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Publications in Category "In Conference"

1. R. Vega, P. Gorji, Z. Zhang, X. Qin, A. Hareendranathan, J. Kapur, J. Jaremko, R. Greiner. "Sample Efficient Learning of Image-Based Diagnostic Classifiers". Artificial Intelligence and Statistics, March 2021. view
2. C. Sherstan, M. Machado, P. Pilarski. "Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation". International Conference on Intelligent Robots and Systems, pp 2997-3003, December 2020. view
3. K. Khan, G. Sahu, V. Balasubramanian, L. Mou, O. Vechtomova. "Adversarial Learning on the Latent Space for Diverse Dialog Generation". Conference on Computational Linguistics (COLING), pp 5026-5034, December 2020. PDFview
4. Y. Wang, Y. Wu, L. Mou, Z. Li, W. Chao. "Formality Style Transfer with Shared Latent Space". Conference on Computational Linguistics (COLING), pp 2236-2249, December 2020. PDFview
5. H. Bashier, M. Kim, R. Goebel. "RANCC: Rationalizing Neural Networks via Concept Clustering". Conference on Computational Linguistics (COLING), pp 3214–3224, December 2020. view
6. M. Yousefnezhad, A. Selvitella, D. Zhang. "Shared Space Transfer Learning for analyzing multi-site fMRI data". NIPS Workshop on Machine Learning and Games, December 2020. view
7. Y. Luan, B. Hauer, L. Mou, G. Kondrak. "Improving Word Sense Disambiguation with Translations ". EMNLP - Conference on Empirical Methods in Natural Language Processing, pp 4055-4065, November 2020. PDFview
8. N. Sturtevant, N. Decroocq, A. Tripodi, C. Yang, M. Guzdial. "A Demonstration of Anhinga: A Mixed-Initiative EPCG Tool for Snakebird ". National Conference on Artificial Intelligence (AAAI), pp 328-330, October 2020. PDFview
9. N. Sturtevant, S. Shperberg, A. Felner, J. Chen. "Predicting the Effectiveness of Bidirectional Heuristic Search". ICAPS, (ed: J. Christopher Beck, Olivier Buffet, Jörg Hoffmann, Erez Karpas, Shirin Sohrabi), pp 281-290, October 2020. PDFview
10. D. Atzmon, R. Stern, A. Felner, N. Sturtevant, S. Koenig. "Probabilistic Robust Multi-Agent Path Finding". ICAPS, (ed: J. Christopher Beck, Olivier Buffet, Jörg Hoffmann, Erez Karpas, Shirin Sohrabi), pp 29-37, October 2020. PDFview
11. N. Sturtevant, N. Decroocq, A. Tripodi, M. Guzdial. "The unexpected consequence of incremental design changes ". National Conference on Artificial Intelligence (AAAI), pp 130-136, October 2020. PDFview
12. N. Sood, L. Bindra, O. Zaiane. "Bi-Level Associative Classifier using Automatic Learning on Rules". International Conference on Database and Expert Systems Applications (DEXA), (ed: Sven Hartmann, Josef Küng, Gabriele Kotsis, A Min Tjoa, Ismail Khalil), pp 201-216, September 2020. PDFview
13. N. Sood, O. Zaiane. "Building a Competitive Associative Classifier". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), (ed: Min Song, Il-Yeol Song, Gabriele Kotsis, A. Min Tjoa, Ismail Khalil), pp 223-234, September 2020. PDFview
14. M. Strobl, J. Sander, R. Campello, O. Zaiane. "Model-based Clustering with HDBSCAN*". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databa, September 2020. PDFview
15. B. Hallworth, A. Shehata, M. Dawson, F. Sperle, M. Connan, W. Friedl, B. Vodermayer, C. Castellini, J. Hebert, P. Pilarski. "A Transradial Modular Adaptable Platform for Evaluating Prosthetic Feedback and Control Strategies". Myoelectric Control Symposium, August 2020. view
16. M. Dawson, H. Williams, G. Murgatroyd, J. Hebert, P. Pilarski. "brachIOplexus: Myoelectric Training Software for Clinical and Research Applications". Myoelectric Control Symposium, August 2020. view
17. L. Longo, R. Goebel, F. Lecue, P. Kieseberg, A. Holzinger. "Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions ". Machine Learning and Knowledge Extraction, pp 1-16, August 2020. view
18. R. Schumann, L. Mou, Y. Lu, O. Vechtomova, K. Markert. "Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 5032–5042, July 2020. PDFview
19. J. Wen, R. Greiner, D. Schuurmans. "Domain Aggregation Networks for Multi-Source Domain Adaptation". International Conference on Machine Learning (ICML), July 2020. view
20. D. Kumar, L. Mou, L. Golab, O. Vechtomova. "Iterative Edit-Based Unsupervised Sentence Simplification". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 7918–7928, July 2020. PDFview
21. D. Atzmon, J. Li, A. Felner, E. Nachmani, S. Shperberg, N. Sturtevant, S. Koenig. "Multi-Directional Heuristic Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Christian Bessiere), pp 4062-4068, July 2020. PDFview
22. L. Mou, O. Vechtomova. "Stylized Text Generation: Approaches and Applications". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 19–22, July 2020. PDFview
23. J. Liigand, F. Wang, D. Arnd, R. Greiner, D. Wishart. "CFM-ID 4.0: Substantially improved fragmentation algorithm and extended rules-based coverage of predicting ESI MS/MS spectra". ASMS Conference on Mass Spectrometry and Allied Topics, Online, June 2020. view
24. N. Sturtevant, M. Helmert. "A Guide to Budgeted Tree Search". Symposium on Combinatorial Search, (ed: Daniel Harabor, Mauro Vallati), pp 75-81, May 2020. PDFview
25. P. Leal, B. Kartal, M. Taylor. "A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 2146-2148, May 2020. PDFview
26. R. D'Orazio, D. Morrill, J. Wright, M. Bowling. "Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Amal El Fallah Seghrouchni, Gita Sukthankar, Bo An, Neil Yorke-Smith), pp 339-347, May 2020. view
27. A. Parker, A. Edwards, P. Pilarski. "Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb". International Conference on Rehabilitation Robotics (ICORR), pp 1239–1246, May 2020. view
28. M. Strobl, A. Trabelsi, O. Zaiane. "WEXEA: Wikipedia EXhaustive Entity Annotation". International Conference on Language Resources and Evaluation, (ed: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, et al.), pp 1944-1951, May 2020. PDFview
29. C. Liu, C. Largeron, O. Zaiane, S. Gharaghooshi. "A Late-fusion Approach to Community Detection in Attributed Networks". Symposium on Intelligent Data Analysis (IDA), (ed: Michael R. Berthold, Ad Feelders, Georg Krempl), pp 300-312, April 2020. PDFview
30. S. Gharaghooshi, O. Zaiane, C. Largeron, M. Zafarmand, C. Liu. "Addressing the Resolution Limit and the Field of View Limit in Community Mining". Symposium on Intelligent Data Analysis (IDA), (ed: Michael R. Berthold, Ad Feelders, Georg Krempl), pp 210-222, April 2020. PDFview
31. N. Hassanpour, R. Greiner. "Learning Disentangled Representations for CounterFactual Regression". International Conference on Learning Representations, April 2020. PDFview
32. Q. Lan, Y. Pan, A. Fyshe, M. White. "Maxmin Q-learning: Controlling the Estimation Bias of Q-learning". International Conference on Learning Representations, pp n/a, April 2020. PDFview
33. N. Sturtevant, D. Sigurdson, B. Taylor, T. Gibson. "Abstraction and Refinement in Games with Dynamic Weighted Terrain". National Conference on Artificial Intelligence (AAAI), pp 13697-13699, February 2020. PDFview
34. M. Machado, M. Bellemare, M. Bowling. "Count-Based Exploration with the Successor Representation". National Conference on Artificial Intelligence (AAAI), pp 5125-5133, February 2020. PDFview
35. C. Sherstan, S. Dohare, J. MacGlashan, J. Günther, P. Pilarski. "Gamma-Nets: Generalizing Value Estimation over Timescale". National Conference on Artificial Intelligence (AAAI), pp 5717-5725, February 2020. PDFview
36. T. Walker, N. Sturtevant, A. Felner. "Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search". National Conference on Artificial Intelligence (AAAI), pp 7277-7284, February 2020. PDFview
37. M. Chowdhury, M. Müller, J. You. "Guiding CDCL SAT Search via Random Exploration amid Conflict Depression". National Conference on Artificial Intelligence (AAAI), pp 1428-1435, February 2020. PDFview
38. F. Silva, P. Hernandez-Leal, B. Kartal, M. Taylor. "Providing Uncertainty-Based Advice for Deep Reinforcement Learning". National Conference on Artificial Intelligence (AAAI), pp 13913-13914, February 2020. PDFview
39. Y. Chen, R. Goebel, B. Su, W. Tong, Y. Xu, A. Zhang. "A 21/16-approximation for the minimum 3-path partition problem". International Symposium on Algorithms and Computation (ISAAC), pp 1-20, December 2019. PDFview
40. R. D'Orazio, D. Morrill, J. Wright. "Bounds for Approximate Regret-Matching Algorithms". Neural Information Processing Systems (NIPS), December 2019. PDFview
41. R. Kumaraswamy, M. Schlegel, A. White, M. White. "Context-dependent Upper-confidence Bounds for Directed Exploration". Neural Information Processing Systems (NIPS), December 2019. view
42. F. Li, M. Bowling. "Ease-of-Teaching and Language Structure from Emergent Communication". Neural Information Processing Systems, pp 15825-15835, December 2019. PDFview
43. M. Schlegel, W. Chung, D. Graves, J. Qian, M. White. "Importance Resampling for Off-policy Prediction". Neural Information Processing Systems (NIPS), (ed: Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alche-Buc, Emily B. Fox, Roman Garnett), pp 1797-1807, December 2019. view
44. F. Aminmansour, A. Patterson, L. Le, Y. Pen, D. Mitchell, F. Pestilli, C. Caiafa, R. Greiner, M. White. "Learning Macroscopic Brain Connectomes via Group-Sparse Factorization". Neural Information Processing Systems (NIPS), (ed: H. Wallach, H. Larochelle, A. Beygelzimer, F. de-Buc, E. Fox, R. Garnett), pp 8847-8857, December 2019. view
45. C. Xiao, J. Mei, R. Huang, D. Schuurmans, M. Müller. "Maximum Entropy Monte-Carlo Planning". Neural Information Processing Systems (NIPS), pp 9516-9524, December 2019. view
46. K. Javed, M. White. "Meta-Learning Representations for Continual Learning". Neural Information Processing Systems (NIPS), (ed: Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alche-Buc, Emily B. Fox, Roman Garnett), pp 1818-1828, December 2019. PDFview
47. P. Cao, S. Tang, M. Huang, J. Yang, D. Zhao, A. Trabelsi, O. Zaiane. "Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s disease". IEEE International Conference on Bioinformatics and Biomedicine , (ed: Illhoi Yoo, Jinbo Bi, Xiaohua Hu), pp n/a, November 2019. PDFview
48. Y. Wang, Y. Wu, L. Mou, Z. Li, W. Chao. "Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer". EMNLP - Conference on Empirical Methods in Natural Language Processing, pp 3573–3578, November 2019. view
49. S. Bushi, O. Zaiane. "APNEA: Intelligent Ad-Bidding Using Sentiment Analysis". IEEE/WIC/ACM International Conference on Web Intelligence, pp 76-83, October 2019. view
50. M. Soltanpour, R. Greiner, P. Boulanger, B. Buck. "Ischemic Stroke Lesion Prediction in CT Perfusion Scans Using Multiple Parallel U-Nets Following by a Pixel-level Classifier". IEEE Symposium on Bioinformatics and Bioengineering(BIBE), pp 957-963, October 2019. PDFview
51. N. Sturtevant, D. Sigurdson, B. Taylor, T. Gibson. "Pathfinding and Abstraction with Dynamic Terrain Costs". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Gillian Smith, Levi Lelis), pp 80-86, October 2019. PDFview
52. N. Farruque, O. Zaiane, R. Goebel. "Augmenting semantic representation of depressive language: from forums to microblogs". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databa, Würzburg, Germany, (ed: Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet), pp 359-375, September 2019. PDFview
53. R. Sobhannejad, L. Rourke, O. Zaiane. "Evaluating Image Training Systems for Medical Students". International Conference on Web-based Learning, (ed: Herzog M., Kubincová Z., Han P., Temperini M.), pp 323-326, September 2019. PDFview
54. M. Chowdhury, M. Müller, J. You. "Exploiting Glue Clauses to Design Effective CDCL Branching Heuristics". International Conference on Principles and Practice of Constraint Programming (CP), Stamford, USA, (ed: Schiex T., de Givry S.), pp 126-143, September 2019. view
55. M. Mehrjardi, A. Trabelsi, O. Zaiane. "Self-attentional Models Application in Task-oriented Dialogue Generation Systems". Recent Advances in Natural Language Processing, Varna, Bulgaria, (ed: Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova), pp 1031 - 1040, September 2019. view
56. K. Yu, N. Sturtevant. "Application of Retrograde Analysis on Fighting Games". IEEE Conference on Games, pp 682-689, August 2019. view
57. K. Vu, G. Erickson, C. Bellinger, R. Clark, A. Osornio-Vargas, O. Zaiane, Y. Yuan. "Combined Effect of Industrial Airborne Pollutants on Birth Outcomes in Alberta". International Conference on Applied Mathematics, Modelling and Computational Science, Waterloo, Canada, pp 366, August 2019. view
58. J. Chen, N. Sturtevant. "Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 1220-1226, August 2019. PDFview
59. N. Hassanpour, R. Greiner. "Counterfactual Regression with Importance Sampling Weights". International Joint Conference on Artificial Intelligence (IJCAI), pp 5880-5887, August 2019. PDFview
60. M. Riazi, O. Zaiane, T. Takeuchi, J. Gunther, M. Lipsett. "Detecting the Onset of Machine Failure Using Anomaly Detection Methods". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Linz, Austria, pp 3-12, August 2019. view
61. S. Hu, N. Sturtevant. "Direction-Optimizing Breadth-First Search with External Memory Storage". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 1258-1264, August 2019. PDFview
62. Y. Pan, H. Yao, A. Farahmand, M. White. "Hill Climbing on Value Estimates for Search-control in Dyna". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 3209-3215, August 2019. view
63. M. Helmert, T. Lattimore, L. Lelis, L. Orseau, N. Sturtevant. "Iterative Budgeted Exponential Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 1249-1257, August 2019. PDFview
64. Z. Lou, M. Guzdial, M. Riedl. "Making CNNs for Video Parsing Accessible". International Conference on the Foundations of Digital Games, (ed: Sebastian Deterding, Foaad Khosmood, Johanna Pirker, Thomas Apperley), August 2019. view
65. J. Mei, C. Xiao, R. Huang, D. Schuurmans, M. Müller. "On Principled Entropy Exploration in Policy Optimization". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 3130-3136, August 2019. PDFview
66. Y. Wan, M. Zaheer, R. Sutton, A. White, M. White. "Planning with Expectation Models". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 3649-3655, August 2019. PDFview
67. D. Rebstock, C. Solinas, M. Buro, N. Sturtevant. "Policy Based Inference in Trick-Taking Card Games". IEEE Conference on Games, pp 17-24, August 2019. view
68. S. Sokota, R. D'Orazio, K. Javed, H. Haider, R. Greiner. "Simultaneous Prediction Intervals for Patient-Specific Survival Curves". International Joint Conference on Artificial Intelligence (IJCAI), pp 5975-5981, August 2019. PDFview
69. B. Li, L. Mou, F. Keller. "An Imitation Learning Approach to Unsupervised Parsing". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 3485–3492, July 2019. PDFview
70. V. John, L. Mou, H. Bahuleyan, O. Vechtomova. "Disentangled Representation Learning for Non-Parallel Text Style Transfer". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 424–434, July 2019. PDFview
71. Y. Bao, H. Zhou, S. Huang, L. Li, L. Mou, O. Vechtomova, X. Dai, J. Chen. "Generating Sentences from Disentangled Syntactic and Semantic Spaces". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 6008–6019, July 2019. PDFview
72. S. Shperberg, A. Felner, S. Shimony, N. Sturtevant, A. Hayoun. "Improving Bidirectional Heuristic Search by Bounds Propagation". Symposium on Combinatorial Search, (ed: Pavel Surynek, William Yeoh), pp 106-114, July 2019. PDFview
73. P. Pilarski, A. Butcher, M. Johanson, M. Botvinick, A. Bolt, A. Parker. "Learned human-agent decision-making, communication and joint action in a virtual reality environment". Multidisciplinary Conference on Reinforcement Learning and Decision Making, July 2019. view
74. R. Stern, N. Sturtevant, A. Felner, S. Koenig, H. Ma, T. Walker, J. Li, D. Atzmon, L. Cohen, T. Kumar, R. Barták, E. Boyarski. "Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks". Symposium on Combinatorial Search, (ed: Pavel Surynek, William Yeoh), pp 151-159, July 2019. PDFview
75. J. Chen, N. Sturtevant, W. Doyle, W. Ruml. "Revisiting Suboptimal Search". Symposium on Combinatorial Search, (ed: Pavel Surynek, William Yeoh), pp 18-25, July 2019. PDFview
76. T. Walker, N. Sturtevant, A. Felner. "Unbounded Sub-Optimal Conflict-Based Search in Complex Domains". Symposium on Combinatorial Search, (ed: Pavel Surynek, William Yeoh), pp 204-205, July 2019. PDFview
77. A. Kearney, P. Pilarski. "When is a Prediction Knowledge?". Multidisciplinary Conference on Reinforcement Learning and Decision Making, July 2019. view
78. J. Rabelo, M. Kim, R. Goebel. " Combining Similarity and Transformer Methods for Case Law Entailment". International Conference on Artificial Intelligence and Law (ICAIL), pp 290-296, June 2019. PDFview
79. A. Trabelsi, O. Zaiane. " PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances". International AAAI Conference on Web and Social Media (ICWSM 2019), Munich, Germany, pp 482-492, June 2019. PDFview
80. C. Huang, A. Trabelsi, O. Zaiane. "ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT". SemEval 2019 at the Annual Conference of the North American Chapter of the Association for Computati, Minneapolis, USA, pp 49-53, June 2019. PDFview
81. J. Foerster, H. Song, E. Hughes, N. Burch, I. Dunning, S. Whiteson, M. Botvinick, M. Bowling. "Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning". International Conference on Machine Learning (ICML), (ed: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), pp 1942-1951, June 2019. PDFview
82. J. Rabelo, M. Kim, R. Goebel, M. Yoshioka, Y. Kano, K. Satoh. "COLIEE Overview". International Competition on Legal Information Extraction/Entailment, pp 1-9, June 2019. view
83. M. Guzdial, M. Riedl. "Combinets: Creativity via Recombination of Neural Networks". International Conference on Computational Creativity (ICCC), (ed: Kazjon Grace, Michael Cook, Dan Ventura, Mary Lou Maher), pp 180-187, June 2019. PDFview
84. N. Dziri, E. Kamalloo, K. Mathewson, O. Zaiane. "Evaluating Coherence in Dialogue Systems using Entailment". NAACL Annual Conference of the North American Chapter of the Association for Computational Linguisti, Minneapolis, USA, pp 3806–3812, June 2019. PDFview
85. M. Kim, J. Rabelo, R. Goebel. "Statute Law Information Retrieval and Entailment". International Conference on Artificial Intelligence and Law (ICAIL), pp 283-289, June 2019. PDFview
86. H. Bahuleyan, L. Mou, H. Zhou, O. Vechtomova. "Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation". NAACL Annual Conference of the North American Chapter of the Association for Computational Linguisti, Minneapolis, USA, pp 4068–4076, June 2019. PDFview
87. J. Castellanos-Cruz, M. Tavakoli, P. Pilarski, K. Adams. "Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories". International Conference on Rehabilitation Robotics (ICORR), pp 175-180, June 2019. view
88. D. Brenneis, M. Dawson, H. Tanikawa, J. Hebert, J. Carey, P. Pilarski. "The Effect of an Automatically Levelling Wrist Control System". International Conference on Rehabilitation Robotics (ICORR), pp 816-823, June 2019. view
89. D. Gross, I. Steenstra, W. Shaw, P. Yousefi, C. Bellinger, O. Zaiane. "Validation of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Injured Workers". Work Disability Prevention and Integration Conference, Odense, Denmark, June 2019. view
90. M. Guzdial, N. Liao, J. Chen, S. Chen, S. Shah, V. Shah, J. Reno, G. Smith, M. Riedl. "Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators". International Conference on Human Factors in Computing Systems (CHI), (ed: Stephen A. Brewster, Geraldine Fitzpatrick, Anna L. Cox, Vassilis Kostakos), pp 624, May 2019. view
91. H. Williams, Q. Boser, P. Pilarski, C. Chapman, A. Vette, J. Hebert. "Hand Function Kinematics when using a Simulated Myoelectric Prosthesis". International Conference on Rehabilitation Robotics (ICORR), pp 169-174, May 2019. view
92. J. Günther, A. Kearney, N. Ady, M. Dawson, P. Pilarski. "Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor), pp 1967–1969, May 2019. view
93. B. Rafiee, S. Ghiassian, A. White, R. Sutton. "Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor), pp 332-340, May 2019. view
94. M. Lipsett, A. Maltais, M. Riazi, N. Olmedo, O. Zaiane. "Robot Manipulator Drive Fault Diagnostics Using Data-Driven and Analytical Modelling". Machinery Failure Prevention Techology (MFPT), pp 11-22, May 2019. PDFview
95. W. Chung, S. Nath, A. Joseph, M. White. "Two-Timescale Networks for Nonlinear Value Function Approximation". International Conference on Learning Representations, May 2019. view
96. B. Wei, S. Lu, L. Mou, H. Zhou, P. Poupart, G. Li, Z. Jin. "Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation". ICASSP, pp 7290-7294, May 2019. view
97. Y. Chen, R. Goebel, G. Lin, L. Liu, B. Su, W. Tong, Y. Xu, A. Zhang. "A local search 4/3-approximation algorithm for the minimum 3-path partition problem". International Frontiers of Algorithms Workshop (FAW), Sanya, China, pp 14-25, April 2019. PDFview
98. N. Farruque, C. Huang, O. Zaiane, R. Goebel. "Basic and depression specific emotion identification in Tweets: multi-label classification experiments". International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), La Rochelle, France, April 2019. PDFview
99. A. Trabelsi, O. Zaiane. "Contrastive Reasons Detection and Clustering from Online Polarized Debates". International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), La Rochelle, France, April 2019. PDFview
100. C. Zhang, O. Zaiane. "Neighbor-based Link Prediction with Edge Uncertainty". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Macau, China, pp 462-474, April 2019. PDFview
101. M. Magyar-Ng, A. Satriano, L. Lei, Y. Mikami, S. Kalmady, B. Hoehn, B. Heydari, M. Yuan, N. Merchant, A. Howarth, C. Lydell, R. Greiner, N. Fine, J. White. " Machine Learning of Regional 3D Myocardial Deformation from Cardiac MRI for the Identification of Ischemic and Non-Ischemic Dilated Cardiomyopathy in Patients with Reduced Left-Ventricular Function". Society for Cardiovascular Magnetic Resonance, Bellevue, Washington, February 2019. view
102. N. Hassanpour. "Counterfactual Reasoning in Observational Studies". National Conference on Artificial Intelligence (AAAI), February 2019. PDFview
103. Y. Lu, L. Liu, Z. Jiang, M. Yang, R. Goebel. " A Multi-task Learning Framework for Abstractive Text Summarization". National Conference on Artificial Intelligence (AAAI), pp 9987-9988, January 2019. PDFview
104. Z. Sun, Q. Zhu, L. Mou, Y. Xiong, G. Li, L. Zhang. "A Grammar-Based Structural CNN Decoder for Code Generation". National Conference on Artificial Intelligence (AAAI), pp 7055-7062, January 2019. view
105. N. Miao, H. Zhou, L. Mou, R. Yan, L. Li. "CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling". National Conference on Artificial Intelligence (AAAI), pp 6834-6842, January 2019. PDFview
106. S. Shperberg, A. Felner, N. Sturtevant, S. Shimony, A. Hayoun. "Enriching Non-Parametric Bidirectional Search Algorithms". National Conference on Artificial Intelligence (AAAI), pp 2379-2386, January 2019. view
107. A. Jacobsen, M. Schlegel, C. Linke, T. Degris, A. White, M. White. "Meta-descent for Online, Continual Prediction". National Conference on Artificial Intelligence (AAAI), pp 3943-3950, January 2019. view
108. T. Davis, K. Waugh, M. Bowling. "Solving Large Extensive-Form Games with Strategy Constraints". National Conference on Artificial Intelligence (AAAI), pp 1861-1868, January 2019. PDFview
109. V. Liu, R. Kumaraswamy, L. Le, M. White. "The Utility of Sparse Representations for Control in Reinforcement Learning". National Conference on Artificial Intelligence (AAAI), pp 4384-4391, January 2019. view
110. S. Sriram, M. Lanctot, V. Zambaldi, J. Perolat, K. Tuyls, R. Munos, M. Bowling. "Actor-Critic Policy Optimization in Partially Observable Multiagent Environments". Neural Information Processing Systems (NIPS), (ed: Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett), pp 3426-3439, December 2018. PDFview
111. E. Imani, E. Graves, M. White. "An Off-policy Policy Gradient Theorem Using Emphatic Weightings". Neural Information Processing Systems (NIPS), (ed: Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolo Cesa-Bianchi, Roman Garnett), pp 96-106, December 2018. PDFview
112. L. Liu, G. Ni, Y. Chen, R. Goebel, Y. Luo, A. Zhang, G. Lin. "Approximation algorithms and a hardness result for the three-machine proportionate mixed shop". International Conference on Algorithmic Aspects in Information and Management (AAIM), Dallas, United States, pp 268-280, December 2018. PDFview
113. H. Samuel, B. Noori, S. Farazi, O. Zaiane. "Context Prediction in the Social Web using Applied Machine Learning: A Study of Canadian Tweeters". IEEE/WIC/ACM International Conference on Web Intelligence, Santiago, Chile, December 2018. PDFview
114. L. Le, A. Patterson, M. White. "Supervised autoencoders: Improving generalization performance with unsupervised regularizers". Neural Information Processing Systems (NIPS), (ed: Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, NicoloCesa-Bianchi, Roman Garnett), pp 107--117, December 2018. PDFview
115. M. Guzdial, M. Riedl. "Automated Game Design via Conceptual Expansion". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Jonathan P. Rowe, Gillian Smith), pp 31-37, November 2018. view
116. Y. Kano, M. Kim, M. Yoshioka, Y. Lu, J. Rabelo, N. Kiyota, R. Goebel, K. Satoh. "COLIEE-2018: Evaluation of the Competition on Legal Information Extraction and Entailment". Evaluation of the Competition on Legal Information Extraction and Entailment, Yokohama, Japan, pp 177-192, November 2018. PDFview
117. N. Sturtevant, M. Ota. "Exhaustive and Semi-Exhaustive Procedural Content Generation". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Jonathan P. Rowe, Gillian Smith), pp 109-115, November 2018. view
118. J. Rabelo, M. Kim, H. Babiker, R. Goebel, N. Farruque. "Legal Information Extraction and Entailment for Statute Law and Case Law". International Workshop on Jurisinformatics (JURISIN), Yokohama, Japan, pp 142-155, November 2018. view
119. A. Zhang, Y. Chen, R. Goebel, G. Lin. "Open-shop scheduling for unit jobs under precedence constraints". International Conference on Combinatorial Optimization and Applications, Atlanta, USA, pp 329-340, November 2018. PDFview
120. Z. Lou, M. Guzdial, M. Riedl. "Player Experience Extraction from Gameplay Video". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Jonathan P. Rowe, Gillian Smith), pp 52-58, November 2018. PDFview
121. S. Sharma, C. Bellinger, B. Krawczyk, N. Japkowicz, O. Zaiane. "Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance". IEEE International Conference on Data Mining (ICDM), Singapore, November 2018. PDFview
122. D. Gross, I. Steenstra, W. Shaw, P. Yousefi, C. Bellinger, O. Zaiane. "Validation of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Injured Workers". The Society for Back Pain Research annual conference (CBPR 2018), Groningen, The Netherlands, November 2018. view
123. G. Vasan, P. Pilarski. "Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm". Robotics & Automation w/ International Conference on Biomedical Robotics and Biomechatronics, October 2018. view
124. A. Kearney, A. Koop, C. Sherstan, J. Günther, R. Sutton, P. Pilarski, M. Taylor. "Evaluating Predictive Knowledge". AAAI Fall Symposium, pp 43-46, October 2018. view
125. C. Huang, O. Zaiane. "Generating Responses Expressing Emotion in an Open-domain Dialogue System". CONVERSATIONS: 2nd International Workshop on Chatbot Research, St. Petersburg, Russia, October 2018. PDFview
126. D. Brenneis, M. Dawson, G. Murgatroyd, J. Carey, P. Pilarski. "Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame". Robotics & Automation w/ International Conference on Biomedical Robotics and Biomechatronics, October 2018. view
127. J. Günther, A. Kearney, M. Dawson, C. Sherstan, P. Pilarski. "Predictions, Surprise, and Predictions of Surprise in General Value Function Architectures". AAAI Fall Symposium, pp 22-29, October 2018. view
128. J. Castellanos-Cruz, M. Gómez-Medina, M. Tavakoli, P. Pilarski, K. Adams. "Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention during a Playful Activity". Robotics & Automation w/ International Conference on Biomedical Robotics and Biomechatronics, pp 1280–1285, October 2018. view
129. E. Guliyev, S. Kalmady, R. Greiner, S. Dursun, A. Ucok. "Neurocognition for the classification of first episode schizophrenia, unaffected family members and healthy controls: A machine learning study". ECNP Congress, pp S428-S429, September 2018. PDFview
130. R. Wang, O. Zaiane. "Sequence-based Approaches to Course Recommender Systems". International Conference on Database and Expert Systems Applications (DEXA), Regensburg, Germany, September 2018. PDFview
131. C. Sherstan, B. Bennett, K. Young, D. Ashley, A. White, M. White, R. Sutton. "Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return". Conference on Uncertainty in Artificial Intelligence (UAI), (ed: Amir Globerson and Ricardo Silva), pp 63-72, August 2018. PDFview
132. C. Zhang, O. Zaiane. "Detecting Local Communities in Networks with Edge Uncertainty". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, pp 9-16, August 2018. PDFview
133. R. Goebel, A. Chander, K. Holzinger, F. Lecue, Z. Akata, S. Stumpf, P. Kieseberg, A. Holzinger. "Explainable AI: The New 42?". Machine Learning and Knowledge Extraction, Hamburg, Germany, pp 295-303, August 2018. view
134. T. Sajed, W. Chung, M. White. "High-confidence error estimates for learned value functions". Conference on Uncertainty in Artificial Intelligence (UAI), (ed: Amir Globerson, Ricardo Silva), pp 683-692, August 2018. PDFview
135. H. Bahuleyan, L. Mou, O. Vechtomova, P. Poupart. "Variational Attention for Sequence-to-Sequence Models". Conference on Computational Linguistics (COLING), pp 1672–1682, August 2018. view
136. Y. Cai, G. Chen, Y. Chen, R. Goebel, G. Lin, L. Liu, A. Zhang. "Approximation Algorithms for Two-machine Flow-shop Scheduling with a Conflict Graph". International Computing and Combinatorics Conference (COCOON), Qingdao, China, pp 205-217, July 2018. PDFview
137. L. Mou, Z. Lu, H. Li, Z. Jin. "Coupling Distributed and Symbolic Execution for Natural Language Queries". International Conference on Machine Learning (ICML), pp 2518-2526, July 2018. PDFview
138. T. Walker, N. Sturtevant, A. Felner. "Extended Increasing Cost Tree Search for Non-Unit Cost Domains". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Jérôme Lang), pp 534-540, July 2018. PDFview
139. E. Imani, M. White. "Improving Regression Performance with Distributional Losses". International Conference on Machine Learning (ICML), (ed: Jennifer G. Dy, Andreas Krause), pp 2162-2171, July 2018. PDFview
140. X. Liu, L. Mou, H. Cui, Z. Lu, S. Song. "JUMPER: Learning When to Make Classification Decisions in Reading". International Joint Conference on Artificial Intelligence (IJCAI), pp 4237–4243, July 2018. PDFview
141. E. Shaham, A. Felner, N. Sturtevant, J. Rosenschein. "Minimizing Node Expansions in Bidirectional Search with Consistent Heuristics". Symposium on Combinatorial Search, (ed: Vadim Bulitko, Sabine Storandt), pp 81-98, July 2018. PDFview
142. Y. Pan, M. Zaheer, A. White, A. Patterson, M. White. "Organizing Experience: a Deeper Look at Replay Mechanisms for Samplebased Planning in Continuous-State Domains". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Jerome Lang), pp 4794--4800, July 2018. PDFview
143. L. Cohen, G. Wagner, D. Chan, H. Choset, N. Sturtevant, S. Koenig, T. Kumar. "Rapid Randomized Restarts for Multi-Agent Path Finding Solvers". Symposium on Combinatorial Search, (ed: Vadim Bulitko, Sabine Storandt), pp 148-152, July 2018. PDFview
144. L. Cohen, S. Koenig, T. Kumar, G. Wagner, H. Choset, D. Chan, N. Sturtevant. "Rapid Randomized Restarts for Multi-Agent Path Finding: Preliminary Results". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Elisabeth André, Sven Koenig, Mehdi Dastani, Gita Sukthankar), pp 1909-1911, July 2018. PDFview
145. Y. Pan, A. Farahmand, M. White, S. Nabi, P. Grover, D. Nikovski. "Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control". International Conference on Machine Learning (ICML), (ed: Jennifer G. Dy, Andreas Krause), pp 3983-3992, July 2018. PDFview
146. C. Gao, M. Müller, R. Hayward. "Three-Head Neural Network Architecture for Monte Carlo Tree Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Jérôme Lang), pp 3762-3768, July 2018. PDFview
147. C. Huang, O. Zaiane, A. Trabelsi, N. Dziri. "Automatic Dialogue Generation with Expressed Emotions". NAACL Annual Conference of the North American Chapter of the Association for Computational Linguisti, New Orleans, USA, June 2018. PDFview
148. M. Guzdial, N. Liao, V. Shah, M. Riedl. "Creative Invention Benchmark". International Conference on Computational Creativity (ICCC), (ed: François Pachet, Anna Jordanous, Carlos León), pp 192-199, June 2018. PDFview
149. M. Chowdhury, M. Müller, J. You. "GrandTour-obs Puzzle as a SAT Benchmark". SAT Competition, (ed: Heule , M J H , Järvisalo , M J & Suda , M), pp 59-60, June 2018. PDFview
150. G. Fan, R. Holte, M. Müller. "MS-Lite: A Lightweight, Complementary Merge-and-Shrink Method". ICAPS, pp 74-82, June 2018. view
151. D. Dharmaretnam, A. Fyshe. "The Emergence of Semantics in Neural Network Representations of Visual Information". NAACL Annual Conference of the North American Chapter of the Association for Computational Linguisti, New Orleans, USA, pp 776–780, June 2018. PDFview
152. A. Trabelsi, O. Zaiane. "Unsupervised Model for topic viewpoint discovery in online debates leveraging author interactions". International AAAI Conference on Web and Social Media (ICWSM 2018), Stanford, USA, June 2018. PDFview
153. N. Hassanpour, R. Greiner. "A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits". Canadian Conference on Artificial Intelligence, (ed: Ebrahim Bagheri, Jackie Chi Kit Cheung), pp 31-44, May 2018. PDFview
154. H. Samuel, O. Zaiane. "MedFact: Towards Improving Veracity of Medical Information in Social Media using Applied Machine Learning". Canadian Artificial Intelligence Conference, Toronto, Canada, May 2018. PDFview
155. C. Gao, M. Müller, R. Hayward. "Adversarial Policy Gradient for Alternating Markov Games". International Conference on Learning Representations, pp n/a, April 2018. PDFview
156. N. Asghar, P. Poupart, J. Hoey, X. Jiang, L. Mou. "Affective Neural Response Generation". ECIR, pp 154-166, March 2018. PDFview
157. N. Sturtevant, A. Felner. "A Brief History and Recent Achievements in Bidirectional Search". National Conference on Artificial Intelligence (AAAI), (ed: Sheila A. McIlraith, Kilian Q. Weinberger), pp 8000-8007, February 2018. PDFview
158. N. Burch, M. Schmid, M. Moravcik, D. Morrill, M. Bowling. "AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games". National Conference on Artificial Intelligence (AAAI), (ed: Sheila A. McIlraith, Kilian Q. Weinberger), pp 949-956, February 2018. PDFview
159. C. Nielsen, J. Serrano-Lomelin, M. Jabbar, O. Wine, O. Zaiane, A. Osornio-Vargas. "An integrative and collaborative approach to associating adverse birth outcomes and industrial air pollution (Abstract)". Canadian National Perinatal Research Meeting, Banff, Canada, February 2018. view
160. Y. Du, C. Yuan, B. Li, W. Hu, H. Yang, Z. Fu, L. Zhao. "Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition". National Conference on Artificial Intelligence (AAAI), pp 2203–2206, February 2018. PDFview
161. C. Xiao, J. Mei, M. Müller. "Memory-augmented Monte Carlo Tree Search". National Conference on Artificial Intelligence (AAAI), (ed: Sheila A. McIlraith, Kilian Q. Weinberger), pp 1455-1462, February 2018. PDFview
162. L. Sha, L. Mou, T. Liu, P. Poupart, S. Li, B. Chang, Z. Sui. "Order-Planning Neural Text Generation From Structured Data". National Conference on Artificial Intelligence (AAAI), pp 5414-5421, February 2018. PDFview
163. C. Tao, L. Mou, D. Zhao, R. Yan. "RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems". National Conference on Artificial Intelligence (AAAI), pp 722-729, February 2018. PDFview
164. Z. Meng, L. Mou, Z. Jin. "Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models". National Conference on Artificial Intelligence (AAAI), pp 8121-8122, February 2018. PDFview
165. H. Babiker, R. Goebel. "An Introduction to Deep Visual Explanation. Computing Research Repository (CoRR)". Neural Information Processing Systems (NIPS), December 2017. view
166. S. Zhang, O. Zaiane. "Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control". Deep Reinforcement Learning Symposium, NIPS 2017, n/a, December 2017. PDFview
167. S. Prabhakar, O. Zaiane. "Learning Group Formation for Massive Open Online Courses (MOOCs)". International Conference on Educational Technologies, Sydney, Australia, December 2017. PDFview
168. M. Karami, M. White, D. Schuurmans, C. Szepesvari. "Multi-view Matrix Factorization for Linear Dynamical System Estimation". NIPS Workshop on Machine Learning and Games, (ed: Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett), pp 7092-7101, December 2017. PDFview
169. H. Babiker, R. Goebel. "Using KL-divergence to Focus Deep Visual Explanation. Computing Research Repository (CoRR)". Neural Information Processing Systems (NIPS), December 2017. view
170. M. Kim, Y. Lu, R. Goebel. "Exploiting a Siamese Network to Improve Textual Entailment in Answering Legal Bar Exam Questions". International Workshop on Jurisinformatics (JURISIN), November 2017. view
171. X. Liu, P. Cao, J. Yang, D. Zhao, O. Zaiane. "Group guided sparse group lasso multi-task learning for cognitive performance prediction of Alzheimer's disease". International Conference on Brain Informatics, Beijing, China, November 2017. PDFview
172. R. Huang, M. Ajallooeian, C. Szepesvari, M. Müller. "Structured Best Arm Identification with Fixed Confidence". Algorithmic Learning Theory (ALT), (ed: Steve Hanneke, Lev Reyzin), pp 593-616, October 2017. PDFview
173. H. Babiker, R. Goebel, I. Cheng. "Facial Expression Recognition using SVM Classification on Micro-Macro Patterns". IEEE International Conference on Image Processing (ICIP), Beijing, China, September 2017. PDFview
174. S. Prabhakar, J. Spanakis, O. Zaiane. "Reciprocal Recommender System for Users in Massive Open Online Courses (MOOCs)". International Conference on Web-based Learning, Cape Town, South Africa, September 2017. PDFview
175. C. Bellinger, S. Sharma, O. Zaiane, N. Japkowicz. "Sampling a Longer Life: Binary versus One-class Classification Revisited". International Workshop on Learning with Imbalanced Domains: Theory and Applications, Skopje, Macedonia, September 2017. view
176. P. Cao, X. Liu, O. Zaiane, D. Zhao. "Sparse multi-kernel based multi-task learning for joint prediction of clinical scores and biomarker identification in Alzheimer's Disease". International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada, September 2017. PDFview
177. H. Samuel, O. Zaiane. " PubMedReco: A PubMed Citations Recommender System for Real-Time Chat". World Congress on Health and Medical Informatics (MedInfo), Hangzhou, China, August 2017. view
178. K. Golmohammadi, O. Zaiane. " Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Lyon, France, August 2017. PDFview
179. M. Machado, M. Bellemare, M. Bowling. "A Laplacian framework for option discovery in reinforcement learning". International Conference on Machine Learning (ICML), (ed: Doina Precup, Yee Whye Teh), pp 2295-2304, August 2017. view
180. M. Schlegel, Y. Pan, J. Chen, M. White. "Adapting Kernel Representations Online Using Submodular Maximization". International Conference on Machine Learning (ICML), (ed: Doina Precup, Yee Whye Teh), pp 3037-3046, August 2017. PDFview
181. G. Fan, M. Müller, R. Holte. "Additive Merge-and-Shrink Heuristics for Diverse Action Costs". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 4287-4293, August 2017. PDFview
182. D. Brenneis, M. Dawson, P. Pilarski. "Development of the HANDi Hand: An Inexpensive, Multi-Articulating, Sensorized Hand for Machine Learning Research in Myoelectric Control". Myoelectric Control Symposium, August 2017. PDFview
183. Y. Pan, E. Azer, M. White. "Effective sketching methods for value function approximation". Conference on Uncertainty in Artificial Intelligence (UAI), (ed: Gal Elidan, Kristian Kersting, Alexander T. Ihler), pp n/a, August 2017. PDFview
184. K. Siu, M. Guzdial, M. Riedl. "Evaluating Singleplayer and Multiplayer in Human Computation Games". International Conference on the Foundations of Digital Games, (ed: Sebastian Deterding, Alessandro Canossa, Casper Harteveld, Jichen Zhu, Miguel Sicart), August 2017. view
185. C. Gao, M. Müller, R. Hayward. "Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 3668-3674, August 2017. PDFview
186. J. Chen, R. Holte, S. Zilles, N. Sturtevant. "Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 489-495, August 2017. PDFview
187. M. Guzdial, B. Li, M. Riedl. "Game Engine Learning from Video". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 3707-3713, August 2017. PDFview
188. H. Samuel, O. Zaiane. "Iron Mask: Trust-Preserving Anonymity on the Face of Stigmatization in Social Networking Sites". International Conference On Trust, Privacy & Security In Digital Business, Lyon, France, August 2017. PDFview
189. L. Le, R. Kumaraswamy, M. White. "Learning Sparse Representations in Reinforcement Learning with Sparse Coding". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 2067-2073, August 2017. PDFview
190. M. White. "Unifying Task Specification in Reinforcement Learning". International Conference on Machine Learning (ICML), (ed: Doina Precup, Yee Whye Teh), pp 3742-3750, August 2017. PDFview
191. S. Romansky, S. Chowdhury, A. Hindle, N. Borle, R. Greiner. "Deep Green: An Ensemble of Machine Learning Methods Predicting Mobile Energy Consumption". International Conference on Software Maintenance and Evolution, pp 273-283, July 2017. view
192. G. Vasan, P. Pilarski. "Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning". International Conference on Rehabilitation Robotics (ICORR), pp 1457-1464, July 2017. view
193. J. Travnik, P. Pilarski. "Representing High-Dimensional Data to Intelligent Prostheses and other Wearable Assistive Robots: A First Comparison of Tile Coding and Selective Kanerva Coding". International Conference on Rehabilitation Robotics (ICORR), pp 1443-1450, July 2017. view
194. P. Villeneuve, S. Lam, D. Stieb, D. Crouse, M. Tjepkema, L. Pinault, A. Osornio-Vargas, O. Zaiane, P. Hystad, B. Beckerman, M. Jerrett, A. Donkelaar, R. Martin. "Associations between residential greenness and adverse birth outcomes among Canadian women living in urban areas". International Conference on Transport and Health (ICTH), Barcelona, Spain, June 2017. view
195. M. Helmert, N. Sturtevant, A. Felner. "On Variable Dependencies and Compressed Pattern Databases". Symposium on Combinatorial Search, (ed: Alex Fukunaga, Akihiro Kishimoto), pp 129-133, June 2017. PDFview
196. A. Felner, R. Stern, S. Shimony, E. Boyarski, M. Goldenberg, G. Sharon, N. Sturtevant, G. Wagner, P. Surynek. "Search-Based Optimal Solvers for the Multi-Agent Pathfinding Problem: Summary and Challenges". Symposium on Combinatorial Search, (ed: Alex Fukunaga, Akihiro Kishimoto), pp 29-37, June 2017. PDFview
197. J. Eckerle, J. Chen, N. Sturtevant, S. Zilles, R. Holte. "Sufficient Conditions for Node Expansion in Bidirectional Heuristic Search". ICAPS, (ed: Laura Barbulescu, Jeremy Frank, Mausam, Stephen F. Smith), pp 79-87, June 2017. PDFview
198. E. Shaham, A. Felner, J. Chen, N. Sturtevant. "The Minimal Set of States that Must Be Expanded in a Front-to-End Bidirectional Search". Symposium on Combinatorial Search, (ed: Alex Fukunaga, Akihiro Kishimoto), pp 82-90, June 2017. PDFview
199. G. Fan, M. Müller, R. Holte. "The Two-Edged Nature of Diverse Action Costs". ICAPS, (ed: Laura Barbulescu, Jeremy Frank, Mausam, Stephen F. Smith), pp 98-106, June 2017. PDFview
200. M. Kim, R. Goebel. "Two-step cascaded textual entailment for legal bar exam question answering". International Conference on Artificial Intelligence and Law (ICAIL), pp 283-290, June 2017. PDFview
201. T. Walker, D. Chan, N. Sturtevant. "Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding". ICAPS, (ed: Laura Barbulescu, Jeremy Frank, Mausam, Stephen F. Smith), pp 316-324, June 2017. PDFview
202. J. Li, L. Wu, O. Zaiane, H. Liu. "Toward Personalized Relational Learning". SIAM International Conference on Data Mining, Houston, USA, May 2017. PDFview
203. B. Bakhshinategh, G. Spanakis, O. Zaiane, S. ElAtia. "A Course Recommender System based on Graduating Attributes". International Conference on Computer Supported Education, Porto, Portugal, April 2017. PDFview
204. M. Jabbar, O. Zaiane, A. Osornio-Vargas. "Discovering Spatial Contrast and Common Sets with Statistically Significant Co-location Patterns". ACM Symposium on Applied Computing, Marrakech, Morocco, pp 796-803, April 2017. view
205. A. Shahraki, O. Zaiane. "Lexical and Learning-based Emotion Mining from Text". International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), Budapest, Hungary, April 2017. PDFview
206. K. Mathewson, P. Pilarski. "Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception". AAAI Spring Symposium, March 2017. PDFview
207. H. Samuel, O. Zaiane, P. Martz. " Supporting Digital Epidemiology in Alberta Via Twitter Tracking". International Conference on Biomedical and Health Informatics, Orlando, USA, February 2017. PDFview
208. R. Rabbany, O. Zaiane. "A General Clustering Agreement Index: for Comparing Disjoint and Overlapping Clusters". National Conference on Artificial Intelligence (AAAI), San Francisco, USA, pp 2492-2498, February 2017. PDFview
209. Y. Pan, A. White, M. White. "Accelerated Gradient Temporal Difference Learning". National Conference on Artificial Intelligence (AAAI), San Francisco, USA, (ed: Satinder P. Singh, Shaul Markovitch), pp 2464-2470, February 2017. PDFview
210. H. Samuel, M. Kim, S. Prabhakar, M. Jabbar, O. Zaiane. "Community Question Retrieval in Health Forums". International Conference on Biomedical and Health Informatics, Orlando, USA, February 2017. PDFview
211. S. Jain, M. White, P. Radivojac. "Recovering True Classifier Performance in Positive-Unlabeled Learning". National Conference on Artificial Intelligence (AAAI), San Francisco, USA, (ed: Satinder P. Singh, Shaul Markovitch), pp 2066-2072, February 2017. view
212. N. Sturtevant, A. Felner, M. Helmert. "Value Compression of Pattern Databases". National Conference on Artificial Intelligence (AAAI), San Francisco, USA, (ed: Satinder P. Singh, Shaul Markovitch), pp 912-918, February 2017. PDFview
213. O. Benyahia, B. Jeudy, C. Largeron, O. Zaiane. "Un générateur de réseaux dynamiques attribués avec structure communautaire". Extraction et Gestion des Connaissances, Grenoble, France, January 2017. view
214. F. Ahmed, M. Samorani, C. Bellinger, O. Zaiane. "Advantage of Integration in Big Data: Feature Generation in Multi-Relational Databases for Imbalanced Learning ". IEEE International Conference on Big Data, Washington, USA, December 2016. PDFview
215. M. Samorani, F. Ahmed, O. Zaiane. "Automatic Generation of Relational Attributes: An Application to Product Returns". IEEE International Conference on Big Data, Washington, USA, December 2016. PDFview
216. J. Hartford, J. Wright, K. Leyton-Brown. "Deep learning for predicting human strategic behavior". Neural Information Processing Systems (NIPS), (ed: Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett), pp 2424-2432, December 2016. PDFview
217. D. Schuurmans, M. Zinkevich. "Deep Learning Games". Neural Information Processing Systems (NIPS), (ed: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, R. Garnett), pp 1678-1686, December 2016. PDFview
218. S. Jain, M. White, P. Radivojac. "Estimating the class prior and posterior from noisy positives and unlabeled data". Neural Information Processing Systems (NIPS), (ed: Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett), pp 2685-2693, December 2016. PDFview
219. Y. Xu, R. Jia, L. Mou, G. Li, Y. Chen, Y. Lu, Z. Jin. "Improved relation classification by deep recurrent neural networks with data augmentation". Conference on Computational Linguistics (COLING), pp 1461–1470, December 2016. PDFview
220. M. Norouzi, S. Bengio, Z. Chen, N. Jaitly, M. Schuster, Y. Wu, D. Schuurmans. "Reward Augmented Maximum Likelihood for Neural Structured Prediction". Neural Information Processing Systems (NIPS), (ed: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, R. Garnett), pp 1723-1731, December 2016. PDFview
221. K. Milan, J. Veness, J. Kirkpatrick, M. Bowling, A. Koop, D. Hassabis. "The Forget-me-not Process". Neural Information Processing Systems, (ed: Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett), pp 3702-3710, December 2016. PDFview
222. H. Xu, B. Murphy, A. Fyshe. "BrainBench: A Brain-Image Test Suite for Distributional Semantic Models". EMNLP - Conference on Empirical Methods in Natural Language Processing, Austin, USA, pp 2017-2021, November 2016. PDFview
223. P. Cao, X. Liu, D. Zhao, O. Zaiane. "Cost sensitive Ranking Support Vector Machine for Multi-label Data Learning". International Conference on Hybrid Intelligent Systems, Marrakech, Morocco, November 2016. PDFview
224. L. Mou, Z. Meng, R. Yan, G. Li, Y. Xu, L. Zhang, Z. Jin. "How Transferable are Neural Networks in NLP Applications?". EMNLP - Conference on Empirical Methods in Natural Language Processing, Austin, USA, pp 479–489, November 2016. PDFview
225. C. Peterson, A. Fyshe. "Poet Admits // Mute Cypher: Beam Search to nd Mutually Enciphering Poetic Texts". EMNLP - Conference on Empirical Methods in Natural Language Processing, Austin, USA, pp 1339–1347, November 2016. PDFview
226. M. Kim, Y. Xu, Y. Lu, R. Goebel. "Question Answering of Bar Exams by Paraphrasing and Legal Text Analysis". Japanese Society for AI International Symposia on AI, Kanagawa, Japan, pp 299-313, November 2016. PDFview
227. K. Wong, F. Davis, O. Zaiane, Y. Yasui. "Sentiment Analysis of Breast Cancer Screening in the United States using Twitter". International Conference on Knowledge Discovery and Information Retrieval, Porto, Portugal, November 2016. PDFview
228. P. Cao, X. Liu, D. Zhao, O. Zaiane. "Sparse learning and hybrid probabilistic oversampling for Alzheimers Disease diagnosis". International Conference on Hybrid Intelligent Systems, Marrakech, Morocco, November 2016. PDFview
229. Z. Meng, L. Mou, G. Li, Z. Jin. "Context-aware tree-based convolutional neural networks for natural language inference". International Conference on Knowledge Science, Engineering and Management, pp 515-526, October 2016. view
230. M. Guzdial, N. Sturtevant, B. Li. "Deep Static and Dynamic Level Analysis: A Study on Infinite Mario". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), pp 31-38, October 2016. PDFview
231. L. Mou, R. Jia, Y. Xu, G. Li, L. Zhang, Z. Jin. "Distilling Word Embeddings: An Encoding Approach". ACM International Conference on Information and Knowledge Management (CIKM), pp 1977–1980, October 2016. PDFview
232. M. Guzdial, M. Riedl. "Game Level Generation from Gameplay Video". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Nathan Sturtevant, Brian Magerko), pp 44-50, October 2016. view
233. S. Johnson, O. Zaiane. " Learning to Analyze Medical Images: A Smart Adaptive Learning Environment for an Ill-Defined Domain". International Conference on Smart Learning Environments, Tunis, Tunisia, pp 99-108, September 2016. PDFview
234. O. Benyahia, C. Largeron, B. Jeudy, O. Zaiane. "DANCer: dynamic attributed network with community structure generator". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databa, Riva del Garda, Italy, September 2016. view
235. Y. Song, L. Mou, R. Yan, L. Yi, Z. Zhu, X. Hu. "Dialogue Session Segmentation by Embedding-Enhanced TextTiling". Annual Conference of the International Speech Communication Association, pp 2706–2710, September 2016. PDFview
236. Y. Chen, L. Mou, Y. Xu, G. Li, Z. Jin. "Compressing Neural Language Models by Sparse Word Representations". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 226–235, August 2016. view
237. L. Mou, R. Men, G. Li, Y. Xu, L. Zhang, R. Yan, Z. Jin. "Natural Language Inference by Tree-Based Convolution and Heuristic Matching". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 130–136, August 2016. PDFview
238. Z. Ahmad, R. Holte, M. Bowling. "Action selection for hammer shots in curling". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 561-567, July 2016. PDFview
239. N. Sturtevant, S. Rabin. "Canonical Orderings on Grids". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 683-689, July 2016. PDFview
240. G. Sharon, R. Holte, A. Felner, N. Sturtevant. "Extended Abstract: An Improved Priority Function for Bidirectional Heuristic Search". Symposium on Combinatorial Search, (ed: Jorge A. Baier, Adi Botea), pp 139-140, July 2016. PDFview
241. N. Sturtevant, J. Chen. "External Memory Bidirectional Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 676-682, July 2016. PDFview
242. N. Sturtevant. "Generalizing JPS Symmetry Detection: Canonical Orderings on Graphs". Symposium on Combinatorial Search, (ed: Jorge A. Baier, Adi Botea), pp 143-144, July 2016. PDFview
243. C. Gehring, Y. Pan, M. White. "Incremental Truncated LSTD". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 1505-1511, July 2016. PDFview
244. C. Sherstan, M. Machado, A. White, P. Pilarski. "Introspective Agents: Confidence Measures for General Value Functions". Artificial General Intelligence (AGI), New York, USA, (ed: Bas R. Steunebrink, Pei Wang, Ben Goertzel), pp 258-261, July 2016. PDFview
245. T. Yee, V. Lisy, M. Bowling. "Monte Carlo tree search in continuous action spaces with execution uncertainty". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 690-697, July 2016. PDFview
246. R. Goebel. "Why visualization is an AI-complete problem (and why that matters)". Information Visualization, pp 27-32, July 2016. PDFview
247. S. Ravanbakhsh, B. Poczos, R. Greiner. "Boolean matrix factorization and noisy completion via message passing". International Conference on Machine Learning (ICML), (ed: Maria Florina Balcan, Kilian Q. Weinberger), pp 945-954, June 2016. view
248. M. Guzdial, M. Riedl. "Learning to Blend Computer Game Levels". International Conference on Computational Creativity (ICCC), (ed: François Pachet, Amílcar Cardoso, Vincent Corruble, Fiammetta Ghedini), pp 354-362, June 2016. PDFview
249. A. Edwards, J. Hebert, P. Pilarski. "Machine Learning and Unlearning to Autonomously Switch Between the Functions of a Myoelectric Arm". International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp 514-521, June 2016. view
250. M. White, A. White. "A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Catholijn M. Jonker, Stacy Marsella, John Thangarajah, Karl Tuyls), pp 557-565, May 2016. view
251. A. White, M. White. "Investigating Practical Linear Temporal Difference Learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Catholijn M. Jonker, Stacy Marsella, John Thangarajah, Karl Tuyls), pp 494-502, May 2016. view
252. M. Jabbar, O. Zaiane. "Learning Statistically Significant Contrast Sets". Canadian Conference on Artificial Intelligence, May 2016. PDFview
253. H. Cheng, Y. Yu, X. Zhang, E. Xing, D. Schuurmans. "Scalable and sound low rank tensor learning". Artificial Intelligence and Statistics, (ed: Arthur Gretton, Christian C. Robert), pp 1114-1123, May 2016. view
254. Y. Liang, M. Machado, E. Talvitie, M. Bowling. "State of the art control of atari games using shallow reinforcement learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Catholijn M. Jonker, Stacy Marsella, John Thangarajah, Karl Tuyls), pp 485-493, May 2016. view
255. S. Ravanbakhsh, B. Poczos, J. Schneider, D. Schuurmans, R. Greiner. "Stochastic Neural Networks with Monotonic Activation Functions". Artificial Intelligence and Statistics, (ed: Arthur Gretton, Christian C. Robert), pp 809-818, May 2016. PDFview
256. A. Dinevari, O. Zaiane. "Automated Nursing Agent: A Software Agent for At-Home Elderly Care". International Conference on eHealth, Telemedicine, and Social Medicine, Venice, Italy, April 2016. PDFview
257. S. Mohajeri, H. Samuel, O. Zaiane, D. Rafiei. "BubbleNet: An innovative Exploratory Search and Summarization Interface with Applicability in Health Social Media". International Conference on Digital Economy, Carthage, Tunisia, April 2016. PDFview
258. L. Antonie, O. Zaiane, R. Holte. "Redundancy Reduction: Does it Help Associative Classifiers?". ACM Symposium on Applied Computing, Pisa, Italy, pp 867-874, April 2016. PDFview
259. R. Holte, A. Felner, G. Sharon, N. Sturtevant. "Bidirectional Search That Is Guaranteed to Meet in the Middle". National Conference on Artificial Intelligence (AAAI), (ed: Dale Schuurmans, Michael P. Wellman), pp 3411-3417, February 2016. PDFview
260. S. Rabin, N. Sturtevant. "Combining Bounding Boxes and JPS to Prune Grid Pathfinding". National Conference on Artificial Intelligence (AAAI), (ed: Dale Schuurmans, Michael P. Wellman), pp 746-752, February 2016. PDFview
261. L. Mou, G. Li, L. Zhang, T. Wang, Z. Jin. "Convolutional Neural Networks over Tree Structures for Programming Language Processing". National Conference on Artificial Intelligence (AAAI), pp 1287-1293, February 2016. PDFview
262. V. Lisy, T. Davis, M. Bowling. "Counterfactual regret minimization in sequential security games". National Conference on Artificial Intelligence (AAAI), (ed: Dale Schuurmans, Michael P. Wellman), pp 544-550, February 2016. PDFview
263. C. Xiao, M. Müller. "Factorization Ranking Model for Move Prediction in the Game of Go". National Conference on Artificial Intelligence (AAAI), (ed: Dale Schuurmans, Michael P. Wellman), pp 1359-1365, February 2016. PDFview
264. L. Mou, Y. Song, R. Yan, G. Li, L. Zhang, Z. Jin. "Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation". Conference on Computational Linguistics (COLING), pp 3349–3358, February 2016. PDFview
265. X. Li, L. Mou, R. Yan, M. Zhang. "StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation". International Joint Conference on Artificial Intelligence (IJCAI), pp 2845-2851, February 2016. PDFview
266. S. Chowdhury, L. Kumar, T. Imam, M. Jabbar, V. Sapra, K. Aggarwal, A. Hindle, R. Greiner. "A system-call based model of software energy consumption without hardware instrumentation". INTERNATIONAL GREEN and SUSTAINABLE COMPUTING CONFERENCE, pp 1-6, December 2015. PDFview
267. O. Aslan, X. Zhang, D. Schuurmans. "Convex Deep Learning via Normalized Kernels". Neural Information Processing Systems (NIPS), (ed: Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger), pp 3275-3283, December 2015. PDFview
268. F. Mirzazadeh, S. Ravanbakhsh, N. Ding, D. Schuurmans. "Embedding Inference for Structured Multilabel Prediction". Neural Information Processing Systems (NIPS), (ed: C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, R. Garnett), pp 3555-3563, December 2015. PDFview
269. X. Li, Y. Guo, D. Schuurmans. "Semi-Supervised Zero-Shot Classification with Label Representation Learning". IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015. PDFview
270. M. Kim, Y. Xu, R. Goebel. "Applying a Convolutional Neural Network to Legal Question Answering". JSAI-isAI, Kanagawa, Japan, pp 282-294, November 2015. PDFview
271. J. Li, O. Zaiane. "Associative Classification with Statistically Significant Positive and Negative Rules". ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, October 2015. PDFview
272. H. Peng, L. Mou, G. Li, Y. Liu, Z. Jin, Y. Xu, L. Zhang. "Building Program Vector Representations for Deep Learning". International Conference on Knowledge Science, Engineering and Management, (ed: Songmao Zhang, Martin Wirsing, Zili Zhang ), pp 547-553, October 2015. view
273. K. Golmohammadi, O. Zaiane. "Time Series Contextual Anomaly Detection for Detecting Market Manipulation in Stock Market". International Conference of Data Science and Advanced Analytics (DSAA), Paris, France, October 2015. view
274. H. Peng, L. Mou, G. Li, Y. Chen, Y. Lu, Z. Jin. "A Comparative Study on Regularization Strategies for Embedding-based Neural Networks". EMNLP - Conference on Empirical Methods in Natural Language Processing, pp 2106–2111, September 2015. PDFview
275. L. Mou, H. Peng, G. Li, Y. Xu, L. Zhang, Z. Jin. "Discriminative Neural Sentence Modeling by Tree-Based Convolution". EMNLP - Conference on Empirical Methods in Natural Language Processing, pp 2315–2325, September 2015. PDFview
276. K. Abou-Moustafa, D. Schuurmans. "Generalization in Unsupervised Learning". European Conference on Machine Learning (ECML), (ed: Appice A., Rodrigues P., Santos Costa V., Soares C., Gama J., Jorge A.), pp 300-317, September 2015. PDFview
277. R. Rabbany, O. Zaiane. "Generalization of Clustering Agreements and Distances for Overlapping Clusters and Network Communities". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databa, Porto, Portugal, September 2015. view
278. O. Zaiane. "Rich Data: Risks, Issues, Controversies and Hype". International Symposium on Information Management and Big Data, Cusco, Peru, September 2015. PDFview
279. F. Mirzazadeh, M. White, A. György, D. Schuurmans. "Scalable metric learning for co-embedding". European Conference on Machine Learning (ECML), (ed: Appice A., Rodrigues P., Santos Costa V., Soares C., Gama J., Jorge A.), pp 625-642, September 2015. PDFview
280. C. Sherstan, J. Modayil, P. Pilarski. "A Collaborative Approach to the Simultaneous Multi-joint Control of a Prosthetic Arm". International Conference on Rehabilitation Robotics (ICORR), pp 13-18, August 2015. view
281. Y. Xu, C. Ringlstetter, M. Kim, G. Kondrak, R. Goebel, Y. Miyao. "A lexicalized tree kernel for open information extraction". Association for Computational Linguistics, Beijing, China, pp 279-284, July 2015. view
282. J. Sjobergh, X. Li, R. Goebel, Y. Tanaka. "A visualizationanalytics- interaction workflow framework for exploratory and explanatory search on geo-located search data using the Meme Media digital dashboard". Information Visualization, pp 300-309, July 2015. PDFview
283. H. Seijen, A. Mahmood, P. Pilarski, R. Sutton. "An empirical evaluation of True Online TD(lambda)". European Workshop on Reinforcement Learning (EWRL), July 2015. view
284. J. Wen, R. Greiner, D. Schuurmans. "Correcting Covariate Shift with Frank-Wolfe Algorithm". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Qiang Yang, Michael Wooldridge), pp 1010-1016, July 2015. view
285. O. Tammelin, N. Burch, M. Johanson, M. Bowling. "Solving Heads-Up Limit Texas Hold'em". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Qiang Yang, Michael J. Wooldridge), pp 645-652, July 2015. PDFview
286. N. Sturtevant, J. Traish, J. Tulip, T. Uras, S. Koenig, B. Strasser, A. Botea, D. Harabor, S. Rabin. "The Grid-Based Path Planning Competition: 2014 Entries and Results". Symposium on Combinatorial Search, (ed: Levi Lelis, Roni Stern), pp 241-251, July 2015. view
287. M. Guzdial, B. Harrison, B. Li, M. Riedl. "Crowdsourcing Open Interactive Narrative". International Conference on the Foundations of Digital Games, (ed: José Pablo Zagal, Esther MacCallum-Stewart, Julian Togelius), pp n/a, June 2015. view
288. N. Liao, M. Guzdial, M. Riedl. "Deep Convolutional Player Modeling on Log and Level Data". International Conference on the Foundations of Digital Games, (ed: José Pablo Zagal, Esther MacCallum-Stewart, Julian Togelius), June 2015. view
289. R. Wang, O. Zaiane. "Discovering Process in Curriculum Data to Provide Recommendation". International Conference on Educational Data Mining (EDM), Madrid, Spain, June 2015. view
290. F. Xie, M. Müller, R. Holte. "Understanding and Improving Local Exploration for GBFS". ICAPS, (ed: Ronen I. Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein), pp 244-248, June 2015. PDFview
291. A. Fyshe, L. Wehbe, P. Talukdar, B. Murphy, T. Mitchell. "A Compositional and Interpretable Semantic Space". NAACL Annual Conference of the North American Chapter of the Association for Computational Linguisti, pp 32–41, May 2015. PDFview
292. N. Bard, D. Nicholas, C. Szepesvari, M. Bowling. "Decision-theoretic clustering of strategies". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Gerhard Weiss, Pinar Yolum, Rafael H. Bordini, Edith Elkind), pp 17-25, May 2015. view
293. V. Lisy, M. Lanctot, M. Bowling. "Online Monte Carlo counterfactual regret minimization for search in imperfect information games". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Gerhard Weiss, Pinar Yolum, Rafael H. Bordini, Edith Elkind), pp 27-36, May 2015. view
294. J. Neufeld, D. Schuurmans, M. Bowling. "Variance Reduction via Antithetic Markov Chains". Artificial Intelligence and Statistics, (ed: Guy Lebanon, S. V. N. Vishwanathan), pp 708-716, May 2015. PDFview
295. J. Wright. "Behavioural Game Theory: Predictive Models and Mechanisms". Canadian Conference on Artificial Intelligence (CAI), (ed: Barbosa, Denilson, Milios, Evangelos), pp 356-359, April 2015. PDFview
296. J. Wright, C. Thornton, K. Leyton-Brown. "Mechanical TA: Partially Automated High-Stakes Peer Grading". ACM Technical Symposium on Computer Science Education (ACM-SIGCSE), Kansas City, USA, pp 96-101, March 2015. PDFview
297. P. Poupart, A. Malhotra, P. Pei, K. Kim, B. Goh, M. Bowling. "Approximate linear programming for constrained partially observable Markov decision processes". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 3342-3348, January 2015. PDFview
298. K. Aggarwal, T. Rutgers, F. Timbers, A. Hindle, R. Greiner, E. Stroulia. "Detecting Duplicate Bug Reports with Software Engineering Domain Knowledge". IEEE International Conference on Software Analysis, Evolution, and Reengineering, pp 211-220, January 2015. PDFview
299. S. Srinivasan, E. Talvitie, M. Bowling. "Improving Exploration in UCT Using Local Manifolds". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 3386-3392, January 2015. view
300. M. White, J. Wen, M. Bowling, D. Schuurmans. "Optimal Estimation of Multivariate ARMA Models". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 3080-3086, January 2015. PDFview
301. U. Das Gupta, E. Talvitie, M. Bowling. "Policy tree: Adaptive representation for policy gradient". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 2547-2553, January 2015. view
302. K. Waugh, D. Morrill, J. Bagnell, M. Bowling. "Solving games with functional regret estimation". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 2138-2145, January 2015. PDFview
303. Y. Zhang, M. Müller. "TDS+: Improving Temperature Discovery Search". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 1241-1247, January 2015. PDFview
304. S. Ravanbakhsh, R. Rabbany, R. Greiner. "Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning". Neural Information Processing Systems (NIPS), (ed: Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger), pp 289-297, December 2014. view
305. K. Deng, R. Greiner, S. Murphy. "Budgeted Learning For Developing Personalized Treatment". International Conference on Machine Learning and Applications (ICMLA), pp 7-14, December 2014. view
306. J. Fagnan, R. Rabbany, M. Takaffoli, E. Verbeek, O. Zaiane. "Community Dynamics: Event and Role Analysis in Social Network Analysis". International Conference on Advanced Data Mining and Applications, Guilin, China, pp 85-97, December 2014. PDFview
307. A. Trabelsi, O. Zaiane. "Mining Contentious Documents Using an Unsupervised Topic Model Based Approach". IEEE International Conference on Data Mining (ICDM), December 2014. PDFview
308. S. Khan, R. Greiner. "Budgeted Transcript Discovery: A Framework For Joint Exploration And Validation Studies". IEEE International Conference on Bioinformatics and Biomedicine , (ed: Huiru Jane Zheng, Werner Dubitzky, Xiaohua Hu, Jin-Kao Hao, Daniel P. Berrar, Kwang-Hyun Cho, Yadong Wang, David R. Gilbert), pp 188-191, November 2014. PDFview
309. B. Saha, A. Saini, N. Ray, R. Greiner, J. Hugh, M. Tambasco. "A Robust Convergence Index Filter for Breast Cancer Cell Segmentation". International Conference on Image Processing, pp 922-926, October 2014. view
310. K. Golmohammadi, O. Zaiane, D. Diaz. "Detecting Stock Market Manipulation using Supervised Learning Algorithms ". International Conference on Data Science and Advanced Analytics, Shanghai, China, October 2014. view
311. N. Sturtevant, J. Orkin, R. Zubek, M. Cook, S. Ware, C. Stith, R. Young, P. Wright, S. Eiserloh, A. Ramirez-Sanabria, V. Bulitko, K. Lord. "Playable Experiences at AIIDE 2014". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Ian Horswill, Arnav Jhala), pp 203-209, October 2014. view
312. T. Davis, N. Burch, M. Bowling. "Using response functions to measure strategy strength". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 630-636, October 2014. PDFview
313. F. Allen, A. Pon, M. Wilson, R. Greiner, D. Wishart. "CFM-ID: A Web Server for Annotation, Spectrum Prediction and Metabolite Identification from MS/MS". MetaboMeeting, London, England, September 2014. PDFview
314. J. Li, O. Zaiane, A. Osornio-Vargas. "Discovering Statistical Significant Co-location Rules in Datasets with Extended Spatial Objects". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Munich, Germany, September 2014. PDFview
315. C. Sherstan, P. Pilarski. "Multilayer General Value Functions for Robotic Prediction and Control". International Conference on Intelligent Robots and Systems, September 2014. PDFview
316. K. Chan, M. Dawson, A. Edwards, J. Hebert, R. Sutton, P. Pilarski. "Adaptive Switching in Practice: Improving Myoelectric Prosthesis Performance through Reinforcement Learning". Myoelectric Control Symposium, pp 66-70, August 2014. PDFview
317. M. Takaffoli, R. Rabbany, O. Zaiane. "Community Evolution Prediction in Dynamic Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014. PDFview
318. A. Koop, A. Kearney, M. Bowling, P. Pilarski. "Dealing with Changing Contexts in Myoelectric Control". Myoelectric Control Symposium, pp 113-116, August 2014. view
319. M. Dawson, C. Sherstan, J. Carey, J. Hebert, P. Pilarski. "Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research". Myoelectric Control Symposium, pp 57-61, August 2014. view
320. L. Lelis, R. Stern, N. Sturtevant. "Estimating Search Tree Size with Duplicate Detection". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 114-122, August 2014. PDFview
321. N. Sturtevant, A. Felner, M. Helmert. "Exploiting the Rubik's Cube 12-Edge PDB by Combining Partial Pattern Databases and Bloom Filters". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 175-183, August 2014. PDFview
322. K. Quinn, O. Zaiane. "Identifying Questions & Requests in Conversation". International C* Conference on Computer Science , Montreal, Canada, August 2014. PDFview
323. M. Lanctot, M. Winands, T. Pepels, N. Sturtevant. "Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups". Computational Intelligence in Games, August 2014. view
324. G. Fan, M. Müller, R. Holte. "Non-Linear Merging Strategies for Merge-and-Shrink Based on Variable Interactions". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták:), pp 53-61, August 2014. PDFview
325. W. Tong, R. Goebel, G. Lin. "On the smoothed heights of Trie and Patricia index trees". International Computing and Combinatorics Conference (COCOON), pp 94-103, August 2014. PDFview
326. N. Sturtevant, V. Bulitko. "Reaching the Goal in Real-Time Heuristic Search: Scrubbing Behavior is Unavoidable". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 166-174, August 2014. PDFview
327. A. Abnar, M. Takaffoli, R. Rabbany, O. Zaiane. "SSRM: Structural Social Role Mining for Dynamic Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014. PDFview
328. J. Fagnan, O. Zaiane, D. Barbosa. "Using Triads to Identify Local Community Structure in Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014. PDFview
329. F. Xie, M. Müller, R. Holte. "Adding local exploration to greedy best-first search for satisficing planning". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 2388-2394, July 2014. PDFview
330. F. Mirzazadeh, Y. Guo, D. Schuurmans. "Convex co-embedding". National Conference on Artificial Intelligence (AAAI), pp 1989-1996, July 2014. PDFview
331. G. Sharon, A. Felner, N. Sturtevant. "Exponential Deepening A* for Real-Time Agent-Centered Search". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 871-877, July 2014. PDFview
332. N. Burch, M. Johanson, M. Bowling. "Solving imperfect information games using decomposition". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 602-608, July 2014. PDFview
333. R. Goebel, W. Shi, Y. Tanaka. "The challenge of semantic symmetry in visualization". Information Visualization, pp 27-33, July 2014. view
334. X. Li, J. Sjobergh, R. Goebel. "Towards the identification of consumer trajectories in geo-located search data". Information Visualization, pp 202-210, July 2014. view
335. R. Valenzano, N. Sturtevant, J. Schaeffer. "Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 885-892, July 2014. PDFview
336. R. Valenzano, N. Sturtevant, J. Schaeffer, F. Xie. "A Comparison of Knowledge-Based GBFS Enhancements and Knowledge-Free Exploration". ICAPS, (ed: Steve A. Chien, Minh Binh Do, Alan Fern, Wheeler Ruml), pp 375-379, June 2014. PDFview
337. A. Trabelsi, O. Zaiane. "A Joint Topic Viewpoint Model for Contention Analysis". International Conference on Application of Natural Language to Information Systems, Montpellier, France, pp 114-125, June 2014. PDFview
338. J. Neufeld, A. Gyorgy, C. Szepesvari, D. Schuurmans. "Adaptive Monte Carlo via bandit allocation". International Conference on Machine Learning (ICML), (ed: Eric P. Xing, Tony Jebara), pp 1944-1952, June 2014. PDFview
339. E. Papalexakis, A. Fyshe, N. Sidiropoulos, P. Talukdar, T. Mitchell, C. Faloutsos. "Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments". ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), June 2014. view
340. A. Fyshe, P. Talukdar, B. Murphy, T. Mitchell. "Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning". Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, USA, pp 489–499, June 2014. PDFview
341. J. Wright, K. Leyton-Brown. "Level-0 Meta-Models for Predicting Human Behavior in Games". ACM Conference on Economics and Computation, Palo Alto, USA, (ed: Moshe Babaioff, Vincent Conitzer, David A. Easley), pp 857-873, June 2014. PDFview
342. S. Ravanbakhsh, R. Greiner, B. Frey, C. Srinivasa. "Min-Max Problems on Factor-Graphs". International Conference on Machine Learning (ICML), pp 1035-1043, June 2014. PDFview
343. J. Wen, C. Yu, R. Greiner. "Robust Learning Under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification". International Conference on Machine Learning (ICML), pp 631-639, June 2014. PDFview
344. F. Xie, M. Müller, R. Holte, T. Imai. "Type-based exploration for satisficing planning with multiple search queues". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 2395-2402, June 2014. view
345. N. Bard, M. Johanson, M. Bowling. "Asymmetric abstractions for adversarial settings". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Ana L. C. Bazzan, Michael N. Huhns, Alessio Lomuscio, Paul Scerri), pp 501-508, May 2014. view
346. M. Pourrajabi, D. Moulavi, R. Campello, A. Zimek, J. Sander, R. Goebel. "Model Selection for Semi-Supervised Clustering". International Conference on Extending Database Technology (EBDT), Athens, Greece, pp 331-342, March 2014. PDFview
347. G. Nicolai, M. Islam, R. Greiner. "Native Language Identification Using Probabilistic Graphical Models". International Conference on Electrical Information and Communication Technology , pp n/a, February 2014. PDFview
348. R. Goebel. "A sketch of a theory of visualization". International Conference on Visualization Theory and Applications, pp 218-221, January 2014. view
349. Ã. Aslan, H. Cheng, X. Zhang, D. Schuurmans. "Convex Two-Layer Modeling". Neural Information Processing Systems (NIPS), (ed: C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahraman, K. Q. Weinberger), pp 2985-2993, December 2013. PDFview
350. K. Abou-Moustafa, F. Ferrie, D. Schuurmans. "Divergence Based Graph Estimation for Manifold Learning". IEEE Global Conference on Signal and Information Processing, December 2013. PDFview
351. P. Cao, D. Zhao, O. Zaiane. "Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning". International Conference on Hybrid Intelligent Systems, Hammamet, Tunisia, pp 35-40, December 2013. PDFview
352. N. Zolghadr, G. Bartok, R. Greiner, C. Szepesvari, A. Gyorgy. "Online Learning with Costly Features and Labels". Neural Information Processing Systems (NIPS), (ed: Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger), pp 1241-1249, December 2013. PDFview
353. M. Kim, Y. Xu, O. Zaiane, R. Goebel. "Patient Information Extraction in Noisy Tele-health Texts". IEEE International Conference on Bioinformatics and Biomedicine , Shanghai, China, pp 323-326, December 2013. PDFview
354. X. Zhang, Y. Yu, D. Schuurmans. "Polar Operators for Structured Sparse Estimation". Neural Information Processing Systems (NIPS), (ed: C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, K. Q. Weinberger), pp 82-90, December 2013. PDFview
355. L. Wu, H. He, O. Zaiane. "Utility Enhancement for Privacy Preserving Health Data Publishing". International Conference on Advanced Data Mining and Applications, Hongzhou, China, pp 311-322, December 2013. PDFview
356. K. Abou-Moustafa, D. Schuurmans, F. Ferrie. "Learning a metric space for neighborhood topology estimation: Applications to manifold learning". Asian Conference on Machine Learning, (ed: Cheng Soon Ong, Tu Bao Ho), pp 341-356, November 2013. PDFview
357. K. Abou-Moustafa, D. Schuurmans, F. Ferrie. "Learning a metric space for neighbourhood topology estimation. Application to manifold learning". Asian Conference on Machine Learning, (ed: Cheng Soon Ong and Tu Bao Ho), pp 1-16, November 2013. PDFview
358. W. El-Rab, O. Zaiane, M. El-Hajj. "Analyzing the impact of UMLS relations on the Word Sense Disambiguation accuracy". International Conference on Current and Future Trends of Information and Communication Technologies , Niagara Falls, Canada,, October 2013. PDFview
359. M. Kim, Y. Xu, R. Goebel. "Answering Yes/No Questions in Legal Bar Exams". International Workshop on Jurisinformatics (JURISIN), pp 65-78, October 2013. view
360. N. Sturtevant. "Incorporating Human Relationships Into Path Planning". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Gita Sukthankar, Ian Horswill), pp 177-183, October 2013. PDFview
361. M. Stanescu, S. Hernandez, G. Erickson, R. Greiner, M. Buro. "Predicting army combat outcomes in StarCraft". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), pp 86-92, October 2013. PDFview
362. W. El-Rab, O. Zaiane, M. El-Hajj. "Unsupervised Graph-based Word Sense Disambiguation of Biomedical Documents". IEEE Healthcom, Lisbon, Portugal, October 2013. PDFview
363. Y. Guo, D. Schuurmans. "Multi-label Classification with Output Kernels". European Conference on Machine Learning (ECML), pp 417-432, September 2013. PDFview
364. A. Edwards, A. Kearney, M. Dawson, R. Sutton, P. Pilarski. "Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb". Multidisciplinary Conference on Reinforcement Learning and Decision Making, September 2013. view
365. P. Cao, B. Li, D. Zhao, O. Zaiane. "A novel cost sensitive neural network ensemble for multiclass imbalance data learning". IJCNN, August 2013. PDFview
366. W. El-Rab, O. Zaiane, M. El-Hajj. "Biomedical Text Disambiguation using UMLS". International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics, Niagara Falls, Canada, pp 943-947, August 2013. PDFview
367. H. Cheng, X. Zhang, D. Schuurmans. "Convex Relaxations of Bregman Divergence Clustering". Conference on Uncertainty in Artificial Intelligence (UAI), pp 162-171, August 2013. PDFview
368. A. Adilmagambetov, O. Zaiane, A. Osornio-Vargas. "Discovering Co-Location Patterns in Datasets with Extended Spatial Objects". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), (ed: Ladjel Bellatreche, Mukesh K. Mohania), pp 84-96, August 2013. PDFview
369. A. Fyshe, P. Talukdar, B. Murphy, T. Mitchell. "Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition". International Conference on Computational Natural Language Learning, Sofia, Bulgaria, pp 84–93, August 2013. PDFview
370. A. Adilmagambetov, O. Zaiane, A. Osornio-Vargas. "Incremental local community identification in dynamic social networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), pp 90-94, August 2013. PDFview
371. P. Cao, D. Zhao, O. Zaiane. "Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study". IJCNN, August 2013. PDFview
372. N. Sturtevant, M. Rutherford. "Minimizing Writes in Parallel External Memory Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Francesca Rossi), pp 666-673, August 2013. PDFview
373. R. Goebel. "Rethinking Big Data: The Role of Artificial Intelligence and Machine Learning". International Joint Conference on Artificial Intelligence (IJCAI), pp n/a, August 2013. view
374. A. White, J. Modayil, R. Sutton. "Scaling Life-long Off-policy Learning". Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epi, Osaka, Japan, August 2013. view
375. C. Rayner, N. Sturtevant, M. Bowling. "Subset Selection of Search Heuristics". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Francesca Rossi), pp 637-643, August 2013. PDFview
376. H. Nakhost, M. Müller. "Towards a Second Generation Random Walk Planner: an Experimental Exploration". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Francesca Rossi), pp 2336-2342, August 2013. PDFview
377. I. Diaz, P. Boulanger, R. Greiner, B. Hoehn, L. Rowe, A. Murtha. "An Automatic Brain Tumor Segmentation Tool". Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 3339-3342, July 2013. view
378. P. Mazrooei, C. Archibald, M. Bowling. "Automating collusion detection in sequential games". National Conference on Artificial Intelligence (AAAI), (ed: Marie desJardins, Michael L. Littman:), pp 675–682, July 2013. view
379. N. Sturtevant. "External Memory PDBs: Initial Results". Symposium on Abstraction, Reformulation and Approximation, (ed: Alan M. Frisch, Peter Gregory), pp 112-188, July 2013. PDFview
380. F. Aljalaud, N. Sturtevant. "Finding Bounded Suboptimal Multi-Agent Path Planning Solutions Using Increasing Cost Tree Search (Extended Abstract)". Symposium on Combinatorial Search, (ed: Malte Helmert, Gabriele Röger), pp 203-204, July 2013. PDFview
381. M. Ben Salah, I. Diaz, R. Greiner, P. Boulanger, B. Hoehn, A. Murtha. "Fully Automated Brain Tumor Segmentation Using Two MRI Modalities". International Symposium on Visual Computing, pp 30-39, July 2013. view
382. P. Cao, D. Zhao, O. Zaiane. "Measure oriented cost-sensitive SVM for 3D nodule detection". Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2013. PDFview
383. G. Sharon, N. Sturtevant, A. Felner. "Online Detection of Dead States in Real-Time Agent-Centered Search". Symposium on Combinatorial Search, (ed: Malte Helmert, Gabriele Röger), pp 167-174, July 2013. PDFview
384. M. Goldenberg, A. Felner, N. Sturtevant, R. Holte, J. Schaeffer. "Optimal-Generation Variants of EPEA". Symposium on Combinatorial Search, (ed: Malte Helmert, Gabriele Röger), pp 89-97, July 2013. PDFview
385. R. Goebel, W. Shi, Y. Tanaka. "The role of direct manipulation of visualizations in the development and use of multi-level knowledge models". Information Visualization, pp 325-332, July 2013. PDFview
386. A. Afkanpour, A. Gyorgy, C. Szepesvari, M. Bowling. "A randomized mirror descent algorithm for large scale multiple kernel learning". International Conference on Machine Learning (ICML), pp 374–382, June 2013. PDFview
387. W. Tong, R. Goebel, G. Lin. "Approximating the minimum independent dominating set in perturbed graphs". International Computing and Combinatorics Conference (COCOON), pp 257-267, June 2013. PDFview
388. M. Bellemare, J. Veness, M. Bowling. "Bayesian learning of recursively factored environments". International Conference on Machine Learning (ICML), pp 1211–1219, June 2013. PDFview
389. F. Xie, R. Valenzano, M. Müller. "Better Time Constrained Search via Randomization and Postprocessing". ICAPS, (ed: Daniel Borrajo, Subbarao Kambhampati, Angelo Oddi, Simone Fratini), pp 269-277, June 2013. PDFview
390. Y. Yu, H. Cheng, D. Schuurmans, C. Szepesvari. "Characterizing the representer theorem". International Conference on Machine Learning (ICML), (ed: Sanjoy Dasgupta, David McAllester), pp 570-578, June 2013. PDFview
391. P. Cao, D. Zhao, O. Zaiane. "Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection". IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, pp 173-178, June 2013. PDFview
392. P. Pilarski, L. Qi, M. Ferguson-Pell, S. Grange. "Determining the Time until Muscle Fatigue using Temporally Extended Prediction Learning". International Functional Electrical Stimulation Society Conference, pp 37–40, June 2013. PDFview
393. Y. Xu, R. Goebel, M. Kim, D. Barbosa. "Open information extraction with tree kernels". North American Association for Computational Linguistics Human Language Technologies Conference, Atlanta, United States, pp 868-877, June 2013. PDFview
394. P. Pilarski, T. Dick, R. Sutton. "Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints". International Conference on Rehabilitation Robotics (ICORR), June 2013. view
395. D. Silver, R. Sutton, M. Müller. "Temporal-Difference Search in Computer Go". ICAPS, (ed: Daniel Borrajo, Subbarao Kambhampati, Angelo Oddi, Simone Fratini), pp 486-487, June 2013. PDFview
396. R. Valenzano, S. Arfaee, J. Thayer, R. Stern, N. Sturtevant. "Using Alternative Suboptimality Bounds in Heuristic Search". ICAPS, (ed: Daniel Borrajo, Subbarao Kambhampati, Angelo Oddi, Simone Fratini), pp 233-241, June 2013. PDFview
397. L. Wu, H. He, O. Zaiane. "Utility of privacy preservation for health data publishing". IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, pp 510-511, June 2013. PDFview
398. D. Szafron, R. Gibson, N. Sturtevant. "A parameterized family of equilibrium profiles for three-player kuhn poker". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Maria L. Gini, Onn Shehory, Takayuki Ito, Catholijn M. Jonker), pp 247–254, May 2013. view
399. J. Davidson, C. Archibald, M. Bowling. "Baseline: Practical control variates for agent evaluation in zero-sum domains". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Maria L. Gini, Onn Shehory, Takayuki Ito, Catholijn M. Jonker), pp 1005-1012, May 2013. view
400. D. Gross, J. Zhang, I. Steenstra, S. Barnsley, C. Haws, T. Amell, G. McIntosh, J. Cooper, O. Zaiane. "Development of a computer-based decision-support tool using machine-learning strategies for selecting appropriate rehabilitation interventions". International Society for the Study of the Lumbar Spine, Scottsdale, United States, May 2013. view
401. M. Johanson, N. Burch, R. Valenzano, M. Bowling. "Evaluating state-space abstractions in extensive-form games". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Maria L. Gini, Onn Shehory, Takayuki Ito, Catholijn M. Jonker), pp 271-278, May 2013. view
402. M. Hajiloo. "Learning Disease Patterns from Novel High-Throughput Genomics Profiles: Why is it so Challenging?". Canadian Conference on Artificial Intelligence (CAI), pp 328-333, May 2013. view
403. Y. Hao, G. Li, L. Mou, L. Zhang, Z. Jin. "MCT: A tool for commenting programs by multimedia comments". International Conference on Software Engineering (ICSE), pp 1330–1442, May 2013. PDFview
404. N. Bard, M. Johanson, N. Burch, M. Bowling. "Online implicit agent modelling". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Maria L. Gini, Onn Shehory, Takayuki Ito, Catholijn M. Jonker), pp 255-262, May 2013. view
405. P. Cao, D. Zhao, O. Zaiane. "A PSO-based Cost-Sensitive Neural Network for Imbalanced Data Classification". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), April 2013. PDFview
406. P. Cao, D. Zhao, O. Zaiane. "An optimized cost-effective SVM for imbalanced data learning". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, (ed: Pei, J., Tseng, V.S., Cao, L., Motoda, H., Xu, G.), pp 280-292, April 2013. PDFview
407. J. Chen, O. Zaiane. "Text document topical recursive clustering and automatic labeling of a hierarchy of document clusters". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp 197-208, April 2013. PDFview
408. J. Veness, M. White, M. Bowling, A. Gyorgy. "Partition tree weighting". Data Compression Conference, (ed: Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagristà, James A. Storer), pp 321-330, March 2013. view
409. L. Mou, G. Li, Z. Jin. "Domain hyponymy hierarchy discovery by iterative Web searching and inferable semantics based concept selecting". Annual Computer Software and Applications Conference, January 2013. view
410. Y. Shi, X. Zhang, X. Liao, G. Lin, D. Schuurmans. "Protein-chemical interaction prediction via a kernelized sparse learning SVM". Pacific Symposium on Biocomputing, (ed: Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Tiffany Murray, Teri E. Klein), pp 41-52, January 2013. PDFview
411. M. White, Y. Yu, X. Zhang, D. Schuurmans. "Convex Multi-view Subspace Learning". NIPS Workshop on Machine Learning and Games, (ed: Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Leon Bottou, Kilian Q. Weinberger), pp 1682-1690, December 2012. PDFview
412. K. Abou-Moustafa, F. Ferrie. "A Note on Metric Properties of Some Divergence Measures. The Gaussian Case". Asian Conference on Machine Learning, (ed: Steven C.H. Hoi and Wray Buntine), pp 1-15, November 2012. PDFview
413. S. Johnson, O. Zaiane. "Intelligent feedback polarity and timing selection in the Shufti Intelligent Tutoring System". International Conference on Computers in Education, Singapore, November 2012. PDFview
414. J. Modayil, A. White, P. Pilarski, R. Sutton. "Acquiring a broad range of empirical knowledge in real time by temporal-difference learning". International Conference on Systems, Man, and Cybernetics (SMC), Seoul, South Korea, pp 1903-1910, October 2012. PDFview
415. M. Hajiloo, B. Damavandi, M. Hooshsadat, F. Sangi, J. Mackey, C. Cass, R. Greiner, S. Damaraju. "Breast Cancer Prediction Using Genome Wide Single Nucleotide Polymorphism Data". Biotechnology and Bioinformatics Symposium, pp n/a, October 2012. PDFview
416. D. Gross, J. Zhang, I. Steenstra, J. Cooper, S. Barnsley, C. Haws, G. McIntosh, T. Amell, O. Zaiane. "Development of a computer-based decision-support tool using machine-learning strategies for selecting appropriate rehabilitation interventions". Odense International Forum XII Primary Care Research on Back Pain, Odense, Denmark, October 2012. view
417. C. Thapa, O. Zaiane, D. Rafiei, A. Sharma. "Classifying Websites into Non-topical Categories". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Vienna, Austria, (ed: Alfredo Cuzzocrea, Umeshwar Dayal), pp 364-377, September 2012. PDFview
418. K. Golmohammadi, O. Zaiane. "Data Mining Applications for Fraud Detection in Securities Market". European Intelligence and Security Informatics Conference, Odense, Denmark, pp 107-114, August 2012. PDFview
419. M. Hooshsadat, S. Bayat, P. Naeimi, M. Mirian, O. Zaiane. "Finding Sequential Patterns in Probabilistic Data". International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making, Istanbul, Turkey, pp 907-912, August 2012. PDFview
420. J. Modayil, A. White, R. Sutton. "Multi-timescale Nexting in a Reinforcement Learning Robot". International Conference on Simulation of Adaptive Behavior (SAB), Odense, Denmark, (ed: Ziemke T., Balkenius C., Hallam J.), pp 299-309, August 2012. PDFview
421. R. Rabbany, M. Takaffoli, J. Fagnan, O. Zaiane, R. Campello. "Relative Validity Criteria for Community Mining Algorithms". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, pp 258-265, August 2012. view
422. S. Ravanbakhsh, C. Yu, R. Greiner. "A Generalized Loop Correction Method for Approximate Inference in Graphical Models". International Conference on Machine Learning (ICML), (ed: John Langford, Joelle Pineau), pp 543-550, July 2012. PDFview
423. J. Fagnan, O. Zaiane, R. Goebel. "Visualizing Community Centric Network Layouts". Information Visualization, July 2012. view
424. J. Wright, K. Leyton-Brown. "Behavioral game theoretic models: a Bayesian framework for parameter analysis.". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 921-930, June 2012. PDFview
425. S. Johnson, O. Zaiane. "Deciding on Feedback Polarity and Timing". International Conference on Educational Data Mining (EDM), pp 220-221, June 2012. view
426. T. Degris, M. White, R. Sutton. "Linear Off-Policy Actor-Critic". International Conference on Machine Learning (ICML), pp n/a, June 2012. view
427. X. Liu, P. Miller, U. Basu, N. Asgarian, R. Greiner, L. McMullen. "Using machine learning algorithms to detect cellular stress of Listeria monocytogenes from cDNA microarray data". RiboWest, pp n/a, June 2012. view
428. M. Hooshsadat, O. Zaiane. "An Associative Classifier for Uncertain Datasets". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp 342-353, May 2012. PDFview
429. M. White, D. Schuurmans. "Generalized Optimal Reverse Prediction". Artificial Intelligence and Statistics, (ed: Neil D. Lawrence, Mark A. Girolami), pp 1305-1313, April 2012. PDFview
430. H. Samuel, O. Zaiane, J. Zaiane. "Findability in Health Information Websites". International Conference on Biomedical and Health Informatics, Shenzen, China, pp 709-712, January 2012. PDFview
431. H. Samuel, O. Zaiane. "PSST... Privacy, Safety, Security, and Trust in Health Information Websites". International Conference on Biomedical and Health Informatics, pp 584-587, January 2012. PDFview
432. C. Yu, R. Greiner, H. Lin, V. Baracos. "Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors". Neural Information Processing Systems (NIPS), December 2011. PDFview
433. I. Diaz, P. Boulanger, R. Greiner, A. Murtha. "A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation". IEEE Engineering in Medicine and Biology Society Conference, September 2011. view
434. R. Rabbany, E. Stroulia, O. Zaiane. "Web Service Matching for RESTful Web Services". International Symposium on Web Systems Evolution, Williamsburg, United States, (ed: Holger M. Kienle, Davide Bolchini, Porfirio Tramontana), pp 115-124, September 2011. PDFview
435. K. Golmohammadi, M. Smit, O. Zaiane. "Learning Actions in Complex Software Systems". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Toulouse, France, (ed: Alfredo Cuzzocrea, Umeshwar Dayal), pp 367-381, August 2011. view
436. C. Wang, L. Yuan, J. You, O. Zaiane, J. Pei. "On Pruning for Top-K Ranking in Uncertain Databases". International Conference on Very Large Data Bases, Seattle, United States, (ed: Rajesh Bordawekar, Christian A. Lang), pp 598-609, August 2011. view
437. Y. Liu, Z. Guo, X. Ke, O. Zaiane. "Protein Subcellular Localization Prediction with Associative Classification and Multi-class SVM". ACM Conference on Bioinformatics, Computational Biology and Biomedicine, Chicago, United States, pp 493-495, August 2011. PDFview
438. R. Rabbany, M. Takaffoli, O. Zaiane. "Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques". International Conference on Educational Data Mining (EDM), (ed: Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper), pp 21-30, July 2011. PDFview
439. M. Takaffoli, F. Sangi, J. Fagnan, O. Zaiane. "MODEC - Modeling and Detecting Evolutions of Communities". International AAAI Conference on Weblogs and Social Media, Barcelona, Spain, pp 626-629, July 2011. view
440. M. Hooshsadat, H. Samuel, S. Patel, O. Zaiane. "Fastest Association Rule Mining Algorithm Predictor - FARM-AP". International C* Conference on Computer Science , Montreal, Canada, pp 43-50, May 2011. PDFview
441. X. Su, R. Greiner, T. Khoshgoftaar, A. Napolitano. "Using Classifier-Based Nominal Imputation to Improve Machine Learning". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, May 2011. PDFview
442. X. Shi, D. Zeng, B. Hu, G. Lin, O. Zaiane. "Accelerating FPGA Design Space Exploration Using Circuit Similarity-Based Placement". International Conference on Field-Programmable Technology, Beijing, China, (ed: Jinian Bian, Qiang Zhou, Peter Athanas, Yajun Ha, Kang Zhao), pp 373-376, December 2010. PDFview
443. J. Chen, J. Fagnan, R. Goebel, R. Rabbany, F. Sangi, M. Takaffoli, E. Verbeek, O. Zaiane. "Meerkat: Community Mining with Dynamic Social Networks". IEEE International Conference on Data Mining (ICDM), pp 1377-1380, December 2010. PDFview
444. H. Samuel, O. Zaiane, D. Sobsey. "Towards a Definition of Health Informatics Ethics". ACM International Health Informatics Symposium, Arlington, United States, pp 257-264, November 2010. PDFview
445. D. Moulavi, M. Hajiloo, J. Sander, P. Halloran, R. Greiner. "Combining Gene Expression and Interaction Network Data to Improve Kidney Lesion Score Prediction". Biotechnology and Bioinformatics Symposium, October 2010. PDFview
446. A. Shademan, M. Jagersand. "Three-View Uncalibrated Visual Servoing". International Conference on Intelligent Robots and Systems, pp 6234-6239, October 2010. PDFview
447. M. Takaffoli, F. Sangi, J. Fagnan, O. Zaiane. "A Framework for Analyzing Dynamic Social Networks". Conference on Applications of Social Network Analysis, Zurich, Switzerland, pp 122-123, September 2010. PDFview
448. O. Zaiane, K. Deng. "An Occurrence Based Approach to Mine Emerging Sequences". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), pp 275-284, September 2010. PDFview
449. M. Kim, Q. Dou, O. Zaiane, R. Goebel. "Unsupervised Mapping of Sentences to Biomedical Concepts based on Integrated Information Retrieval Model and Clustering". ACM Conference on Bioinformatics, Computational Biology and Biomedicine, Niagara Falls, USA, pp 322-329, August 2010. PDFview
450. S. Ravanbakhsh, B. Poczos, R. Greiner. "A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra". National Conference on Artificial Intelligence (AAAI), July 2010. view
451. L. Li, B. Poczos, C. Szepesvari, R. Greiner. "Budgeted Distribution Learning of Belief Net Parameters". International Conference on Machine Learning (ICML), June 2010. PDFview
452. M. El-Hajj, W. El-Rab, O. Zaiane, J. Gnarpe, R. Hayward. "Impact of Online Educational Games on the Education of Medical Students". Canadian eLearning Conference, Edmonton, Canada, June 2010. view
453. A. Shademan, A. Farahmand, M. Jagersand. "Robust Jacobian Estimation for Uncalibrated Visual Servoing". IEEE International Conference on Robotics and Automation (ICRA), pp 5564-5569, May 2010. PDFview
454. L. Li, B. Poczos, C. Szepesvari, R. Greiner. "Budgeted Distribution Learning in Parametric Models". International Conference on Machine Learning (ICML), April 2010. view
455. O. Schulte, G. Frigo, H. Khosravi, R. Greiner. "The IMAP Hybrid Method for Learning Gaussian Bayes Nets". Canadian Conference on Artificial Intelligence (CAI), April 2010. PDFview
456. M. Jalali-Heravi, O. Zaiane. "A Study on Interestingness Measures for Associative Classifiers". ACM-SAC Conference Track on Data Mining, Sierre, Switzerland, pp 1040-1047, March 2010. PDFview
457. X. Shi, D. Zeng, Y. Hu, G. Lin, O. Zaiane. "Enhancement of Incremental Design for FPGAs Using Circuit Similarity". International Symposium on Quality Electronic Design, Santa Clara, United States, pp 243-250, March 2010. PDFview
458. K. Popuri, D. Cobzas, M. Jagersand. "Fast FEM-based Non-rigid Registration". Canadian Conference on Computer and Robot Vision, Ottawa, Canada, March 2010. PDFview
459. D. Cheng, J. Sheldon, M. Marcet-Palacios, O. Zaiane. "PROM-OOGLE - Data Mining and Integration of On-line Databases to Discover Gene Promoters". Conference Track on Bioinformatics and Computational Systems Biology (BIO), Sierre, Switzerland, pp 1547-1551, March 2010. PDFview
460. Y. Yu, Y. Li, C. Szepesvari, D. Schuurmans. "A general projection property for distribution families". Neural Information Processing Systems (NIPS), December 2009. view
461. N. Quadrianto, T. Caetano, J. Lim, D. Schuurmans. "Convex relaxation of mixture regression with efficient algorithms". Neural Information Processing Systems (NIPS), December 2009. view
462. K. Waugh, N. Bard, M. Bowling. "Strategy Grafting in Extensive Games". Neural Information Processing Systems (NIPS), (ed: Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta), pp 2026--2034, December 2009. PDFview
463. A. Foss, O. Zaiane, S. Zilles. "Unsupervised Class Separation of Multivariate Data through Cumulative Variance-based Ranking". IEEE International Conference on Data Mining (ICDM), Miami, USA, pp 139-148, December 2009. PDFview
464. Y. Guo, D. Schuurmans. "A reformulation of support vector machines for general confidence functions". Asian Conference on Machine Learning, November 2009. view
465. K. Deng, O. Zaiane. "Contrasting Sequence Groups by Emerging Sequences". Discovery Science, Porto, Portugal, pp 377-384, October 2009. PDFview
466. R. Zhao, D. Szafron. "Learning Character Behaviors using Agent Modeling in Games". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), pp 179-185, October 2009. PDFview
467. K. Waugh, D. Schnizlein, M. Bowling, D. Szafron. "Abstraction Pathologies in Extensive Games". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), September 2009. PDFview
468. R. Eisner, J. Xia, D. Hau, T. Eastman, C. Stretch, S. Damaraju, R. Greiner, D. Wishart, V. Baracos. "Prediction of Cancer-Associated Skeletal Muscle Wasting Using Targeted Profiling of Urinary Metabolites". Metabolomics Society Meeting, August 2009. PDFview
469. J. Chen, O. Zaiane, R. Goebel. "A Visual Data Mining Approach to Find Overlapping Communities in Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Athens, Greece, (ed: Nasrullah Memon, Reda Alhajj), pp 338-343, July 2009. PDFview
470. M. White, M. Bowling. "Learning a Value Analysis Tool for Agent Evaluation". International Joint Conference on Artificial Intelligence (IJCAI), pp 1976-1981, July 2009. PDFview
471. J. Chen, O. Zaiane, R. Goebel. "Local Community Identification in Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Athens, Greece, (ed: Nasrullah Memon, Reda Alhajj), pp 237-242, July 2009. PDFview
472. D. Schnizlein, M. Bowling, D. Szafron. "Probabilistic State Translation in Extensive Games with Large Action Sets". International Joint Conference on Artificial Intelligence (IJCAI), pp 278-284, July 2009. PDFview
473. A. Kerhet, C. Small, T. Riauka, R. Greiner, A. McEwan, W. Roa. "Segmentation of Lung Tumours in Positron Emission Tomography Scans: a Machine Learning Approach". Artificial Intelligence in Medicine, July 2009. PDFview
474. A. Farhangfar, R. Greiner, C. Szepesvari. " Learning to Segment from a Few Well-Selected Training Images". International Conference on Machine Learning (ICML), June 2009. PDFview
475. L. Xu, M. White, D. Schuurmans. " Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning". International Conference on Machine Learning (ICML), June 2009. view
476. J. Chen, O. Zaiane, R. Goebel. "Detecting Communities in Large Networks by Iterative Local Expansion". (ed: Ajith Abraham, Václav Snásel, Katarzyna Wegrzyn-Wolska), pp 105-112, June 2009. PDFview
477. L. Xu, W. Li, D. Schuurmans. "Fast normalized cut with linear constraints". Computer Vision and Pattern Recognition (CVPR), June 2009. view
478. P. Hooper, Y. Abbasi-Yadkori, R. Greiner, B. Hoehn. "Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling". Conference on Uncertainty in Artificial Intelligence (UAI), June 2009. PDFview
479. B. Poczos, Y. Abbasi-Yadkori, C. Szepesvari, R. Greiner, N. Sturtevant. "Learning when to stop thinking and do something!". International Conference on Machine Learning (ICML), June 2009. PDFview
480. Y. Shi, Z. Cai, G. Lin, D. Schuurmans. "Linear-coherent bi-cluster discovery via line detection and sample majority voting". International Conference on Combinatorial Optimization and Applications, June 2009. view
481. A. Farahmand, A. Shademan, M. Jagersand, C. Szepesvari. "Model-based and model-free reinforcement learning for visual servoing". IEEE International Conference on Robotics and Automation (ICRA), pp 2917-2924, May 2009. PDFview
482. X. Su, T. Khoshgoftaar, R. Greiner. "VipBoost: a More Accurate Boosting Algorithm". Florida AI Research Symposium, pp 356-360, May 2009. PDFview
483. M. Johanson, M. Bowling. "Data Biased Robust Counter Strategies". Artificial Intelligence and Statistics, (ed: David van Dyk and Max Welling), pp 264-271, April 2009. PDFview
484. J. Chen, O. Zaiane, R. Goebel. "Detecting Communities in Social Networks Using Max-Min Modularity". SIAM International Conference on Data Mining, Sparks, USA, pp 978-989, April 2009. PDFview
485. M. Yang, Y. Li, D. Schuurmans. "Dual temporal difference learning". Artificial Intelligence and Statistics, April 2009. view
486. Y. Li, C. Szepesvari, D. Schuurmans. "Learning exercise policies for American options". Artificial Intelligence and Statistics, April 2009. view
487. P. Berube, J. Amaral. "Workload Reduction for Multi-Input Profile-Directed Optimization". International Symposium on Code Generation and Optimization, February 2009. PDFview
488. O. Schulte, G. Frigo, R. Greiner, H. Khosravi. "A New Hybrid Method for Bayesian Network Learning ". Symposium on Computational Intelligence and Data Mining, pp 53--60, January 2009. PDFview
489. J. Chen, O. Zaiane, R. Goebel. "An Unsupervised Approach to Cluster Web Search Results based on Word Sense Communities". IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, pp 725-729, December 2008. PDFview
490. J. Lees-Miller, F. Anderson, B. Hoehn, R. Greiner. "Does Wikipedia Information Help Netflix Predictions?". International Conference on Machine Learning and Applications (ICMLA), December 2008. PDFview
491. X. Su, T. Khoshgoftaar, R. Greiner. "Imputed Neighborhood Based Collaborative Filtering". IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, pp 633-639, December 2008. PDFview
492. X. Su, T. Khoshgoftaar, R. Greiner. "Using Imputation Techniques to Help Learn Accurate Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 437-444, November 2008. PDFview
493. A. Isaza, J. Lu, V. Bulitko, R. Greiner. "A Cover-Based Approach to Multi-Agent Moving Target Pursuit". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), October 2008. PDFview
494. Y. Guo, D. Schuurmans. "Efficient global optimization for exponential family PCA and low-rank matrix factorization". Allerton Conference on Communication, Control, and Computing, September 2008. view
495. C. Lee, S. Wang, M. Brown, A. Murtha, R. Greiner. "Segmenting Brain Tumors using Pseudo-Conditional Random Fields". Medical Image Computing and Computer-Assisted Intervention, pp 359-366, September 2008. PDFview
496. I. Levner, R. Greiner, H. Zhang. "Supervised Image segmentation via Ground Truth Decomposition". 2008 IEEE International Conference on Image Processing, September 2008. PDFview
497. D. Chodos, O. Zaiane. "ARC-UI: A Visualization Tool for Associative Classifiers". Information Visualization, London, England, July 2008. view
498. D. Chodos, O. Zaiane. "ARC-UI: A Visualization Tool for Associative Classifiers". Information Visualization, London, England, pp 296-301, July 2008. PDFview
499. C. Lee, M. Brown, S. Wang, A. Murtha, R. Greiner. "Constrained Classification on Structured Data". National Conference on Artificial Intelligence (AAAI), July 2008. PDFview
500. S. Kirshner, B. Poczos. "ICA and ISA Using Schweizer-Wolff Measure of Dependence". International Conference on Machine Learning (ICML), July 2008. PDFview
501. A. Isaza, C. Szepesvari, R. Greiner, V. Bulitko. "Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions". Conference on Uncertainty in Artificial Intelligence (UAI), pp 306--314, July 2008. PDFview
502. M. Bowling, M. Johanson, N. Burch, D. Szafron. "Strategy Evaluation in Extensive Games with Importance Sampling". International Conference on Machine Learning (ICML), (ed: Andrew McCallum and Sam Roweis), pp 72--79, July 2008. PDFview
503. Q. Wang, D. Lin, D. Schuurmans. "Semi-supervised convex training for dependency parsing". International Conference on Computational Linguistics and the Association for Computational Linguist, June 2008. view
504. X. Su, T. Khoshgoftaar, R. Greiner. "A Mixture Imputation-Boosted Collaborative Filter". Florida AI Research Symposium, pp 312--317, May 2008. PDFview
505. J. Neufeld, M. Bowling, J. Roberts, S. Walsh, A. Milstein, M. Sokolsky. "Autonomous Geocaching: Navigation and Goal Finding in Outdoor Domains". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2008. view
506. X. Su, T. Khoshgoftaar, X. Zhu, R. Greiner. "Imputation-Boosted Collaborative Filtering Using Machine Learning Classifiers". ACM Symposium on Applied Computing, pp 949-950, March 2008. PDFview
507. C. Ringlstetter, U. Reffle, A. Gotscharek, K. Schulz. "Deriving Symbol Dependent Edit Weights for Text Correction - the Use of Error Dictionaries". International Conference on Document Analysis and Recognition (ICDAR), February 2008. view
508. I. Forsythe, D. Wishart, L. Li, R. Greiner, B. Sykes, F. Bamforth, D. Clive, H. Vogel. "Metabolomics - Revolutionizing Healthcare, Agriculture, Nutrition and Food Production in the 21st Century". Canadian Proteome Society Regional Meeting - Omics and Systems Biology, February 2008. view
509. J. Enright, B. Chu, O. Zaiane. "Intelligent Functional Dependency Tutoring Tool". International Conference on Computers in Education, Taipei, Taiwan, January 2008. PDFview
510. M. Bowling, A. Geramifard, D. Wingate. "Sigma Point Policy Iteration". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), January 2008. view
511. M. Johanson, M. Zinkevich, M. Bowling. "Computing Robust Counter-Strategies". Neural Information Processing Systems (NIPS), (ed: J.C. Platt, D. Koller, Y. Singer, S. Roweis), pp 721--728, December 2007. PDFview
512. M. El-Hajj, J. Chen, O. Zaiane, R. Goebel. "Constraint-Based Mining of Web Page Associations". Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, pp 315-326, December 2007. view
513. M. El-Hajj, J. Chen, O. Zaiane, R. Goebel. "Constraint-Based Mining of Web Page Associations". Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, (ed: Orgun, Mehmet A., Thornton, John), pp 315-326, December 2007. view
514. Y. Guo, D. Schuurmans. "Convex relaxations of latent variable training". Neural Information Processing Systems (NIPS), December 2007. view
515. Y. Guo, D. Schuurmans. "Discriminative batch mode active learning". Neural Information Processing Systems (NIPS), December 2007. view
516. A. Stubbe, C. Ringlstetter, R. Goebel. "Elements of a Learning Interface for Genre Qualified Search". Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, pp 791-797, December 2007. view
517. S. Bhatnagar, R. Sutton, M. Ghavamzadeh, M. Lee. "Incremental Natural Actor-Critic Algorithms". Neural Information Processing Systems (NIPS), December 2007. view
518. S. Kirshner. "Learning with tree-averaged densities and distributions". Neural Information Processing Systems (NIPS), December 2007. view
519. M. Zinkevich, M. Johanson, M. Bowling, C. Piccione. "Regret Minimization in Games with Incomplete Information". Neural Information Processing Systems (NIPS), (ed: J.C. Platt, D. Koller, Y. Singer, S. Roweis), pp 1729--1736, December 2007. PDFview
520. T. Wang, D. Lizotte, M. Bowling, D. Schuurmans. "Stable dual dynamic programming". Neural Information Processing Systems (NIPS), December 2007. view
521. M. Bowling. "State of the Art in Computer Poker". NIPS Workshop on Machine Learning and Games, December 2007. view
522. S. Mihov, P. Mitankin, A. Gotscharek, U. Reffle, K. Schulz, C. Ringlstetter. "Using Automated Error Profiling of Texts for Improved Selection of Correction Candidates for Garbled Tokens". Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2007. view
523. A. Farhangfar, R. Greiner, M. Zinkevich. "A Fast Way to Produce Optimal Fixed-Depth Decision Trees". International Symposium on Artificial Intelligence and Mathematics, November 2007. PDFview
524. X. Su, R. Greiner, T. Khoshgoftaar, X. Zhu. "Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts". IEEE/WIC/ACM International Conference on Web Intelligence, pp 645-649, November 2007. PDFview
525. A. Farahmand, A. Shademan, M. Jagersand. "Global Visual-Motor Estimation for Uncalibrated Visual Servoing". International Conference on Intelligent Robots and Systems, October 2007. PDFview
526. J. Audibert, R. Munos, C. Szepesvari. "Tuning bandit algorithms in stochastic environments". Algorithmic Learning Theory (ALT), October 2007. PDFview
527. A. Satsangi, O. Zaiane. "Contrasting the Contrast Sets: An Alternative Approach". International Database Engineering and Applications Symposium, Banff, Canada, pp 114-119, September 2007. PDFview
528. V. Bulitko, Y. Bjornsson, M. Lustrek, J. Schaeffer, S. Sigmunudarson. "Dynamic Control in Path-Planning with Real-Time Heuristic Search". ICAPS, September 2007. view
529. A. Srivastava, O. Zaiane, M. Antonie. "Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification". International Database Engineering and Applications Symposium, Banff, Canada, pp 141-148, September 2007. PDFview
530. S. Gelly, D. Silver. "Combining Online and Offline Knowledge in UCT". International Conference on Machine Learning (ICML), August 2007. view
531. D. Wishart, R. Greiner. "Computational Approaches to Metabolomics: An Introduction". Pacific Symposium on Biocomputing, August 2007. PDFview
532. B. Tanner, V. Bulitko, A. Koop, C. Paduraru. "Grounding Abstraction in Predictive State Representations". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, August 2007. view
533. A. Ghodsi, F. Southey, D. Wilkinson. "Improving Embeddings by Flexible Exploitation of Side Information". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, August 2007. view
534. F. Southey, W. Loh, D. Wilkinson. "Inferring Complex Agent Motions from Partial Trajectory Observations". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, August 2007. view
535. D. Silver, R. Sutton, M. Mueller. "Reinforcement Learning of Local Shape in the Game of Go". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, August 2007. view
536. Z. Cai, R. Goebel, M. Salavatipour, Y. Shi, L. Xu, G. Lin. "Selecting Genes with Dissimilar Discrimination Strength for Sample Class Prediction". Asia-Pacific Bioinformatics Conference, pp 81-90, August 2007. view
537. N. Ratliff, J. Bagnell, M. Zinkevich. "Subgradient Methods for Structured Prediction". Artificial Intelligence and Statistics, August 2007. view
538. F. Yang, J. Culberson, R. Holte. "Using Infeasibility to Improve Abstraction-Based Heuristics (extended abstract)". Symposium on Abstraction, Reformulation and Approximation, (ed: I.Miguel and W.Ruml), pp 413-414, August 2007. view
539. J. Chen, T. Zheng, W. Thorne, D. Huntley, O. Zaiane, R. Goebel. "Visualizing web navigation data with polygon graphs". Information Visualization, Zurich, Switzerland, August 2007. view
540. G. Neu, C. Szepesvari. " Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods". Conference on Uncertainty in Artificial Intelligence (UAI), pp 295-302, July 2007. PDFview
541. M. Zinkevich, M. Bowling, N. Burch. "A New Algorithm for Generating Equilibria in Massive Zero-Sum Games". National Conference on Artificial Intelligence (AAAI), July 2007. view
542. J. Chen, T. Zheng, W. Thorne, O. Zaiane, R. Goebel. "Visual data mining of web navigational data". Information Visualization, Zurich, Switzerland, July 2007. view
543. J. Chen, T. Zheng, W. Thorne, O. Zaiane, R. Goebel. "Visual Data Mining of Web Navigational Data ". Information Visualization, Zurich, Switzerland, pp 649-656, July 2007. PDFview
544. J. Chen, T. Zheng, W. Thorne, D. Huntley, O. Zaiane, R. Goebel. "Visualizing Web Navigation Data with Polygon Graphs ". Information Visualization, Zurich, Switzerland, pp 232-237, July 2007. PDFview
545. M. Kubat, R. Holte, S. Matwin. " Learning When Negative Examples Abound". European Conference on Machine Learning (ECML), pp 146-153, June 2007. PSview
546. M. Ghavamzadeh, Y. Engel. " Bayesian Actor-Critic Algorithms". International Conference on Machine Learning (ICML), pp 297-304, June 2007. PDFview
547. R. Eisner, C. Knox, D. Cheng, A. Guo, R. Greiner, D. Wishart. "Automated Metabolite Annotation in the HMP". June 2007. view
548. S. Kirshner, P. Smyth. "Infinite Mixtures of Trees". International Conference on Machine Learning (ICML), June 2007. PDFview
549. O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure". Conference on Learning Theory (COLT), San Diego, CA, June 2007. PDFview
550. S. Khan, S. Nagaraj, C. Schlegel, M. Burnashev. "Performance of a Correlation-Based Detector for Packet Wireless Networks". Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on, June 2007. view
551. M. Cutimisu, D. Szafron, J. Schaeffer, K. Waugh, C. Onuczko, J. Siegel, A. Schumacher. "A Demonstration of ScriptEase Interruptible and Resumable Behaviors for CRPGs". National Conference on Artificial Intelligence (AAAI), April 2007. view
552. U. Zahavi, A. Felner, J. Schaeffer, N. Sturtevant. "Inconsistent Heuristics". National Conference on Artificial Intelligence (AAAI), pp 1121-1216, April 2007. view
553. Q. Wang. "Learning Stuctured Classifiers for Statistical Dependency Parsing". International Conference on Computational Linguistics and the Association for Computational Linguist, April 2007. view
554. R. Sutton, A. Koop, D. Silver. "On the Role of Tracking in Stationary Environments". International Conference on Machine Learning (ICML), April 2007. view
555. N. Bard, M. Bowling. "Particle Filtering for Dynamic Agent Modelling in Simplified Poker". National Conference on Artificial Intelligence (AAAI), April 2007. PDFview
556. A. Antos, C. Szepesvari, R. Munos. "Value-Iteration Based Fitted Policy Iteration: Learning with a Single Trajectory". Symposium on Approximate Dynamic Programming and Reinforcement Learning, pp 330-337, April 2007. view
557. T. Wang, M. Bowling, D. Schuurmans. "Dual Representations for Dynamic Programming and Reinforcement Learning". Symposium on Approximate Dynamic Programming and Reinforcement Learning, pp 44-51, March 2007. PDFview
558. Y. Li, J. Harms, R. Holte. "Fast Exact MultiConstraint Shortest Path Algorithms". ICC, March 2007. PDFview
559. A. Botea, M. Mueller, J. Schaeffer. "Fast Planning with Iterative Macros". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, March 2007. PDFview
560. A. Geramifard, M. Bowling, M. Zinkevich, R. Sutton. "iLSTD: Eligibility Traces and Convergence Analysis". Neural Information Processing Systems (NIPS), pp To appear (8 pages), March 2007. PDFview
561. P. Auer, R. Ortner, C. Szepesvari. "Improved Rates for the Stochastic Continuum-Armed Bandit Problem". Conference on Learning Theory (COLT), San Diego, CA, March 2007. PDFview
562. A. Farahmand, J. Audibert, C. Szepesvari. "Manifold-Adaptive Dimension Estimation". International Conference on Machine Learning (ICML), March 2007. PDFview
563. I. Biro, Z. Szamonek, C. Szepesvari. "Sequence prediction exploiting similarity information". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, March 2007. PDFview
564. Q. Wang, D. Lin, D. Schuurmans. "Simple training of dependency parsers via structured boosting". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, March 2007. PDFview
565. Y. Li, J. Harms, R. Holte, B. Bai. "Stable and Robust Multipath Oblivious Routing for Traffic Engineering". International TeleTraffic Congress (ITC), March 2007. PDFview
566. D. Lizotte, T. Wang, M. Bowling, D. Schuurmans. "Automatic Gait Optimization with Gaussian Process Regression". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. view
567. A. Gyorgy, L. Kocsis, I. Szabo, C. Szepesvari. "Continuous Time Associative Bandit Problems". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. PDFview
568. K. Dwyer, R. Holte. "Decision Tree Instability and Active Learning". European Conference on Machine Learning (ECML), January 2007. view
569. A. Nayak, R. Goebel, M. Orgun. "Iterated Belief Contraction from First Principles". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. PDFview
570. Y. Guo, R. Greiner. "Optimistic Active Learning using Mutual Information". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. PDFview
571. K. Anderson, R. Holte, J. Schaeffer. "Partial Pattern Databases". Symposium on Abstraction, Reformulation and Approximation, (ed: I.Miguel and W.Ruml), pp 20-34, January 2007. view
572. C. Rayner, K. Davison, V. Bulitko, K. Anderson, J. Lu. "Real-Time Heuristic Search with a Priority Queue". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, pp 2372 - 2377, January 2007. PDFview
573. Y. Pei, O. Zaiane, Y. Gao. "An Efficient Reference-based Approach to Outlier Detection in Large Dataset". IEEE International Conference on Data Mining (ICDM), pp 478-487, December 2006. PDFview
574. M. Ghavamzadeh, Y. Engel. "Bayesian Policy Gradient Algorithms". Neural Information Processing Systems (NIPS), December 2006. PDFview
575. C. Lee, S. Wang, F. Jiao, D. Schuurmans, R. Greiner. "Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields". Neural Information Processing Systems (NIPS), December 2006. PDFview
576. L. Antonie, O. Zaiane, R. Holte. "Learning to Use a Learned Model: A Two-Stage Approach to Classification". IEEE International Conference on Data Mining (ICDM), pp 33-42, December 2006. PDFview
577. I. Cheng, R. Goebel. "Perceptually enhanced multimedia processing, visualization and transmission". International Symposium on Multimedia, pp 509-516, December 2006. view
578. X. Su, T. Khoshgoftaar. "Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 497-504, November 2006. PDFview
579. Y. Li, J. Harms, R. Holte, R. Meshulam, D. Furcy. "Optimal Traffic-Oblivious Energy-Aware Routing for Multihop Wireless Networks". IEEE, November 2006. PDFview
580. S. Cheng, S. Nilufar, A. Basu, R. Goebel. "Shape tracking and registration for 4d visualization of mri". International Symposium on Visual Computing, pp 253-262, November 2006. view
581. Z. Cai, L. Xu, Y. Shi, M. Salavatipour, R. Goebel, G. Lin. "Using gene clustering to identify discriminatory genes with higher classification accuracy". IEEE Symposium on Bioinformatics and Bioengineering(BIBE), pp 235-242, November 2006. view
582. L. Kocsis, C. Szepesvari. "Bandit Based Monte-Carlo Planning". European Conference on Machine Learning (ECML), Berlin, Germany, pp 282-293, September 2006. PDFview
583. C. Lee, R. Greiner, O. Zaiane. "Efficient Spatial Classification Using Decoupled Conditional Random Field". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, (ed: Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou), pp 272-283, September 2006. PDFview
584. J. Huang, T. Zhu, R. Greiner, D. Zhou, D. Schuurmans. "Information Marginalization on Subgraphs". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, September 2006. PDFview
585. J. Schaeffer. "Learning to Have Fun". European Conference on Machine Learning (ECML), Berlin, Germany, September 2006. view
586. S. Wang, S. Wang, L. Cheng, R. Greiner, D. Schuurmans. "Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model". International Colloquium on Grammatical Inference (ICGI), Chofu, Tokyo, Japan, pp 97-111, September 2006. PDFview
587. M. Littman, N. Ravi, A. Talwar, M. Zinkevich. "An Efficient Optimal-Equilibrium Algorithm for Two-Player Game Trees". Conference on Uncertainty in Artificial Intelligence (UAI), August 2006. view
588. J. Huang, A. Smola, A. Gretton, B. Schoelkopf. "Correcting Sample Selection Bias by Unlabeled Data". Neural Information Processing Systems (NIPS), August 2006. view
589. R. Isukapalli, A. Elgammal, R. Greiner. "Learning Policies for Efficiently Identifying Objects of Many Classes". International Conference on Pattern Recognition (ICPR), Hong Kong, August 2006. PDFview
590. D. Zhou, J. Huang, B. Schoelkopf. "Learning with Hypergraphs: Clustering, Classification, and Embedding". Neural Information Processing Systems (NIPS), August 2006. view
591. N. Ratliff, J. Bagnell, M. Zinkevich. "Maximum Margin Planning". International Conference on Machine Learning (ICML), Pittsburgh, August 2006. view
592. A. Nayak, R. Goebel, M. Orgun, T. Pham. "Taking levi identity seriously: a plea for iterated belief contraction". International Conference on Knowledge Science (ICKS), pp 211-220, August 2006. view
593. M. El-Hajj, O. Zaiane. "Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment". International Conference on Parallel and Distributed Systems, Minneapolis, USA, pp 135-142, July 2006. PDFview
594. F. Jiao, S. Wang, C. Lee, R. Greiner, D. Schuurmans. "Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling". International Conference on Computational Linguistics and the Association for Computational Linguist, July 2006. PDFview
595. D. Szafron, B. Poulin, R. Eisner, P. Lu, R. Greiner, D. Wishart, A. Fyshe, B. Pearcy, C. Macdonell, J. Anvik. "Visual Explanation and Auditing of Evidence with Additive Classifiers". Innovative Applications of Artificial Intelligence, July 2006. PDFview
596. Q. Wang, C. Cherry, D. Lizotte, D. Schuurmans. "Improved Large Margin Dependency Parsing Via Local Constraints and Laplacian Regularization". Computational Natural Language Learning (CONLL), June 2006. PDFview
597. C. Lee, R. Greiner, S. Wang. "Using Query-Specific Variance Estimates to Combine Bayesian Classifiers". International Conference on Machine Learning (ICML), Pittsburgh, June 2006. PDFview
598. M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "A Classification-based Glioma Diffusion Model Using MRI Data". Canadian Conference on Artificial Intelligence (CAI), Quebec City, May 2006. PDFview
599. B. Price, G. Haeubl, R. Greiner. "Automatic Construction of Personalized Customer Interfaces". Marketing Science Conference, May 2006. view
600. R. Isukapalli, A. Elgammal, R. Greiner. "Learning to Detect Objects of Many Classes Using Binary Classifiers". European Conference on Computer Vision (ECCV), Graz, Austria, May 2006. PDFview
601. H. Fan, O. Zaiane, A. Foss, J. Wu. "A Nonparametric Outlier Detection for Effectively Discovering Top-N outliers from Engineering Data". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, (ed: Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li, Kuiyu Chang), pp 557-566, April 2006. PDFview
602. S. Khan, K. Iniewski, W. Myint, Y. Wang, C. Schlegel. "Emerging Short Reach Wireless Technologies: From 802.11n to 60+ GHz mm Wave Radios - A Silicon Perspective". Proceedings of the 2006 international conference on Wireless communications and mobile computing, April 2006. view
603. R. Isukapalli, A. Elgammal, R. Greiner. "Learning to Identify Facial Expression During Detection Using Markov Decision". Automatic Face and Gesture Recognition (FG), Southampton, UK, pp 305-310, April 2006. PDFview
604. X. Wu, R. Goebel, X. Wan, G. Lin. "Whole Genome Composition Distance for Hiv-1 Genotyping". Life Science Society Computational Systems Bioinformatics Conference, pp 179-190, April 2006. view
605. Y. Shi, Z. Cai, L. Xu, W. Ren, R. Goebel, G. Lin. "A model-free greedy gene selection for microarray sample class prediction". IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp 406-413, January 2006. view
606. R. Niewiadomski, J. Amaral, R. Holte. "A Parallel External-Memory Frontier Breadth-First Traversal Algorithm for Clusters of Workstations". International Conference on Parallel Processing (ICPP), pp 531-538, January 2006. PDFview
607. M. Carbonaro, M. Cutimisu, H. Duff, S. Gillis, C. Onuczko, J. Schaeffer, A. Schumacher, J. Siegel, D. Szafron, K. Waugh. "Adapting a Commercial Role-Playing Game for Educational Computer Game Production". GameOn North America, January 2006. PDFview
608. L. Cheng, S. Wang, D. Schuurmans, T. Caelli, S. Vishwantathan. "An online discriminative approach to background subtraction". IEEE, January 2006. PDFview
609. B. Price, R. Greiner, G. Haeubl, A. Flatt. "Automatic Construction of Personalized Customer Interfaces". International Conference on Intelligent User Interfaces (IUI), Sydney, Australia, January 2006. PDFview
610. M. Hlynka, J. Schaeffer. "Automatic Generation of Search Engines". Advances in Computer Games (ACG), pp 23-38, January 2006. PDFview
611. A. Kaboli, M. Bowling, P. Musilek. "Bayesian calibration for Monte Carlo localization". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 964-969, January 2006. PDFview
612. A. Rettinger, M. Zinkevich, M. Bowling. "Boosting expert ensembles for rapid concept recall". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 464--469, January 2006. PDFview
613. T. Wang, P. Poupart, M. Bowling, D. Schuurmans. "Compact, convex upper bound iteration for approximate POMDP planning". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1245-1251, January 2006. PDFview
614. Y. Guo, D. Schuurmans. "Convex structure learning for Bayesian networks: polynomial feature selection and approximate ordering". Conference on Uncertainty in Artificial Intelligence (UAI), January 2006. PDFview
615. L. Xu, D. Wilkinson, F. Southey, D. Schuurmans. "Discriminative Unsupervised Learning of Structured Predictors". International Conference on Machine Learning (ICML), Pittsburgh, January 2006. PDFview
616. U. Zahavi, A. Felner, R. Holte, J. Schaeffer. "Dual Search in Permutation State Spaces". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1076-1081, January 2006. PDFview
617. M. Cutimisu, C. Onuczko, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, J. Siegel, M. Carbonaro. "Evaluating Pattern Catalogs - The Computer Games Experience". International Conference on Software Engineering (ICSE), pp 132-141, January 2006. PDFview
618. Y. Bjornsson, J. Schaeffer, N. Sturtevant. "Imperfect Information EndGame Databases". Advances in Computer Games (ACG), pp 11-22, January 2006. view
619. L. Cheng, S. Vishwantathan, D. Schuurmans, S. Wang, T. Caelli. "Implicit Online Learning with Kernels". Neural Information Processing Systems (NIPS), January 2006. PDFview
620. A. Geramifard, M. Bowling, R. Sutton. "Incremental least-squares temporal difference learning,". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 356-361, January 2006. PDFview
621. A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Conference on Learning Theory (COLT), January 2006. PDFview
622. M. Bowling, P. McCracken, M. James, J. Neufeld, D. Wilkinson. "Learning predictive state representations using non-blind policies". International Conference on Machine Learning (ICML), Pittsburgh, pp 129-136, January 2006. PDFview
623. M. Zinkevich, M. Bowling, N. Bard, M. Kan, D. Billings. "Optimal unbiased estimators for evaluating agent performance". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 573-578, January 2006. PDFview
624. N. Sturtevant, M. Zinkevich, M. Bowling. "ProbMaxn: Opponent modeling in n-player games". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1057-1063, January 2006. PDFview
625. F. Jiao, J. Xu, L. Yu, D. Schuurmans. "Protein fold recognition using the gradient boost algorithm". Computational Systems Bioinformatics Conference (CSB), January 2006. PDFview
626. N. Sturtevant, M. Bowling. "Robust game play against unknown opponents". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 713-719, January 2006. PDFview
627. L. Xu, K. Crammer, D. Schuurmans. "Robust Support Vector Machine Training Via Convex Outlier Ablation". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, January 2006. PDFview
628. R. Niewiadomski, J. Amaral, R. Holte. "Sequential and Parallel Algorithms for Frontier A* With Delayed Duplicate Detection". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1039-1044, January 2006. PDFview
629. M. Bowling, D. Wilkinson, A. Ghodsi. "Subjective Mapping". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1569--1572, January 2006. PDFview
630. J. Huang, T. Zhu, D. Schuurmans. "Web community identification from random walks". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, January 2006. PDFview
631. M. El-Hajj, O. Zaiane. "Mining with Constraints by Pruning and Avoiding Ineffectual Processing". Australian Joint Conference on Artificial Intelligence, Sydney, Australia, (ed: Shichao Zhang, Ray Jarvis), pp 1001-1004, December 2005. PDFview
632. P. McCracken, M. Bowling. "Online discovery and learning of predictive state representations". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, pp 875–882, December 2005. PDFview
633. M. Schmidt, I. Levner, R. Greiner, A. Murtha, A. Bistritz. "Segmenting Brain Tumors using Alignment-Based Features". International Conference on Machine Learning and Applications (ICMLA), Los Angeles, December 2005. PDFview
634. K. Iniewski, C. Sium, S. Kilambi, S. Khan, B. Crowley, P. Mercier, C. Schlegel. "Ultra-Low Power Circuit and System Design Trade-Offs for Smart Sensor Network Applications". Information and Communications Technology, 2005. Enabling Technologies for the New Knowledge Society, December 2005. view
635. M. El-Hajj, O. Zaiane, P. Nalos. "Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking". IEEE International Conference on Data Mining (ICDM), Houston, USA, pp 146-153, November 2005. PDFview
636. R. Eisner, B. Poulin, D. Szafron, P. Lu, R. Greiner. "Improving Protein Function Prediction using the Hierarchical Structure of the Gene Ontology". IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), San Diego, November 2005. PDFview
637. X. Su, M. Kubat, M. Tapia, C. Hu. "Query Size Estimation Using Clustering Techniques". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 185-189, November 2005. PDFview
638. Y. Li, J. Harms, R. Holte. "Impact of Lossy Links on Performance of Multihop Wireless Networks". ICCCN, pp 303-308, October 2005. PDFview
639. A. Kapoor, R. Greiner. "Learning and Classifying under Hard Budgets". European Conference on Machine Learning (ECML), Porto, Portugal, pp 166-173, October 2005. PDFview
640. C. Drummond, R. Holte. "Severe Class Imbalance: Why Better Algorithms Aren't the Answer". European Conference on Machine Learning (ECML), Porto, Portugal, pp 539-546, October 2005. PDFview
641. C. Lee, R. Greiner, M. Schmidt. "Support Vector Random Fields for Spatial Classification". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, Portugal, pp 121-132, October 2005. PDFview
642. O. Zaiane, M. Antonie. "On Pruning and Tuning Rules for Associative Classifiers". International Conference on Knowledge-Based Intelligence Information , Melbourne, Australia, pp 966-973, September 2005. PDFview
643. A. Felner, U. Zahavi, J. Schaeffer, R. Holte. "Dual Lookups in Pattern Databases". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 103-108, August 2005. PDFview
644. S. Wang, S. Wang, R. Greiner, D. Schuurmans, L. Cheng. "Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields". International Conference on Machine Learning (ICML), Bonn, Germany, pp 953-960, August 2005. PSview
645. Y. Guo, R. Greiner, D. Schuurmans. "Learning Coordination Classifiers". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. PDFview
646. O. Zaiane, M. El-Hajj. "Pattern Lattice Traversal by Selective Jumps". International Conference on Knowledge Discovery and Data Mining, Chicago, USA, pp 729-735, August 2005. PDFview
647. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Regret-Based Utility Elicitation in Constraint-Based Decision Problems". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. PDFview
648. B. Tanner, R. Sutton. "TD(lambda) Networks: Temporal-Difference Networks With Eligibility Traces". International Conference on Machine Learning (ICML), Bonn, Germany, August 2005. PDFview
649. B. Tanner, R. Sutton. "Temporal-Difference Networks With History". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. view
650. T. Zhu, R. Greiner, G. Haeubl, K. Jewell, B. Price. "Using Learned Browsing Behavior Models to Recommend Relevant Web Pages". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 1589-1594, August 2005. PDFview
651. E. Rafols, M. Ring, R. Sutton, B. Tanner. "Using Predictive Representations to Improve Generalization in Reinforcement Learning". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. view
652. Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. PDFview
653. B. Hoehn, F. Southey, R. Holte, V. Bulitko. "Effective Short-Term Opponent Exploitation in Simplified Poker". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 783-788, July 2005. PDFview
654. M. El-Hajj, O. Zaiane. "Finding All Frequent Patterns Starting From The Closure". International Conference on Advanced Data Mining and Applications, Wuhan, China, pp 67-74, July 2005. PDFview
655. T. Zhu, R. Greiner, G. Haeubl, K. Jewell, B. Price. "Goal-Directed Site-Independent Recommendations from Passive Observations". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 549-556, July 2005. PDFview
656. T. Zhu, R. Greiner, G. Haeubl, K. Jewell, B. Price. "Off-line Evaluation of Recommendation Functions". User Modeling (UM), Edinburgh, UK, July 2005. PDFview
657. O. Zaiane. "Relevance of Counting in Data Mining Tasks". International Conference on Advanced Data Mining and Applications, Wuhan, China, (ed: Li X., Wang S., Dong Z.Y.), pp 14-18, July 2005. PDFview
658. G. Xiao, F. Southey, R. Holte, D. Wilkinson. "Software Testing by Active Learning for Commercial Games". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 898-903, July 2005. PDFview
659. M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, C. Onuczko, M. Carbonaro. "Generating Ambient Behaviors in Computer Role-Playing Games". Intelligent Technologies for Interactive Entertainment(INTETAIN), pp 34-43, June 2005. view
660. M. Chung, M. Buro, J. Schaeffer. "Monte Carlo Search for Real-Time Strategy Games". IEEE, pp 117-124, June 2005. PDFview
661. B. Price, P. Messinger. "Optimal Recommendation Sets: Covering Uncertainty over User Preferences". National Conference on Artificial Intelligence (AAAI), Pittsburgh, June 2005. PDFview
662. J. Schaeffer. "Solving Checkers: First Result". pp 28(1):32-36, June 2005. view
663. A. Ghodsi, J. Huang, F. Southey, D. Schuurmans. "Tangent Corrected Embedding". Computer Vision and Pattern Recognition (CVPR), June 2005. PDFview
664. T. Zhu, R. Greiner, G. Haeubl, B. Price, K. Jewell. "Behavior-based Recommender Systems for Web Content". International Conference on Intelligent User Interfaces (IUI), pp 83-88, May 2005. view
665. R. Rak, W. Stach, O. Zaiane, M. Antonie. "Considering Re-occurring Features in Associative Classifiers". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, pp 240-248, May 2005. PDFview
666. M. El-Hajj, O. Zaiane. "On Frequent Itemset Mining with Closure". International Conference on Information Technology (ICIT), Amman, Jordan, (ed: Al-Dahoud Ali), pp 21-30, May 2005. PDFview
667. O. Zaiane, M. El-Hajj, Y. Li, S. Luk. "Scrutinizing Frequent Pattern Discovery Performance". IEEE International Conference on Data Engineering (ICDE), Tokyo, Japan, pp 1109-1110, April 2005. PDFview
668. T. Zheng, R. Goebel. "A simulation-based approach to evaluating the effectiveness of navigation compression models". Florida AI Research Symposium, pp 238-244, March 2005. PSview
669. M. Bowling, A. Ghodsi, D. Wilkinson. "Action respecting embedding". International Conference on Machine Learning (ICML), Bonn, Germany, pp 65-72, January 2005. PDFview
670. F. Southey, M. Bowling, B. Larson, C. Piccione, N. Burch, D. Billings, C. Rayner. "Bayes' bluff: Opponent modelling in poker". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, pp 550-558, January 2005. PDFview
671. T. Wang, D. Lizotte, M. Bowling, D. Schuurmans. "Bayesian Sparse Sampling for On-Line Reward Optimization". International Conference on Machine Learning (ICML), Bonn, Germany, pp 961-968, January 2005. PDFview
672. M. Bowling. "Convergence and no-regret in multiagent learning". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, pp 209-216, January 2005. PDFview
673. M. Bowling, P. McCracken. "Coordination and adaptation in impromptu teams". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 53-58, January 2005. PDFview
674. C. Szepesvari, R. Munos. "Finite Time Bounds for Sampling Based Fitted Value Iteration". International Conference on Machine Learning (ICML), Bonn, Germany, pp 881-886, January 2005. PDFview
675. Y. Bjornsson, M. Enzenberger, R. Holte, J. Schaeffer. "Fringe Search: Beating A* at Pathfinding on Game Maps". IEEE, pp 125-132, January 2005. PDFview
676. Y. Li, J. Harms, R. Holte. "IDA*_MCSP: A Fast Exact MCSP Algorithm". ICC, pp 93-99, January 2005. view
677. Q. Wang, D. Schuurmans. "Improved estimation for unsupervised part-of-speech tagging". IEEE, January 2005. PDFview
678. M. Carbonaro, M. Cutimisu, M. McNaughton, C. Onuczko, T. Roy, J. Schaeffer, D. Szafron, S. Gillis, S. Kratchmer. "Interactive Story Writing in the Classroom: Using Computer Games". Digital Games Research Association (DIGRA), pp 323-328, January 2005. PDFview
679. A. Botea, M. Mueller, J. Schaeffer. "Learning Partial-Order Macros from Solutions". ICAPS, pp 231-240, January 2005. PDFview
680. D. Wilkinson, M. Bowling, A. Ghodsi. "Learning subjective representations for planning". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 889-894, January 2005. PDFview
681. L. Gerencser, M. Rasonyi, Z. Vago, C. Szepesvari. "Log-optimal currency portfolios and control Lyapunov exponents". IEEE, pp 1764-1769, January 2005. PDFview
682. Y. Guo, D. Wilkinson, D. Schuurmans. "Maximum Margin Bayesian Networks". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, January 2005. view
683. D. Precup, R. Sutton, C. Paduraru, A. Koop, S. Singh. "Off-Policy Learning With Recognizers". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2005. PDFview
684. L. Kocsis, C. Szepesvari. "Reduced-Variance Payoff Estimation in Adversarial Bandit Problems". European Conference on Machine Learning (ECML), Porto, Portugal, January 2005. PDFview
685. F. Southey, G. Xiao, R. Holte, M. Trommelen, J. Buchanan. "Semi-Automated Gameplay Analysis by Machine Learning". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), pp 123-128, January 2005. PDFview
686. J. Schaeffer, Y. Bjornsson, N. Burch, A. Kishimoto, M. Mueller, R. Lake, P. Lu, S. Sutphen. "Solving Checkers". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 292-297, January 2005. PDFview
687. M. Bowling, D. Wilkinson, A. Ghodsi, A. Milstein. "Subjective Localization With Action Respecting Embedding". International Symposium of Robotics Research (ISRR), January 2005. PDFview
688. R. Sutton, E. Rafols, A. Koop. "Temporal Abstraction in Temporal-Difference Networks". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2005. PDFview
689. R. Sutton, B. Tanner. "Temporal-Difference Networks". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, (ed: MIT Press), January 2005. view
690. L. Xu, D. Schuurmans. "Unsupervised and Semi-Supervised Multi-Class Support Vector Machines". National Conference on Artificial Intelligence (AAAI), Pittsburgh, January 2005. view
691. L. Cheng, F. Jiao, D. Schuurmans, S. Wang. "Variational Bayesian Image Modelling". International Conference on Machine Learning (ICML), Bonn, Germany, January 2005. view
692. P. McCracken, M. Bowling. "Safe strategies for agent modelling in games". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, October 2004. PDFview
693. L. Li, V. Bulitko, R. Greiner. "Batch reinforcement learning with state importance". European Conference on Machine Learning (ECML), Pisa, Italy, pp 566-588, September 2004. PDFview
694. M. Antonie, O. Zaiane. "Mining Positive and Negative Association Rules: An Approach for Confined Rules". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Pisa, Italy, (ed: J. G. Carbonell, J. Siekmann), pp 27-38, September 2004. PDFview
695. J. Li, O. Zaiane. "Combining Usage, Content and Structure Data to Improve Web Site Recommendation". International Conference on Electronic Commerce and Web Technologies (EC-Web), Zaragoza, Spain, pp 305-315, August 2004. PDFview
696. O. Madani, D. Lizotte, R. Greiner. "Active Model Selection". Conference on Uncertainty in Artificial Intelligence (UAI), Banff, Alberta, pp 357-365, July 2004. PDFview
697. M. Ghavamzadeh, S. Mahadevan. "Learning to Communicate and Act using Hierarchical Reinforcement Learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), July 2004. PDFview
698. O. Madani, D. Lizotte, R. Greiner. "The Budgeted Multi-Armed Bandit Problem". Conference on Learning Theory (COLT), Banff, Alberta, pp 643-645, July 2004. PDFview
699. T. Hauk, M. Buro, J. Schaeffer. "*-Minimax Performance in Backgammon". Computers and Games, pp 51-66, June 2004. PDFview
700. M. McNaughton, J. Schaeffer, D. Szafron, D. Parker, J. Redford. "Code Generation for AI Scripting in Computer Role-Playing Games". Challenges in Games Artificial Intelligence Report # WS-04-04, AAAI Press, pp 129-133, June 2004. PDFview
701. R. Holte, J. Newton, A. Felner, R. Meshulam, D. Furcy. "Multiple Pattern Databases". ICAPS, pp 122-131, June 2004. PDFview
702. O. Zaiane, M. El-Hajj. "Advances and Issues in Frequent Pattern Mining". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, May 2004. PDFview
703. S. Oliveira, O. Zaiane, Y. Saygin. "Secure Association Rule Sharing". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Sydney, Australia, (ed: Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang), pp 74-85, May 2004. PDFview
704. A. Ghodsi, J. Huang, D. Schuurmans. "Transformation-Invariant Embedding for image analysis". European Conference on Computer Vision (ECCV), Prague, Czech Republic, May 2004. PSview
705. A. Felner, R. Meshulam, R. Holte, R. Korf. "Compressing Pattern Databases". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 638-643, March 2004. PDFview
706. R. Goebel. "Cyberlaw: Tracking technological change to sustain social democracy". Multimedia Super Corridor International Cyberlaws Conference, pp 309-316, March 2004. view
707. P. Torma, C. Szepesvari. "Enhancing Particle Filters using Local Likelihood Sampling". European Conference on Computer Vision (ECCV), Prague, Czech Republic, January 2004. PDFview
708. D. Billings, M. Bowling, N. Burch, A. Davidson, R. Holte, J. Schaeffer, T. Schauenberg. "Game tree search with adaptation in stochastic imperfect information games". International Conference on Computers and Games (CG), pp 21-34, January 2004. PSview
709. C. Szepesvari, W. Smart. "Interpolation-based Q-learning". International Conference on Machine Learning (ICML), pp 791-798, January 2004. PDFview
710. A. Kocsor, K. Kovacs, C. Szepesvari. "Margin Maximizing Discriminant Analysis". European Conference on Machine Learning (ECML), Pisa, Italy, January 2004. PDFview
711. L. Xu, J. Neufeld, B. Larson, D. Schuurmans. "Maximum Margin Clustering". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2004. view
712. M. Bowling, B. Browning, M. Veloso. "Plays as effective multiagent plans enabling opponent-adaptive play selection". ICAPS, pp 376-383, January 2004. PDFview
713. M. McNaughton, M. Cutimisu, D. Szafron, J. Schaeffer, J. Redford, D. Parker. "ScriptEase: Generative Design Patterns for Computer Role-Playing Games". IEEE International Conference on Automated Software Engineering (ASE), pp 88-99, January 2004. PDFview
714. F. Southey, R. Holte. "Semi-Automated Gameplay Analysis". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, January 2004. view
715. C. Szepesvari. "Shortest Path Discovery Problems: A Framework, Algorithms and Experimental Results". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 550-555, January 2004. PDFview
716. M. Mueller, M. Enzenberger, J. Schaeffer. "Temperature Discovery Search". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 658-663, January 2004. PDFview
717. A. Botea, M. Mueller, J. Schaeffer. "Using Component Abstraction for Automatic Generation of Macro-actions". ICAPS, pp 181-190, January 2004. PDFview
718. I. Levner, L. Li, R. Greiner, V. Bulitko. "Improving an adaptive image interpretation system by leveraging". Eighth Australian and New Zealand Conference on Intelligent Information Systems (ANZCIIS), New Zealand, pp 501-506, December 2003. view
719. I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Learning robust object recognition strategies". Eighth Australian and New Zealand Conference on Intelligent Information Systems (ANZCIIS), New Zealand, pp 489-494, December 2003. PDFview
720. I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Automated feature extraction for object recognition". Image and Vision Computing New Zealand (IVCNZ), New Zealand, pp 309-313, November 2003. PDFview
721. B. Shen, X. Su, R. Greiner, P. Musilek, C. Cheng. "Discriminative Parameter Learning of General Bayesian Network Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Sacramento, California, November 2003. view
722. S. Oliveira, O. Zaiane. "Protecting Sensitive Knowledge By Data Sanitization". IEEE International Conference on Data Mining (ICDM), Melbourne, USA, pp 613-616, November 2003. PDFview
723. S. Wang, D. Schuurmans. "Learning Continuous Latent Variable Models With Bregman Divergences". ICASSP, October 2003. PSview
724. S. Oliveira, O. Zaiane. "Privacy Preserving Clustering By Data Transformation". Brazilian Symposium on Databases (SBBD), Manaus, Brazil, (ed: Alberto H. F. Laender), pp 304-318, October 2003. PDFview
725. T. Zheng, Y. Niu, J. Chen, R. Goebel. "WebKIV: Visualizing Structure and Navigation forWeb Mining Applications". IEEE, pp 13-17, October 2003. PDFview
726. M. El-Hajj, O. Zaiane. "Non Recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Prague, Czech Republic, pp 371-380, September 2003. PDFview
727. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Boltzmann Machine Learning With the Latent Maximum Entropy Principle". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003. PSview
728. D. Lizotte, O. Madani, R. Greiner. "Budgeted Learning of Naive-Bayes Classifiers". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003. PSview
729. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Policy Gradient Algorithms". International Conference on Machine Learning (ICML), Washington, DC USA, pp 226-233, August 2003. PDFview
730. M. El-Hajj, O. Zaiane. "Inverted Matrix: Efficient Discovery of Frequent Items in Large Datasets in the Context of Interactive Mining". International Conference on Knowledge Discovery and Data Mining, Washington, USA, (ed: Lise Getoor, Ted E. Senator, Pedro M. Domingos, Christos Faloutsos), pp 109-118, August 2003. PDFview
731. T. Zhu, R. Greiner, G. Haeubl. "Learning a Model of a Web User's Interests". User Modeling (UM), Johnstown, PA, USA, pp 65-75, August 2003. PSview
732. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Learning mixture models with the regularized latent maximum entropy principle". International Conference on Machine Learning (ICML), Washington, DC USA, August 2003. PDFview
733. V. Bulitko, L. Li, R. Greiner, I. Levner. "Lookahead Pathologies for Single Agent Search". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, August 2003. PDFview
734. M. Bowling, M. Veloso. "Simultaneous adversarial multi-robot learning". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 699-704, August 2003. PDFview
735. S. Oliveira, O. Zaiane. "Algorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining". International Database Engineering and Applications Symposium, Hong Kong, China, pp 54-63, July 2003. PDFview
736. A. Ghodsi, D. Schuurmans. "Automatic Basis Selectsion for RBF Networks". IJCNN, July 2003. view
737. Y. Zhang, M. Nascimento, O. Zaiane. "Building Image Mosaics: An Application of Content-based Image Retrieval". IEEE International Conference on Multimedia and Expo (ICME), Baltimore, USA, pp 111-116, July 2003. PDFview
738. W. Cheung, O. Zaiane. "Incremental Mining of Frequent Patterns Without Candidate Generation or Support Constraint". International Database Engineering and Applications Symposium, Hong Kong, China, pp 111-116, July 2003. PDFview
739. I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Towards automated creation of image interpretation systems". Australian Joint Conference on Artificial Intelligence, pp 653-665, July 2003. PDFview
740. R. Niewiadomski, J. Amaral, R. Holte. " Crafting Data Structures: A Study of Reference Locality in Refinement Based Path Finding". International Conference on High Performance Computing(HiPC), (ed: T.M. Pinkston and V.K. Prasanna), pp 438-448, June 2003. PDFview
741. A. Ghodsi, D. Schuurmans. "Automatic basis selection for RBF networks using Stein's unbiased risk estimator". IJCNN, June 2003. PDFview
742. A. Ghodsi, D. Schuurmans. "Automatic Complexity Control for System Identification". Fuzzy Systems Association World Congress(IFSA), June 2003. PDFview
743. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Constraint-based optimization and elicitation with the minimax decision criterion". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, June 2003. view
744. F. Lu, D. Schuurmans. "Model-Based Least-Squares Policy Evalulation". Canadian Conference on Artificial Intelligence (CAI), Halifax, Nova Scotia, Canada, June 2003. PSview
745. T. Zhu, R. Greiner, G. Haeubl. "An Effective Complete-Web Recommender System". Twelfth International World Wide Web Conference, Budapest, HUNGARY, May 2003. PDFview
746. F. Peng, D. Schuurmans, S. Wang. "Language and Task Independent Text Categorization With Simple Language Models". HLT-NAACL, May 2003. PDFview
747. F. Peng, D. Schuurmans, S. Wang. "Language independent authorship attribution using character level language models". EACL, April 2003. PSview
748. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Semantic N-Gram Language Modelling With the Latent Maximum Entropy Principle". ICASSP, April 2003. view
749. D. Billings, N. Burch, A. Davidson, R. Holte, J. Schaeffer, T. Schauenberg, D. Szafron. "Approximating Game-Theoretical Optimal Strategies for Full-Scale Poker". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 661-668, January 2003. view
750. J. Schaeffer, Y. Bjornsson, N. Burch, R. Lake, P. Lu, S. Sutphen. "Building the Checkers 10-piece Endgame Databases". Advances in Computer Games (ACG), (ed: Kluwer Academic Publishers), pp 193-210, January 2003. PDFview
751. P. Torma, C. Szepesvari. "Combining Local Search, Neural Networks and Particle Filters to Achieve Fast and Reliable Contour Tracking". IEEE, January 2003. PDFview
752. F. Peng, D. Schuurmans. "Combining Naive Bayes and n-Gram Language Models for Text Classification". ECIR, January 2003. PSview
753. Y. Bjornsson, M. Enzenberger, R. Holte, J. Schaeffer, P. Yap. "Comparison of Different Abstractions for Pathfinding on Maps". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 1536-1538, January 2003. PDFview
754. A. Driga, P. Lu, J. Schaeffer, D. Szafron, K. Charter, I. Parsons. "FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm for Sequence Alignment". International Conference on Parallel Processing (ICPP), Kaohsiung, Taiwan, pp 48-57, January 2003. PDFview
755. S. Wang, D. Schuurmans, F. Peng. "Latent Maximum Entropy Approach for Semantic N-Gram Language Modeling". International Workshop on Artificial Intelligence and Statistics (AISTATS), January 2003. PDFview
756. F. Lu, D. Schuurmans. "Monte Carlo matrix inversion policy evaluation". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, January 2003. PSview
757. J. Bruce, M. Bowling, B. Browning, M. Veloso. "Multi-robot team response to a multi-robot opponent team". IEEE International Conference on Robotics and Automation (ICRA), pp 2281-2286, January 2003. view
758. M. Goldenberg, A. Kovarksy, X. Wu, J. Schaeffer. "Multiple Agents Moving Target Search". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 1511-1512, January 2003. PDFview
759. M. McNaughton, J. Redford, J. Schaeffer, D. Szafron. "Pattern-based AI Scripting Using ScriptEase". Canadian Society for Computational Studies of Intelligence, pp 35-49, January 2003. PSview
760. P. Torma, C. Szepesvari. "Sequential Importance Sampling for Visual Tracking Reconsidered". International Workshop on Artificial Intelligence and Statistics (AISTATS), pp 271-278, January 2003. PDFview
761. X. Huang, F. Peng, A. An, D. Schuurmans, N. Cercone. "Session Boundary Detection for Association Rule Learning Using n-Gram Language Models". Canadian Conference on Artificial Intelligence (CAI), Halifax, Nova Scotia, Canada, January 2003. PDFview
762. R. Isukapalli, R. Greiner. "Use of Off-line Dynamic Programming for Efficient Image Interpretation". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, January 2003. PDFview
763. K. Tan, D. Szafron, J. Schaeffer, J. Anvik, S. MacDonald. "Using Generative Design Patterns to Generate Parallel Code for a Distributed Memory Environment". ACM Sigplan Symposium on Principles and Practice of Parallel Programming, pp 203-215, January 2003. PDFview
764. J. Anvik, J. Schaeffer, D. Szafron, K. Tan. "Why Not Use a Pattern-based Parallel Programming System?". Euro-Par, pp 81-86, January 2003. PSview
765. A. Foss, O. Zaiane. "A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets". IEEE International Conference on Data Mining (ICDM), pp 179-186, December 2002. PDFview
766. O. Zaiane. "Building a Recommender Agent for e-Learning Systems". International Conference on Computers in Education, Auckland, New Zealand, pp 55-59, December 2002. PDFview
767. M. Antonie, O. Zaiane. "Text Document Categorization by Term Association". IEEE International Conference on Data Mining (ICDM), pp 19-26, December 2002. PDFview
768. T. Zhu, R. Greiner, G. Haeubl. "Important Page Prediction for Internet Recommendation: A Machine Learning Way". International Conference on Fuzzy Systems and Knowledge Discovery(FSKD), November 2002. PDFview
769. R. Greiner, R. Hayward, M. Molloy. "Optimal Depth-First Strategies for And-Or Trees". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, August 2002. PSview
770. F. Peng, X. Huang, D. Schuurmans, N. Cercone. "Investigating the Relationship Between Word Segmentation Performance and Retrieval Performance in Chinese IR". Conference on Computational Linguistics (COLING), Taipei, August 2002. PDFview
771. I. Levner, V. Bulitko, O. Madani, R. Greiner. "Performance of Lookahead Control Policies in the Face of Abstractions and Approximations". Symposium on Abstraction, Reformulation and Approximation, pp 299-308, August 2002. PDFview
772. R. Greiner, W. Zhou. "Structural Extension to Logistic Regression: Discriminant Parameter Learning of Belief Net Classifiers". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, August 2002. PSview
773. M. Bowling, R. Jensen, M. Veloso. "A formalization of equilibria for multiagent planning". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, July 2002. PDFview
774. C. Guestrin, R. Patrascu, D. Schuurmans. "Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs". International Conference on Machine Learning (ICML), Sydney Australia, July 2002. PDFview
775. O. Zaiane, C. Lee. "Clustering Spatial Data in the Presence of Obstacles: A Density-Based Approach". International Database Engineering and Applications Symposium, Edmonton, Canada, (ed: Mario A. Nascimento, M. Tamer Özsu, Osmar R. Zaïane), pp 214-223, July 2002. PDFview
776. O. Zaiane, C. Lee. "Clustering Spatial Data in the Presence of Obstacles: A Density-Based Approach". International Database Engineering and Applications Symposium, Edmonton, Canada, pp 214-223, July 2002. PDFview
777. G. Elidan, M. Ninio, N. Friedman, D. Schuurmans. "Data Perturbation for Escaping Local Maxima in Learning". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, July 2002. PDFview
778. C. Lee, O. Zaiane. "Density-Based Clustering of Spatial Data in the Presence of Physical Obstacles". The World Congress of Korean and Korean-Ethnic Scientists and Engineers, Seoul, Korea, pp n/a, July 2002. view
779. R. Patrascu, P. Poupart, D. Schuurmans, C. Boutilier, C. Guestrin. "Greedy Linear Value-Approximation for Factored Markov Decision Processes". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, July 2002. PDFview
780. M. Ghavamzadeh, S. Mahadevan. "Hierarchically Optimal Average Reward Reinforcement Learning". International Conference on Machine Learning (ICML), Sydney Australia, pp 195-202, July 2002. PSview
781. M. Ghavamzadeh, S. Mahadevan. "Multiagent Reinforcement Learning Algorithm by Dynamically Merging Markov Decision Processes". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 845-846, July 2002. PDFview
782. P. Poupart, C. Boutilier, R. Patrascu, D. Schuurmans. "Piecewise Linear Value Function Approximation for Factored MDPs". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, July 2002. PDFview
783. G. Kaminka, M. Bowling. "Towards robust teams with many agents". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 739-736, July 2002. view
784. A. Kishimoto, J. Schaeffer. "Distributed Game-Tree Search Using Transposition Table Driven Work Scheduling". International Conference on Parallel Processing (ICPP), June 2002. PDFview
785. T. Van Allen, R. Greiner. "Model Selection Criteria for Learning Belief Nets: An Empirical Comparison". International Conference on Machine Learning (ICML), Sydney Australia, June 2002. PSview
786. S. Wang, R. Rosenfeld, Y. Zhao, D. Schuurmans. "The latent maximum entropy principle". International Symposium on Information Theory (ISIT), June 2002. view
787. O. Zaiane, A. Foss. "Data Clustering Analysis, From Simple Groupings to Scalable Clustering with Constraints". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taipei, Taiwan, pp 137-201, May 2002. view
788. B. Browning, M. Bowling, M. Veloso. "Improbability Filtering for Rejecting False Positives". IEEE, pp 3038--3043, May 2002. PDFview
789. O. Zaiane, A. Foss, C. Lee, W. Wang. "On Data Clustering Analysis: Scalability, Constraints and Validation". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taipei, Taiwan, pp 28-39, May 2002. PDFview
790. O. Zaiane, M. Antonie. "Classifying text documents by associating terms with text categories". Australasian Database Conference, Melbourne, Australia, pp 215-222, February 2002. PDFview
791. S. Bromling, S. MacDonald, J. Anvik, J. Schaeffer, D. Szafron, K. Tan. "Pattern-based Parallel Programming". International Conference on Parallel Processing (ICPP), pp 257-265, February 2002. PDFview
792. S. MacDonald, D. Szafron, J. Schaeffer, J. Anvik, S. Bromling, K. Tan. "Generative Design Patterns". IEEE International Conference on Automated Software Engineering (ASE), pp 23-34, January 2002. PDFview
793. F. Lu, R. Patrascu, D. Schuurmans. "Investigating the Maximum Likelihood Alternative to TD()". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2002. PDFview
794. M. McNaughton, P. Lu, J. Schaeffer, D. Szafron. "Memory-Efficient A* Heuristics for Multiple Sequence Alignment". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, pp 737-743, January 2002. PDFview
795. F. Southey, D. Schuurmans, A. Ghodsi. "Regularized Greedy Importance Sampling". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2002. PDFview
796. P. Torma, C. Szepesvari. "Towards Facial Pose Tracking". Hungarian Computer Graphics and Geometry Conference, pp 10-16, January 2002. PDFview
797. A. Kishimoto, J. Schaeffer. "Transposition Table Driven Work Scheduling in Distributed Game-Tree Search". Canadian Society for Computational Studies of Intelligence, January 2002. PSview
798. A. Botea, M. Mueller, J. Schaeffer. "Using Abstraction for Planning in Sokoban". Computers and Games, pp 360-375, January 2002. PDFview
799. F. Peng, X. Huang, D. Schuurmans, N. Cercone, S. Robertson. "Using Self-Supervised Word Segmentation in Chinese Information Retrieval". SIGIR, January 2002. PDFview
800. F. Peng, D. Schuurmans. "A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling". Natural Language Processing Pacific Rim Symposium, December 2001. PDFview
801. D. Schuurmans, R. Patrascu. "Direct Value-Approximation for Factored MDPs". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, December 2001. PDFview
802. F. Peng, D. Schuurmans. "A Hierarchical EM Approach to Word Segmentation". Natural Language Processing Pacific Rim Symposium, November 2001. PDFview
803. O. Zaiane, M. El-Hajj, P. Lu. "Fast Parallel Association Rule Mining Without Candidacy Generation". IEEE International Conference on Data Mining (ICDM), San Jose, USA, (ed: Nick Cercone, Tsau Young Lin, Xindong Wu), pp 665-668, November 2001. PDFview
804. R. Jensen, M. Veloso, M. Bowling. "OBDD-Based Optimistic and Strong Cyclic Adversarial Planning". European Conference on Planning (ECP), pp 265-276, September 2001. PDFview
805. F. Peng, D. Schuurmans. "Self-Supervised Chinese Word Segmentation". International Joint Conference on Artificial Intelligence (IJCAI), September 2001. PDFview
806. A. Ammoura, O. Zaiane, R. Goebel. "Towards a Novel OLAP Interface for Distributed Data Warehouses". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Munich, Germany, (ed: Kambayashi, Yahiko; Winiwarter, Werner; Arikawa, Masatoshi), pp 174-185, September 2001. PDFview
807. R. Greiner, R. Isukapalli. "Efficient Car Recognition Policies". IEEE International Conference on Robotics and Automation (ICRA), Seoul, pp 2134--2139, August 2001. PSview
808. T. Van Allen, R. Greiner, P. Hooper. "Bayesian Error-Bars for Belief Net Inference". Conference on Uncertainty in Artificial Intelligence (UAI), Seattle, Washington, USA, August 2001. PSview
809. R. Isukapalli, R. Greiner. "Efficient Interpretation Policies". International Joint Conference on Artificial Intelligence (IJCAI), August 2001. PSview
810. M. Bowling, M. Veloso. "Rational and Convergent Learning in Stochastic Games". International Joint Conference on Artificial Intelligence (IJCAI), pp 1021-1026, August 2001. PDFview
811. D. Schuurmans, F. Southey, R. Holte. "The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming". International Joint Conference on Artificial Intelligence (IJCAI), pp 334-341, August 2001. PDFview
812. O. Zaiane, J. Luo. "Towards evaluating learners' behaviour in a web-based distance learning environment". International Conference on Advanced Learning Technologies (ICALT), Madison, USA, pp 357-360, August 2001. PDFview
813. M. Ghavamzadeh, S. Mahadevan. "Continuous-Time Hierarchical Reinforcement Learning". International Conference on Machine Learning (ICML), Williams College, pp 186-193, July 2001. PDFview
814. M. Bowling, M. Veloso. "Convergence of Gradient Dynamics with a Variable Learning Rate". International Conference on Machine Learning (ICML), Williams College, pp 27-34, June 2001. PDFview
815. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Multi-Agent Reinforcement Learning". pp 246-253, June 2001. PDFview
816. O. Zaiane. "Web Usage Mining for a Better Web-Based Learning Environment". Conference on Advanced Technology for Education, Banff, Canada, pp 60-64, June 2001. PDFview
817. J. Cheng, R. Greiner. "Learning Bayesian Belief Network Classifiers: Algorithms and System". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, May 2001. PDFview
818. O. Zaiane. "Web Mining: From Concepts to Practical Systems". International Conference on Database Systems for Advanced Applications (DASFAA), Hong Kong, China, pp n/a, April 2001. PDFview
819. A. Ammoura, O. Zaiane. "Immersed Visual Data Mining: Walking The Walk". British National Conference on Databases (BNCOD), Oxford, England, pp 202-218, February 2001. view
820. R. Holte. "Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, pp 57-66, January 2001. view
821. D. Precup, R. Sutton, S. Dasgupta. "Off-Policy Temporal-Difference Learning With Function Approximation". International Conference on Machine Learning (ICML), Williams College, pp 417-424, January 2001. PDFview
822. M. Littman, R. Sutton, S. Singh. "Predictive Representations of State". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2001. view
823. P. Stone, R. Sutton. "Scaling Reinforcement Learning Toward RoboCup Soccer". International Conference on Machine Learning (ICML), Williams College, January 2001. PDFview
824. T. Van Allen, R. Greiner. "A Model Selection Criteria for Learning Belief Nets: An Empirical Comparison". International Conference on Machine Learning (ICML), Stanford University, July 2000. PSview
825. D. Schuurmans, A. Bistritz, F. Southey. "Monte Carlo Inference Via Greedy Importance Sampling". Conference on Uncertainty in Artificial Intelligence (UAI), July 2000. PDFview
826. B. Korvemaker, R. Greiner. "Predicting UNIX Command Lines: Adjusting to User Patterns". National Conference on Artificial Intelligence (AAAI), pp 230-235, July 2000. PDFview
827. D. Schuurmans, F. Southey. "An adaptive regularization criterion for supervised learning". International Conference on Machine Learning (ICML), Stanford University, June 2000. PDFview
828. M. Bowling. "Convergence Problems of General-Sum Multiagent Reinforcement Learning". International Conference on Machine Learning (ICML), Stanford University, pp 89-94, June 2000. PDFview
829. D. Schuurmans, F. Southey. "Local Search Characteristics of Incomplete SAT Procedures". National Conference on Artificial Intelligence (AAAI), June 2000. view
830. O. Zaiane, J. Han, H. Zhu. "Mining Recurrent Items in Multimedia with Progressive Resolution Refinement". International Conference on Data Engineering (ICDE), San Diego, USA, pp 461-470, February 2000. PDFview
831. D. Precup, R. Sutton, S. Singh. "Eligibility Traces for Off-Policy Policy Evaluation". International Conference on Machine Learning (ICML), Stanford University, pp 759-766, January 2000. PDFview
832. R. Holte, I. Hernadvolgyi. "Experiments with Automatically Created Memory-Based Heuristics". Symposium on Abstraction, Reformulation and Approximation, Horseshoe Bay Resort and Conference Club; HorseshoeBay (Lake LBJ), Texas, January 2000. view
833. C. Drummond, R. Holte. "Explicitly Representing Expected Cost: An Alternative to ROC Representation". Knowledge Discovery and Datamining, -, pp 187-207, January 2000. view
834. C. Drummond, R. Holte. "Exploiting the Cost (In) Sensitivity of Decision Tree Splitting Criteria". International Conference on Machine Learning (ICML), Stanford University, pp 239-246, January 2000. PSview
835. D. Schuurmans. "Greedy Importance Sampling". Neural Information Processing Systems (NIPS), Denver, CO, USA, December 1999. PDFview
836. B. de Bruijn, R. Holte, J. Martin. "An Automated Method for Studying Interactive Systems". American Society for Information Science (ASIS), pp 751-762, November 1999. view
837. M. Bowling, M. Veloso. "Motion Control in Dynamic Multi-Robot Environments". IEEE, pp 168-173, November 1999. PDFview
838. M. Bowling, M. Veloso. "Bounding the Suboptimality of Reusing Subproblems". International Joint Conference on Artificial Intelligence (IJCAI), pp 1340-1345, August 1999. PDFview
839. J. Cheng, R. Greiner. "Comparing Bayesian Network Classifiers". Conference on Uncertainty in Artificial Intelligence (UAI), pp 101-107, August 1999. PDFview
840. D. Schuurmans, L. Greenwald. "Efficient Exploration for Optimizing Immediate Reward". National Conference on Artificial Intelligence (AAAI), Orlando, Florida, July 1999. PDFview
841. R. Holte, I. Hernadvolgyi. "A Space-Time Tradeoff for Memory-Based Heuristics". National Conference on Artificial Intelligence (AAAI), Orlando, Florida, pp 704-709, January 1999. view
842. R. Sutton, S. Singh, D. Precup, B. Ravindran. "Improved Switching Among Temporally Abstract Actions". Neural Information Processing Systems (NIPS), Denver, CO, USA, pp 1066-1072, January 1999. PDFview
843. R. Moll, A. Barto, T. Perkins, R. Sutton. "Learning Instance-Independent Value Functions to Enhance Local Search". Neural Information Processing Systems (NIPS), Denver, CO, USA, pp 1017-1023, January 1999. PSview
844. R. Sutton. "Open Theoretical Questions in Reinforcement Learning". Conference on Learning Theory (COLT), pp 11-17, January 1999. PDFview
845. R. Sutton, D. McAllester, S. Singh, Y. Mansour. "Policy Gradient Methods for Reinforcement Learning With Function Approximation". Neural Information Processing Systems (NIPS), Denver, CO, USA, pp 1057-1063, January 1999. view
846. O. Zaiane, J. Han, Z. Li, J. Hou. "Mining Multimedia Data". CASCON: Meeting of Minds, Toronto, Canada, pp 83-96, November 1998. PDFview
847. A. Grove, D. Schuurmans. "Boosting in the limit: Maximizing the margin of learned ensembles". National Conference on Artificial Intelligence (AAAI), June 1998. PDFview
848. O. Zaiane, J. Han, Z. Li, S. Chee, J. Chiang. "MultimediaMiner: A System Prototype for Multimedia Data Mining". ACM-SIGMOD International Conference on Management of Data (SIGMOD), Seattle, United States, pp 581-583, June 1998. PDFview
849. J. Martin, R. Holte. "Searching for Content-Based Addresses on the World-Wide Web". DL, pp 299-300, June 1998. view
850. O. Zaiane, M. Xin, J. Han. "Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs". Advances in Digital Libraries, Santa Barbara, USA, pp 19-29, April 1998. PDFview
851. R. Sutton, D. Precup, S. Singh. "Intra-Option Learning About Temporally Abstract Actions". International Conference on Machine Learning (ICML), Madison, Wisconsin USA, pp 556-564, January 1998. PDFview
852. D. Precup, R. Sutton. "Multi-Time Models for Temporally Abstract Planning". Neural Information Processing Systems (NIPS), Denver, CO, USA, pp 1050-1056, January 1998. PSview
853. D. Precup, R. Sutton, S. Singh. "Theoretical Results on Reinforcement Learning With Temporally Abstract Options". European Conference on Machine Learning (ECML), Chemnitz, Germany, pp 382-393, January 1998. PDFview
854. J. Han, J. Chiang, S. Chee, J. Chen, Q. Chen, S. Cheng, W. Gong, M. Kamber, K. Koperski, G. Liu, Y. Lu, N. Stefanovic, L. Winstone, B. Xia, O. Zaiane, S. Zhang, H. Zhu. "DBMiner: A System for Data Mining in Relational Databases and Data Warehouses'". CASCON: Meeting of Minds, Toronto, Canada, pp 249-260, November 1997. PDFview
855. O. Zaiane, A. Fall, S. Rochefort, V. Dahl, P. Tarau. "On-Line Resource Discovery Using Natural Language". Computer-Assisted Searching on the Internet (RIAO), Montreal, Canada, pp 336-355, November 1997. PDFview
856. M. Ghavamzadeh, C. Lucas, S. Arani. "Forecasting the International Oil and Gold Prices Using Artificial Neural Networks". September 1997. view
857. A. McGovern, R. Sutton, A. Fagg. "Roles of Macro-Actions in Accelerating Reinforcement Learning". Grace Hopper Celebration of Women in Computing, pp 13-17, September 1997. PDFview
858. R. Greiner, A. Grove, D. Schuurmans. "Learning Bayesian Nets that Perform Well". Conference on Uncertainty in Artificial Intelligence (UAI), Providence, Rhode Island, August 1997. PDFview
859. D. Precup, R. Sutton. "Exponentiated Gradient Methods for Reinforcement Learning". International Conference on Machine Learning (ICML), Nashville, pp 272-277, July 1997. PDFview
860. D. Precup, R. Sutton. "Multi-Time Models for Reinforcement Learning". International Conference on Machine Learning (ICML), Nashville, July 1997. view
861. T. Scheffer, R. Greiner, C. Darken. "Why Experimentation can be better than `Perfect Guidance'". International Conference on Machine Learning (ICML), Nashville, July 1997. PSview
862. A. Grove, N. Littlestone, D. Schuurmans. "General Convergence Results for Linear Discriminant Updates". Conference on Learning Theory (COLT), June 1997. view
863. D. Precup, R. Sutton, S. Singh. "Planning with Closed-Loop Macro Actions". National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, pp 73-76, May 1997. PDFview
864. D. Schuurmans. "A New Metric-Based Approach to Model Selection". National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, January 1997. PDFview
865. D. Schuurmans, L. Ungar, D. Foster. "Characterizing the Generalization Performance of Model Selection Strategies". International Conference on Machine Learning (ICML), Nashville, January 1997. PDFview
866. J. Han, Y. Fu, W. Wang, J. Chiang, W. Gong, K. Koperski, D. Li, Y. Lu, A. Rajan, N. Stefanovic, B. Xia, O. Zaiane. "DBMiner: A System for Mining Knowledge in Large Relational Databases". International Conference on Data Mining and Knowledge Discovery (KDD), Portland, USA, pp 250-255, August 1996. PDFview
867. R. Greiner, D. Schuurmans. "Learning to Classify Incomplete Examples". Conference on Learning Theory (COLT), August 1996. PSview
868. R. Greiner, A. Grove, A. Kogan. "Exploiting the Omission of Irrelevant Data". International Conference on Machine Learning (ICML), pp 207-215, July 1996. PDFview
869. R. Greiner, A. Grove, D. Roth. "Learning Active Classifiers". International Conference on Machine Learning (ICML), pp 207-215, July 1996. PDFview
870. J. Han, Y. Fu, W. Wang, J. Chiang, O. Zaiane, K. Koperski. "DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases". ACM-SIGMOD International Conference on Management of Data (SIGMOD), Montreal, Canada, (ed: Jennifer Widom), pp 550, June 1996. PDFview
871. R. Holte, J. Yan. "Inferring What a User is Not Interested In". Canadian Conference on Artificial Intelligence (CAI), pp 159-171, May 1996. PSview
872. R. Sutton. "Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding". Neural Information Processing Systems (NIPS), pp 1038-1044, January 1996. PDFview
873. R. Holte, F. Peng, R. Zimmer, A. MacDonald. "Hierarchical A*: Searching Abstraction Hierarchies Efficiently". National Conference on Artificial Intelligence (AAAI), Portland, Oregon, January 1996. view
874. Y. Li, J. Harms, R. Holte. "A Simple Method for Balancing Network Utilization and Routing Quality for Oblivious Routing". ICCCN, pp 71-76, September 1995. view
875. D. Schuurmans, R. Greiner. "Practical PAC Learning". International Joint Conference on Artificial Intelligence (IJCAI), August 1995. PDFview
876. O. Zaiane, J. Han. "Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment". International Conference on Knowledge Discovery in Databases (KDD), Montreal, Canada, pp 331-336, August 1995. PDFview
877. R. Greiner. "The Complexity of Theory Revision",". International Joint Conference on Artificial Intelligence (IJCAI), pp 1162-1168, August 1995. view
878. D. Schuurmans, R. Greiner. "Sequential PAC Learning". Conference on Learning Theory (COLT), Santa Cruz, California, pp 277-284, July 1995. PDFview
879. R. Greiner. "The Challenge of Revising an Impure Theory". International Conference on Machine Learning (ICML), pp 268-277, July 1995. view
880. D. Schuurmans. "Characterizing Rational Versus Exponential Learning Curves". EuroCOLT, June 1995. view
881. J. Han, O. Zaiane, Y. Fu. "Resource and Knowledge Discovery in Global Information Systems: A Scalable Multiple Layered Database Approach". Advances in Digital Libraries, Washington, USA, pp n/a, May 1995. view
882. R. Holte, C. Drummond. "A Learning Apprentice for Browsing". National Conference on Artificial Intelligence (AAAI), January 1995. view
883. R. Sutton. "TD Models: Modeling the World at a Mixture of Time Scales". International Conference on Machine Learning (ICML), pp 531-539, January 1995. PSview
884. P. Auer, R. Holte, W. Maass. "Theory and Applications of Agnostic PAC-Learning With Small Decision Trees". International Conference on Machine Learning (ICML), pp 21-29, January 1995. view
885. R. Greiner, R. Isukapalli. "Learning to Select Useful Landmarks". National Conference on Artificial Intelligence (AAAI), pp 1251-56, August 1994. PDFview
886. H. Inazumi, k. Tokiwa, R. Holte. "A Step Towards a New Test for Learnability of Machine Learning". IEEE, June 1994. PDFview
887. D. Schuurmans, R. Greiner. "Learning Default Concepts". Canadian Conference on Artificial Intelligence (CAI), Banff, Canada, May 1994. PSview
888. R. Holte, C. Drummond, M. Perez, R. Zimmer, A. MacDonald. "Searching With Abstractions: A Unifying Framework and New High-Performance Algorithm". Canadian Conference on Artificial Intelligence (CAI), Banff, Canada, pp 263-270, January 1994. view
889. R. Zimmer, C. Heide-Korbel, A. MacDonald, R. Holte. "Effects of Granularity of Representation on Learning: An Application to Genetic Algorithms". Florida AI Research Symposium, June 1993. view
890. A. MacDonald, R. Holte, R. Zimmer. "Optimising The Induction of Decision Trees". Florida AI Research Symposium, pp 203-207, June 1993. view
891. O. Zaiane, A. Gamache. "Optimisation de l'espace mémoire du DMP par compression des transactions médicales". congrès de l'ACFAS, Rimouski, Canada, pp n/a, May 1993. PDFview
892. C. Drummond, R. Holte, D. Ionescu. "Accelerating Browsing by Automatically Inferring a User's Search Goal". KBSE, pp 160-167, January 1993. PDFview
893. R. Sutton, S. Whitehead. "Online Learning With Random Representations". International Conference on Machine Learning (ICML), Amherst, MA, USA, (ed: M. Kaufmann), pp 314-321, January 1993. PDFview
894. T. Sanger, R. Sutton, C. Matheus. "Iterative Construction of Sparse Polynomial Approximations". Neural Information Processing Systems (NIPS), Denver, CO, USA, December 1992. view
895. R. Greiner, D. Schuurmans. "Learning Useful Horn Approximations". Knowledge Representation and Reasoning (KR), Cambridge, United States, October 1992. PSview
896. R. Greiner, I. Jurisica. "A Statistical Approach to Solving the EBL Utility Problem". National Conference on Artificial Intelligence (AAAI), July 1992. PSview
897. M. Gluck, P. Glauthier, R. Sutton. "Adaptation of Cue-Specific Learning Rates in Network Models of Human Category Learning". Conference of the Cognitive Science Society (CogSci), pp 540-545, July 1992. view
898. R. Greiner. "Learning Efficient Query Processing Strategies". Principles of Database Systems (PODS), San Diego, pp 33-46, June 1992. PSview
899. R. Holte, T. Mkadmi, R. Zimmer, A. MacDonald. "Translating Theory into Practice: The Agony and the Ecstasy". June 1992. view
900. V. Chaudhri, R. Greiner. "A Formal Analysis of Solution Caching". Canadian Conference on Artificial Intelligence (CAI), Vancouver, May 1992. PDFview
901. R. Greiner. "Probabilistic Hill-Climbing: Theory and Applications". Canadian Conference on Artificial Intelligence (CAI), Vancouver, May 1992. PDFview
902. A. Barto, R. Sutton, C. Watkins. "Sequential decision problems and neural networks". Neural Information Processing Systems (NIPS), Denver, CO, USA, May 1992. view
903. R. Holte, R. Zimmer, A. MacDonald. "When does Changing Representation Improve Problem-Solving Performance ?". May 1992. view
904. R. Greiner. "Learning Near-Optimal Horn Approximations". National Conference on Artificial Intelligence (AAAI), March 1992. view
905. R. Sutton. "Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta". National Conference on Artificial Intelligence (AAAI), January 1992. view
906. A. Gamache, O. Zaiane. "La technologie de la carte à puce et la sécurité". Conférence du CRISP, R.A.M.Q., Quebec City, Canada, pp n/a, January 1992. view
907. P. Clark, R. Holte. "Lazy Partial Evaluation: An Integration of Explanation-Based Generalisation and Partial Evaluation". International Conference on Machine Learning (ICML), pp 82-91, January 1992. view
908. R. Sutton. "Reinforcement Learning Architectures". ISKIT, pp 211-216, January 1992. PDFview
909. A. Gamache, P. Ardouin, O. Zaiane. "Design constrains and implementation of a PMR smartcard based software". ACT, Toronto, Canada, pp n/a, November 1991. PDFview
910. R. Greiner, C. Elkan. "Measuring and Improving the Effectiveness of Representations". International Joint Conference on Artificial Intelligence (IJCAI), Sydney, Australia, August 1991. PSview
911. R. Greiner, P. Orponen. "Probably Approximately Optimal Derivation Strategies". Knowledge Representation and Reasoning (KR), Boston, April 1991. PDFview
912. R. Sutton. "Dyna, an Integrated Architecture for Learning, Planning and Reacting". National Conference on Artificial Intelligence (AAAI), pp 160-163, January 1991. PDFview
913. R. Sutton. "Reinforcement Learning Architectures for Animats". Conference on Simulation of Adaptive Behavior (CSAB), January 1991. view
914. R. Sutton, A. Barto, R. Williams. "Reinforcement Learning is Direct Adaptive Optimal Control". American Control Conference (ACC), January 1991. view
915. P. Orponen, R. Greiner. "On the Sample Complexity of Finding Good Search Strategies". Conference on Learning Theory (COLT), pp 352-58, August 1990. PDFview
916. R. Holte. "Efficient Candidate Elimination Through Test Incorporation". Change of Representation and Inductive Bias, June 1990. view
917. S. Whitehead, R. Sutton, D. Ballard. "Advances in Reinforcement Learning and Their Implications for Intelligent Control". IEEE, pp 1289-1297, January 1990. view
918. R. Sutton. "Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming". International Conference on Machine Learning (ICML), Austin, Texas, USA, pp 216-224, January 1990. PDFview
919. C. Anderson, J. Franklin, R. Sutton. "Learning a Nonlinear Model of a Manufacturing Process Using Multilayer Connectionist Networks". IEEE, pp 404-409, January 1990. PDFview
920. R. Holte, L. Acker, B. Porter. "Concept Learning and the Problem of Small Disjuncts". International Joint Conference on Artificial Intelligence (IJCAI), Detroit, Michigan, USA, pp 813-818, August 1989. view
921. R. Greiner, J. Likuski. "Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL". International Joint Conference on Artificial Intelligence (IJCAI), Detroit, Michigan, USA, pp 744-749, August 1989. PDFview
922. P. Caines, R. Greiner, S. Wang. "Dynamical Logic Observers for Finite Automata". International Symposium on the Mathematical Theory of Networks and Systems (MNTS), Amsterdam, The Netherlands, June 1989. PDFview
923. D. Schuurmans, J. Schaeffer. "Some diffculties with classifer representations". International Conference on Genetic Algorthms, June 1989. view
924. J. Franklin, R. Sutton, C. Anderson. "Application of Connectionist Learning Methods to Manufacturing Process Monitoring". IEEE, pp 709-712, January 1989. PDFview
925. R. Sutton. "Artificial Intelligence as a Control Problem: Comments on the Relationship Between Machine Learning and Intelligent Control". IEEE, January 1989. PDFview
926. P. Caines, R. Greiner, S. Wang. "On (Default) Logic Observers for Finite Automata". Conference on Information Sciences and Systems, pp 50-56, March 1988. view
927. D. Schuurmans. "Learning with classifier systems". Canadian Information Processing Society, June 1987. view
928. R. Sutton, A. Barto. "A Temporal-Difference Model of Classical Conditioning". Conference of the Cognitive Science Society (CogSci), pp 355-378, January 1987. view
929. R. Sutton. "Two problems with backpropagation and other steepest-descent learning procedures for networks". Conference of the Cognitive Science Society (CogSci), pp 823-831, May 1986. view
930. J. Moore, J. Desmond, N. Berthier, D. Blazis, R. Sutton, A. Barto. "Connectionist learning in real time: Sutton-Barto adaptive element and classical conditioning of the nictitating membrane response". Conference of the Cognitive Science Society (CogSci), pp 318-322, May 1985. view
931. R. Sutton, B. Pinette. "The learning of world models by connectionist networks". Conference of the Cognitive Science Society (CogSci), pp 54-64, May 1985. view
932. O. Selfridge, R. Sutton, A. Barto. "Training and tracking in robotics". International Joint Conference on Artificial Intelligence (IJCAI), pp 670-672, May 1985. PDFview
933. R. Greiner, M. Genesereth. "What's New? A Semantic Definition of Novelty". International Joint Conference on Artificial Intelligence (IJCAI), pp 450-54, August 1983. PDFview
934. R. Greiner, D. Lenat. "A Representation Language Language". National Conference on Artificial Intelligence (AAAI), Stanford, USA, August 1980. view
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