Not Logged In



Publications in 2016

In Journal (refereed)

1. J. Hu, T. Luo, X. Su, J. Dong, W. Tong, R. Goebel, Y. Xu, G. Lin. "Machine scheduling with a maintenance interval and job delivery coordination". Optimization Letters, 10(8), pp 1645-1656, December 2016. PDFview
2. A. Narasimhan, S. Ghosh, C. Stretch, R. Greiner, O. Bathe, V. Baracos, S. Damaraju. "Small RNAome profiling from human skeletal muscle: Novel miRNAs and their targets associated with cancer cachexia ". Journal of Cachexia, Sarcopenia and Muscle, 8(3), pp 405-416, December 2016. PDFview
3. Y. Djoumbou Feunang, R. Eisner, C. Knox, L. Chepelev, J. Hastings, G. Owen, E. Fahy, C. Steinbeck, S. Subramanian, E. Bolton, R. Greiner, D. Wishart. "ClassyFire: automated chemical classification with a comprehensive, computable taxonomy". Journal Of Cheminformatics, 8, pp 61, November 2016. view
4. S. Ghiassian, P. Jin, M. Brown, R. Greiner. "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism". PLoS One, 11(12), pp e0166934, November 2016. view
5. A. Edwards, M. Dawson, J. Hebert, C. Sherstan, R. Sutton, K. Chan, P. Pilarski. "Application of Real-time Machine Learning to Myoelectric Prosthesis Control: A Case Series in Adaptive Switching". Prosthetics and Orthotics International, 40(5), pp 573–581, October 2016. PDFview
6. K. Aggarwal, A. Hindle, F. Timbers, E. Stroulia, T. Rutgers, R. Greiner. "Detecting Duplicate Bug Reports using a Hierarchy of Domain Knowledge Contexts". Journal of Software: Evolution and Process, 29(3), pp 1-15, October 2016. PDFview
7. J. Li, A. Adilmagambetov, M. Jabbar, O. Zaiane. "On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancer". Geoinformatica, 20(4), pp 651-692, October 2016. view
8. N. Sturtevant, V. Bulitko. "Scrubbing During Learning in Real-Time Heuristic Search". Journal of Artificial Intelligence Research (JAIR), 57, pp 307-343, October 2016. view
9. R. Vega, T. Sajed, K. Mathewson, K. Khare, P. Pilarski, R. Greiner, G. Sanchez-Ante, J. Antelis. "Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals". Artificial Intelligence Research, 6(1), pp 37-51, September 2016. PDFview
10. A. Trabelsi, O. Zaiane. "Mining Contentious Documents". Knowledge and Information Systems, 48(3), pp 537-560, September 2016. PDFview
11. R. Ramasubbu, M. Brown, F. Cortese, I. Gaxiola, A. Greenshaw, S. Dursun, B. Goodyear, R. Greiner. "Accuracy of Automated Classification of Major Depressive Disorder as a Function of Symptom Severity". NeuroImage: Clinical, 12, pp 320-331, July 2016. PDFview
12. F. Allen, A. Pon, R. Greiner, D. Wishart. "Computational prediction of electron ionization mass spectra to assist in GC-MS compound identification". Analytical Chemistry, 88(15), pp 7689-7697, July 2016. PDFview
13. F. Allen, R. Greiner, D. Wishart. "CFM-ID applied to CASMI 2014". Current Metabolomics, 5(1), pp 35-39, June 2016. view
14. J. Günther, P. Pilarski, H. Shen, K. Diepold. "Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning". Mechatronics, 34, March 2016. view
15. R. Sutton, A. Mahmood, M. White. "An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning". Journal of Machine Learning Research (JMLR), (ed: Shie Mannor), 17(73), pp 1-29, January 2016. view
16. W. Tong, R. Goebel, G. Lin. "Smoothed heights of tries and patricia tries". Theoretical Computer Science, 609(Part 3), pp 620-626, January 2016. PDFview
17. H. Seije, A. Mahmood, P. Pilarski, M. Machado, R. Sutton. "True Online Temporal-Difference Learning". Journal of Machine Learning Research (JMLR), 17(145), pp n/a, January 2016. PDFview

In Conference (refereed)

18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. N. Sturtevant, S. Rabin. "Canonical Orderings on Grids". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 683-689, July 2016. PDFview
44. 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
45. N. Sturtevant, J. Chen. "External Memory Bidirectional Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 676-682, July 2016. PDFview
46. 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
47. 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
48. 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
49. 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
50. R. Goebel. "Why visualization is an AI-complete problem (and why that matters)". Information Visualization, pp 27-32, July 2016. PDFview
51. 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
52. 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
53. 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
54. 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
55. 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
56. M. Jabbar, O. Zaiane. "Learning Statistically Significant Contrast Sets". Canadian Conference on Artificial Intelligence, May 2016. PDFview
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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

In Workshop

70. J. Wen, N. Hassanpour, R. Greiner. "Weighted Gaussian Process for Estimating Treatment Effect". December 2016. PDFview
71. V. Veeriah, P. Pilarski, R. Sutton. "Face valuing: Training user interfaces with facial expressions and reinforcement learning". Workshop on Interactive Machine Learning, July 2016. view
72. C. Xiao, M. Müller. "Integrating Factorization Ranked Features in MCTS: an Experimental Study". Workshop on Computer Games (CGW), Springer, Cham, (ed: Cazenave T., Winands M., Edelkamp S., Schiffel S., Thielscher M., Togelius J.), 705, pp 34-43, July 2016. view
73. K. Mathewson, P. Pilarski. "Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning". Workshop on Interactive Machine Learning, July 2016. view
74. W. Tong, E. Miyano, R. Goebel, G. Lin. "A PTAS for the Multiple Parallel Identical Multi-stage Flow-Shops to Minimize the Makespan". International Frontiers of Algorithmics Workshop, pp 227-237, June 2016. PDFview
75. D. Chamot, L. Deng, R. Mandal, T. Bjorndahl, S. Ravanbakhsh, J. Grant, M. Wilson, B. Han, A. Serra-Cayuela, E. Dong, R. Greiner, D. Wishart. "Automated kits and software for quantitative metabolomics". Metabolomics Symposium, June 2016. view
76. M. Machado, M. Bowling. "Learning purposeful behaviour in the absence of rewards". Workshop on Abstraction in Reinforcement Learning, June 2016. PDFview
77. D. Wishart, Y. Djoumbou Feunang, C. Knox, T. Sajed, F. Allen, Y. Liu, Z. Shi, Z. Budinski, R. Greiner. "New Bioinformatic Tools for Metabolomics". Metabolomics Symposium, June 2016. view
78. Y. Xu, P. Martinez-Gomez, Y. Miyao, R. Goebel. "Paraphrase for Open Question Answering:New Dataset and Methods". Workshop on Human-Machine Question Answer, pp n/a, June 2016. view
79. N. Sturtevant. "Challenges and Progress on Using Large Lossy Endgame Databases in Chinese Checkers". Workshop on Computer Games (CGW), (ed: Cazenave T., Winands M., Edelkamp S., Schiffel S., Thielscher M., Togelius J.), pp 3-15, May 2016. view

Other Categories

80. L. Kumar. "Survival Prediction using Gene Expression Data - A Topic Modeling Approach". MSc Thesis, Computing Science, Thesis, December 2016. PDFview
81. S. ElAtia, D. Ipperciel, O. Zaiane. "Data Mining and Learning Analytics, Applications in Educational Research". (ed: Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane), September 2016. view
82. J. Wright, K. Leyton-Brown. "Models of Level-0 Behavior for Predicting Human Behavior in Games". September 2016. PDFview
83. J. Wright. "Modeling human behavior in strategic settings". PhD Thesis, August 2016. view
84. K. Yoshizoe, M. Müller. "Computer Go". Encyclopedia of Computer Graphics and Games, Springer International, (ed: N. Lee), pp 1-13, February 2016. view
85. F. Allen. "Competitive Fragmentation Modeling of Mass Spectra for Metabolite Identification". PhD Thesis, January 2016. PDFview
86. B. Sen. "Generalized Prediction Model for Detection of Psychiatric Disorders". MSc Thesis, University of Alberta, January 2016. PDFview
87. Z. Shi. "Learning to predict the sites of metabolism and metabolic endpoints". MSc Thesis, University of Alberta, January 2016. PDFview
University of Alberta Logo AICML Logo