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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
10. | A. Trabelsi, O. Zaiane. "Mining Contentious Documents". Knowledge and Information Systems, 48(3), pp 537-560, September 2016. |
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. |
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. |
13. | F. Allen, R. Greiner, D. Wishart. "CFM-ID applied to CASMI 2014". Current Metabolomics, 5(1), pp 35-39, June 2016. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
43. | N. Sturtevant, S. Rabin. "Canonical Orderings on Grids". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 683-689, July 2016. |
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. |
45. | N. Sturtevant, J. Chen. "External Memory Bidirectional Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Subbarao Kambhampati), pp 676-682, July 2016. |
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. |
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. |
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. |
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. |
50. | R. Goebel. "Why visualization is an AI-complete problem (and why that matters)". Information Visualization, pp 27-32, July 2016. |
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. |
52. | M. Guzdial, M. Riedl. "Learning to Blend Computer Game Levels". International Conference on Computational Creativity (ICCC), (ed: François Pachet, AmÃlcar Cardoso, Vincent Corruble, Fiammetta Ghedini), pp 354-362, June 2016. |
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. |
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. |
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. |
56. | M. Jabbar, O. Zaiane. "Learning Statistically Significant Contrast Sets". Canadian Conference on Artificial Intelligence, May 2016. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
In Workshop
70. | J. Wen, N. Hassanpour, R. Greiner. "Weighted Gaussian Process for Estimating Treatment Effect". December 2016. |
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. |
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. |
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. |
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. |
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. |
76. | M. Machado, M. Bowling. "Learning purposeful behaviour in the absence of rewards". Workshop on Abstraction in Reinforcement Learning, June 2016. |
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. |
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. |
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. |
Other Categories
80. | L. Kumar. "Survival Prediction using Gene Expression Data - A Topic Modeling Approach". MSc Thesis, Computing Science, Thesis, December 2016. |
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. |
82. | J. Wright, K. Leyton-Brown. "Models of Level-0 Behavior for Predicting Human Behavior in Games". September 2016. |
83. | J. Wright. "Modeling human behavior in strategic settings". PhD Thesis, August 2016. |
84. | K. Yoshizoe, M. Müller. "Computer Go". Encyclopedia of Computer Graphics and Games, Springer International, (ed: N. Lee), pp 1-13, February 2016. |
85. | F. Allen. "Competitive Fragmentation Modeling of Mass Spectra for Metabolite Identification". PhD Thesis, January 2016. |
86. | B. Sen. "Generalized Prediction Model for Detection of Psychiatric Disorders". MSc Thesis, University of Alberta, January 2016. |
87. | Z. Shi. "Learning to predict the sites of metabolism and metabolic endpoints". MSc Thesis, University of Alberta, January 2016. |