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Publications in 2017

In Journal (refereed)

1. P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, J. Zhang, O. Zaiane. "Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures". Computers in Biology and Medicine, 91, pp 21-37, December 2017. view
2. P. Cao, X. Liu, O. Zaiane, D. Zhao. "Sparse shared structure based multi-task learning for MRI based Cognitive Performance prediction of Alzheimer's disease". Pattern Recognition, 72, pp 219-235, December 2017. view
3. C. Bellinger, M. Jabbar, O. Zaiane, A. Osornio-Vargas. "A Systematic Review of Data Mining and Machine Learning for Air Pollution Epidemiology". BMC Bioinformatics, 17(1), pp 907-926, November 2017. view
4. M. Bowling, N. Burch, M. Johanson, O. Tammelin. "Headsup limit hold’em poker is solved". Communications of the ACM, 60(11), pp 81-88, November 2017. view
5. J. Wright, K. Leyton-Brown. "Predicting Human Behavior in Unrepeated, Simultaneous-Move Games". Games and Economic Behavior, 106, pp 16-37, November 2017. PDFview
6. C. Largeron, P. Mougel, O. Benyahia, O. Zaiane. "DANCer: Dynamic Attributed Networks with Community Structure Generation". Knowledge and Information Systems, 53(1), pp 109-151, October 2017. view
7. R. Holte, A. Felner, G. Sharon, N. Sturtevant, J. Chen. "MM: A Bidirectional Search That Is Guaranteed to Meet in the Middle". Artificial Intelligence (AIJ), 252, pp 232-266, August 2017. PDFview
8. J. Li, O. Zaiane. " Exploiting Statistically Significant Dependent Rules for Associative Classification". Intelligent Data Analysis, 21(5), pp 1155-1172, July 2017. PDFview
9. F. Seyednasrollah, D. Koestler, T. Wang, S. Piccolo, R. Vega, R. Greiner, C. Fuchs, E. Gofer, L. Kumar. "A DREAM Challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer". Journal of Clinical Oncology: Clinical Cancer Informatics, (1), pp 1-15, July 2017. PDFview
10. S. Liang, W. Deng, Q. Wang, M. Li, M. Juhas, X. Li, R. Greiner, A. Greenshaw, T. Li. "Convergence and divergence of neurocognitive patterns in schizophrenia and depression.". Schizophrenia Research, 192, pp 327-334, June 2017. PDFview
11. W. El-Rab, O. Zaiane, M. El-Hajj. "Formalizing Clinical Practice Guidelines for Clinical Decision Support Systems". Health Informatics Journal, 23(2), pp 146-156, June 2017. view
12. A. Yaddolahi, A. Shahraki, O. Zaiane. " Current State of Text Sentiment Analysis from Opinion to Emotion Mining". ACM Computing Surveys, 50(2), pp 1-25, 33, May 2017. PDFview
13. Y. Ye, Z. Wang, D. Jones, L. He, M. Taylor, G. Hollinger, Q. Zhang. "Bin-dog: A robotic platform for bin management in orchards". Robotics, 6(2), May 2017. view
14. M. Moravcík, M. Schmid, N. Burch, V. Lisy, D. Morrill, N. Bard, T. Davis, K. Waugh, M. Johanson, M. Bowling. "Deepstack: Expert-level artificial intelligence in heads-up no-limit poker". Science, 356(6337), pp 508-513, May 2017. view
15. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, A. Greenshaw, R. Ramasubbu, S. Dursun. "Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms". Nature Schizophrenia, 3, pp 22, May 2017. PDFview
16. P. Cao, X. Liu, J. Yang, D. Zhao, W. Li, M. Huang, O. Zaiane. "A Multi-kernel based framework for heterogeneous feature selection and oversampling for computer-aided detection of pulmonary nodules". Pattern Recognition, 64, pp 327-346, April 2017. view
17. P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "L2,1-norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification". Neurocomputing, 234(C), pp 38-57, April 2017. view
18. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, P. Polosecki, S. Dursun. "Learning Discriminative Functional Network Features of Schizophrenia". SPIE Medical Imaging, pp 101371A, April 2017. PDFview
19. P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "A L2,1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD". Computer Methods and Programs in Biomedicine, 140(C), pp 211-231, March 2017. view
20. R. Wang, A. Wang, T. Syed, O. Zaiane. "Scalable Local Community Detection with MapReduce for Large Networks". International Journal of Data Mining and Knowledge Management Process, 7(2), pp 25-49, March 2017. view
21. E. Ryan, J. Holland, E. Stroulia, B. Bazelli, S. Babwik, H. Li, P. Senior, R. Greiner. "Improved A1C Levels in Type 1 Diabetes with Smartphone App Use". Canadian Journal of Diabetes, 41(1), pp 33-40, February 2017. PDFview
22. F. Ren, P. Cao, W. Li, D. Zhao, O. Zaiane. "Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm". Computerized Medical Imaging and Graphics, 55, pp 54-67, January 2017. view
23. J. Guinney, T. Wang, P. DREAM Community, R. Greiner, R. Vega, L. Kumar, J. Patel. "Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowd-sourced challenge with open clinical trial data.". Lancet Oncology, 18(1), pp 132-142, January 2017. PDFview

In Conference (refereed)

24. H. Babiker, R. Goebel. "An Introduction to Deep Visual Explanation. Computing Research Repository (CoRR)". Neural Information Processing Systems (NIPS), December 2017. view
25. 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
26. S. Prabhakar, O. Zaiane. "Learning Group Formation for Massive Open Online Courses (MOOCs)". International Conference on Educational Technologies, Sydney, Australia, December 2017. PDFview
27. 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
28. H. Babiker, R. Goebel. "Using KL-divergence to Focus Deep Visual Explanation. Computing Research Repository (CoRR)". Neural Information Processing Systems (NIPS), December 2017. view
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. J. Li, L. Wu, O. Zaiane, H. Liu. "Toward Personalized Relational Learning". SIAM International Conference on Data Mining, Houston, USA, May 2017. PDFview
62. 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
63. 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
64. 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
65. K. Mathewson, P. Pilarski. "Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception". AAAI Spring Symposium, March 2017. PDFview
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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

In Workshop

73. M. Guzdial, M. Riedl. "Combinatorial Meta Search". Machine Learning Creativity and Design (MLCD), December 2017. view
74. J. Dakka, P. Bashivan, M. Gheiratmand, I. Rish, S. Jha, R. Greiner. "Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks". NIPS workshop on Machine Learning for Health, abs/1712.00512, pp 6, December 2017. PDFview
75. N. Hassanpour, R. Greiner. "A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits [wkshp]". NIPS 2017 Workshop on Causal Inference and Machine Learning (WhatIF2017), November 2017. PDFview
76. M. Guzdial, J. Chen, S. Chen, M. Riedl. "Learning Player Tailored Content from Observation: Platformer Level Generation from Video Traces using LSTMs". Experimental AI in Games (EXAG), October 2017. view
77. S. Chan, M. Jahromi, B. Benetti, A. Lakhani, A. Fyshe. "Ensemble Methods for Native Language Identi fication". Workshop on Innovative Use of NLP for Building Educational Applications, September 2017. view
78. N. Sturtevant, A. Saffidine. "A Study of Forward Versus Backwards Endgame Solvers with Results in Chinese Checkers". Computer Games Workshop, (ed: Tristan Cazenave, Mark H. M. Winands, Abdallah Saffidine), pp 121-136, August 2017. view
79. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, A. Greenshaw, S. Dursun. "Functional Network Patterns as Multivariate Predictors of Symptom Severity in Schizophrenia". 23nd Annual Meeting of the Organization for Human Brain Mapping, pp n/a, June 2017. view
80. M. Guzdial, D. Long, C. Cassion, A. Das. "Visual Procedural Content Generation with an Artificial Abstract Artist". Computational Creativity in Games (CCG), June 2017. view
81. V. Lisy, M. Bowling. "Equilibrium approximation quality of current no-limit poker bots". Workshop on Computer Poker and Imperfect Information Games, WS-17, February 2017. view

Other Categories

82. B. Murphy, L. Wehbe, A. Fyshe. "Decoding Language from the Brain". Language, Cognition, and Computational Models, Cambridge University Press, (ed: T. Poibeau & A. Villavicencio), pp 53-80, November 2017. view
83. N. Borle. "The Challenge of Predicting Future Blood Glucose for Patients with Type I Diabetes". MSc Thesis, University of Alberta, November 2017. PDFview
84. "Digital Economy. Emerging Technologies and Business Innovation". Lecture Notes in Business Information Processing, Springer Verlag, (ed: Rim Jallouli, Osmar R. Zaiane, Mohamed Anis Bach Tobji, Rym Srarfi Tabbane, Anton Nijholt), 290, July 2017. view
85. S. Rabin, N. Sturtevant. "Faster A* with Goal Bounding". Game AI Pro 3: Collected Wisdom of Game AI Professionals, CRC Press, pp 1-20, June 2017. view
86. N. Sturtevant, S. Rabin. "Faster Dijkstra Search on Uniform Cost Grids". Game AI Pro 3: Collected Wisdom of Game AI Professionals, CRC Press, pp 21-40, June 2017. view
87. R. Vega. "The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data". MSc Thesis, University of Alberta, January 2017. PDFview
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