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. |
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. |
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. |
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. |
5. | J. Wright, K. Leyton-Brown. "Predicting Human Behavior in Unrepeated, Simultaneous-Move Games". Games and Economic Behavior, 106, pp 16-37, November 2017. |
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. |
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. |
8. | J. Li, O. Zaiane. " Exploiting Statistically Significant Dependent Rules for Associative Classification". Intelligent Data Analysis, 21(5), pp 1155-1172, July 2017. |
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. |
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. |
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. |
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. |
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. |
14. | M. MoravcÃk, 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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
26. | S. Prabhakar, O. Zaiane. "Learning Group Formation for Massive Open Online Courses (MOOCs)". International Conference on Educational Technologies, Sydney, Australia, December 2017. |
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. |
28. | H. Babiker, R. Goebel. "Using KL-divergence to Focus Deep Visual Explanation. Computing Research Repository (CoRR)". Neural Information Processing Systems (NIPS), December 2017. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
61. | J. Li, L. Wu, O. Zaiane, H. Liu. "Toward Personalized Relational Learning". SIAM International Conference on Data Mining, Houston, USA, May 2017. |
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. |
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. |
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. |
65. | K. Mathewson, P. Pilarski. "Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception". AAAI Spring Symposium, March 2017. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
In Workshop
73. | M. Guzdial, M. Riedl. "Combinatorial Meta Search". Machine Learning Creativity and Design (MLCD), December 2017. |
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. |
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. |
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. |
77. | S. Chan, M. Jahromi, B. Benetti, A. Lakhani, A. Fyshe. "Ensemble Methods for Native Language Identification". Workshop on Innovative Use of NLP for Building Educational Applications, September 2017. |
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. |
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. |
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. |
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. |
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. |
83. | N. Borle. "The Challenge of Predicting Future Blood Glucose for Patients with Type I Diabetes". MSc Thesis, University of Alberta, November 2017. |
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. |
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. |
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. |