Not Logged In



Publications in Category "In Workshop"

1. A. Konar, C. Huang, A. Trabelsi, O. Zaiane. "ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION) ". Workshop on Semantic Evaluation, pp 367–373, December 2020. PDFview
2. C. Huang, A. Trabelsi, O. Zaiane. "ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)". International Workshop on Semantic Evaluation (SemEval), June 2020. PDFview
3. C. Xiao, Y. Wu, D. Schuurmans, M. Müller. "Adaptive Planning Horizon for Model-Based Reinforcement Learning". NeurIPS Deep RL Workshops, December 2019. view
4. N. Hassanpour, R. Greiner. "Learning Disentangled Representations for CounterFactual Regression". NeurIPS Workshop on Causal ML, December 2019. PDFview
5. C. Xiao, Y. Wu, C. Ma, D. Schuurmans, M. Müller. "Learning to Combat Compounding-Error in Model-Based Reinforcement Learning". NeurIPS Deep RL Workshops, December 2019. PDFview
6. Z. Zhang, Q. Lan, L. Ding, Y. Wang, N. Hassanpour, R. Greiner. "Reducing Selection Bias in Counterfactual Reasoning". NeurIPS Workshop on Causal ML, December 2019. PDFview
7. P. Cao, Z. Teng, M. Huang, J. Yang, D. Zhao, A. Trabelsi, O. Zaiane. "An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction". International Workshop on Biomedical and Health Informatics, (ed: Illhoi Yoo, Jinbo Bi, Xiaohua Hu), pp 1436-1442, November 2019. PDFview
8. S. Shah, M. Guzdial, M. Riedl. "Automated Let’s Play Commentary". Experimental AI in Games (EXAG), October 2019. view
9. N. Dziri, E. Kamalloo, K. Mathewson, O. Zaiane. "Augmenting Neural Response Generation with Context-Aware Topical Attention". ACL Workshop on NLP for Conversational AI, pp 18-31, July 2019. view
10. M. Guzdial, N. Liao, M. Riedl. "An Interaction Framework for Studying Co-Creative AI". Human-Centered Machine Learning Perspectives (HCMLP), May 2019. view
11. N. Sturtevant. "Exploring EPCG in The Witness". Knowledge Extraction from Games (KEG), pp 58-63, January 2019. PDFview
12. S. Huang, M. Zambelli, Y. Tassa, J. Kay, M. Martins, P. Pilarski, R. Hadsell. "Achieving Gentle Manipulation with Deep Reinforcement Learning". Deep Reinforcement Learning Workshop, pp 1-11, December 2018. view
13. S. Huang, M. Zambelli, Y. Tassa, J. Kay, M. Martins, P. Pilarski, R. Hadsell. "Leveraging Physical Models for Gentle Manipulation". Modeling the Physical World: Perception, Learning, and Control, pp 1-4, December 2018. view
14. M. Guzdial, N. Liao, M. Riedl. "Co-Creative Level Design via Machine Learning". Experimental AI in Games (EXAG), November 2018. view
15. M. Guzdial, J. Reno, J. Chen, G. Smith, M. Riedl. "Explainable PCGML via Game Design Patterns". Experimental AI in Games (EXAG), November 2018. view
16. A. Hiebert, C. Peterson, A. Fyshe, N. Mehta. "Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models". BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pp 258–266, November 2018. PDFview
17. M. Guzdial, S. Shah, M. Riedl. "Towards Automated Let’s Play Commentary". Experimental AI in Games (EXAG), November 2018. view
18. R. Vega, R. Greiner. "Finding Effective Ways to (Machine) Learn fMRI-based Classifiers from Multi-Site Data". Machine Learning in Clinical Neuroimaging (MLCN), Springer, Cham, (ed: Stoyanov D. et al.), 11038, pp 32-39, October 2018. PDFview
19. L. Kumar, R. Greiner. "Survival prediction using microarray data - A topic modeling approach". Workshop on Computational Frameworks for Personalization, October 2018. view
20. C. Foster, D. Dharmaretnam, H. Xu, A. Fyshe, G. Tzanetakis. "Decoding Music in the Human Brain using EEG Data". International Workshop on Multimedia Signal Processing (MMSP), August 2018. PDFview
21. F. Haqiqat, M. Müller. "Analyzing the impact of knowledge and search in Monte Carlo Tree Search in Go". Workshop on Computer Games (CGW), Springer, 1017, pp 127-146, July 2018. view
22. N. Hassanpour, R. Greiner. "CounterFactual Regression with Importance Sampling Weights". ICML 2018 CausalML: Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, pp n/a, July 2018. PDFview
23. C. Sherstan, J. MacGlashan, P. Pilarski. "Generalizing Value Estimation over Timescale". FAIM Workshop on Prediction and Generative Modeling in Reinforcement Learning, July 2018. view
24. C. Sherstan, M. Machado, P. Pilarski. "Incrementally Added GVFs are Learned Faster with the Successor Representation". FAIM Workshop on Prediction and Generative Modeling in Reinforcement Learning, July 2018. view
25. Z. Holland, E. Talvitie, M. Bowling. "The effect of planning shape on dyna-style planning in high-dimensional state spaces". Workshop on Prediction and Generative Modeling in Reinforcement Learning, July 2018. PDFview
26. S. Chan, A. Fyshe. "Social and Emotional Correlates of Capitalization on Twitter". PEOPLES Workshop, June 2018. view
27. M. Guzdial, M. Riedl. "Combinatorial Creativity for Procedural Content Generation via Machine Learning". Knowledge Extraction from Games (KEG), February 2018. view
28. M. Guzdial, M. Riedl. "Combinatorial Meta Search". Machine Learning Creativity and Design (MLCD), December 2017. view
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. J. Wen, N. Hassanpour, R. Greiner. "Weighted Gaussian Process for Estimating Treatment Effect". December 2016. PDFview
38. 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
39. 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
40. 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
41. 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
42. 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
43. M. Machado, M. Bowling. "Learning purposeful behaviour in the absence of rewards". Workshop on Abstraction in Reinforcement Learning, June 2016. PDFview
44. 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
45. 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
46. 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
47. M. Kim, R. Goebel, K. Satoh. "COLIEE-2015: Evaluation of Legal Question Answering". International Workshop on Juris-informatics (JURISIN), November 2015. view
48. P. Pilarski, R. Sutton, K. Mathewson. "Prosthetic Devices as Goal-Seeking Agents". Present and Future of Non-invasive Peripheral-Nervous-System Machine Interfaces: Progress in Restori, August 2015. view
49. M. Guzdial, M. Riedl. "Toward Game Level Generation from Gameplay Videos". Procedural Content Generation in Games (PCG), (ed: Staffan Björk, Casey O'Donnell, Rafael Bidarra), August 2015. view
50. 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". International Frontiers of Algorithmics Workshop, pp n/a, July 2015. view
51. W. Chen, M. Müller. "Continuous Arvand: Motion Planning with Monte Carlo Random Walks". Workshop on Planning and Robotics, pp 23-34, June 2015. PDFview
52. R. Rabbany, O. Zaiane. "Evaluation of Community Mining Algorithms in the Presence of Attributes". International Workshop on Quality issues, measures of interestingness and evaluation of data mining , May 2015. view
53. P. Jin, R. Greiner, M. Wei, G. Haeubl. "Using Survival Prediction Techniques to Learn Consumer-Specific Reservation Price Distributions". NIPS Workshop on Transactional Machine Learning and E-Commerce, pp n/a, December 2014. view
54. R. Rabbany, O. Zaiane, S. ElAtia. "Mining Large Scale Data from National Educational Achievement Test". KDD Workshop on Data Mining for Educational Assessment and Feedback, August 2014. PDFview
55. S. Khan, R. Greiner. "The Budgeted Biomarker Discovery Problem: A Variant of Association Studies". AAAI Workshop on Modern Artificial Intelligence for Health Analytics (MAIHA), AAAI, (ed: Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens), WS-14-08, pp n/a, June 2014. PDFview
56. A. Trabelsi, O. Zaiane. "Finding Arguing Expressions of Divergent Viewpoints in Online Debates". Language Analysis for Social Media , pp 35-43, April 2014. view
57. M. Hajiloo, R. Greiner. "Assessing the Feasibility of Learning Biomedical Phenotypes via Large Scale Omics Profiles". Neural Information Processing Systems Workshop on Machine Learning in Computational Biology, pp n/a, December 2013. view
58. S. Khan, R. Greiner. "Finding Discriminatory Genes: A methodology for validating microarray studies". Data Mining for Biomedical Applications (BioDM), IEEE, pp 64-71, December 2013. PDFview
59. S. Mohajeri, A. Esteki, O. Zaiane, D. Rafiei. "Innovative Navigation of Health Discussion Forums based on Relationship Extraction and Medical Ontologies". International Workshop on Biomedical and Health Informatics, pp 676-677, December 2013. PDFview
60. S. Ghiassian, R. Greiner, M. Brown, P. Jin. "Learning to Classify Psychiatric Disorders based on fMR Images: Autism vs Healthy and ADHD vs Healthy". Proceedings of the Workshop on Machine Learning and Interpretation in Neuroimaging, pp n/a, December 2013. PDFview
61. M. Shu, A. Fyshe. "Sparse Autoencoders for Word Decoding from Magnetoencephalography". NIPS Workshop on Machine Learning and Interpretation in NeuroImaging, December 2013. view
62. S. Ravanbakhsh, R. Greiner, B. Frey. "Training Restricted Boltzmann Machines by Perturbation". NIPS 2013 Workshop: Perturbations, Optimization and Statistics, abs/1405.1436, pp n/a, December 2013. PDFview
63. N. Sturtevant. "An Argument for Large-Scale Breadth-First Search for Game Design and Content Generation via a Case Study of Fling!". AI in the Game Design Process, pp 28-33, October 2013. view
64. R. Tso, P. Gillevet, L. Dieleman, K. Rioux, G. Kaplan, B. Herman, P. Koleva, R. Valcheva, E. Kuenzig, K. Madsen, R. Greiner. "Distinctive Urinary Metabolite Profiles Correlate With Microbial Composition and Are Linked With Endoscopic Post-Operative Disease Recurrence in Crohn's Disease Patients". September 2013. view
65. M. Roschke, N. Sturtevant. "UCT Enhancements in Chinese Checkers Using an Endgame Database". Workshop on Computer Games (CGW), August 2013. view
66. U. Das Gupta, S. Sriram, S. Sharma, R. Greiner. "Learning Markov Networks with Bounded Inference Complexity". Interactions between Inference and Learning, June 2013. PDFview
67. J. Zhang, D. Gross, O. Zaiane. "On the application of multi-class classification in physical therapy recommendation". Workshop on Data Analytics for Targeted Healthcare, April 2013. PDFview
68. R. Rabbany, O. Zaiane. "A Diffusion of Innovation-Based Closeness Measure for Network Associations". COMMPER Workshop on Mining Communities and People Recommenders, December 2011. view
69. H. Samuel, O. Zaiane. "HCMS: Conceptual Description of a Health Content Management System". International Workshop on Software Engineering in Health Care, pp 17-23, May 2011. PDFview
70. S. V, R. Greiner, D. Wishart, M. Bastani. "Learning Predictors by Integrating Multiple Microarray Datasets ". RECOMB Satellite Workshop: Computational Cancer Biology, February 2011. view
71. M. Kim, O. Zaiane, R. Goebel. "Natural Language Watermarking Based on Syntactic Displacement and Morphological Division". International Workshop on Security, Trust, and Privacy for Software Applications, pp 164-169, July 2010. PDFview
72. R. Rabbany, J. Chen, O. Zaiane. "Top Leaders Community Detection Approach in Information Networks". SNA-KDD Workshop on Social Network Mining and Analysis, July 2010. view
73. N. Desai, D. Szafron, L. Sayegh, R. Greiner, G. Turecki. "Creating Video Games to Treat Chronic Depression". May 2010. PDFview
74. T. Zhu, R. Greiner, B. Hu. "LILAC -- Learn from Internet: Log, Annotation, and Content". March 2009. PDFview
75. Y. Li, L. Cheng, D. Schuurmans. "Inference of the structural credit risk model using MLE". IEEE Symposium on Computational Intelligence for Financial Engineering, February 2009. view
76. A. Foss, O. Zaiane. "Estimating True and False Positive Rates in Higher Dimensional Problems and its Data Mining Applications". Foundations of Data Mining Workshop, pp 673-681, December 2008. PDFview
77. V. Jazayeri, O. Zaiane. "Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences". Workshop on Mining Complex Data, pp 228-237, December 2008. PDFview
78. Y. Li, D. Schuurmans. "Policy iteration for learning an exercise policy for American options". European Workshop on Reinforcement Learning, July 2008. view
79. Y. Li, D. Schuurmans. "Learning exercise policies for American options". International Symposium on Financial Engineering, February 2008. view
80. S. Mihov, P. Mitankin, A. Gotscharek, U. Reffle, K. Schulz, C. Ringlstetter. "Tuning the Selection of Correction Candidates for Garbled Tokens using Error Dictionaries". Finite-State Techniques and Approximate Search, February 2008. PDFview
81. Y. Guo, D. Schuurmans. "Learning Gene Regulatory Networks via Globally Regularized Risk Minimization". RECOMB Satellite Workshop on Comparative Genomics, pp 83-95, September 2007. view
82. O. Zaiane, J. Chen, R. Goebel. "DBConnect: Mining Research Community on DBLP Data". Web Mining and Social Network Analysis Workshop, pp 74-81, August 2007. PDFview
83. A. Murtha, J. Levesque, M. Brown, M. Heydari, J. Sander, M. Jagersand, N. Leong, W. Roa, B. Abdulkarim, D. Fulton, M. Smerdely, R. Greiner. "Development of an image-centered database containing MRI and PET data, and examples of its application in the treatment of glioma patients". Canadian Association of Radiation Oncology, June 2007. view
84. F. Peng, X. Huang, D. Schuurmans, S. Wang. "Text classification in Asian languages without word segmentation". International Workshop on Information Retrieval with Asian Languages, June 2007. PDFview
85. R. Sutton. "Learning distributed, searchable, internal models". Distributed Artificial Intelligence Workshop, May 2007. view
86. N. Young, K. Jewell, D. Block, C. Knox, P. Tang, R. Greiner, D. Wishart. "MetaboLIMS: A General Laboratory Information Management System for Metabolomics". Metabolomics Symposium, October 2006. view
87. J. Patterson, L. Pireddu, D. Szafron, P. Lu, R. Greiner. "Pathway Analyst - Automated Metabolic Pathway Prediction". Metabolomics Symposium, October 2006. view
88. R. Eisner, C. Knox, R. Greiner, D. Wishart. "Predicting Chemical Properties of Small Molecules". Metabolomics Symposium, October 2006. view
89. J. Wagner, R. Greiner, V. Baracos, C. Prado, A. McGeer, T. Marrie, L. Nikolai, M. Lewis, M. Coutouly, D. Wishart. "Using Metabolomic Profiles to Diagnose Patients". Metabolomics Symposium, October 2006. view
90. N. Young, K. Jewell, D. Block, C. Knox, P. Tang, R. Greiner, D. Wishart. "MetaboLIMS: A General Laboratory Information Managment System for Metabolomics". Metabolomics Society Meeting, June 2006. view
91. D. Wishart, L. Li, R. Greiner, T. Marrie, B. Sykes, F. Bamforth, H. Vogel, L. Querengesser. "Metabolomics and the Human Metabolome Project". June 2006. view
92. J. Kay, N. Maisonneuve, K. Yacef, O. Zaiane. "Mining Patterns of Events in Students' Teamwork Data". Educational Data Mining Workshop, June 2006. PDFview
93. O. Zaiane, Y. Wang, R. Goebel, G. Taylor. "Frequent subsequence-based protein localization". Data Mining for Biomedical Applications (BioDM), 3916, pp 35-47, April 2006. PDFview
94. S. Wang, R. Greiner, D. Schuurmans, L. Cheng, S. Wang. "Integrating Trigram, PCFG and LDA for Language Modeling via Directed Markov Random Fields". NIPS Workshop on Bayesian Methods for Natural Language Processing, December 2005. view
95. R. Greiner. "Using Value of Information to Learn and Classify under Hard Budgets". Value of Information in Inference, Learning and Decision-Making, Whistler, B.C., Canada, December 2005. PDFview
96. J. Dufour, W. Wang, C. Cass, R. Greiner, J. Mackey, S. Damaraju. "Analysis of Single Nucleotide Polymorphisms in Candidate Genes and Application of Machine Learning Techniques for assessing Susceptibility to Breast Cancer in Alberta Women". ACB Annual Research Meeting, Banff, November 2005. PPTview
97. W. Wang, S. Damaraju, C. Cass, G. Fallone, M. Parliament, R. Greiner. "Analysis of Single Nucleotide Polymorphisms in Candidate Genes and Application of Machine Learning Techniques to Predict Radiation Toxicity in Prostate Cancer Patients Treated with Conformal Radiotherapy". ACB Annual Research Meeting, Banff, November 2005. PPTview
98. B. Price, G. Haeubl, R. Greiner. "Automatic Construction of Personalized Customer Interfaces". 2005 International Workshop on Customer Relationship Management, November 2005. view
99. R. Isukapalli, A. Elgammal, R. Greiner. "Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression". IEEE International Workshop on Analysis and Modeling of Faces and Gestures, Springer, pp 70-84, October 2005. PDFview
100. C. Lee, M. Schmidt, A. Murtha, A. Bistritz, J. Sander, R. Greiner. "Segmenting Brain Tumor with Conditional Random Fields and Support Vector Machines". Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, Springer, (ed: Liu, Yanxi; Jiang, Tianzi; Zhang, Changshui), pp 469-478, October 2005. PDFview
101. A. Kapoor, R. Greiner. "Budgeted Learning of Bounded Active Classifiers". Utility-Based Data Mining (UBDM), August 2005. PDFview
102. M. El-Hajj, O. Zaiane. "Implementing Leap Traversals of the Itemset Lattice". Open Source Data Mining Workshop on Frequent Pattern Mining Implementations (OSDM), ACM, pp 16-25, August 2005. PDFview
103. A. Kapoor, R. Greiner. "Reinforcement Learning for Active Model Selection". Utility-Based Data Mining (UBDM), ACM, pp 17-23, August 2005. PDFview
104. T. Zheng, R. Goebel. "An NCM-based Framework for Navigation Recommender Systems". Issues in Designing Physical Agents for Dynamic Real-time Environments, pp 80-86, July 2005. PSview
105. T. Zhu, R. Greiner. "Evaluating an Adaptive Music-Clip Recommender System". Fourth Workshop on the Evaluation of Adaptive Systems, pp 69--73, July 2005. PDFview
106. B. Poulin, D. Szafron, R. Greiner, R. Eisner, P. Lu. "RAMMER: Accelerating Protein Function Prediction". Canadian Proteomics Initiative (CPI), Toronto, Ontario, May 2005. PDFview
107. R. Goebel. "Can Learning achitectures help meet the Challenge of Reality Mining". Knowledge Sharing for Everyday Life, February 2005. view
108. R. Greiner, T. Zhu, G. Haeubl, B. Price, K. Jewell. "A Trustable Recommender System for Web Content". Beyond Personalization, January 2005. PDFview
109. L. Xu, L. Cheng, T. Wang, D. Schuurmans. "Convex hidden Markov models". Workshop on Advances in Structured Learning for Text and Speech Processing (within NIPS), January 2005. view
110. C. Drummond, R. Holte. "Learning to Live With False Alarms". Workshop on "Data Mining Methods for Anomaly Detection", January 2005. view
111. L. Cheng, S. Wang, D. Schuurmans, T. Caelli. "On-line learning with sparse kernels for video analysis". Workshop on Large-Scale Kernel Machines (within NIPS), January 2005. view
112. Z. Guo, J. Schaeffer, D. Szafron, P. Earl. "Using Generative Design Patterns to Develop Network Server Application". High-Level Parallel Programming Models and Supportive Environments, pp 178, January 2005. PDFview
113. S. Oliveira, O. Zaiane. "Privacy-Preserving Clustering by Object Similarity-Based Representation and Dimensionality Reduction Transformation". Workshop on Privacy and Security Aspects of Data Mining (PSDM), pp 21-30, November 2004. PDFview
114. S. Oliveira, O. Zaiane. "Achieving Privacy Preservation When Sharing Data For Clustering". Workshop on Secure Data Management in a Connected World (SDM), 3178, pp 67-82, August 2004. PDFview
115. Y. Wang, O. Zaiane, R. Goebel, J. Southron, U. Basu, R. Whittal, J. Stephens, G. Taylor. "Developing a Database for Proteomic Analysis of Extracytosolic Plant Proteins". International Workshop on Biological Data Management (BIDM), pp 366-370, August 2004. PDFview
116. S. Oliveira, O. Zaiane. "Toward Standardization in Privacy-Preserving Data Mining". Workshop on Data Mining Standards (DM-SSP), pp 7-17, August 2004. PDFview
117. J. Li, O. Zaiane. "Using Distinctive Information Channels for a Mission-based Web Recommender System". Workshop on Webmining and Web Analysis (WebKDD), pp 35-46, August 2004. PDFview
118. L. Li, V. Bulitko, R. Greiner. "Focus of attention in sequential decision making". Learning and Planning in Markov Processes -- Advances and Challenges, pp 43--48, July 2004. PDFview
119. J. Newton, R. Greiner. "Hierarchical Probabilistic Relational Models for Collaborative Filtering". SRL2004: Statistical Relational Learning and its Connections to Other Fields, July 2004. PDFview
120. M. Antonie, O. Zaiane. "An Associative Classifier Based on Positive and Negative Rules". Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD), ACM, pp 64-69, June 2004. PDFview
121. M. El-Hajj, O. Zaiane. "COFI Approach for Mining Frequent Itemsets Revisited". Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD), ACM, pp 70-75, June 2004. PDFview
122. O. Zaiane, J. Chen, L. Sun, R. Goebel. "Visualizing and Discovering Web Navigational Patterns". International Workshop on the Web and Databases, pp 13-18, June 2004. PDFview
123. J. Newton, R. Greiner. "Hierarchical PRMs for Collaborative Filtering". Workshop on Statistical Relational Learning and its Connections to Other Fields, May 2004. view
124. S. MacDonald, D. Szafron, J. Schaeffer. "Rethinking the Pipeline as Object-Oriented States with Transformations". High-Level Parallel Programming Models and Supportive Environments, pp 12-21, January 2004. PDFview
125. L. Li, V. Bulitko, I. Levner. "Learning Distance Metrics". Workshop on Approximate Nearest Neighbors Methods for Learning and Vision, Whistler, British Columbia, December 2003. view
126. M. El-Hajj, O. Zaiane. "COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation". Workshop on Frequent Itemset Mining Implementations (FIMI), pp n/a, November 2003. PDFview
127. M. El-Hajj, O. Zaiane. "Parallel Association Rule Mining with Minimum Inter-Processor Communication". International Workshop on Parallel and Distributed Databases (PaDD), pp 519-523, September 2003. PDFview
128. M. Bowling, B. Browning, A. Chang, M. Veloso. "Plays as Team Plans for Coordination and Adaptation". Issues in Designing Physical Agents for Dynamic Real-time Environments, August 2003. PDFview
129. T. Zhu, R. Greiner, G. Haeubl. "Predicting Web Information Content". Intelligent Techniques for Web Personalization, August 2003. PSview
130. G. Haeubl, T. Zhu, R. Greiner. "Predicting Where a Web User Wants to Go". Best Practices and Future Visions for Search User Interfaces, Fort Lauterdale, August 2003. PSview
131. D. Szafron, R. Greiner, P. Lu, D. Wishart, Z. Lu, B. Poulin, R. Eisner, J. Anvik, C. Macdonell. "Proteome Analyst -- Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors". Bioinformatics Workshop, August 2003. PDFview
132. V. Bulitko, L. Li, R. Greiner, I. Levner. "Adaptive image interpretation: A spectrum of machine learning problems". The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, July 2003. view
133. A. Botea, M. Mueller, J. Schaeffer. "Extending PDDL for Hierarchical Planning and Topological Abstraction". Workshop on PDDL, pp 25-32, June 2003. PDFview
134. J. Anvik, R. Eisner, R. Greiner, P. Lu, Z. Lu, C. Macdonell, B. Poulin, D. Szafron, D. Wishart. " Custom Classifier Creation for Proteome Analyst". PENCE Annual Workshop, May 2003. view
135. K. Calder, C. Cass, R. Berendt, S. Damaraju, L. Cook, J. Dufour, A. Driga, K. Graham, E. Pituskin, R. Greiner, A. Reiman, M. Sawyer, D. Wishart, J. Mackey. "Alberta Cancer Board PolyomX Program". ACB Annual Research Meeting, Banff, May 2003. view
136. Z. Lu, J. Anvik, R. Eisner, R. Greiner, P. Lu, C. Macdonell, B. Poulin, D. Szafron, D. Wishart. "Using Proteome Analyst for Protein Sub-cellular Localization Prediction". PENCE Annual Workshop, May 2003. view
137. C. Drummond, R. Holte. "C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling Beats Over-Sampling". Workshop on Learning from Imbalanced Datasets II, January 2003. view
138. M. Goldenberg, P. Lu, C. Pinchak, J. Schaeffer. "TrellisDAG: A System for Structured DAG Scheduling". Workshop on Job Scheduling Strategies for Parallel Processing, pp 21-34, January 2003. view
139. S. Oliveira, O. Zaiane. "Foundations for an Access Control Model for Privacy Preservation in Multi-Relational Association Rule Mining". Workshop on Privacy, Security, and Data Mining, pp 19-26, December 2002. PDFview
140. S. Oliveira, O. Zaiane. "Privacy preserving frequent itemset mining". Workshop on Privacy, Security, and Data Mining, pp 43-54, December 2002. PDFview
141. W. Wang, O. Zaiane. "Clustering Web Sessions by Sequence Alignment". International Workshop on Management of Information on the Web, pp 394-398, September 2002. PDFview
142. O. Zaiane, A. Strilets. "Finding Similar Queries to Satisfy Searches based on Query Traces". International Workshop on Efficient Web-Based Information Systems (EWIS), (ed: Jean-Michel Bruel, Zohra Bellahsene), 2426, pp 207-216, September 2002. PDFview
143. V. Bulitko, I. Levner, R. Greiner. "Real-time Lookahead Control Policies". Real-Time Decision Support and Diagnosis Systems, August 2002. PDFview
144. D. Schuurmans, F. Southey. "Local Search Characteristics of Incomplete SAT Procedures". Value of Information in Inference, Learning and Decision-Making, July 2002. PDFview
145. O. Zaiane, M. Antonie, A. Coman. "Mammography Classification by an Association Rule-Based Classifier". International ACM SIGKDD Workshop on Multimedia Data Mining, Springer Verlag, pp 62-69, July 2002. PDFview
146. M. Bowling, M. Veloso. "Scalable learning in stochastic games". Game Theoretic and Decision Theoretic Agents, July 2002. PDFview
147. J. Anvik, S. MacDonald, D. Szafron, J. Schaeffer, S. Bromling, K. Tan. "Generating Parallel Programs from the Wavefront Design Pattern". International Parallel and Distributed Processing Symposium (IPDS), pp 104, January 2002. PDFview
148. H. Cui, O. Zaiane. "Hierarchical Structural Approach to Improving the Browsability of Web Search Engine Results". International Workshop on Digital Libraries (DLib), pp 956-960, September 2001. PDFview
149. M. Antonie, O. Zaiane, A. Coman. "Application of Data Mining Techniques for Medical Image Classification". International ACM SIGKDD Workshop on Multimedia Data Mining, pp 94-101, August 2001. PDFview
150. O. Zaiane, A. Ammoura. "On-Line Analytical Processing While Immersed in a Cave". International Workshop on User Interfaces to Data Intensive Systems (UIDIS), pp 102-115, June 2001. view
151. A. Foss, W. Wang, O. Zaiane. "A Non-Parametric Approach to Web Log Analysis". Workshop on Web Mining, pp 41-50, April 2001. PDFview
152. P. Stone, R. Sutton, S. Singh. "Reinforcement Learning for 3 vs. 2 Keepaway". RoboCup, January 2001. view
153. O. Zaiane. "Web Mining: Concepts, Practices and Research". Brazilian Symposium on Databases (SBBD), pp 410-474, October 2000. view
154. B. Matichuk, O. Zaiane. "Unsupervised Classification of Sound for Multimedia Indexing". International ACM SIGKDD Workshop on Multimedia Data Mining, pp 31-36, August 2000. PDFview
155. O. Zaiane, J. Han. "Finding Spatial Associations in Images". Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, pp 138-147, April 2000. view
156. R. Greiner, C. Darken. "Determining whether a Belief Net is Consistent with Auxiliary Information". Conditional Independence Structures and Graphical Models, Toronto, September 1999. PDFview
157. R. Greiner, W. Zhou. "Learning Accurate Belief Nets using Explicitly-Labeled Queries". Conditional Independence Structures and Graphical Models, Toronto, September 1999. PSview
158. O. Zaiane, E. Hagen, J. Han. "Word Taxonomy for On-line Visual Asset Management and Mining". International Workshop on Application of Natural Language to Information Systems, pp 271-276, June 1999. PDFview
159. O. Zaiane, J. Han. "WebML: Querying the World-Wide Web for Resources and Knowledge". Workshop on Web Information and Data Management (WIDM), pp 9-12, November 1998. PDFview
160. M. Bowling, M. Veloso. "Reusing Learned Policies Between Similar Problems". AI*IA-98 Workshop on New Trends in Robotics, October 1998. PDFview
161. Z. Li, O. Zaiane. "C-BIRD: Content-Based Image Retrieval from Image Repositories Using Chromaticity and Recognition Kernel". International Workshop on Storage and Retrieval Issues in Image and Multimedia Databases, pp 361-366, August 1998. PDFview
162. A. McGovern, D. Precup, B. Ravindran, S. Singh, R. Sutton. "Hierarchical Optimal Control of MDPs". Yale Workshop on Adaptive and Learning Systems, pp 186-191, January 1998. PDFview
163. O. Zaiane, A. Fall, S. Rochefort, V. Dahl, P. Tarau. "Concept-Based Retrieval Using Controlled Natural Language". International Workshop on Application of Natural Language to Information Systems, pp 11-26, June 1997. PDFview
164. M. Bowling, P. Stone, M. Veloso. "Predictive Memory for an inaccessible environment". RoboCup, November 1996. PDFview
165. J. Han, Y. Fu, K. Koperski, W. Wang, O. Zaiane. "DMQL: A Data Mining Query Language for Relational Databases". Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD), pp 27-33, June 1996. PDFview
166. R. Mehra, B. Ravichandran, R. Sutton. "Adaptive Intelligent Scheduling for ATM Networks". Yale Workshop on Adaptive and Learning Systems, pp 106-111, January 1996. PDFview
167. L. Kuvayev, R. Sutton. "Model-Based Reinforcement Learning With An Approximate, Learned Model". Yale Workshop on Adaptive and Learning Systems, pp 101-105, January 1996. PDFview
168. R. Bharat Rao, R. Greiner, T. Hancock. "Exploiting the Absence of Irrelevant Information: What You Don't Know Can Help You". November 1994. PSview
169. P. Langley, G. Drastal, R. Bharat Rao, R. Greiner. "Theory Revision in Fault Hierarchies". The Fifth International Workshop on Principles of Diagnosis (Dx94), October 1994. PSview
170. R. Sutton, S. Singh. "On Bias and Step Size in Temporal-Difference Learning". Yale Workshop on Adaptive and Learning Systems, pp 91-96, January 1994. PDFview
171. R. Greiner, D. Schuurmans. "Learning an Optimally Accurate Representational System". ECAI Workshop on Theoretical Foundations of Knowledge Representation and Reasoning, Springer Verlag, August 1993. PSview
172. A. Gamache, O. Zaiane. "Integration of a smartcard in a distributed medical record system". June 1992. view
173. A. Barto, R. Sutton. "Gain Adaptation Beats Least Squares?". Yale Workshop on Adaptive and Learning Systems, pp 161-166, January 1992. PDFview
174. W. Cohen, R. Greiner, D. Schuurmans. "Probabilistic Hill-Climbing". Computational Learning Theory and Natural Learning Systems, (Edition II), MIT Press, pp 171--181, January 1992. view
175. R. Sutton, C. Matheus. "Learning Polynomial Functions by Feature Construction". IWML, January 1991. PDFview
176. R. Sutton. "Planning by Incremental Dynamic Programming". International Workshop on Machine Learning, pp 353-357, January 1991. PDFview
177. Y. Xiao, R. Greiner. "A Distributed Plan Verifier". Third UNB AI Workshop, October 1990. PSview
178. O. Zaiane. "Forward error recovery: Toward a preventive methodology". Workshop on Constructive Algorithms: The Role of Relations in Program Development, September 1990. PDFview
179. R. Sutton. "Artificial intelligence by dynamic programming". Yale Workshop on Adaptive and Learning Systems, pp 89-95, May 1990. view
180. R. Holte, R. Zimmer. "A Mathematical Framework for Studying Representation". International Workshop on Machine Learning, pp 454-456, June 1989. view
181. R. Sutton. "Convergence Theory for a New Kind of Prediction Learning". WCLT, pp 421-422, January 1988. PSview
182. R. Brooks, R. Greiner, T. Binford. "Progress Report on a Model Based Vision". Proceedings of the ARPA Image Understanding Workshop, (ed: L. Baumann), pp 145-151, May 1985. view
183. R. Brooks, R. Greiner, T. Binford. "A Model Based Vision System". Proceedings of the ARPA Image Understanding Workshop, (ed: L. Baumann), pp 36-44, May 1978. view
University of Alberta Logo AICML Logo