Not Logged In



Publications in 2006

In Journal (refereed)

1. M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "Learning a Classification-based Glioma Growth Model Using MRI Data". Journal of Computers (JCP), 1(7), pp 21-31, November 2006. PDFview
2. R. Holte, A. Felner, J. Newton, R. Meshulam, D. Furcy. "Maximizing over Multiple Pattern Databases speeds up Heuristic Search". Artificial Intelligence (AIJ), 170, pp 1123-1136, November 2006. PDFview
3. M. El-Hajj, O. Zaiane. " Parallel Bifold: Large-Scale Parallel Pattern Mining with Constraints". Distributed and Parallel Databases, An International Journal, 20(3), pp 225-243, October 2006. PDFview
4. C. Drummond, R. Holte. "Cost Curves: An Improved Method for Visualizing Classifier Performance". Machine Learning Journal (MLJ), 65(1), pp 95-130, October 2006. view
5. H. Fan, H. Kim, O. Zaiane. "Data Warehousing for Construction Equipment Management". 33, pp 1480-1489, October 2006. PDFview
6. A. Murtha, J. Sander, R. Greiner. "A Novel Approach to Constructing More "Intelligent" Planning Target Volumes for Glioma Patients". Radiotherapy and Oncology, 80(S1), pp S12 - S13, September 2006. view
7. L. Pireddu, D. Szafron, P. Lu, R. Greiner. "The Path-A metabolic pathway prediction web server". Nucleic Acids Research (NAR), 34((Web Server Issue)), pp W714 -- W719, July 2006. PDFview
8. G. Melli, O. Zaiane, B. Kitts. " Introduction to the Special Issue on Successful Real-World Data Mining Applications". 8(1), pp 1-2, June 2006. view
9. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Average Reward Reinforcement Learning". Journal of Machine Learning Research (JMLR), 13(2), pp 197-229, June 2006. PDFview
10. S. Damaraju, D. Murray, J. Dufour, D. Carandang, R. Myrehaug, G. Fallone, C. Field, R. Greiner, J. Hanson, C. Cass, M. Parliament. "Association of DNA Repair and Steroid Metabolism Gene Polymorphisms with Clinical Late Toxicity in Patients Treated with Conformal Radiotherapy for Prostate Cancer". Clinical Cancer Research (CCR), 12(8), pp 2545-2554, April 2006. view
11. S. Oliveira, O. Zaiane. "A Unified Framework for Protecting Sensitive Association Rules in Business Collaboration". International Journal of Business Intelligence and Data Mining, 1(3), pp 247-287, March 2006. view
12. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Constraint-Based Optimization and Utility Elicitation Using the Minimax Decision Criterion". Artificial Intelligence (AIJ), 170(8-9), pp 686-713, January 2006. view
13. R. Holte. "Elaboration on Two Points Raised in "Classifier Technology and the Illusion of Progress"". Statistical Science, 21(1), pp 24-26, January 2006. PDFview
14. U. Basu, J. Francis, R. Whittal, J. Stephens, Y. Wang, O. Zaiane, R. Goebel, D. Muench, A. Good, G. Taylor. "Extracellular proteomes of Arabidopsis thaliana and Brassica napus roots: analysis and comparison by MudPIT and LC-MS/MS". Plant and Soil, 286(1-2), pp 357-376, January 2006. PDFview
15. R. Greiner, R. Hayward, M. Jankowska, M. Molloy. "Finding Optimal Satisficing Strategies for And-Or Trees". Artificial Intelligence (AIJ), 170, pp 19-58, January 2006. PDFview
16. M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, C. Onuczko, M. Carbonaro. "Generating Ambient Behaviors in Computer Role-Playing Games". IEEE, 21(5), pp 19-27, January 2006. PDFview
17. T. Caetano, T. Caelli, D. Schuurmans, D. Barone. "Graphical Models and Point Pattern Matching". IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10), January 2006. PDFview
18. P. Torma, C. Szepesvari. "Local Importance Sampling: A Novel Technique to Enhance Particle Filtering". Journal of Multimedia (JMM), 1, pp 32-43, January 2006. PDFview
19. L. Kocsis, C. Szepesvari. "Universal Parameter Optimisation in Games Based on SPSA". Machine Learning Journal (MLJ), 63, pp 249-286, January 2006. PDFview

In Conference (refereed)

20. Y. Pei, O. Zaiane, Y. Gao. "An Efficient Reference-based Approach to Outlier Detection in Large Dataset". IEEE International Conference on Data Mining (ICDM), pp 478-487, December 2006. PDFview
21. M. Ghavamzadeh, Y. Engel. "Bayesian Policy Gradient Algorithms". Neural Information Processing Systems (NIPS), December 2006. PDFview
22. C. Lee, S. Wang, F. Jiao, D. Schuurmans, R. Greiner. "Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields". Neural Information Processing Systems (NIPS), December 2006. PDFview
23. L. Antonie, O. Zaiane, R. Holte. "Learning to Use a Learned Model: A Two-Stage Approach to Classification". IEEE International Conference on Data Mining (ICDM), pp 33-42, December 2006. PDFview
24. I. Cheng, R. Goebel. "Perceptually enhanced multimedia processing, visualization and transmission". International Symposium on Multimedia, pp 509-516, December 2006. view
25. X. Su, T. Khoshgoftaar. "Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 497-504, November 2006. PDFview
26. Y. Li, J. Harms, R. Holte, R. Meshulam, D. Furcy. "Optimal Traffic-Oblivious Energy-Aware Routing for Multihop Wireless Networks". IEEE, November 2006. PDFview
27. S. Cheng, S. Nilufar, A. Basu, R. Goebel. "Shape tracking and registration for 4d visualization of mri". International Symposium on Visual Computing, pp 253-262, November 2006. view
28. Z. Cai, L. Xu, Y. Shi, M. Salavatipour, R. Goebel, G. Lin. "Using gene clustering to identify discriminatory genes with higher classification accuracy". IEEE Symposium on Bioinformatics and Bioengineering(BIBE), pp 235-242, November 2006. view
29. L. Kocsis, C. Szepesvari. "Bandit Based Monte-Carlo Planning". European Conference on Machine Learning (ECML), Berlin, Germany, pp 282-293, September 2006. PDFview
30. C. Lee, R. Greiner, O. Zaiane. "Efficient Spatial Classification Using Decoupled Conditional Random Field". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, (ed: Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou), pp 272-283, September 2006. PDFview
31. J. Huang, T. Zhu, R. Greiner, D. Zhou, D. Schuurmans. "Information Marginalization on Subgraphs". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, September 2006. PDFview
32. J. Schaeffer. "Learning to Have Fun". European Conference on Machine Learning (ECML), Berlin, Germany, September 2006. view
33. S. Wang, S. Wang, L. Cheng, R. Greiner, D. Schuurmans. "Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model". International Colloquium on Grammatical Inference (ICGI), Chofu, Tokyo, Japan, pp 97-111, September 2006. PDFview
34. M. Littman, N. Ravi, A. Talwar, M. Zinkevich. "An Efficient Optimal-Equilibrium Algorithm for Two-Player Game Trees". Conference on Uncertainty in Artificial Intelligence (UAI), August 2006. view
35. J. Huang, A. Smola, A. Gretton, B. Schoelkopf. "Correcting Sample Selection Bias by Unlabeled Data". Neural Information Processing Systems (NIPS), August 2006. view
36. R. Isukapalli, A. Elgammal, R. Greiner. "Learning Policies for Efficiently Identifying Objects of Many Classes". International Conference on Pattern Recognition (ICPR), Hong Kong, August 2006. PDFview
37. D. Zhou, J. Huang, B. Schoelkopf. "Learning with Hypergraphs: Clustering, Classification, and Embedding". Neural Information Processing Systems (NIPS), August 2006. view
38. N. Ratliff, J. Bagnell, M. Zinkevich. "Maximum Margin Planning". International Conference on Machine Learning (ICML), Pittsburgh, August 2006. view
39. A. Nayak, R. Goebel, M. Orgun, T. Pham. "Taking levi identity seriously: a plea for iterated belief contraction". International Conference on Knowledge Science (ICKS), pp 211-220, August 2006. view
40. M. El-Hajj, O. Zaiane. "Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment". International Conference on Parallel and Distributed Systems, Minneapolis, USA, pp 135-142, July 2006. PDFview
41. F. Jiao, S. Wang, C. Lee, R. Greiner, D. Schuurmans. "Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling". International Conference on Computational Linguistics and the Association for Computational Linguist, July 2006. PDFview
42. D. Szafron, B. Poulin, R. Eisner, P. Lu, R. Greiner, D. Wishart, A. Fyshe, B. Pearcy, C. Macdonell, J. Anvik. "Visual Explanation and Auditing of Evidence with Additive Classifiers". Innovative Applications of Artificial Intelligence, July 2006. PDFview
43. Q. Wang, C. Cherry, D. Lizotte, D. Schuurmans. "Improved Large Margin Dependency Parsing Via Local Constraints and Laplacian Regularization". Computational Natural Language Learning (CONLL), June 2006. PDFview
44. C. Lee, R. Greiner, S. Wang. "Using Query-Specific Variance Estimates to Combine Bayesian Classifiers". International Conference on Machine Learning (ICML), Pittsburgh, June 2006. PDFview
45. M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "A Classification-based Glioma Diffusion Model Using MRI Data". Canadian Conference on Artificial Intelligence (CAI), Quebec City, May 2006. PDFview
46. R. Isukapalli, A. Elgammal, R. Greiner. "Learning to Detect Objects of Many Classes Using Binary Classifiers". European Conference on Computer Vision (ECCV), Graz, Austria, May 2006. PDFview
47. H. Fan, O. Zaiane, A. Foss, J. Wu. "A Nonparametric Outlier Detection for Effectively Discovering Top-N outliers from Engineering Data". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, (ed: Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li, Kuiyu Chang), pp 557-566, April 2006. PDFview
48. S. Khan, K. Iniewski, W. Myint, Y. Wang, C. Schlegel. "Emerging Short Reach Wireless Technologies: From 802.11n to 60+ GHz mm Wave Radios - A Silicon Perspective". Proceedings of the 2006 international conference on Wireless communications and mobile computing, April 2006. view
49. R. Isukapalli, A. Elgammal, R. Greiner. "Learning to Identify Facial Expression During Detection Using Markov Decision". Automatic Face and Gesture Recognition (FG), Southampton, UK, pp 305-310, April 2006. PDFview
50. X. Wu, R. Goebel, X. Wan, G. Lin. "Whole Genome Composition Distance for Hiv-1 Genotyping". Life Science Society Computational Systems Bioinformatics Conference, pp 179-190, April 2006. view
51. Y. Shi, Z. Cai, L. Xu, W. Ren, R. Goebel, G. Lin. "A model-free greedy gene selection for microarray sample class prediction". IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp 406-413, January 2006. view
52. R. Niewiadomski, J. Amaral, R. Holte. "A Parallel External-Memory Frontier Breadth-First Traversal Algorithm for Clusters of Workstations". International Conference on Parallel Processing (ICPP), pp 531-538, January 2006. PDFview
53. M. Carbonaro, M. Cutimisu, H. Duff, S. Gillis, C. Onuczko, J. Schaeffer, A. Schumacher, J. Siegel, D. Szafron, K. Waugh. "Adapting a Commercial Role-Playing Game for Educational Computer Game Production". GameOn North America, January 2006. PDFview
54. L. Cheng, S. Wang, D. Schuurmans, T. Caelli, S. Vishwantathan. "An online discriminative approach to background subtraction". IEEE, January 2006. PDFview
55. B. Price, R. Greiner, G. Haeubl, A. Flatt. "Automatic Construction of Personalized Customer Interfaces". International Conference on Intelligent User Interfaces (IUI), Sydney, Australia, January 2006. PDFview
56. M. Hlynka, J. Schaeffer. "Automatic Generation of Search Engines". Advances in Computer Games (ACG), pp 23-38, January 2006. PDFview
57. A. Kaboli, M. Bowling, P. Musilek. "Bayesian calibration for Monte Carlo localization". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 964-969, January 2006. PDFview
58. A. Rettinger, M. Zinkevich, M. Bowling. "Boosting expert ensembles for rapid concept recall". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 464--469, January 2006. PDFview
59. T. Wang, P. Poupart, M. Bowling, D. Schuurmans. "Compact, convex upper bound iteration for approximate POMDP planning". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1245-1251, January 2006. PDFview
60. Y. Guo, D. Schuurmans. "Convex structure learning for Bayesian networks: polynomial feature selection and approximate ordering". Conference on Uncertainty in Artificial Intelligence (UAI), January 2006. PDFview
61. L. Xu, D. Wilkinson, F. Southey, D. Schuurmans. "Discriminative Unsupervised Learning of Structured Predictors". International Conference on Machine Learning (ICML), Pittsburgh, January 2006. PDFview
62. U. Zahavi, A. Felner, R. Holte, J. Schaeffer. "Dual Search in Permutation State Spaces". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1076-1081, January 2006. PDFview
63. M. Cutimisu, C. Onuczko, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, J. Siegel, M. Carbonaro. "Evaluating Pattern Catalogs - The Computer Games Experience". International Conference on Software Engineering (ICSE), pp 132-141, January 2006. PDFview
64. Y. Bjornsson, J. Schaeffer, N. Sturtevant. "Imperfect Information EndGame Databases". Advances in Computer Games (ACG), pp 11-22, January 2006. view
65. L. Cheng, S. Vishwantathan, D. Schuurmans, S. Wang, T. Caelli. "Implicit Online Learning with Kernels". Neural Information Processing Systems (NIPS), January 2006. PDFview
66. A. Geramifard, M. Bowling, R. Sutton. "Incremental least-squares temporal difference learning,". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 356-361, January 2006. PDFview
67. A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Conference on Learning Theory (COLT), January 2006. PDFview
68. M. Bowling, P. McCracken, M. James, J. Neufeld, D. Wilkinson. "Learning predictive state representations using non-blind policies". International Conference on Machine Learning (ICML), Pittsburgh, pp 129-136, January 2006. PDFview
69. M. Zinkevich, M. Bowling, N. Bard, M. Kan, D. Billings. "Optimal unbiased estimators for evaluating agent performance". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 573-578, January 2006. PDFview
70. N. Sturtevant, M. Zinkevich, M. Bowling. "ProbMaxn: Opponent modeling in n-player games". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1057-1063, January 2006. PDFview
71. F. Jiao, J. Xu, L. Yu, D. Schuurmans. "Protein fold recognition using the gradient boost algorithm". Computational Systems Bioinformatics Conference (CSB), January 2006. PDFview
72. N. Sturtevant, M. Bowling. "Robust game play against unknown opponents". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 713-719, January 2006. PDFview
73. L. Xu, K. Crammer, D. Schuurmans. "Robust Support Vector Machine Training Via Convex Outlier Ablation". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, January 2006. PDFview
74. R. Niewiadomski, J. Amaral, R. Holte. "Sequential and Parallel Algorithms for Frontier A* With Delayed Duplicate Detection". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1039-1044, January 2006. PDFview
75. M. Bowling, D. Wilkinson, A. Ghodsi. "Subjective Mapping". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1569--1572, January 2006. PDFview
76. J. Huang, T. Zhu, D. Schuurmans. "Web community identification from random walks". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, January 2006. PDFview

In Conference (unrefereed)

77. B. Price, G. Haeubl, R. Greiner. "Automatic Construction of Personalized Customer Interfaces". Marketing Science Conference, May 2006. view

In Workshop

78. 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
79. J. Patterson, L. Pireddu, D. Szafron, P. Lu, R. Greiner. "Pathway Analyst - Automated Metabolic Pathway Prediction". Metabolomics Symposium, October 2006. view
80. R. Eisner, C. Knox, R. Greiner, D. Wishart. "Predicting Chemical Properties of Small Molecules". Metabolomics Symposium, October 2006. view
81. 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
82. 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
83. 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
84. J. Kay, N. Maisonneuve, K. Yacef, O. Zaiane. "Mining Patterns of Events in Students' Teamwork Data". Educational Data Mining Workshop, June 2006. PDFview
85. 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

Other Categories

86. "Advances in Web Mining and Web Usage Mining Analysis". Springer Verlag, (ed: Olfa Nasraoui, Osmar R. Zaiane, Myra Spilopoulou, Bamshad Mobasher, Brij Masand, Philip S. Yu), 4198, October 2006. view
87. S. Oliveira, O. Zaiane. "Privacy-Preserving Data Mining on the Web: Foundations and Techniques". Web and Information Security, Idea Group Publisher, (ed: Elena Ferrari and Bhavani Thuraisingham), October 2006. view
88. O. Zaiane. "Recommender Systems for E-Learning: Towards Non-Intrusive Web Mining". Data Mining in E-Learning, Advances in Management Information - Data Mining in E-Learning, WIT Press, (ed: C. Romero and S. Ventura), 4, pp 79-96, October 2006. PDFview
89. A. Milstein, T. Wang. "Localization With Dynamic Motion Models: Motion Model Parameters Dynamically in Monte Carlo Localization". Intl. Conf. on Informatics in Control, Automation and Robotics, August 2006. view
90. "Advanced Data Mining and Applications". Lecture Notes in Artificial Intelligence, Springer Verlag, (ed: Xue Li, Osmar R. Zaiane, Zhanhuai Li), 4093, July 2006. view
91. S. Nagaraj, S. Khan, C. Schlegel, M. Burnashev. "On Preamble Detection In Packet Based Wireless Networks". Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on, July 2006. view
92. C. Qiu, J. Li, P. Messenger, T. Zhu, R. Greiner. "Investigating Online Preference Construction and Purchase Propensity under Customized Promotions". Distinguished Scholars Retreat, UofAlberta Business, May 2006. view
93. D. Schuurmans, F. Southey, D. Wilkinson, Y. Guo. "Metric-based approaches for semi-supervised regression and classification". Semi-Supervised Learning, MIT Press, (ed: O. Chapelle, B. Schoelkopf, A. Zein), January 2006. PDFview
University of Alberta Logo AICML Logo