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. |
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. |
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. |
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. |
5. | H. Fan, H. Kim, O. Zaiane. "Data Warehousing for Construction Equipment Management". 33, pp 1480-1489, October 2006. |
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. |
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. |
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. |
9. | M. Ghavamzadeh, S. Mahadevan. "Hierarchical Average Reward Reinforcement Learning". Journal of Machine Learning Research (JMLR), 13(2), pp 197-229, June 2006. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
19. | L. Kocsis, C. Szepesvari. "Universal Parameter Optimisation in Games Based on SPSA". Machine Learning Journal (MLJ), 63, pp 249-286, January 2006. |
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. |
21. | M. Ghavamzadeh, Y. Engel. "Bayesian Policy Gradient Algorithms". Neural Information Processing Systems (NIPS), December 2006. |
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. |
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. |
24. | I. Cheng, R. Goebel. "Perceptually enhanced multimedia processing, visualization and transmission". International Symposium on Multimedia, pp 509-516, December 2006. |
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. |
26. | Y. Li, J. Harms, R. Holte, R. Meshulam, D. Furcy. "Optimal Traffic-Oblivious Energy-Aware Routing for Multihop Wireless Networks". IEEE, November 2006. |
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. |
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. |
29. | L. Kocsis, C. Szepesvari. "Bandit Based Monte-Carlo Planning". European Conference on Machine Learning (ECML), Berlin, Germany, pp 282-293, September 2006. |
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. |
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. |
32. | J. Schaeffer. "Learning to Have Fun". European Conference on Machine Learning (ECML), Berlin, Germany, September 2006. |
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. |
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. |
35. | J. Huang, A. Smola, A. Gretton, B. Schoelkopf. "Correcting Sample Selection Bias by Unlabeled Data". Neural Information Processing Systems (NIPS), August 2006. |
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. |
37. | D. Zhou, J. Huang, B. Schoelkopf. "Learning with Hypergraphs: Clustering, Classification, and Embedding". Neural Information Processing Systems (NIPS), August 2006. |
38. | N. Ratliff, J. Bagnell, M. Zinkevich. "Maximum Margin Planning". International Conference on Machine Learning (ICML), Pittsburgh, August 2006. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
54. | L. Cheng, S. Wang, D. Schuurmans, T. Caelli, S. Vishwantathan. "An online discriminative approach to background subtraction". IEEE, January 2006. |
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. |
56. | M. Hlynka, J. Schaeffer. "Automatic Generation of Search Engines". Advances in Computer Games (ACG), pp 23-38, January 2006. |
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. |
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. |
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. |
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. |
61. | L. Xu, D. Wilkinson, F. Southey, D. Schuurmans. "Discriminative Unsupervised Learning of Structured Predictors". International Conference on Machine Learning (ICML), Pittsburgh, January 2006. |
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. |
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. |
64. | Y. Bjornsson, J. Schaeffer, N. Sturtevant. "Imperfect Information EndGame Databases". Advances in Computer Games (ACG), pp 11-22, January 2006. |
65. | L. Cheng, S. Vishwantathan, D. Schuurmans, S. Wang, T. Caelli. "Implicit Online Learning with Kernels". Neural Information Processing Systems (NIPS), January 2006. |
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. |
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. |
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. |
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. |
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. |
71. | F. Jiao, J. Xu, L. Yu, D. Schuurmans. "Protein fold recognition using the gradient boost algorithm". Computational Systems Bioinformatics Conference (CSB), January 2006. |
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. |
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. |
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. |
75. | M. Bowling, D. Wilkinson, A. Ghodsi. "Subjective Mapping". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1569--1572, January 2006. |
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. |
In Conference (unrefereed)
77. | B. Price, G. Haeubl, R. Greiner. "Automatic Construction of Personalized Customer Interfaces". Marketing Science Conference, May 2006. |
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. |
79. | J. Patterson, L. Pireddu, D. Szafron, P. Lu, R. Greiner. "Pathway Analyst - Automated Metabolic Pathway Prediction". Metabolomics Symposium, October 2006. |
80. | R. Eisner, C. Knox, R. Greiner, D. Wishart. "Predicting Chemical Properties of Small Molecules". Metabolomics Symposium, October 2006. |
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. |
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. |
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. |
84. | J. Kay, N. Maisonneuve, K. Yacef, O. Zaiane. "Mining Patterns of Events in Students' Teamwork Data". Educational Data Mining Workshop, June 2006. |
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. |
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. |
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. |
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. |
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. |
90. | "Advanced Data Mining and Applications". Lecture Notes in Artificial Intelligence, Springer Verlag, (ed: Xue Li, Osmar R. Zaiane, Zhanhuai Li), 4093, July 2006. |
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. |
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. |
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. |