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Publications in 2009

In Journal (refereed)

1. B. Bostan, R. Greiner, D. Szafron, P. Lu. "Predicting Homologous Signaling Pathways Using Machine Learning". Bioinformatics, September 2009. view
2. D. Perera, J. Kay, I. Koprinska, K. Yacef, O. Zaiane. "Clustering and Sequential Pattern Mining of Online Collaborative Learning Data". IEEE Transaction on Knowledge and Data Engineering, 21(6), pp 759-772, June 2009. view
3. X. Su, T. Khoshgoftaar, R. Greiner. "Making an accurate classifier ensemble by voting on classifications from imputed learning sets". International Journal of Information and Decision Sciences, (ed: Dr. Reda Alhajj and Dr. Kang Zhang), 1(3), pp 301-322, June 2009. PDFview
4. Y. Cheng, H. Sabaa, Z. Cai, R. Goebel, G. Lin. "Efficient Haplotype Inference Algorithms in One Whole Genome Scan for Pedigree Data with Non-Genotyped Founders". 25(3), pp 477-488, May 2009. PDFview
5. Z. Cai, H. Sabaa, Y. Wang, R. Goebel, Z. Wang, J. Xu, P. Stothard, G. Lin. "Most Parsimonious Haplotype Allele Sharing Determination". BMC Bioinformatics, 10, pp n/a, April 2009. PDFview
6. H. Fan, O. Zaiane, A. Foss, J. Wu. "Resolution-based outlier factor: detecting the top- n most outlying data points in engineering data". Knowledge and Information Systems, 19(1), pp 31-51, April 2009. view
7. S. Nagaraj, S. Khan, C. Schlegel, M. Burnashev. "Differential Preamble Detection In Packet Based Wireless Networks". IEEE Transactions On Wireless Communications, February 2009. view
8. D. Wishart, C. Knox, A. Guo, R. Eisner, N. Young, B. Gautam, D. Hau, N. Psychogios, E. Dong, S. Bouatra, R. Mandal, I. Sinelnikov, J. Xia, L. Jia, J. Cruz, J. Lim, S. Shrivastava, J. Huang, P. Liu, C. Sobsey, L. Fang, R. Greiner, L. Li, H. Vogel, I. Forsythe. "HMDB: a knowledgebase for the human metabolome". Nucleic Acids Research (NAR), 37 (Database issue), January 2009. view
9. I. Cheng, A. Basu, R. Goebel. "Interactive Multimedia for Adaptive Online Education". IEEE MultiMedia Magazine, 16(1), pp 16-25, January 2009. view

In Conference (refereed)

10. Y. Yu, Y. Li, C. Szepesvari, D. Schuurmans. "A general projection property for distribution families". Neural Information Processing Systems (NIPS), December 2009. view
11. N. Quadrianto, T. Caetano, J. Lim, D. Schuurmans. "Convex relaxation of mixture regression with efficient algorithms". Neural Information Processing Systems (NIPS), December 2009. view
12. K. Waugh, N. Bard, M. Bowling. "Strategy Grafting in Extensive Games". Neural Information Processing Systems (NIPS), (ed: Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta), pp 2026--2034, December 2009. PDFview
13. A. Foss, O. Zaiane, S. Zilles. "Unsupervised Class Separation of Multivariate Data through Cumulative Variance-based Ranking". IEEE International Conference on Data Mining (ICDM), Miami, USA, pp 139-148, December 2009. PDFview
14. Y. Guo, D. Schuurmans. "A reformulation of support vector machines for general confidence functions". Asian Conference on Machine Learning, November 2009. view
15. K. Deng, O. Zaiane. "Contrasting Sequence Groups by Emerging Sequences". Discovery Science, Porto, Portugal, pp 377-384, October 2009. PDFview
16. R. Zhao, D. Szafron. "Learning Character Behaviors using Agent Modeling in Games". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), pp 179-185, October 2009. PDFview
17. K. Waugh, D. Schnizlein, M. Bowling, D. Szafron. "Abstraction Pathologies in Extensive Games". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), September 2009. PDFview
18. J. Chen, O. Zaiane, R. Goebel. "A Visual Data Mining Approach to Find Overlapping Communities in Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Athens, Greece, (ed: Nasrullah Memon, Reda Alhajj), pp 338-343, July 2009. PDFview
19. M. White, M. Bowling. "Learning a Value Analysis Tool for Agent Evaluation". International Joint Conference on Artificial Intelligence (IJCAI), pp 1976-1981, July 2009. PDFview
20. J. Chen, O. Zaiane, R. Goebel. "Local Community Identification in Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Athens, Greece, (ed: Nasrullah Memon, Reda Alhajj), pp 237-242, July 2009. PDFview
21. D. Schnizlein, M. Bowling, D. Szafron. "Probabilistic State Translation in Extensive Games with Large Action Sets". International Joint Conference on Artificial Intelligence (IJCAI), pp 278-284, July 2009. PDFview
22. A. Kerhet, C. Small, T. Riauka, R. Greiner, A. McEwan, W. Roa. "Segmentation of Lung Tumours in Positron Emission Tomography Scans: a Machine Learning Approach". Artificial Intelligence in Medicine, July 2009. PDFview
23. A. Farhangfar, R. Greiner, C. Szepesvari. " Learning to Segment from a Few Well-Selected Training Images". International Conference on Machine Learning (ICML), June 2009. PDFview
24. L. Xu, M. White, D. Schuurmans. " Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning". International Conference on Machine Learning (ICML), June 2009. view
25. J. Chen, O. Zaiane, R. Goebel. "Detecting Communities in Large Networks by Iterative Local Expansion". (ed: Ajith Abraham, Václav Snásel, Katarzyna Wegrzyn-Wolska), pp 105-112, June 2009. PDFview
26. L. Xu, W. Li, D. Schuurmans. "Fast normalized cut with linear constraints". Computer Vision and Pattern Recognition (CVPR), June 2009. view
27. P. Hooper, Y. Abbasi-Yadkori, R. Greiner, B. Hoehn. "Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling". Conference on Uncertainty in Artificial Intelligence (UAI), June 2009. PDFview
28. B. Poczos, Y. Abbasi-Yadkori, C. Szepesvari, R. Greiner, N. Sturtevant. "Learning when to stop thinking and do something!". International Conference on Machine Learning (ICML), June 2009. PDFview
29. Y. Shi, Z. Cai, G. Lin, D. Schuurmans. "Linear-coherent bi-cluster discovery via line detection and sample majority voting". International Conference on Combinatorial Optimization and Applications, June 2009. view
30. A. Farahmand, A. Shademan, M. Jagersand, C. Szepesvari. "Model-based and model-free reinforcement learning for visual servoing". IEEE International Conference on Robotics and Automation (ICRA), pp 2917-2924, May 2009. PDFview
31. X. Su, T. Khoshgoftaar, R. Greiner. "VipBoost: a More Accurate Boosting Algorithm". Florida AI Research Symposium, pp 356-360, May 2009. PDFview
32. M. Johanson, M. Bowling. "Data Biased Robust Counter Strategies". Artificial Intelligence and Statistics, (ed: David van Dyk and Max Welling), pp 264-271, April 2009. PDFview
33. J. Chen, O. Zaiane, R. Goebel. "Detecting Communities in Social Networks Using Max-Min Modularity". SIAM International Conference on Data Mining, Sparks, USA, pp 978-989, April 2009. PDFview
34. M. Yang, Y. Li, D. Schuurmans. "Dual temporal difference learning". Artificial Intelligence and Statistics, April 2009. view
35. Y. Li, C. Szepesvari, D. Schuurmans. "Learning exercise policies for American options". Artificial Intelligence and Statistics, April 2009. view
36. P. Berube, J. Amaral. "Workload Reduction for Multi-Input Profile-Directed Optimization". International Symposium on Code Generation and Optimization, February 2009. PDFview
37. O. Schulte, G. Frigo, R. Greiner, H. Khosravi. "A New Hybrid Method for Bayesian Network Learning ". Symposium on Computational Intelligence and Data Mining, pp 53--60, January 2009. PDFview

In Conference (unrefereed)

38. R. Eisner, J. Xia, D. Hau, T. Eastman, C. Stretch, S. Damaraju, R. Greiner, D. Wishart, V. Baracos. "Prediction of Cancer-Associated Skeletal Muscle Wasting Using Targeted Profiling of Urinary Metabolites". Metabolomics Society Meeting, August 2009. PDFview

In Workshop

39. T. Zhu, R. Greiner, B. Hu. "LILAC -- Learn from Internet: Log, Annotation, and Content". March 2009. PDFview
40. 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

Other Categories

41. G. Balazs. "Cascade-Correlation Neural Networks: A Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, December 2009. view
42. S. Bayat. "Supporting Software Development Process Using Evolution Analysis : a Brief Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, November 2009. PDFview
43. S. Oliveira, O. Zaiane. "Business Collaboration by Privacy-Preserving Clustering". Social Implications of Data Mining and Information Privacy: Interdisciplinary frameworks and solutio, Social Implications of Data Mining and Information Privacy: Interdisciplinary frameworks and solutions, IGI Global, (ed: Ephrem Eyob), October 2009. view
44. F. Mahdavifard. "Making Gene Sets More Coherent". MSc Thesis, October 2009. PDFview
45. B. Bostan. "Predicting Homologous Signaling Pathways Using Machine Learning". MSc Thesis, October 2009. PDFview
46. S. Oliveira, O. Zaiane. "Privacy-Preserving Clustering to Uphold Business Collaboration: A dimensionality reduction-based Transformation Approach". Techniques and Applications for Advanced Information Privacy and Security: Emerging Organizational, , Techniques and Applications for Advanced Information Privacy and Security: Emerging Organizational, Ethical, and Human Issues, IGI Global, (ed: Nemati), pp 79-102, October 2009. PDFview
47. M. Heydari. "Prognosis of Glioblastoma Multiforme Using Textural Properties on MRI". MSc Thesis, October 2009. PDFview
48. D. Silver. "Reinforcement Learning and Simulation-Based Search in Computer Go". PhD Thesis, October 2009. PDFview
49. M. Antonie, D. Chodos, O. Zaiane. "Variations on Associative Classifiers and Classification Results Analyses". Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, IGI Global, (ed: Yanchang Zhao, Chengqi Zhang and Longbing Cao), October 2009. view
50. S. Ravanbakhsh. "A Stochastic Optimization Method for Partially Decomposable Problems, with Application to Analysis of NMR Spectra". MSc Thesis, September 2009. view
51. K. Waugh. "Abstraction in Large Extensive Games". MSc Thesis, University of Alberta, August 2009. view
52. R. Zhao. "Applying Agent Modeling to Behaviour Patterns of Characters in Story-Based Games". MSc Thesis, University of Alberta, August 2009. view
53. L. Li. "Budgeted Parameter Learning of Generative Bayesian Networks". MSc Thesis, University of Alberta, April 2009. PDFview
54. C. Lee. "Modeling Spatial Correlations for Effective Discriminative Classifiers". PhD Thesis, January 2009. PDFview
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