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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. 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
5. S. Nagaraj, S. Khan, C. Schlegel, M. Burnashev. "Differential Preamble Detection In Packet Based Wireless Networks". IEEE Transactions On Wireless Communications, February 2009. view
6. 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

In Conference (refereed)

7. Y. Yu, Y. Li, C. Szepesvari, D. Schuurmans. "A general projection property for distribution families". Neural Information Processing Systems (NIPS), December 2009. view
8. N. Quadrianto, T. Caetano, J. Lim, D. Schuurmans. "Convex relaxation of mixture regression with efficient algorithms". Neural Information Processing Systems (NIPS), December 2009. view
9. 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
10. Y. Guo, D. Schuurmans. "A reformulation of support vector machines for general confidence functions". Asian Conference on Machine Learning, November 2009. view
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. L. Xu, W. Li, D. Schuurmans. "Fast normalized cut with linear constraints". Computer Vision and Pattern Recognition (CVPR), June 2009. view
19. 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
20. 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
21. 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
22. 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
23. X. Su, T. Khoshgoftaar, R. Greiner. "VipBoost: a More Accurate Boosting Algorithm". Florida AI Research Symposium, pp 356-360, May 2009. PDFview
24. 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
25. M. Yang, Y. Li, D. Schuurmans. "Dual temporal difference learning". Artificial Intelligence and Statistics, April 2009. view
26. Y. Li, C. Szepesvari, D. Schuurmans. "Learning exercise policies for American options". Artificial Intelligence and Statistics, April 2009. view
27. P. Berube, J. Amaral. "Workload Reduction for Multi-Input Profile-Directed Optimization". International Symposium on Code Generation and Optimization, February 2009. PDFview
28. 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)

29. 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

30. T. Zhu, R. Greiner, B. Hu. "LILAC -- Learn from Internet: Log, Annotation, and Content". March 2009. PDFview
31. 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

32. G. Balazs. "Cascade-Correlation Neural Networks: A Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, December 2009. view
33. S. Bayat. "Supporting Software Development Process Using Evolution Analysis : a Brief Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, November 2009. PDFview
34. F. Mahdavifard. "Making Gene Sets More Coherent". MSc Thesis, October 2009. PDFview
35. B. Bostan. "Predicting Homologous Signaling Pathways Using Machine Learning". MSc Thesis, October 2009. PDFview
36. M. Heydari. "Prognosis of Glioblastoma Multiforme Using Textural Properties on MRI". MSc Thesis, October 2009. PDFview
37. D. Silver. "Reinforcement Learning and Simulation-Based Search in Computer Go". PhD Thesis, October 2009. PDFview
38. S. Ravanbakhsh. "A Stochastic Optimization Method for Partially Decomposable Problems, with Application to Analysis of NMR Spectra". MSc Thesis, September 2009. view
39. K. Waugh. "Abstraction in Large Extensive Games". MSc Thesis, University of Alberta, August 2009. view
40. R. Zhao. "Applying Agent Modeling to Behaviour Patterns of Characters in Story-Based Games". MSc Thesis, University of Alberta, August 2009. view
41. L. Li. "Budgeted Parameter Learning of Generative Bayesian Networks". MSc Thesis, University of Alberta, April 2009. PDFview
42. C. Lee. "Modeling Spatial Correlations for Effective Discriminative Classifiers". PhD Thesis, January 2009. PDFview
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