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. |
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. |
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. |
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. |
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. |
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. |
7. | S. Nagaraj, S. Khan, C. Schlegel, M. Burnashev. "Differential Preamble Detection In Packet Based Wireless Networks". IEEE Transactions On Wireless Communications, February 2009. |
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. |
9. | I. Cheng, A. Basu, R. Goebel. "Interactive Multimedia for Adaptive Online Education". IEEE MultiMedia Magazine, 16(1), pp 16-25, January 2009. |
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. |
11. | N. Quadrianto, T. Caetano, J. Lim, D. Schuurmans. "Convex relaxation of mixture regression with efficient algorithms". Neural Information Processing Systems (NIPS), December 2009. |
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. |
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. |
14. | Y. Guo, D. Schuurmans. "A reformulation of support vector machines for general confidence functions". Asian Conference on Machine Learning, November 2009. |
15. | K. Deng, O. Zaiane. "Contrasting Sequence Groups by Emerging Sequences". Discovery Science, Porto, Portugal, pp 377-384, October 2009. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
26. | L. Xu, W. Li, D. Schuurmans. "Fast normalized cut with linear constraints". Computer Vision and Pattern Recognition (CVPR), June 2009. |
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. |
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. |
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. |
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. |
31. | X. Su, T. Khoshgoftaar, R. Greiner. "VipBoost: a More Accurate Boosting Algorithm". Florida AI Research Symposium, pp 356-360, May 2009. |
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. |
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. |
34. | M. Yang, Y. Li, D. Schuurmans. "Dual temporal difference learning". Artificial Intelligence and Statistics, April 2009. |
35. | Y. Li, C. Szepesvari, D. Schuurmans. "Learning exercise policies for American options". Artificial Intelligence and Statistics, April 2009. |
36. | P. Berube, J. Amaral. "Workload Reduction for Multi-Input Profile-Directed Optimization". International Symposium on Code Generation and Optimization, February 2009. |
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. |
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. |
In Workshop
39. | T. Zhu, R. Greiner, B. Hu. "LILAC -- Learn from Internet: Log, Annotation, and Content". March 2009. |
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. |
Other Categories
41. | G. Balazs. "Cascade-Correlation Neural Networks: A Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, December 2009. |
42. | S. Bayat. "Supporting Software Development Process Using Evolution Analysis : a Brief Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, November 2009. |
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. |
44. | F. Mahdavifard. "Making Gene Sets More Coherent". MSc Thesis, October 2009. |
45. | B. Bostan. "Predicting Homologous Signaling Pathways Using Machine Learning". MSc Thesis, October 2009. |
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. |
47. | M. Heydari. "Prognosis of Glioblastoma Multiforme Using Textural Properties on MRI". MSc Thesis, October 2009. |
48. | D. Silver. "Reinforcement Learning and Simulation-Based Search in Computer Go". PhD Thesis, October 2009. |
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. |
50. | S. Ravanbakhsh. "A Stochastic Optimization Method for Partially Decomposable Problems, with Application to Analysis of NMR Spectra". MSc Thesis, September 2009. |
51. | K. Waugh. "Abstraction in Large Extensive Games". MSc Thesis, University of Alberta, August 2009. |
52. | R. Zhao. "Applying Agent Modeling to Behaviour Patterns of Characters in Story-Based Games". MSc Thesis, University of Alberta, August 2009. |
53. | L. Li. "Budgeted Parameter Learning of Generative Bayesian Networks". MSc Thesis, University of Alberta, April 2009. |
54. | C. Lee. "Modeling Spatial Correlations for Effective Discriminative Classifiers". PhD Thesis, January 2009. |