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Publications in 2008

In Journal (refereed)

1. S. Damaraju, B. Sehrawat, D. Carandang, R. Penugonde, R. Greiner, M. Parliament. "Candidate and Whole-Genome SNP Association Studies of Late Radiation Toxicity in Prostate Cancer Patients". Radiation Research, 170, pp 671-672, September 2008. view
2. A. Fyshe, Y. Liu, D. Szafron, R. Greiner, P. Lu. "Improving Subcellular Localization Prediction using Text Classification and the Gene Ontology". Bioinformatics, August 2008. view
3. D. Wishart, M. Lewis, J. Morrisey, M. Flegel, Y. Xiong, K. Jeroncic, D. Cheng, R. Eisner, B. Gautam, D. Tzur, S. Sawhney, F. Bamforth, R. Greiner, L. Li. "The Human Cerebrospinal Fluid Metabolome". Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences, August 2008. view
4. H. Fan, S. Abourizk, H. Kim, O. Zaiane. "Assessing Residual Value of Heavy Construction Equipment Using Prediuctive Data Mining Model". ASCE Journal of Computing in Civil Engineering, 22(3), pp 181-191, May 2008. view
5. C. Lee, O. Zaiane, H. Park, J. Huang, R. Greiner. "Clustering High Dimensional Data: A Graph-Based Relaxed Optimization Approach". Information Sciences, May 2008. view
6. I. Levner, H. Zhang, R. Greiner. "Heterogeneous Stacking for Classification Driven Watershed Segmentation". EURASIP Journal on Advances in Signal Processing, 2008(Article ID 485821 (9 pages)), January 2008. view

In Journal (unrefereed)

7. N. Ray, R. Greiner, A. Murtha. "Using Symmetry to Detect Abnormalies in Brain MRI". Computer Society of India Communications, 31(19), pp 7--10, January 2008. PDFview

In Conference (refereed)

8. J. Lees-Miller, F. Anderson, B. Hoehn, R. Greiner. "Does Wikipedia Information Help Netflix Predictions?". International Conference on Machine Learning and Applications (ICMLA), December 2008. PDFview
9. X. Su, T. Khoshgoftaar, R. Greiner. "Imputed Neighborhood Based Collaborative Filtering". IEEE/WIC/ACM International Conference on Web Intelligence, pp 633-639, December 2008. PDFview
10. X. Su, T. Khoshgoftaar, R. Greiner. "Using Imputation Techniques to Help Learn Accurate Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 437-444, November 2008. PDFview
11. A. Isaza, J. Lu, V. Bulitko, R. Greiner. "A Cover-Based Approach to Multi-Agent Moving Target Pursuit". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), October 2008. PDFview
12. C. Lee, S. Wang, M. Brown, A. Murtha, R. Greiner. "Segmenting Brain Tumors using Pseudo-Conditional Random Fields". Medical Image Computing and Computer-Assisted Intervention, pp 359-366, September 2008. PDFview
13. I. Levner, R. Greiner, H. Zhang. "Supervised Image segmentation via Ground Truth Decomposition". 2008 IEEE International Conference on Image Processing, September 2008. PDFview
14. D. Chodos, O. Zaiane. "ARC-UI: A Visualization Tool for Associative Classifiers". Information Visualization, July 2008. view
15. C. Lee, M. Brown, S. Wang, A. Murtha, R. Greiner. "Constrained Classification on Structured Data". National Conference on Artificial Intelligence (AAAI), July 2008. PDFview
16. S. Kirshner, B. Poczos. "ICA and ISA Using Schweizer-Wolff Measure of Dependence". International Conference on Machine Learning (ICML), July 2008. PDFview
17. A. Isaza, C. Szepesvari, R. Greiner, V. Bulitko. "Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions". Conference on Uncertainty in Artificial Intelligence (UAI), pp 306--314, July 2008. PDFview
18. M. Bowling, M. Johanson, N. Burch, D. Szafron. "Strategy Evaluation in Extensive Games with Importance Sampling". International Conference on Machine Learning (ICML), (ed: Andrew McCallum and Sam Roweis), pp 72--79, July 2008. PDFview
19. Q. Wang, D. Lin, D. Schuurmans. "Semi-supervised convex training for dependency parsing". International Conference on Computational Linguistics and the Association for Computational Linguist, June 2008. view
20. X. Su, T. Khoshgoftaar, R. Greiner. "A Mixture Imputation-Boosted Collaborative Filter". Florida AI Research Symposium, pp 312--317, May 2008. PDFview
21. J. Neufeld, M. Bowling, J. Roberts, S. Walsh, A. Milstein, M. Sokolsky. "Autonomous Geocaching: Navigation and Goal Finding in Outdoor Domains". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2008. view
22. X. Su, T. Khoshgoftaar, X. Zhu, R. Greiner. "Imputation-Boosted Collaborative Filtering Using Machine Learning Classifiers". ACM Symposium on Applied Computing, pp 949-950, March 2008. PDFview
23. C. Ringlstetter, U. Reffle, A. Gotscharek, K. Schulz. "Deriving Symbol Dependent Edit Weights for Text Correction - the Use of Error Dictionaries". International Conference on Document Analysis and Recognition (ICDAR), February 2008. view
24. M. Bowling, A. Geramifard, D. Wingate. "Sigma Point Policy Iteration". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), January 2008. view

In Conference (unrefereed)

25. Y. Guo, D. Schuurmans. "Efficient global optimization for exponential family PCA and low-rank matrix factorization". Allerton Conference on Communication, Control, and Computing, September 2008. view
26. I. Forsythe, D. Wishart, L. Li, R. Greiner, B. Sykes, F. Bamforth, D. Clive, H. Vogel. "Metabolomics - Revolutionizing Healthcare, Agriculture, Nutrition and Food Production in the 21st Century". Canadian Proteome Society Regional Meeting - Omics and Systems Biology, February 2008. view

In Workshop

27. Y. Li, D. Schuurmans. "Policy iteration for learning an exercise policy for American options". European Workshop on Reinforcement Learning, July 2008. view
28. Y. Li, D. Schuurmans. "Learning exercise policies for American options". International Symposium on Financial Engineering, February 2008. view
29. S. Mihov, P. Mitankin, A. Gotscharek, U. Reffle, K. Schulz, C. Ringlstetter. "Tuning the Selection of Correction Candidates for Garbled Tokens using Error Dictionaries". Finite-State Techniques and Approximate Search, February 2008. PDFview

Other Categories

30. W. Wei. "Breeding value estimation and quantitative trait loci detection by Machine Learning methods based on high dimensional Single Nucleotide Polymorphisms dataset". MSc Thesis, Dept of Computing Science, University of Alberta, December 2008. PDFview
31. I. Levner. "Data Driven Object Segmentation". PhD Thesis, November 2008. PDFview
32. A. Isaza. "A Heuristic-Based Approach to Multi-Agent Moving-Target Search". MSc Thesis, University of Alberta, August 2008. view
33. D. Lizotte. "Practical Bayesian Optimization". PhD Thesis, University of Alberta, July 2008. view
34. Q. Wang. "Learning Structured Classifiers for Statistical Dependency Parsing". PhD Thesis, University of Alberta, June 2008. view
35. A. Milstein. "Improved Particle Filter Based Localization and Mapping Techniques". PhD Thesis, University of Waterloo, May 2008. view
36. R. Eisner, D. Hau, R. Greiner, V. Baracos, D. Wishart, C. Stretch, J. Xia. "Machine Learning Analysis of Cancer Cachexia". Poster, Canadian Proteomics Initiative (CPI), May 2008. PDFview
37. F. Jiao. "Probabilistic Graphical Models and Algorithms for Protein Problems". PhD Thesis, University of Waterloo, May 2008. view
38. P. Wang. "Hierarchical Prediction of Protein Function in The Gene Ontology Using Graphical Models". MSc Thesis, University of Alberta, April 2008. PDFview
39. N. Bard. "Using State Estimation for Dynamic Agent Modelling". MSc Thesis, University of Alberta, March 2008. PDFview
40. R. Eisner, R. Greiner, D. Wishart. "Chemical Class Prediction in the Human Metabolome". Poster, Canadian Proteome Society Regional Meeting - Omics and Systems Biology, February 2008. PDFview
41. R. Goebel, C. Ringlstetter, S. Zilles, A. Dengel, G. Grimnes. "What is the role of the semantic layer cake?". Semantic Web and Knowledge Engineering Symposium, January 2008. view
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