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Publications in 2010

In Journal (refereed)

1. A. Kerhet, C. Small, H. Quon, T. Riauka, L. Schrader, R. Greiner, D. Yee, A. McEwan, W. Rao. "Application of Machine Learning Methodology for PET-Based Definition of Lung Cancer". Current Oncology, 17(1), pp 41-46, July 2010. view
2. N. Asgarian, X. Hu, Z. Aktary, K. Chapman, L. Lam, R. Chibbar, J. Mackey, R. Greiner, M. Pasdar. "Learning to Predict Relapse In Invasive Ductal Carcinomas based on the Subcellular Localization of Junctional Proteins". Breast Cancer Research and Treatment, 121(2), pp 527, May 2010. view
3. O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure from Dependency and Independency Data". Information and Computation, 208(1), pp 63--82, March 2010. view

In Conference (refereed)

4. D. Moulavi, M. Hajiloo, J. Sander, P. Halloran, R. Greiner. "Combining Gene Expression and Interaction Network Data to Improve Kidney Lesion Score Prediction". Biotechnology and Bioinformatics Symposium, October 2010. PDFview
5. A. Shademan, M. Jagersand. "Three-View Uncalibrated Visual Servoing". International Conference on Intelligent Robots and Systems, pp 6234-6239, October 2010. PDFview
6. S. Ravanbakhsh, B. Poczos, R. Greiner. "A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra". National Conference on Artificial Intelligence (AAAI), July 2010. view
7. L. Li, B. Poczos, C. Szepesvari, R. Greiner. "Budgeted Distribution Learning of Belief Net Parameters". International Conference on Machine Learning (ICML), June 2010. PDFview
8. A. Shademan, A. Farahmand, M. Jagersand. "Robust Jacobian Estimation for Uncalibrated Visual Servoing". IEEE International Conference on Robotics and Automation (ICRA), pp 5564-5569, May 2010. PDFview
9. O. Schulte, G. Frigo, H. Khosravi, R. Greiner. "The IMAP Hybrid Method for Learning Gaussian Bayes Nets". Canadian Conference on Artificial Intelligence (CAI), April 2010. PDFview
10. K. Popuri, D. Cobzas, M. Jagersand. "Fast FEM-based Non-rigid Registration". Canadian Conference on Computer and Robot Vision, Ottawa, Canada, March 2010. PDFview

In Workshop

11. N. Desai, D. Szafron, L. Sayegh, R. Greiner, G. Turecki. "Creating Video Games to Treat Chronic Depression". May 2010. PDFview

Other Categories

12. S. Ravanbakhsh, R. Greiner. "Benchmarking Cross Entropy Exploiting partial Decomposability: Analysis of a Batch Sampling Method for Large-Scale Structured Optimization". NIPS: Monte Carlo Methods for Bayesian Inference in Modern Day Applications, December 2010. PDFview
13. H. Lin. "Learning Accurate Regressors for Predicting Survival Times of Individual Cancer PatientsTS". MSc Thesis, University of Alberta, October 2010. PDFview
14. T. Eastman. "A Disease Classifier for Metabolic Profiles Based on Metabolic Pathway Knowledge". MSc Thesis, University of Alberta, February 2010. PDFview
15. P. Mosayebi. "Tumor Invasion Margin from Diffusion Weighted Imaging". MSc Thesis, University of Alberta, February 2010. PDFview
16. F. Mirzazadeh. "Using SNP Data to Predict Radiation Toxicity for Prostate Cancer Patients". MSc Thesis, University of Alberta, February 2010. PDFview
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