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Publications in Category "MSc Thesis"

1. N. Borle. "The Challenge of Predicting Future Blood Glucose for Patients with Type I Diabetes". MSc Thesis, University of Alberta, November 2017. PDFview
2. R. Vega. "The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data". MSc Thesis, University of Alberta, January 2017. PDFview
3. L. Kumar. "Survival Prediction using Gene Expression Data - A Topic Modeling Approach". MSc Thesis, Computing Science, Thesis, December 2016. PDFview
4. B. Sen. "Generalized Prediction Model for Detection of Psychiatric Disorders". MSc Thesis, University of Alberta, January 2016. PDFview
5. Z. Shi. "Learning to predict the sites of metabolism and metabolic endpoints". MSc Thesis, University of Alberta, January 2016. PDFview
6. P. Jin. "Using Survival Prediction Techniques to Learn Consumer-Specific Reservation Price Distributions". MSc Thesis, Dept of Computing Science, University of Alberta, January 2015. view
7. S. Ghiassian. "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and Autism". MSc Thesis, Computing Science, MSc Thesis, August 2014. view
8. M. Bastani. "Model-Free Intelligent Diabetes Management Using Machine Learning". MSc Thesis, November 2013. PDFview
9. J. Wen. "Robust Learning under Uncertain Test Distributions". MSc Thesis, Dept of Computing Science, University of Alberta, September 2013. view
10. N. Zolghadr. "Probe-Efficient Learning". MSc Thesis, January 2013. view
11. G. Sidhu. "Dimensionality Reduction for fMRI Diagnostic Systems". MSc Thesis, University of Alberta, August 2012. view
12. B. Damavandi. "Estimating the Overlap of Top Instances in Lists Ranked by Correlation to Label". MSc Thesis, University of Alberta, January 2012. 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
17. F. Mahdavifard. "Making Gene Sets More Coherent". MSc Thesis, October 2009. PDFview
18. B. Bostan. "Predicting Homologous Signaling Pathways Using Machine Learning". MSc Thesis, October 2009. PDFview
19. M. Heydari. "Prognosis of Glioblastoma Multiforme Using Textural Properties on MRI". MSc Thesis, October 2009. PDFview
20. S. Ravanbakhsh. "A Stochastic Optimization Method for Partially Decomposable Problems, with Application to Analysis of NMR Spectra". MSc Thesis, September 2009. view
21. K. Waugh. "Abstraction in Large Extensive Games". MSc Thesis, University of Alberta, August 2009. view
22. R. Zhao. "Applying Agent Modeling to Behaviour Patterns of Characters in Story-Based Games". MSc Thesis, University of Alberta, August 2009. view
23. L. Li. "Budgeted Parameter Learning of Generative Bayesian Networks". MSc Thesis, University of Alberta, April 2009. PDFview
24. 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
25. A. Isaza. "A Heuristic-Based Approach to Multi-Agent Moving-Target Search". MSc Thesis, University of Alberta, August 2008. view
26. P. Wang. "Hierarchical Prediction of Protein Function in The Gene Ontology Using Graphical Models". MSc Thesis, University of Alberta, April 2008. PDFview
27. N. Bard. "Using State Estimation for Dynamic Agent Modelling". MSc Thesis, University of Alberta, March 2008. PDFview
28. N. Asgarian. "Rank-1 Bicluster Classifier". MSc Thesis, University of Alberta, January 2007. PDFview
29. M. Schmidt. "Automatic Brain Tumor Segmentation". MSc Thesis, Dept of Computing Science, University of Alberta, November 2005. PDFview
30. A. Kapoor. "Learning and Classifying under Hard Budgets". MSc Thesis, University of Alberta, October 2005. PDFview
31. B. Poulin. "Sequence-based protein function prediction". MSc Thesis, Department of Computing Science, February 2004. view
32. D. Lizotte. "Budgeted Learning of Naive Bayes Classifiers - MSc". MSc Thesis, University of Alberta, September 2003. PDFview
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