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Recent Additions:

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
Z. Shi. "Learning to predict the sites of metabolism and metabolic endpoints". MSc Thesis, University of Alberta, January 2016. PDFview
S. Ravanbakhsh, B. Poczos, J. Schneider, D. Schuurmans, R. Greiner. "Stochastic Neural Networks with Monotonic Activation Functions". Artificial Intelligence and Statistics, May 2016. view
B. Sen. "Generalized Prediction Model for Detection of Psychiatric Disorders". MSc Thesis, University of Alberta, January 2016. PDFview
F. Allen. "Competitive Fragmentation Modeling of Mass Spectra for Metabolite Identification". PhD Thesis, January 2016. PDFview
D. Wishart, L. Querengesser, B. Lefebvre, N. Epstein, R. Greiner, J. Newton. "Medical Resonance Diagnostics: A New Technology for High Throughput Clinical Diagnostics". Journal of Clinical Chemistry, October 2001. view

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