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Recent Additions:

C. Yu, R. Greiner, H. Lin, V. Baracos. "Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors". Neural Information Processing Systems (NIPS), December 2011. PDFview
A. Andres, A. Montano-Loza, R. Greiner, M. Uhlich, P. Jin, B. Hoehn, D. Bigam, J. Shapiro, N. Kneteman. "A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis". PLoS One, March 2018. view
F. Allen, A. Pon, M. Wilson, R. Greiner, D. Wishart. "CFM-ID: A Web Server for Annotation, Spectrum Prediction and Metabolite Identification from MS/MS". MetaboMeeting, September 2014. PDFview
B. Sen, N. Borle, R. Greiner, M. Brown. "A General Prediction Model for the Detection of ADHD and Autism using Structural and Functional MRI". PLoS One, March 2018. view
N. Hassanpour, R. Greiner. "A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits". Canadian Conference on Artificial Intelligence, May 2018. PDFview
N. Hassanpour, R. Greiner. "A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits [wkshp]". NIPS 2017 Workshop on Causal Inference and Machine Learning (WhatIF2017), November 2017. PDFview

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