Not Logged In

Recent Additions:

D. Schuurmans, R. Greiner. "Learning to Classify Incomplete Examples". Computational Learning Theory and Natural Learning Systems, MIT Press, 4, pp 87-105, May 1997. PDFview
M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, A. Greenshaw, R. Ramasubbu, S. Dursun. "Learning stable and predictive network-based patterns ofschizophrenia and its clinical symptoms". Nature Schizophrenia, May 2017. view
F. Seyednasrollah, D. Koestler, T. Wang, S. Piccolo, R. Vega, R. Greiner, C. Fuchs, E. Gofer, L. Kumar. "A DREAM Challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer". Journal of Clinical Oncology: Clinical Cancer Informatics, May 2017. view
M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, A. Greenshaw, S. Dursun. "Functional Network Patterns as Multivariate Predictors of Symptom Severity in Schizophrenia". 23nd Annual Meeting of the Organization for Human Brain Mapping, May 2017. view
K. Aggarwal, A. Hindle, F. Timbers, E. Stroulia, T. Rutgers, R. Greiner. "Detecting Duplicate Bug Reports using a Hierarchy of Domain Knowledge Contexts". Journal of Software: Evolution and Process, August 2016. view
J. Guinney, T. Wang, P. DREAM Community, R. Greiner, R. Vega, L. Kumar. "A prognostic model to predict overall survival for patients with metastatic castration-resistant prostate cancer: results from a crowdsourced challenge using retrospective, open clinical trial data". Lancet Oncology, 18(1), pp 132-142, January 2017. view

Publications by Year:

2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1983 1980 1978 1975 1974
University of Alberta Logo AICML Logo