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Jesse Davis

Post-Doc, University of Washington

Office: 356 Allen Center
Telephone: (206) 616 1798
Email: jdavis at cs dot wisc dot edu

Mailing Address
Department of Computer Science and Engineering
University of Washingoton
Box 352350
Seattle, WA 98195-2350

News

I am now an assistant professor at KU Leuven in Belgium. This webpage is no longer being actively maintained. Please visit my new page

Research

I was co-advised by C. David Page Ph.D and Dr. Elizabeth Burnside. I also worked closely with Ines Dutra Ph.D and Vitor Santos Costa Ph.D who spent 2004-2005 in Madison as visiting faculty. They were on leave from the Federal University of Rio de Janeiro. My research focuses on solving problems in biological and clinical domains through the development of novel machine learning and data mining techniques. I have developed a state-of-the-art Statistical Relational Learning framework that is broadly applicable to clinical and biological problems. The framework has been shown to increase the accuracy of learned models and has made novel clinical discoveries. Thus far, I have focused on two application domains: providing a decision support system for radiologists who read mammograms and predicting three-dimensional Quantitative Structure-Activity Relationships (3D-QSAR) for drug design.

Software

Mark Goadrich and I have written a java package for generating ROC and Precision Recall curves. It can also calculate the area under the curve. The jar file is available here. For more information about ROC and PR curves, see our paper at ICML 2006.

Publications

Journals

Refereed Conferences

Book Chapters

Refereed Workshops

Jesse Davis and Pedro Domingos (2008). Deep Transfer via Second-Order Markov Logic. To appear in the Proceedings of the AAAI-2008 Workshop on Transfer Learning for Complex Tasks. Chicago, IL: AAAI Press. Available as PDF




Professional Service



Past Teaching Experience


Education

Computer Sciences Department
College of Letters and Science
University of Wisconsin - Madison


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