Konferensartikel

The INFUSIS Project

Henrik Boström
Informatics Research Centre, University of Skövde, Sweden \ Dept. Of Computer and Systems Sciences, Stockholm University, Sweden

Ulf Norinder
AstraZeneca R&D Södertälje, Sweden

Ulf Johansson
School of Business and Informatics, University of Borås, Sweden

Cecilia Sönströd
School of Business and Informatics, University of Borås, Sweden

Tuve Löfström
School of Business and Informatics, University of Borås, Sweden

Elzbieta Dura
Lexware Labs, Sweden

Ola Engkvist
AstraZeneca R&D Mölndal, Sweden

Sorel Muresan
AstraZeneca R&D Mölndal, Sweden

Niklas Blomberg
AstraZeneca R&D Mölndal, Sweden

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=048;article=011

Ingår i: The Swedish AI Society Workshop May 20-21; 2010; Uppsala University

Linköping Electronic Conference Proceedings 48:11, s. 65-70

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Publicerad: 2010-05-19

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The INFUSIS project is a three-year colla-boration between industry and academia in order to further the development of new effective methods for generating predictive and interpretable models from machine learning and text mining to solve drug discovery problems.

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Referenser

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