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
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Published in: The Swedish AI Society Workshop May 20-21; 2010; Uppsala University
Linköping Electronic Conference Proceedings 48:11, p. 65-70
Published: 2010-05-19
ISBN:
ISSN: 1650-3686 (print), 1650-3740 (online)
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.
