Publications
Filters: First Letter Of Last Name is L [Clear All Filters]
A Family of Feed-forward Models for Protein Sequence Classification,
, Proceedings of the European Conference on Machine Learning and Principles of Knowledge Discovery and Data Mining (ECML-PKDD), 09/2012, Number 2, Bristol, UK, p.419--434, (2012)
A Family of Feed-forward Models for Protein Sequence Classification,
, Proceedings of the European Conference on Machine Learning and Principles of Knowledge Discovery and Data Mining (ECML-PKDD), 09/2012, Number 2, Bristol, UK, p.419--434, (2012)
Mining manufacturing data for discovery of high productivity process characteristics.,
, J Biotechnol, Volume 147, Number 3-4, Department of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Avenue SE, Minneapolis, MN 55455-0132, USA., p.186–197, (2010)
Abstract
A Family of Feed-forward Models for Protein Sequence Classification,
, Proceedings of the European Conference on Machine Learning and Principles of Knowledge Discovery and Data Mining (ECML-PKDD), 09/2012, Number 2, Bristol, UK, p.419--434, (2012)
Mining manufacturing data for discovery of high productivity process characteristics.,
, J Biotechnol, Volume 147, Number 3-4, Department of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Avenue SE, Minneapolis, MN 55455-0132, USA., p.186–197, (2010)
Abstract
Mining manufacturing data for discovery of high productivity process characteristics.,
, J Biotechnol, Volume 147, Number 3-4, Department of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Avenue SE, Minneapolis, MN 55455-0132, USA., p.186–197, (2010)
Abstract
Mining manufacturing data for discovery of high productivity process characteristics.,
, J Biotechnol, Volume 147, Number 3-4, Department of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Avenue SE, Minneapolis, MN 55455-0132, USA., p.186–197, (2010)
Abstract
Mining manufacturing data for discovery of high productivity process characteristics.,
, J Biotechnol, Volume 147, Number 3-4, Department of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Avenue SE, Minneapolis, MN 55455-0132, USA., p.186–197, (2010)
Abstract


