We perform teaching and research in machine learning strategies for the pattern analysis of various kinds of data. This comprises statistical models for clustering, graphical models for network inference and algorithmic methods to efficiently find these structures in the data.

Conference Poster

2014 Conference Poster

Computer Aided Crohn's Disease Severity Assessment in MRI

Peter J. Schüffler, Dwarikanath Mahapatra, Franciscus M. Vos, Joachim M. Buhmann,

VIGOR++ Workshop 2014 - Showcase of Research Outcomes and Future Outlook,

Research Collection

2011 Conference Poster

Gaussian Processes for Whole-Brain Feature Selection and Classification in fMRi

E.I. Lomakina, K.H. Brodersen, T.E.J. Behrens, Klaas Stephan, Joachim M. Buhmann,

17th Annual Meeting of the Organization on Human Brain Mapping,

Research Collection

2011 Conference Poster

Cluster Model Validation by Maximizing Approximation Capacity

Morteza Haghir Chehreghani, Alberto G. Busetto, Joachim M. Buhmann,

NIPS Workshop on New Frontiers in Model Order Selection (NIPS 2011),

Research Collection

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