Information Science and Engineering Lab

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.

Contact Info
CAB F 61.1
Universitaetstrasse 6,
8092 Zurich
Schweiz

+41 44 632 64 96

Learn More

Follow Us

Information Science and Engineering Lab

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.

Contact Info
CAB F 61.1
Universitaetstrasse 6,
8092 Zurich
Schweiz

+41 44 632 64 96

Learn More

Follow Us

Publications - page 11

2013 Conference Paper

Robust Optimization in the Presence of Uncertainty

Joachim M. Buhmann, Matúš Mihalák, Rastislav Srámek, Peter Widmayer,

4th Conference on Innovations in Theoretical Computer Science (ITCS 2013),

Research Collection

2013 Journal Article

Near-optimal experimental design for model selection in systems biology

Alberto Giovanni Busetto, Alain Hauser, Gabriel Krummenacher, Mikael Sunnaker, Sotiris Dimopoulos, Cheng Soon Ong, Jörg Stelling, Joachim M. Buhmann,

Bioinformatics, 29

DOI: 10.3929/ethz-b-000073427      Research Collection

2013 Conference Paper

Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features

Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A.W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann,

SPIE Medical Imaging 2013, 8669

Research Collection

Crohn S Disease Mri Context Features Classification
2013 Other Conference Item

Information Content in Clustering Algorithms

Morteza Haghir Chehreghani, Ludwig Busse, Joachim M. Buhmann,

3rd Joint Statistical Meeting (DAGStat 2013),

Research Collection

2013 Conference Paper

Ellipsoidal Multiple Instance Learning

Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann,

International Conference on Machine Learning (ICML 2013), 28

Research Collection

2013 Conference Paper

Crohn's Disease Tissue Segmentation from Abdominal MRI Using Semantic Information and Graph Cuts

Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen Tielbeek, Frans M. Vos, Joachim M. Buhmann,

IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013),

Research Collection

2013 Journal Article

Automatic Detection and Segmentation of Crohn's Disease Tissues from Abdominal MRI

Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A.W. Tielbeek, Jesica C. Makanyanga, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann,

IEEE Transactions on Medical Imaging, 32

Research Collection

2013 Conference Paper

Automatic Cardiac RV Segmentation Using Semantic Information With Graph Cuts

Dwarikanath Mahapatra, Joachim M. Buhmann,

IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013),

Research Collection

2013 Book Chapter

Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma

Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann,

Advances in Computer Vision and Pattern Recognition,

Research Collection

2013 Conference Paper

Approximate Sorting

Ludwig Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann,

35th German Conference on Pattern Recognition (GCPR 2013), 8142

Research Collection