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

Conference Paper - page 6

2013 Conference Paper

Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains

Tanja Käser, Gian- Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Barbara Solenthaler, Joachim M. Buhmann, Markus Gross,

15th International Conference on Artificial Intelligence in Education (AIED) 2011, 22

Research Collection

Engagement Modelling Dyslexia Dyscalculia Dynamic Bayesian Network Human Learning Spelling Mathematics Learning
2013 Conference Paper

Semi-Supervised and Active Learning for Automatic Segmentation of Crohn’s Disease

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

16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), 8150

Research Collection

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 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 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 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 Conference Paper

Approximate Sorting

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

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

Research Collection

2013 Conference Paper

A model development pipeline for Crohn's disease severity assessment from magnetic resonance images

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

Abdominal Imaging. Computation and Clinical Applications : 5th International Workshop, Held in Conjunction with MICCAI 2013, 8198

Research Collection

Crohn S Disease Abdominal Mri Cdeis Maria Ais
2012 Conference Paper

Weakly Supervised Structured Output Learning for Semantic Segmentation

Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012),

Research Collection