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 10

2014 Conference Paper

Combining Multiple Expert Annotations Using Semi-Supervised Learning And Graph Cuts For Crohn’s Disease Segmentation

Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A.W. Tielbeek, Carl A.J. Puylaert, Jesica C. Makanyanga, Alex Menys, Rado Andriantsimiavona, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann,

6th MICCAI Workshop on Abdominal Imaging: Computational and Clinical Applications, 8676

Research Collection

Graph Cut Crohn S Disease Magnetic Resonance Random Forest Markov Random Field
2014 Conference Paper

Active learning based segmentation of Crohn's disease using principles of visual saliency

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

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI),

Research Collection

2013 Conference Paper

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI

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

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

Research Collection

2013 Journal Article

Variational Bayesian mixed-effects inference for classification studies

Kay H Brodersen, Jean Daunizeau, Christoph Mathys, Justin R. Chumbley, Joachim M. Buhmann, Klaas Stephan,

NeuroImage, 76

Research Collection

Variational Bayes Fixed Effects Random Effects Normal Binomial Balanced Accuracy Bayesian Inference Group Studies
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 Journal Article

TMARKER

Peter J. Schüffler, Thomas J. Fuchs, Cheng S. Ong, Peter J. Wild, Niels J. Rupp, Joachim M. Buhmann,

Journal of Pathology Informatics, 4

Research Collection

Color Deconvolution Pathology Nuclei Detection Superpixel Classification Segmentation Staining Estimation
2013 Other Conference Item

TMARKER: a robust and free software toolkit for histopathological cell counting and immunohistochemical staining estimation

Peter J. Schüffler, Niels J. Rupp, Cheng Soon Ong, Joachim M. Buhmann, Thomas J. Fuchs, Peter J. Wild,

97. Jahrestagung der Deutschen Gesellschaft für Pathologie e.V., 34

Research Collection

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 Book Chapter

SIMBAD

Joachim M. Buhmann,

Advances in computer vision and pattern recognition,

Research Collection

2013 Journal Article

Role Mining with Probabilistic Models

Mario Frank, Joachim M. Buhman, David Basin,

ACM Transactions on Information and System Security, 15

Research Collection