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 10

2009 Conference Paper

Randomized tree ensembles for object detection in computational pathology

Thomas J. Fuchs, Johannes Haybaeck, Peter J. Wild, Mathias Heikenwalder, Holger Moch, Adriano Aguzzi, Joachim M. Buhmann,

5th International Symposium on Advances in Visual Computing (ISVC 2009), 5875

Research Collection

2009 Conference Paper

Optimized expected information gain for nonlinear dynamical systems

Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann,

26th Annual International Conference on Machine Learning, 382

Research Collection

2009 Conference Paper

Manifold Regularization for Semi-Supervised Sequential Learning

Yvonne Moh, Joachim M. Buhmann,

34th IEEE International Conference on Acoustics, Speech and Signal Processing 2009 (ICASSP 2009),

Research Collection

Classifier Adaptation Online Learning Semi Supervised Learning
2009 Conference Paper

Inter-active learning of randomized tree ensembles for object detection

Thomas J. Fuchs, Joachim M. Buhmann,

12th International Conference on Computer Vision workshops (ICCV workshops 2009),

Research Collection

2009 Conference Paper

Ignoring Co-Occurring Sources in Learning from Multi-Labeled Data Leads to Model Mismatch

Andreas P. Streich, Joachim M. Buhmann,

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2009,

Research Collection

2009 Conference Paper

Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue

Xenofon Floros, Thomas J. Fuchs, Markus P. Rechsteiner, Giatgen Spinas, Holger Moch, Joachim M. Buhmann,

12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2009), 5762

Research Collection

2009 Conference Paper

A probabilistic approach to hybrid role mining

Mario Frank, Andreas P. Streich, David Basin, Joachim M. Buhmann,

16th ACM conference on Computer and communications security,

Research Collection

2008 Conference Paper

Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma

Thomas J. Fuchs, Tilman Lange, Peter J. Wild, Holger Moch, Joachim M. Buhmann,

30th DAGM Symposium on Pattern Recognition, 5096

Research Collection

2008 Conference Paper

Probabilistic Image Registration and Anomaly Detection by Nonlinear Warping-2008

Verena Kaynig, Bernd Fischer, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008),

Research Collection

2008 Conference Paper

Music Preference Learning with Partial Information

Yvonne Moh, Peter Orbanz, Joachim M. Buhmann,

IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 (ICASSP 2008),

Research Collection

Music Classification Online Learning Semi Supervised Learning