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

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

Follow Us

Publications - page 16

The Binormal Assumption on Precision-Recall Curves

Kay H Brodersen, Cheng Soon Ong, Klaas Stephan, Joachim M. Buhmann,

20th International Conference on Pattern Recognition (ICPR 2010),

Research Collection

The Balanced Accuracy and Its Posterior Distribution

Kay H Brodersen, Cheng Soon Ong, Klaas Stephan, Joachim M. Buhmann,

20th International Conference on Pattern Recognition (ICPR 2010),

Research Collection

Speech Enhancement with Sparse Coding in Learned Dictionaries

Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann,

35th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010),

Research Collection

Sound Field Indicators for Hearing Activity and Reverberation Time Estimation in Hearing Instruments

Andreas P. Streich, Manuela Feilner, Alfred Stirnemann, Joachim M. Buhmann,

128th Audio Engineering Society Convention 2010 (AES London 2010),

Research Collection

Regularized online learning of pseudometrics

Y. Moh, Joachim M. Buhmann,

2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),

Research Collection

Proteome Coverage Prediction for Integrated Proteomics Datasets-2010

Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann,

14th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2010), 6044

Research Collection

On the definition of role mining

Mario Frank, Joachim M. Buhmann, David Basin,

15th ACM Symposium on Access Control Models and Technologies (SACMAT 2010),

Research Collection

Neuron Geometry Extraction by Perceptual Grouping in ssTEM Images

Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition 2010 (CVPR 2010),

Research Collection

Learning the Compositional Nature of Visual Object Categories for Recognition

Björn Ommer, Joachim M. Buhmann,

IEEE Transactions on Pattern Analysis and Machine Intelligence, 32

Research Collection

Information theoretic model validation for clustering

Joachim M. Buhmann,

International Symposium on Information Theory (ISIT 2010),

Research Collection