Machine Learning / Intelligent Data Analysis
Group

[Deutsch]

The group is concerned with questions in the area of intelligent data analysis (IDA). In the information age, IDA goes beyond the pure collection and organisation of data. Recognizing interrelationships and dependencies in the data is an important aspect, in particular, if no easy modelling approaches are available. Therefore, the group develops and applies intelligent algorithms for the analysis and processing of complex data set.

Research Areas

The group contributes to the theoretically well-founded development of novel data analysis techniques, and to their implementation and application. For example:

Algorithms

• Machine learning methods for robust classification and regression of high-dimensional, multivariate data, in particular using support vector machines (SVMs), and artificial neural nets.
• Clustering methods and algorithms for outlier detection.
• Signal processing methods, in particular for the analyis of non-linear and non-stationary time series.

Applications

• EEG-based Brain-Computer Interface (BCI)
• Mental workload-detection of car drivers
• Handwritten character recognition (OCR)
• Intrusion detection in computer networks
• Classification of data coming from high-energy physics
• Analysis of DNA and protein structure
• Analysis of finanical data
• Acoustic source separation (cocktail-party problem)
• Computational chemistry (Toxicity benchmark data set)

Current Events

• BCI Workshop on Advances in Neurotechnology, Berlin 2009. [more information]

People

Group leader	Email	Phone +49 (0) 30 / 314 -	Room
Prof. Dr. Klaus-Robert Müller		78620	FR6051	[homepage]
Secretary
Andrea Gerdes		78621	FR6052
Fax		78622
System Administrator
Walter Smith		78778	FR6050
Group members
Daniel Bartz		78754	FR6526
Felix Bießmann		78628	FR6059	[homepage]
Dr. Benjamin Blankertz		78625	FR6056	[homepage]
Dr. Mikio Braun		78627	FR6058	[homepage]
Dr. Ulf Brefeld		78630	FR6061	[homepage]
Martón Danoczy		78753	FR6525
Dr. Thorsten Dickhaus		78624	FR6055	[homepage]
Siamac Fazli		78626	FR6057
Katja Hansen		24927	FR6049
Stefan Haufe		78626	FR6057	[homepage]
Dr. Christian Hesse		78754	FR6526
Nikolay Jetchev		78755	FR6062	[homepage]
Matthias Jugel		78629	FR6060
Marius Kloft		78752	FR6060	[homepage]
Dr. Nicole Krämer		78627	FR6058	[homepage]
Tobias Lang		24927	FR6049	[homepage]
Pascal Lehwark		78752	FR6523	[homepage]
Frank Meinecke		78628	FR6059
Grégoire Montavon		78752	FR6523	[homepage]
Nils Plath		78755	FR6062	[homepage]
Konrad Rieck		78630	FR6061	[homepage]
Claudia Sannelli		78624	FR6055
Evert-Jan Martijn Schreuder		24927	FR6049	[homepage]
Dr. Michael Tangermann		78624	FR6055	[homepage]
Paul von Bünau (on leave to Toyko Tech)		78628	FR6059
Dr. Marc Toussaint		24470	FR6048	[homepage]
Bastian Venthur		78626	FR6057	[homepage]
Dr. Carmen Vidaurre		78625	FR6056
Dr. Andreas Ziehe		78630	FR6061	[homepage]
Students
David Baehrens
Petra Broutschek
Sven Dähne
Nico Görnitz
Konrad Grzeska
Christoph Häusler
Maria Kramarek
Jan-Saputra Müller
Rithwik Mutyala
Lenny Ramsey
Fabian Rathke
Torsten Schmits
Svenja Specovius
Irene Sturm
Guests
Cecilia Maeder
Alumni
Christine Carl
Dr. Robert Jenssen
Matthias Krauledat
Dr. Steven Lemm
Dr. Shin-ichi Nakajima
Timon Schroeter (now at Bayer Schering Pharma)
Ryota Tomioka

Current Projects

• Network project: Brain@Work - "Development of neurotechnology based man-man-machine interaction application for industrial environments" (BMBF, 2008-2011)
• Network project: BFNT - Bernstein Focus Neurotechnology (BFNT-B) "Non-Invasive Neurotechnology for Man-Machine-Interaction" (BMBF, 2008-2013)
• Project C4 in the Bernstein Center for Computational Neuroscience Berlin "Optimizing human performance through real-time EEG feedback" (BMBF, 2004-2010)
• Vital-BCI - "Improving Interactive Learning of Man and Machine" (DFG, 2007-2009)
• Network project Bernstein Partner: Neurovascular Coupling, project part 2 (BMBF)
• Tools for Brain-Computer Interaction - TOBI (EU, November 2008-)
• Machine Learning for Computational Finance (QPL and Deutsche Bank)
• ReMIND - Machine Learning for Real-Time Intrusion Detection and Defence (BMBF)
• ChemML - Machine learning methods for chemoinformatics (DFG) (Toxicity benchmark data set)
• FaSor - Driver as Sensor (BMBF)
• DFG Emmy Noether Independent Junior Research Group - "Machine Learning and internal representations in behaviour planning, motor control, and robotics"
• Learning methods for automatic analysis of malware behavior (LAMA)
• Twimpact - Real-time twitter trending and user impact

Teaching (mostly in German)

Teaching information can now be found on our new website

In the summer term 2009 we offer the following courses:

• Seminar: Machine Learning for Intelligent Robots [Info]
• Introduction to Computer Assisted Data Analysis with Matlab [Info]
• Practical Course in Machine Learning and Data Analysis [Info]
• Introduction to Graphical Models [VV | Info]
• Machine Learning 2 [info]
• Integrated lecture and tutorials: Acquisition and Analysis of Neuronal Data [VV | Info]

In the winter term 2008/2009 we offered the following courses

• Machine Learning 1 [VV] [info]
• Connectivity in Time Series Analysis [VV]
• Seminar "Feature Selection" [VV]
• Seminar "Semi-supervised Learning" [VV]
• Seminar "Learning under Nonstationarity" [info]
• Project on Biomedical Data Analysis [VV]
• Introduction to Data Analysis with Matlab [VV | Info]
• Seminar for PhD and Diploma Students "Machine Learning" [info]

In the summer term 2008 we offered the following courses:

• Machine Learning - Theory and Applications [Info]
• Seminar: Causality [Info]
• Seminar for PhD and Diploma Students [Info]
• Introduction to Data Analysis with Matlab [Info]
• Practical Course in Machine Learning and Data Analysis [Info]
• Integrated lecture and tutorials: Acquisition and Analysis of Neuronal Data [VV | Info]

In the winter term 2007/2008 we offered the following courses:

• Introduction to Data Analysis with Matlab [Info]
• Project Machine Learning [Info]
• Machine Learning 1 [Info | VV]
• Seminar "Learning on Structured Data" [Info | VV]
• Seminar for PhD and Diploma Students [Info | VV]
• Seminar "Regression and Optimization Methods in Robotics" [Info | VV]

In the summer term 2007 we offered the following courses:

• Machine Learning - Theory and Applications [VV | Info]
• Acquisition and Analysis of Neuronal Data (lecture + exercises) [VV | Info]
• Introduction to Data Analysis with Matlab and R (short course) [VV | Info ]
• Machine Learning and Data Analysis (Practical Course) [VV | Info]
• Seminar on Dimension Reduction [VV | Info]
• Seminar on Bayesian Methods in Machine Learning [VV | Info]

In the winter term 2006/2007 we offered the following courses:

• Lecture Machine Learning 1 (ID Course) [VV | Info]
• Seminar on Boosting and Model Averaging [VV | Info]
• Seminar for Diploma and Ph.D. Students [VV | Info]

Cooperations

We are closely collaborating with a number of institutions, including:

• Fraunhofer Institut FIRST.IDA, Berlin
• Dept. of Neurology at Campus Benjamin Franklin
• idalab, Berlin
• Bernstein Center for Computational Neuroscience Berlin (BCCN)
• Tokio Institute of Technology, Japan
• University of Glasgow: Dynamics and Interaction Group Scotland
• NIKON Corporation, Optical Research Laboratory, Saitama, Japan

Spin-offs

• idalab
• PICO Imaging Technologies
• Pyrexx Rauchmelder
• inuendo.ch
• ladenzeile.de
• PX-Technologies

Seite erstellt am 10. Oktober 2006 von Mikio Braun (). Letzte Änderung . Site information