| 2008 |
|---|
| 10 | EE | Dominik Brugger,
Sergejus Butovas,
Martin Bogdan,
Cornelius Schwarz,
Wolfgang Rosenstiel:
Direct and inverse solution for a stimulus adaptation problem using SVR.
ESANN 2008: 397-402 |
| 2007 |
|---|
| 9 | | Michael Bensch,
Dominik Brugger,
Wolfgang Rosenstiel,
Martin Bogdan,
Wilhelm G. Spruth,
Peter Baeuerle:
Self-Learning Prediction System for Optimisation of Workload Management in a Mainframe Operating System.
ICEIS (2) 2007: 212-218 |
| 2006 |
|---|
| 8 | EE | Martin Bogdan,
Michael Bensch:
Artificial neural networks and machine learning for man-machine-interfaces - processing of nervous signals.
ESANN 2006: 31-40 |
| 2005 |
|---|
| 7 | EE | Michael Bensch,
Michael Schröder,
Martin Bogdan,
Wolfgang Rosenstiel:
Feature selection for high-dimensional industrial data.
ESANN 2005: 375-380 |
| 6 | EE | Thomas Hermle,
Martin Bogdan,
Cornelius Schwarz,
Wolfgang Rosenstiel:
ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods.
ICANN (1) 2005: 121-126 |
| 5 | EE | Thomas Navin Lal,
Michael Schröder,
N. Jeremy Hill,
Hubert Preißl,
Thilo Hinterberger,
Jürgen Mellinger,
Martin Bogdan,
Wolfgang Rosenstiel,
Thomas Hofmann,
Niels Birbaumer,
Bernhard Schölkopf:
A brain computer interface with online feedback based on magnetoencephalography.
ICML 2005: 465-472 |
| 2004 |
|---|
| 4 | EE | Djones Lettnin,
Axel G. Braun,
Martin Bogdan,
Joachim Gerlach,
Wolfgang Rosenstiel:
Synthesis of Embedded SystemC Design: A Case Study of Digital Neural Networks.
DATE 2004: 248-255 |
| 2003 |
|---|
| 3 | EE | Martin Bogdan,
Michael Schröder,
Wolfgang Rosenstiel:
Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach.
ESANN 2003: 427-438 |
| 2001 |
|---|
| 2 | EE | Martin Bogdan,
Wolfgang Rosenstiel:
Detection of cluster in Self-Organizing Maps for controlling a prostheses using nerve signals.
ESANN 2001: 131-136 |
| 1999 |
|---|
| 1 | EE | Martin Bogdan,
Wolfgang Rosenstiel:
Application of Artificial Neural Networks for Different Engineering Problems.
SOFSEM 1999: 277-294 |
