Dr. Dominik Brugger

Content

Publications

Dr. Dominik Brugger

Publications

Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression

by Martin Bogdan, Dominik Brugger, Wolfgang Rosenstiel, and B. Speiser
In Journal of Cheminformatics 2014, 6:30, doi:10.1186/1758-2946-6-30, 2014. [BIB]

@inproceedings{MDWB2014,
  author = {Bogdan, Martin and Brugger, Dominik and Rosenstiel, Wolfgang and Speiser, B.},
  title = {Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression},
  booktitle = {Journal of Cheminformatics 2014, 6:30, doi:10.1186/1758-2946-6-30},
  year = {2014}
}

Online SVR Training by Solving the Primal Optimization Problem

by Dominik Brugger, Wolfgang Rosenstiel, and Martin Bogdan
In Journal of Signal Processing Systems, pages 1-12, 2010. [BIB]

@inproceedings{DWM2010,
  author = {Brugger, Dominik and Rosenstiel, Wolfgang and Bogdan, Martin},
  title = {Online SVR Training by Solving the Primal Optimization Problem},
  booktitle = {Journal of Signal Processing Systems},
  year = {2010},
  pages = {1-12},
  address = {http://dx.doi.org/10.1007/s11265-010-0514-5}
}

BCCI - A Bidirectional Cortical Communication Interface

by Armin Walter, Michael Bensch, Dominik Brugger, Wolfgang Rosenstiel, Martin Bogdan, Niels Birbaumer, and A. Gharabaghi
In In Proceedings of the International Joint Conference on Computational Intelligence, pages 440-445, 2009. [BIB]

@inproceedings{AMDWMNA102009,
  author = {Walter, Armin and Bensch, Michael and Brugger, Dominik and Rosenstiel, Wolfgang and Bogdan, Martin and Birbaumer, Niels and Gharabaghi, A.},
  title = {BCCI - A Bidirectional Cortical Communication Interface},
  booktitle = {In Proceedings of the International Joint Conference on Computational Intelligence},
  year = {2009},
  month = {oct},
  pages = {440-445},
  address = {Funchal},
  month_numeric = {10}
}

Online SVR Training by Solving the Primal Optimization Problem

by Dominik Brugger, Wolfgang Rosenstiel, and Martin Bogdan
In Proceedings of the 2009 IEEE Signal Processing Society Workshop, 2009. [BIB]

@inproceedings{DWM2009,
  author = {Brugger, Dominik and Rosenstiel, Wolfgang and Bogdan, Martin},
  title = {Online SVR Training by Solving the Primal Optimization Problem},
  booktitle = {Proceedings of the 2009 IEEE Signal Processing Society Workshop},
  year = {2009}
}

2008

Automatic Cluster Detection in Kohonen’s SOM

by Dominik Brugger, Martin Bogdan, and Wolfgang Rosenstiel
In IEEE Transactions on Neural Networks 19(3), 2008. [BIB]

@inproceedings{DMW032008,
  author = {Brugger, Dominik and Bogdan, Martin and Rosenstiel, Wolfgang},
  title = {Automatic Cluster Detection in Kohonen’s SOM},
  booktitle = {IEEE Transactions on Neural Networks},
  year = {2008},
  month = {mar},
  volume = {19},
  number = {3},
  series = {442-459},
  month_numeric = {3}
}

Direct and inverse solution for a stimulus adaptation problem using SVR.

by Dominik Brugger, Sergejus Butovas, Martin Bogdan, Cornelius Schwarz, and Wolfgang Rosenstiel
In ESANN, pages 397–402, 2008. [BIB]

@inproceedings{brugger2008direct,
  title = {Direct and inverse solution for a stimulus adaptation problem using SVR.},
  author = {Brugger, Dominik and Butovas, Sergejus and Bogdan, Martin and Schwarz, Cornelius and Rosenstiel, Wolfgang},
  booktitle = {ESANN},
  pages = {397–402},
  year = {2008}
}

2007

Self-Learning Prediciton System for Optimisation of Workload Managememt in a Mainframe Operating System

by Michael Bensch, Dominik Brugger, P. Baeuerle, Wolfgang Rosenstiel, Martin Bogdan, and W. Spruth
In International Conference on Enterprise Information Systems, 2007. [BIB]

@inproceedings{MDPWMW2007,
  author = {Bensch, Michael and Brugger, Dominik and Baeuerle, P. and Rosenstiel, Wolfgang and Bogdan, Martin and Spruth, W.},
  title = {Self-Learning Prediciton System for Optimisation of Workload Managememt in a Mainframe Operating System},
  booktitle = {International Conference on Enterprise Information Systems},
  year = {2007},
  address = {Funchal}
}