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Publications

Page 2 of 4.

  1. Mario Michael Krell; Nils Wilshusen; Andrei Cristian Ignat; Su-Kyoung Kim

    Comparison of Data Selection Strategies For Online Support Vector Machine Classification

    In: Proceedings of the International Congress on Neurotechnology, Electronics and Informatics (http://www.neurotechnix.org/). International Congress …

  2. An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials

    In: IEEE Transactions on Biomedical Engineering (TBME), Vol. 62, No. 7, Pages 1696-1705, IEEE, 7/2015.

  3. Mario Michael Krell

    Generalizing, Decoding, and Optimizing Support Vector Machine Classification

    PhD-Thesis, University of Bremen, 3/2015.

  4. Mario Michael Krell; Hendrik Wöhrle

    New one-class classifiers based on the origin separation approach

    In: Pattern Recognition Letters (PRL), Vol. 53, Pages 93-99, Elsevier, 2/2015.

  5. Tim Tiedemann; Thomas Vögele; Mario Michael Krell; Jan Hendrik Metzen; Frank Kirchner

    Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region

    In: Papers from the 2015 AAAI Workshop. Workshop on AI for Transportation (WAIT-2015), January 25-26, Austin, USA, AAAI Press, 1/2015.

  6. Alexander Fabisch; Jan Hendrik Metzen; Mario Michael Krell; Frank Kirchner

    Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning

    In: Hermann Engesser (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche …

  7. Mario Michael Krell; Anett Seeland; Hendrik Wöhrle

    raxDAWN: Circumventing Overfitting of the Adaptive xDAWN

    In: Proceedings of the International Congress on Neurotechnology, Electronics and Informatics (http://www.neurotechnix.org/). International Congress …

  8. Mario Michael Krell; Andrei Cristian Ignat

    pySPACE - What’s New?

    Bericht, DFKI GmbH, DFKI Documents (D), Vol. 14-07, 11/2014.

  9. Generalizing, Optimizing, and Decoding Support Vector Machine Classification

    Poster, DFKI GmbH, DFKI Documents (D), Vol. 14-07, 11/2014.

  10. Hendrik Wöhrle; Johannes Teiwes; Mario Michael Krell; Anett Seeland; Elsa Andrea Kirchner; Frank Kirchner

    Reconfigurable Dataflow Hardware Accelerators for Machine Learning and Robotics

    In: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. European Conference on …