Robotics Innovation Center

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1. Bilal Wehbe; Luis Octavio Arriaga Camargo; Mario Michael Krell; Frank Kirchner

   Learning of Multi-Context Models for Autonomous Underwater Vehicles

   In: Proceedings of the AUV 2018 IEEE/OES Porto. IEEE/OES Autonomous Underwater Vehicles (AUV-2018), November 6-9, Porto, Portugal, IEEE, 11/2018.

2. Anett Seeland; Mario Michael Krell; Sirko Straube; Elsa Andrea Kirchner

   Empirical Comparison of Distributed Source Localization Methods for Single-Trial Detection of Movement Preparation

   In: Duke University Mikhail Lebedev (Hrsg.). Frontiers in Neuroscience, Vol. 12, Pages 1-15, Frontiers, 9/2018.

3. Leif Christensen; Mario Michael Krell; Frank Kirchner

   Learning Magnetic Field Distortion Compensation for Robotic Systems

   In: Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 24-28, Vancouver, BC, Canada, IEEE, 9/2017.

4. Bilal Wehbe; Alexander Fabisch; Mario Michael Krell

   Online Model Identification for Underwater Vehicles through Incremental Support Vector Regression

   In: IEEE/RSJ. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-17), September 24-28, Vancouver, British Columbia, Canada, Pages 4173-4180, ISBN 9781538626818, IEEE, 9/2017.

5. Mario Michael Krell; Su-Kyoung Kim

   Rotational Data Augmentation for Electroencephalographic Data

   In: Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-17), July 11-15, JeJu Island, South Korea, Korea, Republic of, IEEE, 7/2017.

6. Bilal Wehbe; Mario Michael Krell

   Learning Coupled Dynamic Models of Underwater Vehicles using Support Vector Regression

   In: Proceeding of Oceans '17 MTS/IEEE Aberdeen. OCEANS MTS/IEEE Conference (OCEANS-17), June 19-22, Aberdeen, United Kingdom, ISBN 9781509052783, IEEE, 6/2017.

7. Mario Michael Krell; Nils Wilshusen; Anett Seeland; Su-Kyoung Kim

   Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance

   In: Journal of Neural Engineering (JNE), Vol. 14, No. 2, Page 025003, IOP Publishing, 2/2017.

8. Elsa Andrea Kirchner; Niels Will; Marc Simnofske; Luis Manuel Vaca Benitez; Bertold Bongardt; Mario Michael Krell; Shivesh Kumar; Martin Mallwitz; Anett Seeland; Marc Tabie; Hendrik Wöhrle; Mehmed Yüksel; Anke Heß; Rüdiger Buschfort; Frank Kirchner

   Recupera-Reha: Exoskeleton Technology with Integrated Biosignal Analysis for Sensorimotor Rehabilitation

   In: 2. Transdisziplinäre Konferenz "Technische Unterstützungssysteme, die die Menschen wirklich wollen". Transdisziplinäre Konferenz "Technische Unterstützungssysteme, die die Menschen wirklich wollen", December 12-13, Hamburg, Germany, Pages 504-517, Elsevier, 12/2016.

9. Torben Hansing; Mario Michael Krell; Frank Kirchner

   hyperSPACE:Automated Optimization of Complex Processing Pipelines for pySPACE

   In: BayesOpt2016 - Bayesian Optimization: Black-box Optimization and Beyond. NIPS Workshop on Bayesian Optimization (BayesOpt-2016), located at NeurIPS 2016, December 10, Barcelona, Spain, n.n. 12/2016.

10. Mario Michael Krell; Sirko Straube

    Backtransformation: A new representation of data processing chains with a scalar decision function

    In: Advances in Data Analysis and Classification, Vol. 11, No. 2, Pages 415-439, Springer, 12/2015.

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