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Year: 2019
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Displaying results 11 to 20 of 576.

  1. Lukas Brausch; Holger Hewener; Paul Lukowicz

    Towards a wearable low-cost ultrasound device for classification of muscle activity and muscle fatigue

    In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2019), ACM, 2019.

  2. Parsha Pahlevannejad; Arnold Herget; Ramon Moreno; André Hennecke; Martin Ruskowski

    Implementation and Testing of a Modular System Architecture for Generic Hybrid Production Cells in an Industrial Environment

    In: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Annual Conference of the IEEE Industrial Electronics Society (IECON), Pages 4229-4234, Vol. 1, IEEE, 2019.

  3. Milos Kravcik; Ivan Cantador

    UMAP 2019 Workshops & Tutorials Overview and Organization

    In: UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2019), June 9-12, Larnaca, Cyprus, Pages 111-113, ISBN 978-1-4503-6711-0, Association for Computing Machinery, New York, NY, United States, 6/2019.

  4. Matias Valdenegro-Toro; Mariela De Lucas Alvarez; Mariia Dmitrieva; Bilal Wehbe; Georgios Salavasidis; Shahab Heshmati-Alamdari; Juan Francisco Fuentes-Pérez; Veronika Yordanova; Klemen Istenic; Thomas Guerneve

    Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics

    cs.RO, arXiv, 10/2019.

  5. Hali Lindsay; Johannes Tröger; Nicklas Linz; Jan Alexandersson; Johannes Prudlo

    Automatic detection of language impairment

    In: Proceedings of 10th International Conference of Experimental Linguistics. International Conference of Experimental Linguistics (ExLing-2019), Pages 133-136, International Society of Experimental Linguistics, 2019.

  6. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  7. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    BERT has a Moral Compass: Improvements of ethical and moral values of machines

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1912.05238, Pages 0-10, arXiv, 2019.

  8. Fabrizio Ventola; Karl Stelzner; Alejandro Molina; Kristian Kersting

    Random Sum-Product Forests with Residual Links

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.03250, Pages 0-10, arXiv, 2019.

  9. Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting

    SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1901.03704, Pages 0-10, arXiv, 2019.

  10. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

    Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

    In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.

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