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Publications

 

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Displaying results 71 to 80 of 13046.
  1. "Strukturieren, Strukturieren, Strukturieren" in the Era of Robotic Process Automation

    In: Katrin Bergener; Michael Räckers; Armin Stein (Hrsg.). The Art of Structuring. Pages 191-201, ISBN 978-3-030-06233-0 (print); 978-3-030-06234-7 …

  2. Mobile Context Aware Group Recommendation

    In: Wi 2019. Internationale Tagung Wirtschaftsinformatik (WI-2019), February 25, Siegen, Germany, 2019.

  3. Shubham Vyas; Marko Jankovic; Frank Kirchner

    Momentum Based Classification for Robotic Active Debris Removal

    In: 71th International Astronautical Congress. International Astronautical Congress (IAC-2020), located at 71th, October 12-14, Online-Conference, …

  4. Viktor Eisenstadt; Klaus-Dieter Althoff

    RALE-ACL - A Language for Information Exchange between Case-Based Agents as Alternative to the FIPA-ACL-Based Communication

    In: Roman Barták; Eric Bell (Hrsg.). Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference. …

  5. Escape the Fake: Introducing Simulated Container-Escapes for Honeypots

    In: Hans Dieter Schotten; Bin Han (Hrsg.). Proceedings of the 1st Workshop on Next Generation Networks and Applications. Workshop on Next Generation …

  6. Deep Down the Rabbit Hole: On References in Networks of Decoy Elements

    In: 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security). International Conference on Cyber Security …

  7. Lauren Michelle Pfeifer; Matias Valdenegro-Toro

    Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

    In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS2020, December 7, Virtual, Keine, 2020.

  8. Akshatha Kamath; Dwaraknath Gnaneshwar; Matias Valdenegro-Toro

    Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation

    In: ICBINB@NeurIPS 2020 - Bridging the gap between theory and empiricism in probabilistic machine learning. I Can't Believe It's Not Better! Workshop …

  9. Matthias Rosynski; Frank Kirchner; Matias Valdenegro-Toro

    Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

    In: ICBINB@NeurIPS 2020 - Bridging the gap between theory and empiricism in probabilistic machine learning. I Can't Believe It's Not Better! Workshop …

  10. Luis Octavio Arriaga Camargo; Matias Valdenegro-Toro

    Unsupervised Difficulty Estimation with Action Scores

    In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS 2020, December 7, Virtual, arXiv, 2020.