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Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 1 to 10 of 599.
  1. Sharam Dadashnia; Constantin Houy; Peter Loos

    Usability Mining - Automated Analysis of Information System Usability based on Process Mining

    In: Jan vom Brocke; Alan Hevner; Alexander Maedche. Design Science Research. Cases. Pages 155-176, ISBN 978-3-030-46780-7, Springer, Berlin, 9/2020.

  2. Constantin Houy; Oliver Gutermuth; Sharam Dadashnia; Peter Loos

    Digitale Polizeiarbeit

    In: Tanja Klenk; Frank Nullmeier; Göttrik Wewer. Handbuch Digitalisierung in Staat und Verwaltung. Chapter 48, ISBN 978-3-658-23667-0, VS Verlag für …

  3. Alexander Dettmann; Daniel Kuehn; Frank Kirchner

    Control of Active Multi-Point-Contact Feet for Quadrupedal Locomotion

    In: International Journal of Mechanical Engineering and Robotics Research (IJMERR), Vol. 9, Pages 481-488, IJMERR, 3/2020.

  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.