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Publications

Displaying results 31 to 40 of 596.
  1. Jessica Heesen; Jörn Müller-Quade; Stefan Wrobel; Jürgen Beyerer; Gunnar Brink; Wolfgang Faisst; Martin Hoffmann; Norbert Huchler; Elsa Andrea Kirchner; Tobias Matzner; Matthias Peissner; Christoph Peylo; Thomas Schauf; Sirko Straube; Oliver Suchy; Susann Wolfgram; Ute Schmid; Frauke Rostalski; Maximilian Poretschkin; Pascal Birnstill

    Zertifizierung von KI-Systemen, Kompass für die Entwicklung und Anwendung vertrauenswürdiger KI-Systeme

    11/2020.

  2. Klemens Budde; Teresa Dasch; Elsa Andrea Kirchner; Ursula Ohliger; MatthieuSchapranow; Thomas Schmidt; Anne Schwerk; Jack Thoms; Thomas Zahn; Karsten Hiltawsky

    Künstliche Intelligenz: Patienten im Fokus

    In: Deutsches Ärzteblatt, Vol. 49/2020, Deutsches Ärzteblatt, 12/2020.

  3. 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. …

  4. 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 …

  5. 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 …

  6. 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.

  7. 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 …

  8. 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 …

  9. 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.