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Year: 2020
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Displaying results 21 to 30 of 596.

  1. 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.

  2. 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. …

  3. Daniel Reti; Norman Becker

    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 …

  4. Daniel Reti; Daniel Fraunholz; Daniel Schneider; Janis Zemitis; Hans Dieter Schotten

    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 …

  5. 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.

  6. 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 …

  7. 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 …

  8. 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.

  9. Oliver Amft; Luis Ignacio Lopera; Paul Lukowicz; Sizhen Bian; Paul Burggraf

    Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing

    In: IEEE Pervasive Computing, Vol. 19, Pages 53-60, IEEE, 12/2020.

  10. Simon Duque Antón; Daniel Fraunholz; Daniel Schneider

    Investigating the Ecosystem of Offensive Information Security Tools

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

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