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Publications

Displaying results 25 to 30 of 567.
  1. Kumar Shridhar; Joonho Lee; Hideaki Hayashi; Purvanshi Mehta; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida; Sheraz Ahmed; Andreas Dengel

    ProbAct: A Probabilistic Activation Functionfor Deep Neural Networks

    In: OPT2020: 12th Annual Workshop on Optimization for Machine Learning. Workshop on Optimization for Machine Learning (OPT-2020), located at …

  2. Some Shades of Grey!: Interpretability and Explainability of Deep Neural Networks

    In: Proceedings WCRML19. ACM Workshop on Crossmodal Learning and Application, Ottawa, Canada, ISBN 978-1-4503-6780-6, Association for Computing …

  3. Marcel Kolbe; Pascal Reuß; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Conceptualization and Implementation of a Reinforcement Learning Approach Using a Case-Based Reasoning Agent in a FPS Scenario

    In: Robert Jäschke; Matthias Weidlich (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2019), …

  4. Viktor Eisenstadt; Klaus-Dieter Althoff

    Overview of the 4R CBR Cycle Modifications (Extended Version)

    In: Robert Jäschke; Matthias Weidlich (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2019), …

  5. Viktor Eisenstadt; Christoph Lanhgenhan; Klaus-Dieter Althoff

    Supporting Architectural Design Process with FLEA - A Distributed AI Methodology for Retrieval, Suggestion, Adaptation, and Explanation of Room Configurations

    In: Ji-Hyun Lee (Hrsg.). Computer-Aided Architectural Design. "Hello, Culture". CAAD Futures, June 26-28, Daejeon, Korea, Republic of, Pages 58-73, …