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Jahr: 2019
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  1. Michael Barz; Daniel Sonntag

    Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.10149, Pages 1-13, arXiv, 8/2019.

  2. Shivesh Kumar

    Modular and Analytical Methods for Solving Kinematics and Dynamics of Series-Parallel Hybrid Robots

    PhD-Thesis, Universität Bremen: Informatik/Mathematik, 11/2019.

  3. Leif Christensen

    Robot Navigation in Distorted Magnetic Fields

    PhD-Thesis, Universität Bremen, ISBN urn:nbn:de:gbv:46-00107804-10, 11/2019.

  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), Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", September 30 - October 2, Berlin, Germany, Pages 230-240, CEUR, 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, Springer, Singapore, 2019.

  6. Oliver Berg; Pascal Reuß; Rotem Stram; Klaus-Dieter Althoff

    Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAK Framework

    In: Kerstin Bach; Cindy Marling (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), September 8-12, Otzenhausen, Germany, Pages 01-16, Springer, 2019.

  7. Alireza Koochali; Peter Schichtel; Andreas Dengel; Sheraz Ahmed

    Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN

    In: IEEE Access, Vol. 7, Pages 1-13, IEEE, 2019.

  8. Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff

    Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning

    In: José Pedro Sousa; Goncalo Castro Henriques; Joao Pedro Xavier (Hrsg.). Architecture in the age of the 4th industrial revolution - eCAADe SIGraDi 2019. eCAADe and SIGraDi Conference, Architecture in the Age of the 4th Industrial Revolution, September 11-13, Porto, Portugal, Pages 79-84, Vol. 2, ISBN 978-94-91207-18-1, eCAADe SIGraDi FAUP, Porto, 2019.

  9. Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff

    FLEA-CBR - A Flexible Alternative to the Classic 4R Cycle of Case-Based Reasoning

    In: Kerstin Bach; Cindy Marling (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), September 8-12, Otzenhausen, Germany, Pages 49-63, Springer, 2019.

  10. Jakob M. Schönborn; Klaus-Dieter Althoff

    Recent Trends in XAI: A Broad Overview on current Approaches, Methodologies and Interactions

    In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Explainable Knowledge in Computational Design, Media, and Teaching workshop. Workshop on Explainable Knowledge in Computational Design, Media, and Teaching (EK-CDMT-2019), located at Twenty-seventh International Conference on Case-Based Reasoning, September 8-12, Otzenhausen, Germany, CEUR-WS, 2019.

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