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Jahr: 2019
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  1. 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), …

  2. 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, …

  3. 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), …

  4. 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.

  5. 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 …

  6. 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), …

  7. Christian Murlowski; Rebecca Jakobs; Julia Knopf

    Digitales Lernen mit Computerspielen

    In: didacta DIGITAL, Vol. 1, Pages 20-23, AVR Agentur für Werbung und Produktion GmbH, München, 2/2019.

  8. Tewodros Amberbir Habtegebrial; Gerd Reis; Didier Stricker

    Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and …

  9. Antonio Bucchiarone; Martina De Sanctis; Peter Hevesi; Marco Hirsch; Francisco Javier Royo Abancens; Pablo Fernandez Vivanco; Orkhan Amiraslanov; Paul Lukowicz

    Smart Construction: Remote and Adaptable Management of Construction Sites through IoT

    In: IEEE Internet of Things Magazine, Vol. 2, No. 3, Pages 38-45, IEEE, 9/2019.

  10. Steve Dias Da Cruz; Oliver Wasenmüller; Hans-Peter Beise; Thomas Stifter; Didier Stricker

    An Overview of the SVIRO Dataset and Benchmark

    In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2019), October 8, Kaiserslautern, Germany, ACM, 2019.

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