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Jahr: 2019
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  1. Jonas Traub; Jorge Arnulfo Quiane Ruiz; Zoi Kaoudi; Volker Markl

    Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.03026, Page 3026, arXiv, 2019.

  2. Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Cases without borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-based Reasoning

    In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence (AAAI SSS-2019), November 4-6, Portland, OR, USA, Pages 133-140, ISBN 978-1-7281-3798-8, IEEE Digital Library, 11/2019.

  3. Kareem Amin; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Building Knowledge Intensive Architectures for heterogeneous NLP workflows

    In: Artificial Intelligence XXXVI. SGAI International Conference on Artificial Intelligence (AI-2019), December 17-19, Cambridge, United Kingdom, Springer, 2019.

  4. Michael Weber; David Michael Fürst; J. Marius Zöllner

    Direct 3D Detection of Vehicles in Monocular Images with a CNN Based 3D Decoder

    In: 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2019), IEEE, 2019.

  5. Hans-Jürgen Profitlich; Daniel Sonntag

    Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models

    BMBF, DFKI Research Reports (RR), Vol. abs/1911.12119, ArXiv, 2019.

  6. 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), September 30 - October 2, Berlin, Germany, Pages 280-291, CEUR, 2019.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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