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Publications

Displaying results 291 to 300 of 563.

  1. Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker

    AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy

    In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.

  2. T. Vincent; F. Wahren; Jan Peters; B. Belousov; C. D'Eramo

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    In: ICML Workshop on Automated Reinforcement Learning. International Conference on Machine Learning (ICML-2024), ICML, 2024.

  3. Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

    Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

    In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

  4. Hardik Arora; Christoph Langenhan; Frank Petzold; Viktor Eisenstadt; Klaus-Dieter Althoff

    METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models

    In: Proceedings of the European Conference on Product and Process Modeling 2020-2021. European Conference on Product and Process Modeling (ECPPM-2021), May 5-7, Moscow, Russian Federation, European Association of Product and Process Modelling, 2021.

  5. Wei Jiang; Hans Dieter Schotten

    Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

    In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021), March 29 - April 1, Nanjing, China, IEEE, 2021.

  6. Marcel Heinz; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Development and Implementation of a Case-Based Reasoning Approach to Speed-Up Deep Reinforcement Learning through Case-Injection for AI Gameplay

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), September 9-11, Online, Pages 142-153, CEUR, 2020.

  7. Marco Schreyer; Timur Sattarov; Damian Borth; Andreas Dengel; Bernd Reimer

    Künstliche Intelligenz in der Wirtschaftsprüfung - Identifikation ungewöhnlicher Buchungen in der Finanzbuchhaltung

    In: Die Wirtschaftsprüfung (WPg), Vol. 71, Pages 674-681, IDW Verlag, 6/2018.

  8. 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.

  9. Julius Hülsmann; Jonas Traub; Volker Markl

    Demand-based sensor data gathering with multi-query optimization

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 12, Pages 2801-2804, VLDB Endowment, 2020.

  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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