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Publikationen

Zeige Ergebnisse 1741 bis 1750 von 13891.

  1. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    Analyzing the potential of active learning for document image classification

    In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 26, Pages 187-209, Springer Nature, 4/2023.

  2. Rolf Drechsler; Sebastian Huhn

    Advanced Boolean Techniques

    Springer, 2023.

  3. Joao Maria Janeiro; Stanislav Frolov; Alaaeldin El-Nouby; Jakob Verbeek

    Are Visual Recognition Models Robust to Image Compression?

    In: International Conference on Machine Learning Workshop Neural Compression: From Information Theory to Applications. International Conference on Machine Learning (ICML-2023), Neural Compression: From Information Theory to Applications, Association for Computing Machinery (ACM), 2023.

  4. Dafna Burema; Nicole Debowski-Weimann; Alexander von Janowski; Jil Grabowski; Mihai Maftei; Mattis Jacobs; Patrick van der Smagt; Djalel Benbouzid

    A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context

    In: Francesca Rossi; Sanmay Das; Jenny Davis; Kay Firth-Butterfield; Alex John (Hrsg.). AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-2023), August 8-10, Montreal, Canada, Pages 705-714, ISBN 979-8-4007-0231-0, The Association for Computing Machinery, New York, NY, 8/2023.

  5. Christof Rauber; Lukas Brechtel; Hans Dieter Schotten

    JCAS-Enabled Sensing as a Service in 6th-Generation Mobile Communication Networks

    In: KuVS Fachgespräch - Würzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2023 (WueWoWAS'23). KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas-23), June 28-30, Würzburg, Germany, OPUS Universität Würzburg, 7/2023.

  6. An T. Le; Kay Hansel; Jan Peters; Georgia Chalvatzaki

    Hierarchical Policy Blending As Optimal Transport

    In: Nikolai Matni; Manfred Morari; George J. Pappas (Hrsg.). Proceedings of The 5th Annual Learning for Dynamics and Control Conference. Learning for Dynamics and Control Conference (L4DC-2023), June 14-16, Philadelphia, PA, USA, Pages 797-812, Proceedings of Machine Learning Research (PMLR), Vol. 211, PMLR, 2023.

  7. Daniel Palenicek; Michael Lutter; Joao Carvalho; Jan Peters

    Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

    In: The Eleventh International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2023), OpenReview.net, 2023.

  8. Vemburaj Yadav; Alain Pagani; Didier Stricker

    Camera-based position analysis system for cyclists ordering in bicycle swarms

    In: Workshop on Smart Urban Micromobility. Mensch und Computer (MuC-2023), September 3-6, Zürich, Switzerland, ACM, 2023.

  9. Sana Hassan Imam; Christopher Metz; Lars Hornuf; Rolf Drechsler

    Classifying Crowdsouring Platform Users’ Engagement Behaviour using Machine Learning and XAI

    In: UCAI 2023: Workshop on User-Centered Artificial Intelligence. Workshop on User-Centered Artificial Intelligence (UCAI-2023), located at Mensch und Computer 2023, September 3, Rapperswil, Switzerland, GI, 2023.

  10. Mohamed Nadeem; Jan Kleinekathöfer; Rolf Drechsler

    Polynomial Formal Verification exploiting Constant Cutwidth

    In: 34th International Workshop on Rapid System Prototyping (RSP). International Symposium on Rapid System Protoyping (RSP-2023), September 21, Hamburg, Germany, 2023.

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