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Publikationen

Zeige Ergebnisse 1451 bis 1460 von 13867.

  1. Daniel Lukats; Frederic Theodor Stahl

    On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research

    In: Artificial Intelligence XL - SGAI 2023, International Conference on Innovative Techniques and Applications of Artificial Intelligence. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2023), December 12-14, Cambridge, United Kingdom, Pages 204-209, Lecture Notes in Computer Science (LNCS, volume 14381), Vol. 14381, Springer Nature Switzerland AG, Basel, 11/2023.

  2. Tatiana Anikina; Natalia Skachkova; Anna Mokhova

    Multilingual coreference resolution: Adapt and Generate

    In: Zdeněk ´abokrtský; Maciej Ogrodniczuk (Hrsg.). Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution. Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC-2023), located at EMNLP 2023, December 6-7, Singapore, Singapore, Pages 19-33, Association for Computational Linguistics, 12/2023.

  3. Vera Hagemann; Michèle Rieth; Amrita Suresh; Frank Kirchner

    Human-AI Teams-Challenges for a Team-Centered AI at Work

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-6, Frontiers, 9/2023.

  4. Miles Al Mehdawi; Tobias Dreesbach; Henning Gösling; Marcel Brinkmann

    Investigating the Use of Augmented Reality and Machine Learning in Electrical Engineering Courses

    In: Milad Mirbabaie (Hrsg.). Wirtschaftsinformatik 2023 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2023), September 18-21, Paderborn, Germany, 18. Internationale Tagung Wirtschaftsinformatik, Paderborn, 2023.

  5. Johanna Bethge; Maik Pfefferkorn; Alexander Rose; Jan Peters; Rolf Findeisen

    Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2303.04725, Pages 0-10, arXiv, 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. Mohamed Selim; Pablo López de Uralde; Jon Mata; Eider Gorostegui-Colinas; Beatriz Chicote; Alain Pagani; Didier Stricker

    Vision-Based Ladle Monitoring System for Steel Factories

    In: Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), September 19, Kaiserslautern, Germany, 2023.

  9. Felix Theusch; Lukas Seemann; Achim Guldner; Stefan Naumann; Ralph Bergmann

    Towards Machine Learning-based Digital Twins in Cyber-Physical Systems

    In: Gianfranco Lombardo; Marco Picone; Diego Reforgiato Recupero; Giuseppe Vizzari (Hrsg.). Proceedings of The First Workshop on AI for Digital Twins and Cyber-Physical Applications (AI4DT&CP). IJCAI Workshop on AI for Digital Twins and Cyber-Physical Applications (AI4DT&CP-2023), located at IJCAI International Joint Conference on Artificial Intelligence 2023, August 19, Macao, Macao, CEUR, 2023.

  10. 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.

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