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Publications

Displaying results 811 to 820 of 14835.

  1. Henri Hoyez; Bruno Mirbach; Jason Raphael Rambach; Cedric Schockaert; Didier Stricker

    Which Time Series Domain Shifts can Neural Networks Adapt to?

    In: Proceedings of. European Signal Processing Conference (EUSIPCO-2024), IEEE, 2024.

  2. Daniel Sonntag; Michael Barz; Thiago Gouvea

    A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

    German Research Center for AI, DFKI Technical Report, 6/2024.

  3. Florian Brand; Lukas Malburg; Ralph Bergmann

    Large Language Models as Knowledge Engineers

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), Mérida, Mexico, July 1, 2024. International Conference on Case-Based Reasoning (ICCBR-2024), Pages 3-18, CEUR Workshop Proceedings, Vol. 3708, CEUR-WS.org, 2024.

  4. Mirko Lenz; Lukas Malburg; Ralph Bergmann

    CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2024), Merida, Mexico, Pages 289-304, Lecture Notes in Computer Science (LNCS), Vol. 14775, ISBN 978-3-031-63646-2, Springer Nature Switzerland, Cham, 2024.

  5. Lukas Malburg; Maxim Hotz; Ralph Bergmann

    Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation

    In: Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2024), Pages 50-66, Lecture Notes in Computer Science, Vol. 14775, Springer, 2024.

  6. Bernhard Vogginger; David Kappel; Ulrike Faltings; Michael Schäfer; Andreas Hantsch; Sebastian Gawron; Dusan Dokic

    ESCADE - Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

    ISC High Performance 2024 (ISC), Poster Presentations, 5/2024.

  7. Nikolas Dahn; Miguel Bande Firvida; Proneet Kumar Sharma; Leif Christensen; Oliver Geisler; Jochen Mohrmann; Torsten Frey; Prithvi Sanghamreddy; Frank Kirchner

    An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)

    In: OCEANS. OCEANS MTS/IEEE Conference (OCEANS-2024), September 23-26, Halifax, Kanada, Canada, IEEE, 9/2024.

  8. Nikolas Dahn; Christopher Gaudig; Tim Lehr; Niklas Pech; Peter Kampmann; Leif Christensen; Frank Kirchner

    Autonomous Docking between a Mobile Subsea Docking Station and an AUV while in Motion

    In: OCEANS. OCEANS MTS/IEEE Conference (OCEANS-2024), September 23-26, Halifax, Kanada, Canada, IEEE, 9/2024.

  9. Mahta Bakhshizadeh

    Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems

    In: Proceedings of the 18th ACM Conference on Recommender Systems. ACM Recommender Systems (RecSys-2024), located at 18th ACM Conference on Recommender Systems, October 14-18, Bari, Italy, Association for Computing Machinery, 10/2024.

  10. Kartik Chari; Niklas Kueper; Su-Kyoung Kim; Frank Kirchner; Elsa Andrea Kirchner

    IntEr-HRI Competition: Intrinsic Error Evaluation during Human-Robot Interaction

    In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 5-9, Jeju Island, Korea, Republic of, Pages 8623-8626, International Joint Conferences on Artificial Intelligence Organization, 8/2024.

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