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Publications

Displaying results 1541 to 1550 of 15033.

  1. Rahol Kumar; Alexander Schultheis; Lukas Malburg; Maximilian Hoffmann; Ralph Bergmann

    Considering Inter-Case Dependencies During Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning

    In: Proceedings of the 35th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2022, Hutchinson Island, Jensen Beach, Florida, USA. International FLAIRS Conference (FLAIRS-2022), USA, FloridaOJ, 2022.

  2. A. T. Le; K. Hansel; J. Carvalho; J. Urain; A. Biess; G. Chalvatzaki; Jan Peters

    Global Tensor Motion Planning

    In: CoRL 2024 Workshop on Differentiable Optimization Everywhere. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  3. E. Helmut; L. Dziarski; N. Funk; B. Belousov; Jan Peters

    Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis

    In: 2nd NeurIPS Workshop on Touch Processing: From Data to Knowledge. Neural Information Processing Systems (NeurIPS-2024), NeurIPS, 2024.

  4. Simranjeet Singh; Ankit Bende; Chandan Jha; Vikas Rana; Rolf Drechsler; Sachin Patkar; Farhad Merchant

    In-Memory Mirroring: Cloning Without Reading

    In: IFIP/IEEE International Conference on Very Large-Scale Integration (VLSI-SoC). IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC-2024), October 6-9, Tanger, Morocco, 2024.

  5. Christoph Heinbach; Maximilian Birle; Goy-Hinrich Korn

    Transport-Equipment-as- a-Service: Intelligente Lkw-Trailer im datengetriebenen Speditionsgeschäft

    In: Wirtschaftsinformatik & Management (WuM), Vol. online first, Pages 1-12, Springer, 6/2024.

  6. Hannes Schlieter; Maren Kählig; Emily Hickmann; Daniel Fürstenau; Ali Sunyaev; Peggy Richter; Rüdiger Breitschwerdt; Christian Thielscher; Martin Gersch; Wolfgang Maass; Melanie Reuter-Oppermann; Lena Wiese

    Digitale Gesundheitsanwendungen (DiGA) im Spannungsfeld von Fortschritt und Kritik

    In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Vol. 67, Pages 107-114, Springer, 1/2024.

  7. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets\\(Extended Abstract)

    In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2024: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2024), 47th German Conference on AI, Würzburg, Germany, September 25–27, 2023, Proceedings, located at 47th German Conference on AI, September 25-27, Würzburg, Germany, Germany, LNAI, Springer, Heidelberg, 9/2024.

  8. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Active Learning in Multi-label Classification of Bioacoustic Data

    In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2024: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2024), 47th German Conference on AI, Würzburg, Germany, September 25–27, 2023, Proceedings, located at 47th German Conference on AI, September 25-27, Würzburg, Germany, Germany, LNAI, Springer, Heidelberg, 9/2024.

  9. Hannes Kath; Patricia P. Serafin; Ivan B. Campos; Thiago Gouvea; Daniel Sonntag

    Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning

    In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2024), located at IJCAI, August 03-09, Jeju. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 3-9, Jeju, Korea, Republic of, International Joint Conferences on Artificial Intelligence, 8/2024.

  10. Niko Kleer; Martin Feick; Amr Gomaa; Michael Feld; Antonio Krüger

    Bridging the Gap to Natural Language-based Grasp Predictions through Semantic Information Extraction

    In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2024), October 14-18, Abu Dhabi, United Arab Emirates, Pages 7476-7483, IEEE, 2024.

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