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Publications

Displaying results 351 to 360 of 13809.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Capturing Task-related Information for Text-based Grasp Classification using Fine-tuned Embeddings

    In: Elmar Nöth; Aleš Horák; Petr Sojka (Hrsg.). 27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024. International Conference on Text, Speech and Dialogue (TSD-2024), September 9-13, Brno, Czech Republic, Pages 288-299, ISBN 978-3-031-70566-3, Springer International Publishing, Switzerland, 9/2024.

  7. Niko Kleer; Ole Keil; Martin Feick; Amr Gomaa; Tim Schwartz; Michael Feld

    Incorporation of the Intended Task into a Vision-based Grasp Type Predictor for Multi-fingered Robotic Grasping

    In: 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN-2024), August 26-30, Pasadena, California, USA, Pages 1301-1307, IEEE, 2024.

  8. Attitude Control of the Hydrobatic Intervention AUV Cuttlefish using Incremental Nonlinear Dynamic Inversion

    In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2024), October 14-18, Abu Dhabi, United Arab Emirates, IEEE, 10/2024.

  9. Retrieval-Augmented Knowledge Integration into Language Models: A Survey

    In: Sha Li; Manling Li; Michael JQ Zhang; Eunsol Choi; Mor Geva; Peter Hase; Heng Ji (Hrsg.). Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024). Workshop on Towards Knowledgeable Language Models (KnowLLM-2024), Bangkok, Thailand, Pages 45-63, Association for Computational Linguistics, 2024.

  10. Faraz Maschhur; Klaus Netter; Sven Schmeier; Katrin Ostermann; Rimantas Palunis; Tobias Strapatsas; Roland Roller

    Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios

    In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Workshop on Biomedical Natural Language Processing (BioNLP-2024), Bangkok, Thailand, Pages 559-569, Association for Computational Linguistics, 2024.