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Publications

Displaying results 861 to 870 of 15094.

  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. 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.

  3. 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.

  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. 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.

  6. Mhd Rashed Al Koutayni; Gerd Reis; Didier Stricker

    DeepEdgeSoC: End-to-end deep learning framework for edge IoT devices

    In: Internet of Things, Vol. 21, Pages 1-18, Elsevier, 4/2023.

  7. Gregor Duwe; Dominique Mercier; Crispin Wiesmann; Verena Kauth; Kerstin Moench; Markus Junker; Christopher C. M. Neumann; Axel Haferkamp; Andreas Dengel; Thomas Höfner

    Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology

    In: John Wiley (Hrsg.). Cancer Medicine, Vol. 13, No. 12, Pages 1-13, Wiley, 6/2024.

  8. Franek Stark; Shubham Vyas; Georg Schildbach; Frank Kirchner

    Mixed Integer Model Predictive Control for a free-floating platform with binary and continuous actuation

    In: Proceedings of the 2024 CEAS EuroGNC conference. CEAS Conference on Guidance, Navigation and Control (EuroGNC-2024), June 11-13, Bristol, United Kingdom, CEAS, Bristol, UK, 2024.

  9. Tahira Shehzadi; Shalini Sarode; Didier Stricker; Muhammad Zeshan Afzal

    Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer

    In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), Athens, Greece, No. 1-15, Springer, 2024, 2024.

  10. Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal

    Towards end-to-end semi-supervised table detection with deformable transformer

    In: International Conference on Document Analysis and Recognition (ICDAR-2023). International Conference on Document Analysis and Recognition (ICDAR-2023), Pages 51-76, Springer Nature Switzerland, San Jose, USA, 8/2023.

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