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Publikationen

Zeige Ergebnisse 1381 bis 1390 von 15006.

  1. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Structural causal models reveal confounder bias in linear program modelling

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 3, Pages 1329-1349, Springer, 2024.

  2. Amr Gomaa; Bilal Mahdy; Niko Kleer; Antonio Krüger

    Towards a surgeon-in-the-loop ophthalmic robotic apprentice using reinforcement and imitation learning

    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 6939-6946, IEEE, 2024.

  3. Nina Wiegers; Sebastian Germer; Christiane Rudolph; Katharina Rausch; Natalie Rath; Heinz Handels

    A Comparison of Imputation Techniques to Improve Lung Cancer Survival Estimation

    In: Thorsten M. Buzug; Heinz Handels; Christian Hübner; Alfred Mertins; Stefan Müller; Philipp Rostalski; Nico Bunzeck (Hrsg.). Student Conference Proceedings 2024. Student Conference on Medical Engineering Science, Lübeck, Germany, Pages 231-234, ISBN 978-3-945954-73-7, Infinite Science Publishing, 2024.

  4. Mohammad Minouei; Reza Soheili; Didier Stricker

    Multimodal approach for imbalanced document classification

    In: Wolfgang Osten (Hrsg.). Seventeenth International Conference on Machine Vision (ICMV 2024). International Conference on Machine Vision (ICMV-2024), October 10-13, Edinburg, United Kingdom, Pages 347-358, SPIE Conference Proceedings, Vol. 13517, SPIE, 2024.

  5. Jonas Bley; Eva Rexigel; Alda Arias; Nikolas Longen; Lars Krupp; Maximilian Kiefer-Emmanouilidis; Paul Lukowicz; Anna Donhauser; Stefan Küchemann; Jochen Kuhn; Artur Widera

    Visualizing entanglement in multiqubit systems

    In: Physical Review Research, Vol. 6, No. 2, Pages 0-0, APS, 2024.

  6. Tsan Tsai Chan; Kai Lange; Ruoxuan Liu; Alessa Wein; Nina Keßler; Maxx Richard Rahman; Wolfgang Maaß

    Towards Objectively Interpretable Fault Diagnosis forTime-Series Data in Grinding

    In: Workshop on Information Technology and Systems. Workshop on Information Technology and Systems (WITS-2024), WITS, 12/2024.

  7. Zaynab Batool Reza; Abdul Rafay Syed; Omer Iqbal; Ethel Mensah; Qian Liu; Maxx Richard Rahman; Wolfgang Maaß

    RAG for Effective Supply Chain SecurityQuestionnaire Automation

    In: Workshop on Information Technology and Systems. Workshop on Information Technology and Systems (WITS-2024), WITS, 12/2024.

  8. Maxx Richard Rahman; Wolfgang Maaß

    Generative Artificial Intelligence in Anti-doping Analysis in Sports

    In: Carlo Dindorf; Eva Bartaguiz; Freya Gassmann; Michael Fröhlich. Artificial Intelligence in Sports, Movement, and Health. Chapter 6, Pages 81-93, Springer, 9/2024.

  9. Mengxi Liu; Vitor Fortes Rey; Yu Zhang; Lala Ray; Bo Zhou; Paul Lukowicz

    iMove: Exploring Bio-Impedance Sensing for Fitness Activity Recognition

    In: 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE International Conference on Pervasive Computing and Communications (PerCom-2024), March 11-15, Biarritz, France, Pages 194-205, IEEE Computer Society, 3/2024.

  10. Mengxi Liu; Hymalai Bello; Bo Zhou; Paul Lukowicz; Jakob Karolus

    iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing

    In: Proceedings of the Augmented Humans International Conference 2024. Augmented Humans International Conference (AHs-2024), New York, NY, USA, AHs '24, ISBN 9798400709807, Association for Computing Machinery, 2024.

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