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Publications

Displaying results 1701 to 1710 of 14838.

  1. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Markus Junker; Juan Pablo Vesga; Werner Seiz; Juergen Scheele; Andreas Dengel; Axel Haferkamp; Thomas Höfner

    First preliminary results of artificial intelligence generated treatment recommendations for urothelial cancer based on multidisciplinary cancer conferences from the KITTU project

    In: Annals of Oncology, Vol. 35, No. S2, Pages 1161-1161, ESMO, 9/2024.

  2. Gregor Duwe; Verena Kauth; Kerstin Moench; Dominique Mercier; Markus Junker; Juergen Scheele; Werner Seiz; Oliver Pfante; Juan Pablo Vesga Simmins; Natasja De Bruin; Axel Haferkamp; Andreas Dengel; Thomas Höfner

    KITTU: Artificial intelligence supports multidisciplinary cancer conferences – first steps towards revolutionizing clinical decision making in oncology

    In: Reinhard Büttner (Hrsg.). Oncology Research and Treatment, Vol. 47, No. Supl. 1 - 36. Deutscher Krebskongress - Fortschritt gemeinsam gestalten, Pages 20-20, Karger Publishers, 2/2024.

  3. Oliver Zielinski; Christiane Plociennik; Sebastian Vollmer

    Mit KI an der Stellschraube Nachhaltigkeit drehen

    In: Nachhaltige Industrie, Vol. 3, No. 1, Pages 10-15, Springer Fachmedien Wiesbaden Wiesbaden, 2022.

  4. Ho Minh Duy Nguyen; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: The 16th Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2024), December 5-8, Proceedings of Machine Learning Research, 2025.

  5. Hoai-Chau Tran; Ho Minh Duy Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Zou; Binh T. Nguyen; Mathias Niepert

    Accelerating Transformers with Spectrum-Preserving Token Merging

    In: The Thirty-Eighth Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), December 10-15, Canada, JMLR.org, 2024.

  6. Hoai-Chau Tran; Ho Minh Duy Nguyen; Manh-Duy Nguyen; Ngan Hoang Le; Binh T. Nguyen

    Energy Minimizing-based Token Merging for Accelerating Transformers

    In: International Conference on Learning Representations (ICLR), Practical ML for Low Resource Settings Workshop. International Conference on Learning Representations (ICLR), May 11-12, JMLR.org, 2024.

  7. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

    Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

    In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

  8. P. Kicki; Tateo; Puze Liu; J. Guenster; Jan Peters; K. Walas

    Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning

    In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  9. J. Guenster; Puze Liu; Jan Peters; D. Tateo

    Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning

    In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  10. Naimur Islam

    Survival Prediction with Multi-Omics Data

    Mastersthesis, Rheinland-Pfälzische Technische Universität Kaiserslautern–Landau, 11/2024.

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