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Publikationen

Zeige Ergebnisse 1121 bis 1130 von 14499.

  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. 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.

  4. 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.

  5. 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.

  6. Paul Flammarion; Sajjad Parvin; Frank Sill Torres; Rolf Drechsler

    Auto-OPS: A Framework For Automated Optical Probing Simulation on GDS-II

    In: IEEE Embedded Systems Letters (ESL), IEEE, 2024.

  7. Sallar Ahmadi-Pour; Rolf Drechsler

    MicroRV32, A RISC-V Platform for Education and Research

    In: 1st Soft RISC-V Systems Workshop (SRvS Workshop). Soft RISC-V Systems Workshop (SRvS-2025), November 7-8, Online, 2024.

  8. Fatemeh Shirinzadeh; Kamalika Datta; Saeideh Shirinzadeh; Abhoy Kole; Rolf Drechsler

    Towards Formal Verification for MAC-based In-Memory Computing

    In: 33th IEEE Asian Test Symposium (ATS 2024). Asian Test Symposium (ATS-2025), December 17-20, Ahmedabad, India, 2024.

  9. Dev Narayan Yadav; Phrangboklang Lyngton Thangkhiew; F Lalchhandama; Kamalika Datta; Rolf Drechsler; Indranil Sengupta

    Improving Self-Fault-Tolerance Capability of Memristor Crossbar Using a Weight-Sharing Approach

    In: 33th IEEE Asian Test Symposium (ATS 2024). Asian Test Symposium (ATS-2024), December 17-20, Ahmedabad, India, 2024.

  10. Yousef Koka

    Learn2Clean Event Data

    Mastersthesis, German University in Cairo, 8/2024.

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