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Publikationen

Zeige Ergebnisse 491 bis 500 von 14529.

  1. Hirotaka Takita; Shannon L. Walston; Yasuhito Mitsuyama; Ko Watanabe; Shoya Ishimaru; Daiju Ueda

    Comparative performance of large language models in structuring head CT radiology reports: multi-institutional validation study in Japan

    In: Japanese Journal of Radiology, Vol. 43, Pages 1445-1455, Springer, 5/2025.

  2. Ko Watanabe; Yuki Matsuda; Yugo Nakamura; Yutaka Arakawa; Shoya Ishimaru

    TrackThinkDashboard: Understanding Student Self-Regulated Learning in Programming Study

    In: International Journal of Activity and Behavior Computing, Vol. IJABC, Pages 1-17, J-STAGE, 2025.

  3. Lena Herrmann; Alina Griesel; Carmen Moßner; Jan-Philipp Schwarze; Martin Atzmueller

    From Laboratory State into Production: Automating Hyperspectral Image Classification through MLOps

    In: Proceedings 2025 IEEE 37th International Conference on Tools with Artificial Intelligence ICTAI 2025. International Conference on Tools with Artificial Intelligence (AAAI SSS-2025), November 3-5, Athen, Greece, Pages 512-519, IEEE Xplore, 12/2025.

  4. Yassine El Kheir; Arnab Das; Enes Erdem Erdogan; Fabian Ritter Guttierez; Tim Polzehl; Sebastian Möller

    Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection

    In: Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA-2025), October 12-15, Tahoe City, CA, USA, IEEE, 10/2025.

  5. Tim Bohne; Anne-Kathrin Patricia Windler; Martin Atzmueller

    A Domain-Agnostic Neuro-Symbolic Architecture for Multimodal Human-in-the-Loop Anomaly Detection and Complex Fault Diagnosis

    In: IEEE Access (IEEE), Vol. 13, Pages 210201-210236, IEEE, 12/2025.

  6. Nico Bohlinger; Jan Peters

    Massively Scaling Explicit Policy-conditioned Value Functions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11949, Pages 1-5, arXiv, 2025.

  7. Daniel Palenicek; Florian Vogt; Jan Peters

    Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.07523, Pages 1-23, arXiv, 2025.

  8. Fabian Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters; Oliver Weeger

    Stable Port-Hamiltonian Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02480, Pages 1-15, arXiv, 2025.

  9. Onur Celik; Zechu Li; Denis Blessing; Ge Li; Daniel Palanicek; Jan Peters; Georgia Chalvatzaki; Gerhard Neumann

    DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02316, Pages 1-20, arXiv, 2025.

  10. Anish Abhijit Diwan; Julen Urain; Jens Kober; Jan Peters

    Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2501.14856, Pages 1-22, arXiv, 2025.

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