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Publications

Displaying results 221 to 230 of 14764.

  1. Christoph Manss

    Multi-Agent Exploration under Sparsity Constraints

    PhD-Thesis, TU Delft, 2024.

  2. Muhammad Moiz Sakha; Florian Daiber; Christoph Tieben; Matthias Enders

    Virtual Breeding Nursery: Towards a VR Digital Twin for Plant Breeding

    In: Proceedings of the 2024 ACM Symposium on Spatial User Interaction. ACM Symposium on Spatial User Interaction (SUI-2024), New York, NY, USA, SUI '24, ISBN 9798400710889, Association for Computing Machinery, 2024.

  3. Maxx Richard Rahman; Ruoxuan Liu; Wolfgang Maaß

    Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series

    In: Time Series in the Age of Large Models Workshop at Neural Information Processing Systems (NeurIPS). Neural Information Processing Systems (NeurIPS-2024), NeurIPS, 2024.

  4. Maxx Richard Rahman; Wolfgang Maaß

    Generative AI 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 81-95, Springer, 2024.

  5. Shishir Muralidhara; René Schuster; Didier Stricker

    Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions

    In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2025), February 23-25, Porto, Portugal, Scitepress, 2025.

  6. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 2, No. MICCAI 2023 LNQ challenge special issue, Pages 817-833, MELBA Journal, 5/2024.

  7. Dennis Mronga; Shivesh Kumar; Frank Kirchner

    Whole-body control

    In: Shivesh Kumar; Andreas Mueller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 9, ISBN 978-0-323-88482-2, Elsevier, 2024.

  8. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

  9. Alexander Wilhelm; Katharina Anna Zweig

    A Socioinformatic Approach to xAI

    In: Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September 9-13, Springer Nature, 2024.

  10. Nils Feldhus; Aliki Anagnostopoulou; Qianli Wang; Milad Alshomary; Henning Wachsmuth; Daniel Sonntag; Sebastian Möller

    Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues

    In: Proceedings of the 2024 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology for Social Good (GoodIT-2024), September 4-6, Bremen, Germany, GoodIT '24, ISBN 9798400710940, Association for Computing Machinery, 9/2024.

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