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Publications

Displaying results 1911 to 1920 of 14556.

  1. Mohamed Rihan; Dirk Wübben; Abhipshito Bhattacharya; Marina Petrova; Xiaopeng Yuan; Anke Schmeink; Amina Fellan; Shreya Tayade; Mervat Zarour; Daniel Lindenschmitt; Hans Schotten; Armin Dekorsy

    Unified 3D Networks: Architecture, Challenges, Recent Results, and Future Opportunities

    In: IEEE Open Journal of Vehicular Technology (OJVT), Vol. 1, Pages 1-32, IEEE Xplore, 2024.

  2. Christoph Manss

    Multi-Agent Exploration under Sparsity Constraints

    PhD-Thesis, TU Delft, 2024.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker

    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation

    In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.

  8. Dayananda Herurkar; Federico Raue; Andreas Dengel

    Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection

    In: Association for Computing Machinery (ACM) (Hrsg.). Proceedings of the 5th ACM International Conference on AI in Finance. International Conference on AI in Finance (ICAIF-2024), ICAIF '24, located at ICAIF, November 14-17, Brooklyn, New York, New York, USA, Pages 804-812, Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), No. 9, ISBN 9798400710810, Association for Computing Machinery, New York, NY, USA, 11/2024.

  9. Henning Gösling; Jacob Dudek; Thorsten Krause; Oliver Thomas

    Multi-Agent-Based Peer Tutoring in Virtual Learning Environments

    In: ICIS 2024 Proceedings. International Conference on Information Systems (ICIS-2024), AISeL, 12/2024.

  10. Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker

    AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy

    In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.

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