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Publikationen

Zeige Ergebnisse 521 bis 530 von 14520.

  1. Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel

    Enhancing Entity Recommendation for Personal Information Assistance Using LLM-based Adaptive Relevance Prediction

    In: Information Management. International Conference on Information Management (ICIM-2025), 11th, March 28-30, London, United Kingdom, CCIS Series Conference Proceedings, Springer, 3/2025.

  2. Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann; Sebastian Möller; Vera Schmitt

    Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem

    In: Marianna Apidianaki; Hend Al-Khalifa; Barbara Di Eugenio; Steven Schockaert (Hrsg.). 31th International Conference on Computational Linguistics 2025. International Conference on Computational Linguistics (COLING-2025), January 19-24, Abu Dhabi, United Arab Emirates, International Conference on Computational Linguistics, 2025.

  3. 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.

  4. 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.

  5. Tobias Wirth; Mihai Maftei; Rosa Esther Martin Peña; Iris Merget

    Towards Trusted AI: A Blueprint for Ethics Assessment in Practice

    In: Rebekka Görge; Elena Haedecke; Maximilian Poretschkin; Anna Schmitz (Hrsg.). Symposium on Scaling AI Assessments (SAIA 2024). Symposium on Scaling AI Assessments (SAIA-2024), September 30 - October 1, Cologne, Germany, Pages 7:1-7:19, Open Access Series in Informatics (OASIcs), Vol. 126, ISBN ISSN 2190-6807, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 1/2025.

  6. Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel

    Towards Synthesizing E-Mail Conversations as Part of Knowledge Work Datasets with Large Language Models

    In: Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-PDWT 2024). International Conference on Knowledge Engineering and Knowledge Management (EKAW-2024), 24th International Conference on Knowledge Engineering and Knowledge Management, November 26-28, Amsterdam, Netherlands, Vol. 3967, CEUR-WS.org, 5/2025.

  7. Siddhant Shete; Raúl Domínguez; Ravisankar Selvaraju; Mariela De Lucas Alvarez; Frank Kirchner

    Prediction-Based Tip Over Prevention for Planetary Exploration Rovers

    In: Spiros Pantelakis; Andreas Strohmayer; Nikolaos Michailidis (Hrsg.). 14th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, Innovation in Aviation & Space towards sustainability today & tomorrow, October 8-11, Thessaloniki, Greece, Engineering Proceedings Journal (Eng. Proc. 2025), Vol. 90(1), No. 44, MDPI, Thessaloniki, Greece, 3/2025.

  8. Anthony Kiggundu; Bin Han; Dennis Krummacker; Hans Dieter Schotten

    Chronicles of Jockeying in Queuing Systems

    In: ACM Computing Surveys (CSUR), Pages 1-35, ACM, 12/2025.

  9. Malte Wirkus; Jonathan Babel; Christian Backe

    Advantages of Active and Passive Suspension Systems in Obstacle Negotiation for Planetary Rovers

    In: Karsten Berns; Mohammad Osman Tokhi; Arne Roennau; Manuel F. Silva; Rüdiger Dillmann (Hrsg.). Walking Robots into Real World. International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR-2024), September 4-6, Kaiserslautern, Germany, Pages 169-180, Lecture Notes in Networks and Systems, Vol. 1115, No. 2, ISBN 978-3-031-71300-2 978-3-031-71301-9, Springer Nature Switzerland, Cham, 1/2025.

  10. Daniel Palenicek; Florian Vogt; Joe Watson; Ingmar Posner; Jan Peters

    XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.25174, Pages 1-24, arXiv, 2025.

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