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Publikationen

Zeige Ergebnisse 711 bis 720 von 14833.

  1. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D'Eramo

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

    In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2025), ICLR, 2025.

  2. Matthias Tschöpe; Stefan Gerd Fritsch; Vitor Fortes Rey; Niranjan Narendra Nandurkar; Sarah Trevenna; Eloise Monger; Paul Lukowicz

    NEEDLE: Nurse Education Enhanced by Vision-based Deep Learning Evaluation

    In: 2025 7th International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC), April 21-25, Abu Dhabi, Abu Dhabi, United Arab Emirates, Pages 1-10, IEEE Xplore, 2025.

  3. Guillermo Jimenez-Diaz; Mirko Lenz; Lukas Malburg; Belen Diaz-Agudo; Ralph Bergmann

    A Framework for Supporting the Iterative Design of CBR Applications

    In: Isabelle Bichindaritz; Beatriz Lopez (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2025), Biarritz, France, Lecture Notes in Computer Science (LNCS), Springer, Cham, 2025.

  4. Mirko Lenz; Maximilian Hoffmann; Ralph Bergmann

    LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning

    In: Isabelle Bichindaritz; Beatriz Lopez (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2025), Biarritz, France, Lecture Notes in Computer Science (LNCS), Springer Nature Switzerland, Cham, 2025.

  5. Muhammad Umer Tariq Butt; Stalin Varanasi; Günter Neumann

    Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO

    In: 47th European Conference on Information Retrieval (ECIR). European Conference on Information Retrieval (ECIR-2025), April 6-10, Lucca, Italy, ECIR, 4/2025.

  6. Johannes Rust; Serge Autexier; Rolf Drechsler

    Design Exploration für RISC-V Prozessoren zur Optimierung von Erklärbarkeit für Maschinelles Lernen

    In: 28. Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV 2025). ITG/GMM/GI-Workshop "Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen" (MBMV-2025), March 11-12, Rostock, Germany, Pages 61-65, VDE, 3/2025.

  7. Roberto Venditti; Nareg Minaskan Karabid; Evmorfia Biliri; Miguel Villegas; Barry Kirwan; Carl Westin; Jekaterina Basjuka; Simone Pozzi

    Construal Level Theory (CLT) for designing explanation interfaces in operational contexts

    In: Human Interaction and Emerging Technologies: Artificial Intelligence and Future Applications. International Conference on Applied Human Factors and Ergonomics (AHFE-2025), 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications, located at IHIET-AI 2025, AHFE Open Access, 3/2025.

  8. Anton Maidl; Abhoy Kole; Kamalika Datta; Jannis Ulrich Stoppe; Rolf Drechsler

    Towards an Automated Debugging Approach for Fault Identification in Quantum Circuits

    In: 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS-2025), May 5-7, Lyon, France, 2025.

  9. Amelie Gyrard; Somayeh Abedian; Philip Gribbon; George Manias; Rick van Nuland; Kurt Zatloukal; Irina Emilia Nicolae; Gabriel Danciu; Septimiu Nechifor; Luis Marti-Bonmati; Pedro Mallol; Stefano Dalmiani; Serge Autexier; Mario Jendrossek; Ioannis Avramidis; Eva Garcia Alvarez; Petr Holub; Ignacio Blanquer; Anna Boden; Rada Hussein

    Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability

    In: Journal of Medical Internet Research (JMIR), Vol. 27, Page e66273, JMIR Publications, 3/2025.

  10. Eric Rietzke; Carsten Maletzki; Lisa Grewenig; Ralph Bergmann

    Hybrides wissensbasiertes Reasoning für wissensintensive Prozesse am Beispiel von Notrufabfragen

    In: Knut Hinkelmann; Thomas Hoppe; Bernhard G. Humm (Hrsg.). Hybride KI mit Machine Learning und Knowledge Graphs: Innovative Lösungen aus der Praxis. Pages 297-318, ISBN 978-3-658-44781-6, Springer Fachmedien Wiesbaden, Wiesbaden, 3/2025.

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