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Publications

Displaying results 701 to 710 of 14767.

  1. Saeideh Nabipour; Fatemeh Shirinzadeh; Abhoy Kole; Saeideh Shirinzadeh; Rolf Drechsler

    Performance Evaluation of MAGIC-ReRAM Arithmetic Circuits for Low-Latency In-Memory Computing

    In: IEEE Nordic Circuits and Systems Conference. IEEE Nordic Circuits and Systems Conference (NorCAS-2025), October 28-29, Riga, Lithuania, IEEE, 2025.

  2. Nils Grandien; Quentin Delfosse; Kristian Kersting

    Interpretable end-to-end Neurosymbolic Reinforcement Learning agents

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.14371, Pages 1-19, arXiv, 2024.

  3. Moritz Willig; Tim Nelson Tobiasch; Florian Peter Busch; Jonas Seng; Devendra Singh Dhami; Kristian Kersting

    Systems with Switching Causal Relations: A Meta-Causal Perspective

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.13054, Pages 1-21, arXiv, 2024.

  4. Lukas Malburg; Maxim Hotz; Ralph Bergmann

    Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation

    In: Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2024), Pages 50-66, Lecture Notes in Computer Science, Vol. 14775, Springer, 2024.

  5. Hitesh Kotte; Florian Daiber; Milos Kravcik; Nghia Duong-Trung

    FitSight: Tracking and Feedback Engine for Personalized Fitness Training

    In: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 223-231, ISBN 979-8-4007-0433-8, ACM, New York, USA, 6/2024.

  6. Alexander Pögelt; Katja Ihsberner; Norbert Pengel; Milos Kravcik; Martin Grüttmüller; Wolfram Hardt

    Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning

    In: Angelo Sifaleras; Fuhua Lin (Hrsg.). Generative Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring Systems (ITS-2024), located at 20th International Conference, ITS 2024, June 10-13, Thessaloniki, Greece, Pages 117-130, Lecture Notes in Computer Science (LNCS), Vol. 14798, ISBN 978-3-031-63027-9, 978-3-031-63028-6, Springer, Cham, 6/2024.

  7. Noon Pokaratsiri; Saadullah Amin; Günter Neumann

    Towards Understanding Attention-based Reasoning through Graph Structures in Medical Codes Classification

    In: TextGraphs-17: Graph-based Methods for Natural Language Processing at ACL-2024. Annual Meeting of the Association for Computational Linguistics (ACL-2024), The 62nd Annual Meeting of the Association of Computational Linguistics, located at ACL, August 11-16, Bangkok, Thailand, ISBN 979-8-89176-145-2, Association for Computational Linguistics (ACL), 8/2024.

  8. Shubham Vyas; Marko Jankovic; Frank Kirchner

    Momentum based classification for robotic active debris removal

    In: Journal of Space Safety Engineering (JSSE), Vol. 9, No. 4, Pages 649-655, Elsevier, 2022.

  9. Arne Böckmann; Janosch Machowinski; Haider Khan Lodhi

    ugv_nav4d: Advanced Multi-Surface Navigation for Unmanned Ground Vehicles Using 4D Path Planning Techniques

    In: Journal of Open Source Software (JOSS), Vol. n.n. Pages n.n.-n.n. JOSS, 12/2024.

  10. Tim Dahmen; Niklas Rottmayer; Markus Kronenberger; Katja Schladitz; Claudia Redenbach

    A Neural Model for High-Performance Scanning Electron Microscopy Image Simulation of Porous Materials

    In: Synthetic Data for Computer Vision Workshop @ CVPR 2024. CVPR Workshop on Synthetic Data for Computer Vision (SynData4CV-2024), located at CVPR 2024, June 18, Seattle, OR, USA, CFV, 6/2024.

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