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Publications

Displaying results 2011 to 2020 of 15095.

  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. Daniel Spieldenner; André Antakli; Torsten Spieldenner; Harkiran Sahota

    Semantic Support Points for on the Fly Knowledge Encoding in Heterogenous Systems

    In: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 3). International Conference on Knowledge Management and Information Sharing (KMIS-2024), ISBN 978-989-758-716-0, Scitepress, 2024.

  3. Jurgen Van Den Hoogen; Dan Hudson; Martin Atzmueller

    Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters

    In: Proc. IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE International Conference on Data Engineering (ICDE-2024), Pages 91-95, IEEE, 2024.

  4. Ruud. J. R. Den Hartigh; L. Rens A. Meerhoff; Nico W. Van Yperen; Niklas D. Neumann; Jur J. Brauers; Wouter G. P. Frencken; Ando Emerencia; Yannick Hill; Sebastiaan Platvoet; Martin Atzmueller; Koen A. P. M. Lemmink; Michel S. Brink

    Resilience in Sports: A Multidisciplinary, Dynamic, and Personalized Perspective

    In: International Review of Sport and Exercise Psychology, Vol. 17, No. 1, Pages 564-586, Routledge, 2024.

  5. Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller

    A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives

    In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.

  6. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmüller

    Change Detection in Automotive Radar Based Occupancy Maps Using Siamese Networks

    In: 2024 International Radar Symposium (IRS). International Radar Symposium (IRS-2024), located at Microwave and Radar Week (MRW 2024), July 2-4, Poland, Pages 56-61, IEEE, 2024.

  7. Dan Hudson; Martin Atzmueller

    Subgroup Discovery with SD4Py

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), ECAI Workshops, Pages 338-348, Springer, 2024.

  8. Dietmar Seipel; Marcel Waleska; Daniel Weidner; Sven Rausch; Martin Atzmueller

    Post--Mining on Association Rule Bases

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), Pages 23-35, Springer, 2024.

  9. Harihara Bharathy Swaminathan; Aron Sommer; Andreas Becker; Martin Atzmueller

    Spatial Change Detection Using Automotive Radar

    In: Proc. IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2023), Pages 4066-4071, IEEE, 2023.

  10. Ankur Bhatt; Ko Watanabe; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

    In: IEEE Access (IEEE), Vol. 12, Pages 192219-192229, IEEE, 2024.

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