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Publications

Displaying results 2011 to 2020 of 13746.

  1. Sara Khan; Mehmed Yüksel; Andre Ferreira

    ASIMS: Acceleration Spectrograms Based Intelligent Mobility System for Vehicle Damage Detection

    In: Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS. International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS-2023), April 26-28, Prague, Czech Republic, Pages 179-186, Vol. 1, ISBN 978-989-758-652-1, SciTePress, 4/2023.

  2. Hae Seon Yun; Heiko Hübert; Johann Chevalère; Niels Pinkwart; Verena V Hafner; Rebecca Lazarides

    Analyzing Learners’ Emotion from an HRI Experiment Using Facial Expression Recognition Systems

    In: Learning and Collaboration Technologies - Proceedings of the 25th HCII. International Conference on Human-Computer Interaction (HCII), July 23-28, Copenhagen, Denmark, Pages 396-407, Vol. 14041, Springer Nature Switzerland AG, 6/2023.

  3. Nathalie Rzepka; Linda Fernsel; Hans-Georg Müller; Katharina Simbeck; Niels Pinkwart

    Unbias me! Mitigating Algorithmic Bias for Less-studied Demographic Groups in the Context of Language Learning Technology.

    In: Computer-Based Learning in Context, Vol. 6, No. 1, Pages 1-23, 5/2023.

  4. Berit Blanc; Rolf Feichtenbeiner; Susan Beudt; Niels Pinkwart

    AI in Vocational Rehabilitation-Intelligent Assistance for People with Disabilities

    In: Inka Knappertsbusch; Kai Gondlach. Work and AI 2030. Pages 373-381, ISBN 978-3-658-40232-7, Springer, Wiesbaden, 5/2023.

  5. Rolf Drechsler; Sebastian Huhn

    Advanced Boolean Techniques

    Springer, 2023.

  6. Joao Maria Janeiro; Stanislav Frolov; Alaaeldin El-Nouby; Jakob Verbeek

    Are Visual Recognition Models Robust to Image Compression?

    In: International Conference on Machine Learning Workshop Neural Compression: From Information Theory to Applications. International Conference on Machine Learning (ICML-2023), Neural Compression: From Information Theory to Applications, Association for Computing Machinery (ACM), 2023.

  7. Daniel Sonntag; Michael Barz; Thiago Gouvea

    A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

    German Research Center for AI, DFKI Technical Report, 6/2024.

  8. Florian Brand; Lukas Malburg; Ralph Bergmann

    Large Language Models as Knowledge Engineers

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), Mérida, Mexico, July 1, 2024. International Conference on Case-Based Reasoning (ICCBR-2024), Pages 3-18, CEUR Workshop Proceedings, Vol. 3708, CEUR-WS.org, 2024.

  9. Mirko Lenz; Lukas Malburg; Ralph Bergmann

    CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2024), Merida, Mexico, Pages 289-304, Lecture Notes in Computer Science (LNCS), Vol. 14775, ISBN 978-3-031-63646-2, Springer Nature Switzerland, Cham, 2024.

  10. 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.

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