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Publikationen

Zeige Ergebnisse 1101 bis 1110 von 13882.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Andreas Weinand; Sachinkumar B. Mallikarjun; Christoph Lipps; Hans Dieter Schotten

    Multi-bit Secret Key Generation for LoRaWAN based 6G mMTC using Autoencoders

    In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC-2024), September 2-5, Valencia, Spain, IEEE, 2024.

  6. Matthias Rüb; Jan Herbst; Oliver May; Ralf Irmer; Christoph Lipps; Hans Dieter Schotten

    Large Agent Models in Patient Care and Clinical Communication Infrastructure: Applications and Challenges

    In: 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA-2024), October 19-20, Hamburg, Germany, IEEE, 11/2024.

  7. Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller

    An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-8, IEEE, 2024.

  8. Martin Atzmueller; Johannes Fürnkranz; Tomávs Kliegr; Ute Schmid

    Explainable and interpretable machine learning and data mining

    In: Data Mining and Knowledge Discovery, Vol. 38, No. 5, Pages 2571-2595, Springer, 2024.

  9. Sławomir Nowaczyk; Przemysław Biecek; Neo Christopher Chung; Mauro Vallati; Paweł Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; TomᨠKliegr

    Artificial Intelligence. ECAI 2023 International Workshops: XAI 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30--October 4, 2023, Proceedings, Part I

    Springer, 2024.

  10. Moritz Lucas; Viacheslav Barkov; Ralf Pecenka; Martin Atzmueller; Björn Waske

    Mapping Trees outside Forests using Semantic Segmentation

    In: Proc. IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2024), Pages 4435-4438, IEEE, 2024.

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