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Publications

Displaying results 71 to 80 of 326.

  1. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Speeding Up Bioacoustic Data Analysis: Fine-Tuning Deep Models with Active Learning for Efficient Wildlife Detection

    In: GoodIT '25: Proceedings of the 2025 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology for Social Good (GoodIT-2025), located at GoodIT-2025, September 3-5, Antwerpen, Belgium, Association for Computing Machinery, 9/2025.

  2. Alexander Michael Rombach; Peter Fettke

    Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review

    In: ACM Computing Surveys (CSUR), Vol. 58, No. 2, Pages 1-37, Association for Computing Machinery, New York, NY, USA, 2025.

  3. Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker

    AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy

    In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.

  4. Tarek Elmihoub; Abdulhakim El Gadi Gadi; Lars Nolle; Frederic Theodor Stahl

    On Object Detection and Explainability with Sonar Imagery

    In: 2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA-2024), May 19-21, Tripoli, Libyan Arab Jamahiriya, Pages 1-8, ISBN 979-8-3503-7263-2, IEEE Xplore, New Jersey, 7/2024.

  5. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

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

    European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

  6. Jayasankar Santhosh; Akshay Palimar Pai; Shoya Ishimaru

    Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and Emotion

    In: IEEE Access (IEEE), Vol. 12, Pages 6001-6016, IEEE, 2024.

  7. Tom Vincent Slawik; Bilal Wehbe; Leif Christensen

    Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization

    In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.

  8. Nabeel Khalid; Anwai Archit; Luca Freckmann; Sushmita Nair; Paul Hilt; Vikas Rajashekar; Marei Freitag; Carolin Teuber; Genevieve Buckley; Sebastian von Haaren; Sagnik Gupta; Andreas Dengel; Sheraz Ahmed; Constantin Pape

    Segment Anything for Microscopy

    In: Nature, Vol. 22, Pages 579-591, Nature Methods, 2/2025.

  9. Rashmi Alur Ramachandra; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

  10. Matthias Tschöpe; Dennis Schneider; Sungho Suh; Paul Lukowicz

    A Novel Guidance Framework for Nasal Rapid Antigen Tests with Improved Swab Keypoint Detection

    In: SSRN Electronic Journal, Vol. SSRN, Pages 1-32, SSRN, 2023.

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