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Publications

Displaying results 21 to 30 of 682.

  1. Md Abid Hasan; Frédéric Li; Vivian Tetzlaff-Lelleck; Franziska Schmelter; Greta Marie Ahlemann; Lennart Jablonski; Xinyu Huang; Christian Sina; Marcin Grzegorzek

    Deep-learning-based Detection of Food Hypersensitivity from Confocal Laser Endomicroscopy Images of the Gastro-intestinal Tract

    In: Tung X. Bui (Hrsg.). 58th Hawaii International Conference on System Sciences 2025. Proceedings. Hawaii International Conference on System Sciences (HICSS-2025), January 7-10, Pages 3290-3299, ISBN 978-0-9981331-8-8, University of Hawaii Press, 2025.

  2. Shanchuan Huang; Hongwei Lei; Jinzhu Yang; Tao Hang; Liuhan Jin; Yudong Yao; Marcin Grzegorzek; Chen Li

    An Attention Mechanism and Ensemble Learning based on Dermoscopic Image Classification.

    In: Journal of Imaging Science & Technology (JIST), Vol. 68, No. 4, Pages 1-14, Society for Imaging Science and Technology, 7/2024.

  3. Xinyu Huang; Franziska Schmelter; Annemarie Uhlig; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Lennart Jablonski; Oliver Witt; Torsten Schröder; Christian Sina; Marcin Grzegorzek

    Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study

    In: Intelligent Medicine, Vol. 4, No. 4, Pages 226-238, Elsevier, 11/2024.

  4. Tianming Du; Yihao Sun; Xinghao Wang; Tao Jiang; Ning Xu; Zeyd Boukhers; Marcin Grzegorzek; Hongzan Sun; Chen Li

    A non-enhanced CT-based deep learning diagnostic system for COVID-19 infection at high risk among lung cancer patients

    In: Frontiers in medicine, Vol. 11, Pages 1-1, Frontiers Media SA, 2024.

  5. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  6. Ankush Sinha; Antonio Macaluso; Matthias Klusch

    Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars

    In: Quantum Machine Intelligence (QMI), Vol. tba, Pages 1-34, Springer, 2025.

  7. Katharina Hengel; Achim Wagner; Martin Ruskowski

    A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), 18th IFAC Symposium on Information Control Problems in Manufacturing, August 28-30, Vienna, Austria, Elsevier, 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. Lotfy Abdel Khaliq; Sabine Janzen; Wolfgang Maaß

    REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms

    In: International Joint Conference on Artificial Intelligence 2024. International Joint Conference on Artificial Intelligence (IJCAI-2024), 33rd International Joint Conference on Artificial Intelligence, August 3-9, Jeju, Korea, Republic of, International Joint Conference on Artificial Intelligence, 8/2024.

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