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Publications

Displaying results 271 to 280 of 661.

  1. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  2. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5255-5258, arXiv, 2025.

  3. Miro Miranda Lorenz; Marcela Charfuelan Oliva; Matias Valdenegro-Toro; Andreas Dengel

    Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

    In: PAIS. European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, Pages 5384-5391, IOS Press, 2025.

  4. Martin Kuhn; Joscha Grüger; Ralph Bergmann

    PALSYN: a method for synthetic multi-perspective event log generation with differential private guarantees

    In: Chiara Di Francescomarino; Marwan Hassani; Jan Mendling; Arik Senderovich (Hrsg.). Process Science, Vol. 2, No. 1, Pages 1-37, Springer Nature, Cham, 12/2025.

  5. Yihao Sun; Tianming Du; Bin Wang; Mamunur Rahaman; Xinghao Wang; Xinyu Huang; Tao Jiang; Marcin Grzegorzek; Hongzan Sun; Jian Xu; Chen Li

    COVID-19CT+: A public dataset of CT images for COVID-19 retrospective analysis

    In: Journal of X-ray science and technology, Vol. 33, Pages 901-915, SAGE Journals, 5/2025.

  6. Enhui He; Yiran Wang; Xinghao Wang; Zhanxiong Yi; Marcin Grzegorzek; Peipei Yang; Xiangdong Hu; Ying Feng; Zhixiang Wang

    Recommendation of a Surgical Approach for Papillary Thyroid Microcarcinoma Based on Preoperative Ultrasound Features Using a Multiclass Deep Neural Network

    In: Journal of Medical and Biological Engineering (JMBE), Vol. 45, Pages 378-384, Springer Nature, 6/2025.

  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. 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.

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