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Publications

Displaying results 211 to 220 of 661.

  1. 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.

  2. Sara Narteni; Alberto Carlevaro; Zeming Duan; Serge Autexier; Maurizio Mongelli

    Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation

    In: Khuong An Nguyen; Zhiyuan Luo; Harris Papadopoulos; Tuwe Löfström; Lars Carlsson; Henrik Boström (Hrsg.). Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications. Symposium in Conformal and Probabilistic Prediction with Applications (COPA-2025), September 10-12, London, United Kingdom, Pages 778-780, Proceedings of Machine Learning Research (PMLR), Vol. 266, PMLR, 9/2025.

  3. 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.

  4. 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.

  5. 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.

  6. Joao Carvalho; An T. Le; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters

    Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.08398, Pages 1-8, arXiv, 2024.

  7. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.16824, Pages 1-31, arXiv, 2024.

  8. Sumantrak Mukherjee; Mouad Elhamdi; George Mohler; David Antony Selby; Yao Xie; Sebastian Vollmer; Gerrit Großmann

    Neural Spatiotemporal Point Processes: Trends and Challenges

    In: Transactions on Machine Learning Research (TMLR), Vol. NA, Pages 1-27, JMLR, 11/2025.

  9. Natalia Piaseczna; Rafal Doniec; Konrad Duraj; Szymon Sieciński; Marek Jędrychowski; Ewaryst Tkacz; Marcin Grzegorzek

    Distinguishing Drivers with Smart Glasses Data and Deep Neural Network

    In: Ireneusz Czarnowski; Marek Jasiński (Hrsg.). IEEE EUROCON 2025 - 21st International Conference on Smart Technologies. IEEE International Conference on Smart Technologies (EUROCON-2025), June 4-6, Gdynia, Poland, Pages 1-6, Institute of Electrical and Electronics Engineers, 6/2025.

  10. Neda Foroutan; Markus Schröder; Andreas Dengel

    CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.15322, Pages 1-10, arXiv, 3/2024.

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