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Publications

Displaying results 1941 to 1950 of 14737.

  1. Szymon Siecinski; Rafal Jan Doniec; Marcin Grzegorzek

    Linear classification of healthy people and patients with valvular heart diseases based on heart rate variability indices derived from electrocardiograms

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 587-590, De Gruyter, 2024.

  2. Chen Li; Yu-Dong Yao; Jiangwei Yan; Marcin Grzegorzek

    Artificial intelligence in forensic microbiology, volume II

    Pages 1-2, Vol. 15, Frontiers Media SA, 2024.

  3. Zhixiang Wang; Huiqiao Gao; Xinghao Wang; Marcin Grzegorzek; Jinfeng Li; Hengzi Sun; Yidi Ma; Xuefang Zhang; Zhen Zhang; Andre Dekker; Alberto Traverso; Zhenyu Zhang; Linxue Qian; Meizhu Xiao; Ying Feng

    A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery

    In: BMC Women's Health, Vol. 24, No. 425 (2024), Springer, 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. Philip Gouverneur; Aleksandra Badura; Frédéric Li; Maria Bienkowska; Luisa Luebke; Waclaw M Adamczyk; Tibor M Szikszay; Andrzej Mysliwiec; Kerstin Luedtke; Marcin Grzegorzek; Ewa Piętka

    An Experimental and Clinical Physiological Signal Dataset for Automated Pain Recognition

    In: Scientific Data, Vol. 11, No. 1051 (2024), Nature Publishing Group UK London, 2024.

  6. J. Schmidinger; V. Barkov; H. Tavakoli; J. Correa; M. Ostermann; Martin Atzmueller; R. Gebbers; S. Vogel

    Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors

    In: Geoderma, Vol. 450, Pages 1-34, Geoderma, 10/2024.

  7. Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation

    In: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pages 1761-1767, 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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