location_onAmphi 125
Conférence

Epistemologies of AI: Towards a situated and socially guided approach to algorithmic decision-making

calendar_today 2 avril 2026
schedule 10h00–10h50
Speaker
Vincent BarraUniversité Clermont Auvergne
Biography
Vincent Barra
Professeur des universités, Informatique / IA
Vincent Barra is a full professor in computer science at Université Clermont Auvergne and the LIMOS laboratory (CNRS). Vice-Dean of Clermont Auvergne INP and Artificial Intelligence Special Advisor for the university, he teaches AI and image processing. He co-authored Digital Image Processing with C++ (2023), and his research focuses on data analysis, image and video processing, and deep learning.
open_in_newAcademic profile
Abstract
Abstract coming soon
Selected bibliography
  • Klauschen, F., Goldman, A. L., Barra, V., Meyer‐Lindenberg, A., Lundervold, A. (2008). Evaluation of automated brain MR image segmentation and volumetry methods. Human Brain Mapping, 30(4), 1310–1327. https://doi.org/10.1002/hbm.20599
  • Ferchichi, A., Abbes, A. B., Barra, V., Farah, I. R. (2022). Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. Ecological Informatics, 68, 101552–101552. https://doi.org/10.1016/j.ecoinf.2022.101552
  • Barra, V., Boire, J. (2001). Automatic segmentation of subcortical brain structures in MR images using information fusion. IEEE Transactions on Medical Imaging, 20(7), 549–558. https://doi.org/10.1109/42.932740
  • Barra, V., Boire, J. (2001). A General Framework for the Fusion of Anatomical and Functional Medical Images. NeuroImage, 13(3), 410–424. https://doi.org/10.1006/nimg.2000.0707