Différences

Ci-dessous, les différences entre deux révisions de la page.

--- start [2025/09/30 14:38] – [Denys Pommeret] pommeret
+++ start [2025/09/30 14:46] (Version actuelle) – [Denys Pommeret] pommeret
@@ Ligne 41: / Ligne 41: @@
 ''Publications (assez) récentes :''
-   * Stocksieker, S. Pommeret, D. Charpentier, A. (2025) ‘’Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression’’. KES2025
+   * Salhi, S. et al. (2025) ‘’ Clinical Evaluation of an Automated Pan-Organ Combined PD-L1 Scoring Using Artificial Intelligence on Immunostained Whole Slide Images’’. ESMO Real World Data and Digital Oncology.
-   * Stocksieker, S. Pommeret, D. Charpentier, A. (2025) ‘’KurtHGR: A Neural Maximal Correlation for Tabular Datasets’’. KES2025
+   * Stocksieker, S. Pommeret, D. Charpentier, A. (2025) ‘’Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression’’. KES2025.
-   * Stocksieker, S., Pommeret, D. (2025) "“SHGR: A generalized Maximal Correlation Coefficient”. Neurips 2025
+   * Stocksieker, S. Pommeret, D. Charpentier, A. (2025) ‘’KurtHGR: A Neural Maximal Correlation for Tabular Datasets’’. KES2025.
-   * Thomas, F., Pommeret, D., Guinaudeau, E., Poulet, B., Salhi, Y., Chetritt, J. (2025) "Coping with inter-observer variability when assessing AI for scoring of HER2-stained whole slides". Journal Clinical of Oncology.
+   * Stocksieker, S., Pommeret, D. (2025) "“SHGR: A generalized Maximal Correlation Coefficient”. Neurips 2025.
-   * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Generalized Smoothed Bootstrap for Imbalanced Regression" CIKM 2024
+   * Thomas, F., Pommeret, D., Guinaudeau, E., Poulet, B., Salhi, Y., Chetritt, J. (2025) "Coping with inter-observer variability when assessing AI for scoring of HER2-stained whole slides". Journal Clinical of Oncology.
-   * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Data Augmentation with Variational Autoencoder for Imbalanced Dataset" ICONIP 2024
+   * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Generalized Smoothed Bootstrap for Imbalanced Regression" CIKM 2024.
-   * Milhaud, X., Pommeret, D., Salhi, Y., Vandekerkhove, P. (2024) "Contamination-source based K-sample clustering" Journal of Machine Learning Research
+   * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Data Augmentation with Variational Autoencoder for Imbalanced Dataset" ICONIP 2024.
+   * Milhaud, X., Pommeret, D., Salhi, Y., Vandekerkhove, P. (2024) "Contamination-source based K-sample clustering" Journal of Machine Learning Research.
    * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Generalized Oversampling for Learning from Imbalanced Dataset and Associated Theory: Application in Regression" Transactions on Machine Learning research.
    * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets" IEEE WCCI.
@@ Ligne 88: / Ligne 89: @@
 ''Evénements :''
   * Séminaires de statistique à Marseille  [[https://www.i2m.univ-amu.fr/agenda/seminaires/seminaire-statistique/]]
-  * 55e Journées de statistique à Bordeaux  [[https://jds2024.sciencesconf.org/]]
+  * 56e Journées de statistique à Marseille [[https://jds2025.sciencesconf.org/]]
 ''Equipes :''
   * I2M [[https://www.i2m.univ-amu.fr/]]
@@ Ligne 106: / Ligne 107: @@
   * Chaire d'Excellence DAMI : http://chaire-dami.fr/
   * Chaire d'Excellence DIALOG : https://hal.archives-ouvertes.fr/CHAIRE-DIALOG
-  * Chaire d'Excellence ACTIONS (Actuaries for Change in Technologies and Insurees Opportunities for Next Steps) : https://chaireactions.fr/
+  * Chaire d'Excellence ACTIONS (Actuaries for Change in Technologies and Insurees Opportunities for Next Steps) : https://chaireactions.com/
   * Projet ANR DREAMES https://lmm.univ-lemans.fr/fr/projets-et-chaires/anr-dreames.html
   ''Packages :''