| Les deux révisions précédentesRévision précédente | |
| start [2025/09/30 14:42] – [Denys Pommeret] pommeret | start [2025/09/30 14:46] (Version actuelle) – [Denys Pommeret] pommeret |
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| ''Publications (assez) récentes :'' | ''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) "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. | * Stocksieker, S., Pommeret, D., Charpentier, A. (2024) "Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets" IEEE WCCI. |