Shadé Alao Afolabi

Shadé ALAO AFOLABI

PhD student (CNRS)

Axe : XIAMA

‘I am pursuing my PhD at IPANEMA, where I co-organise seminars. My research focuses on developing statistical learning methods with the aim of estimating the level and type of probable alteration in works of art. More specifically, contemporary oil paintings on canvas.’

Publications

4 documents

Conference papers

  • Shadé ALAO AFOLABI, Serge X. Cohen. Nouveaux outils d'apprentissage statistiques pour l'imputation et le pronostic en conservation sur les peintures. 1st International Conference on Artificial Intelligence and Applied Mathematics for History and Archaeology (IAMAHA), Nov 2023, Nice, France. ⟨hal-05207543⟩

Poster communications

  • Shadé ALAO AFOLABI, Pauline Hélou-de la Grandière, Mathieu Thoury, Elsa Perruchini, Erwan Le Pennec, et al.. Nouveaux outils d'apprentissage statistiques pour l'imputation et le pronostic en conservation. PhD Day, Mar 2024, Paris, France. ⟨hal-05203788⟩
  • Pauline Helou-de la Grandière, Shadé ALAO AFOLABI, Marouane Ben Jelloul, Serge X. Cohen, Lionel Simonot, et al.. NOIRoeS project: Total study of the historical and technical background of Soulages' paintings to define the conservation strategy. 5th international conference on Innovation in Art Research and Technology, Jun 2022, Paris, France. ⟨hal-04294449⟩

Preprints, Working Papers

  • Shadé ALAO AFOLABI, Pauline Hélou-de la Grandière, Chloë Coustet, Mathieu Thoury, Elsa Perruchini, et al.. Nouveaux outils d’apprentissage statistiques pour l’imputation et le pronostic en conservation. 2023. ⟨hal-04347417⟩