Publications

International journals

2024 AI at the service of... Gökhan Tahıl, Fabien Delorme, Daniel Le Berre, Éric Monflier, Adlane Sayede, Sébastien Tilloy, Stereoisomers Are Not Machine Learning’s Best Friends in Journal of Chemical Information and Modeling,vol. 64, n° 14, pp. 5451–5469, 2024.

2023 AI at the service of... Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Éric Monflier, Adlane Sayede, Sébastien Tilloy, Curated dataset of association constants between a cyclodextrin and a guest for machine learning in Chemical Data Collections,vol. 45, pp. 101022, 2023.

International conferences

2023 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Adlane Sayede, Sébastein Tilloy, Use of Machine Learning for Determination of Association Constant between a Cyclodextrin and a Guest in 7^th European Conference on Cyclodextrin (EuroCD 2023),2023.

2023 Adlane Sayede, Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Sebastien Tilloy, Determination of the Association Constant between a Cyclodextrin and a Guest using Machine Learning models in 9^th Symposium on Theoretical Biophysics (TheoBio2023),2023.

2021 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Adlane Sayede, Sébastien Tilloy, Determination of the Association Constant between a Cyclodextrin and a Guest using Machine Learning for Catalyzed Functionalization of Bio-Sourced Substrates in First international symposium on High-Throughput Catalysts Design,2021.

National conferences

2022 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Adlane Sayede, Sébastien Tilloy, Machine learning challenges for determination of association constant between a cyclodextrin and a guest in 20^èmes Journées Cyclodextrines,2022.