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Entropy (Basel, Switzerland)|August 26, 2022
Entropy-Based Discovery of Summary Causal Graphs in Time SeriesCharles K Assaad, Emilie Devijver, Eric GaussierEntropy (Basel, Switzerland)|September 23, 2022
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence TestLei Zan, Anouar Meynaoui, Charles K Assaad, et al.Scientific Reports|February 25, 2022
Unsupervised topological learning approach of crystal nucleationSébastien Becker, Emilie Devijver, Rémi Molinier, et al.The Journal of Chemical Physics|December 1, 2025
Homogeneous nucleation of undercooled Al-Ni melts via a machine-learned interaction potentialJohannes Sandberg, Thomas Voigtmann, Emilie Devijver, et al.Physical Review. E|May 20, 2022
Unsupervised topological learning for identification of atomic structuresSébastien Becker, Emilie Devijver, Rémi Molinier, et al.Journal of the American Chemical Society|February 26, 2024
Informative Training Data for Efficient Property Prediction in Metal-Organic Frameworks by Active LearningAshna Jose, Emilie Devijver, Noel Jakse, et al.IEEE Transactions on Cybernetics|July 23, 2020
Supervised Categorical Metric Learning With Schatten p-NormsYaqiong Li, Xuhui Fan, Eric GaussierStudies in Health Technology and Informatics|December 11, 2003
A probabilistic information retrieval approach to medical annotation in SWISS-PROTPavel B Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, et al.Bioinformatics (Oxford, England)|July 12, 2003
Combining NLP and probabilistic categorisation for document and term selection for Swiss-Prot medical annotationPavel B Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, et al.International Journal of Medical Informatics|February 8, 2005
Assisting medical annotation in Swiss-Prot using statistical classifiersPavel B Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, et al.Pageof 2