Evidential Classification of Incomplete Data via Imprecise Relabelling: Application to Plastic Sorting. - Lucie Jacquin; Abdelhak Imoussaten; François Trousset; Jacky Montmain; Didier Perrin (SUM, 2019)

Manipulating Focal Sets on the Unit Simplex: Application to Plastic Sorting. - Lucie Jacquin; Abdelhak Imoussaten; Sébastien Destercke; François Trousset; Jacky Montmain; Didier Perrin (FUZZ-IEEE, 2020)

Handling Mixture Optimisation Problem Using Cautious Predictions and Belief Functions. - Lucie Jacquin; Abdelhak Imoussaten; Sébastien Destercke (IPMU (2), 2020)

Traitement de données incertaines : application au tri des matières plastiques. (Processing of uncertain data : Application to the sorting of plastic materials). - Lucie Jacquin (2021)

Causal discovery for fuzzy rule learning. - Lucie Kunitomo-Jacquin; Aurore Lomet; Jean-Philippe Poli (FUZZ-IEEE, 2022)

Exploitation de la causalité pour l'apprentissage de règles floues. - Lucie Kunitomo-Jacquin; Aurore Lomet; Jean-Philippe Poli (LFA, 2022)

Cautious classification based on belief functions theory and imprecise relabelling. - Abdelhak Imoussaten; Lucie Jacquin (Int. J. Approx. Reason., 2022)

Towards reasoning over knowledge graphs under aleatoric and epistemic uncertainty. - Lucie Kunitomo-Jacquin; Ken Fukuda (ICSC, 2023)

Calibration of Evidential Mass Function for Trustworthy Information Processing in Scene Graph Generation. - Lucie Kunitomo-Jacquin; Ken Fukuda (FUZZ, 2024)

Evidential Representation Proposal for Predicate Classification Output Logits in Scene Graph Generation. - Lucie Kunitomo-Jacquin; Ken Fukuda (HCI (51), 2024)

Assessing Causal Graph Uncertainty and Optimized Multivariate Discretization Strategy. - Lucie Kunitomo-Jacquin; Aurore Lomet; Geoffrey Daniel (IPMU (1), 2024)

Conditional Kendall's tau for interval-valued data. - Lucie Kunitomo-Jacquin (KES, 2024)

Incomplete Scene Graph Fusion for Environment Map Estimation. - Lucie Kunitomo-Jacquin; Ken Fukuda (HCI (65), 2025)