| CECM: Constrained evidential c-means algorithm V Antoine, B Quost, MH Masson, T Denoeux Computational Statistics & Data Analysis 56 (4), 894-914, 2012 | 85 | 2012 |
| Machine learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis N Wagner, V Antoine, MM Mialon, R Lardy, M Silberberg, J Koko, ... Computers and electronics in agriculture 170, 105233, 2020 | 53 | 2020 |
| CEVCLUS: evidential clustering with instance-level constraints for relational data V Antoine, B Quost, MH Masson, T Denoeux Soft Computing 18, 1321-1335, 2014 | 36 | 2014 |
| Reves participation-tree species classification using random forests and botanical features G Cerutti, V Antoine, L Tougne, J Mille, L Valet, D Coquin, A Vacavant Conference and Labs of the Evaluation Forum (CLEF), 1, 2012 | 26 | 2012 |
| Evidential seed-based semi-supervised clustering V Antoine, N Labroche, VV Vu 2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014 | 17 | 2014 |
| Fast semi-supervised evidential clustering V Antoine, JA Guerrero, J Xie International Journal of Approximate Reasoning 133, 116-132, 2021 | 12 | 2021 |
| Comparison of machine learning methods to detect anomalies in the activity of dairy cows N Wagner, V Antoine, J Koko, MM Mialon, R Lardy, I Veissier Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 10 | 2020 |
| Combining imprecise probability masses with maximal coherent subsets: Application to ensemble classification S Destercke, V Antoine Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 27-35, 2013 | 10 | 2013 |
| eDOL mHealth app and web platform for self-monitoring and medical follow-up of patients with chronic pain: observational feasibility study N Kerckhove, N Delage, S Cambier, N Cantagrel, E Serra, F Marcaillou, ... JMIR formative research 6 (3), e30052, 2022 | 9 | 2022 |
| Artificial ants for automatic classification A Hamdi, V Antoine, N Monmarché, A Alimi, M Slimane Artificial ants: From collective intelligence to real life optimization and …, 2010 | 9 | 2010 |
| Possibilistic fuzzy c-means with partial supervision V Antoine, JA Guerrero, G Romero Fuzzy Sets and Systems 449, 162-186, 2022 | 8 | 2022 |
| Fuzzy k-nn based classifiers for time series with soft labels N Wagner, V Antoine, J Koko, R Lardy International Conference on Information Processing and Management of …, 2020 | 8 | 2020 |
| Semi-supervised fuzzy c-means variants: a study on noisy label supervision V Antoine, N Labroche Information Processing and Management of Uncertainty in Knowledge-Based …, 2018 | 8 | 2018 |
| Understanding anomalies in animal behaviour: data on cow activity in relation to health and welfare R Lardy, MM Mialon, N Wagner, Y Gaudron, B Meunier, KH Sloth, ... Animal-Open Space 1 (1), 100004, 2022 | 5 | 2022 |
| Temporal information integration for video semantic segmentation G Guarino, T Chateau, C Teulière, V Antoine 2020 IEEE International Conference on Robotics and Automation (ICRA), 8545-8551, 2020 | 4 | 2020 |
| On evidential clustering with partial supervision V Antoine, K Gravouil, N Labroche Belief Functions: Theory and Applications: 5th International Conference …, 2018 | 4 | 2018 |
| On a new evidential c-means algorithm with instance-level constraints J Xie, V Antoine International Conference on Scalable Uncertainty Management, 66-78, 2019 | 3 | 2019 |
| Evidential clustering for categorical data AJD Mahamadou, V Antoine, GJ Christie, S Moreno 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019 | 3 | 2019 |
| Possibilistic clustering with seeds V Antoine, JA Guerrero, T Boone, G Romero 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018 | 3 | 2018 |
| Classification évidentielle avec contraintes d'étiquettes V Antoine, N Labroche EGC 2015, 2015 | 3 | 2015 |
