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ORCIDViolaine Antoine
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2020 – today
- 2025
[j6]Armel Soubeiga
, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno, Issam Falih, Jules Phalip:
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means. Expert Syst. Appl. 260: 125369 (2025)- 2024
- [c24]Armel Soubeiga, Violaine Antoine, Sylvain Moreno:
Multi-View Relational Evidential C-Medoid Clustering with Adaptive Weighted. DSAA 2024: 1-10 - 2023
- [c23]Shidi Deng, Benoit Albert, Violaine Antoine, Jonas Koko:
A Specialized Xie-Beni Measure for Clustering with Adaptive Distance. EUSFLAT/AGOP 2023: 713-724 - [c22]Benoit Albert, Violaine Antoine, Jonas Koko:
Optimisation de Fuzzy C-Means (FCM) clustering par la méthode des directions alternées (ADMM). EGC 2023: 247-258 - [c21]Armel Soubeiga, Jessem Ettaghouti, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno:
Classification automatique de séries chronologiques de patients souffrant de douleurs chroniques. EGC 2023: 651-652 - [c20]Benoit Albert, Violaine Antoine, Jonas Koko:
Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers. OLA 2023: 277-286 - 2022
- [j5]Violaine Antoine, Jose A. Guerrero, Gerardo Romero:
Possibilistic fuzzy c-means with partial supervision. Fuzzy Sets Syst. 449: 162-186 (2022) - 2021
- [j4]Violaine Antoine, Jose A. Guerrero, Jiarui Xie:
Fast semi-supervised evidential clustering. Int. J. Approx. Reason. 133: 116-132 (2021) - [c19]Abdoul Jalil Djiberou Mahamadou, Violaine Antoine, Engelbert Mephu Nguifo, Sylvain Moreno:
Apport de l'entropie pour les c-moyennes floues sur des données catégorielles. EGC 2021: 519-520 - [c18]Nicolas Wagner, Violaine Antoine, Jonas Koko, Marie-Madeleine Mialon, Romain Lardy, Isabelle Veissier:
Comparaison de méthodes d'apprentissage automatique pour détecter les anomalies dans l'activité des animaux. EGC 2021: 521-522 - [c17]Jiarui Xie, Violaine Antoine, Thierry Chateau:
PCMO: Partial Classification from CNN-Based Model Outputs. ICONIP (3) 2021: 150-163 - [c16]Jiarui Xie, Thierry Chateau, Violaine Antoine:
A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection. IJCNN 2021: 1-6 - 2020
- [j3]Nicolas Wagner, Violaine Antoine, Marie-Madeleine Mialon, Romain Lardy, Mathieu Silberberg, Jonas Koko, Isabelle Veissier:
Machine learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis. Comput. Electron. Agric. 170: 105233 (2020) - [c15]Abdoul Jalil Djiberou Mahamadou, Violaine Antoine, Engelbert Mephu Nguifo, Sylvain Moreno:
Categorical fuzzy entropy c-means. FUZZ-IEEE 2020: 1-6 - [c14]Guillaume Guarino, Thierry Chateau, Céline Teulière, Violaine Antoine:
Temporal information integration for video semantic segmentation. ICRA 2020: 8545-8551 - [c13]Nicolas Wagner, Violaine Antoine, Jonas Koko, Romain Lardy:
Fuzzy k-NN Based Classifiers for Time Series with Soft Labels. IPMU (3) 2020: 578-589 - [c12]Nicolas Wagner, Violaine Antoine, Jonas Koko, Marie-Madeleine Mialon, Romain Lardy, Isabelle Veissier:
Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows. ISMIS 2020: 342-351
2010 – 2019
- 2019
- [c11]Abdoul Jalil Djiberou Mahamadou, Violaine Antoine, Gregory J. Christie, Sylvain Moreno:
Evidential clustering for categorical data. FUZZ-IEEE 2019: 1-6 - [c10]Jiarui Xie, Violaine Antoine:
On a New Evidential C-Means Algorithm with Instance-Level Constraints. SUM 2019: 66-78 - 2018
- [c9]Violaine Antoine, Kévin Gravouil, Nicolas Labroche:
On Evidential Clustering with Partial Supervision. BELIEF 2018: 14-21 - [c8]Violaine Antoine, Jose A. Guerrero, Tanya Boone, Gerardo Romero:
Possibilistic clustering with seeds. FUZZ-IEEE 2018: 1-7 - [c7]Violaine Antoine, Nicolas Labroche:
Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision. IPMU (2) 2018: 51-62 - 2015
- [c6]Violaine Antoine, Nicolas Labroche:
Classification évidentielle avec contraintes d'étiquettes. EGC 2015: 125-136 - 2014
- [j2]Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux:
CEVCLUS: evidential clustering with instance-level constraints for relational data. Soft Comput. 18(7): 1321-1335 (2014) - [c5]Violaine Antoine, Nicolas Labroche, Viet-Vu Vu:
Evidential seed-based semi-supervised clustering. SCIS&ISIS 2014: 706-711 - 2012
- [j1]Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux:
CECM: Constrained evidential C-means algorithm. Comput. Stat. Data Anal. 56(4): 894-914 (2012) - [c4]Guillaume Cerutti, Violaine Antoine, Laure Tougne, Julien Mille, Lionel Valet, Didier Coquin, Antoine Vacavant:
ReVeS Participation - Tree Species Classification Using Random Forests and Botanical Features. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c3]Sébastien Destercke, Violaine Antoine:
Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification. SMPS 2012: 27-35 - 2011
- [c2]Violaine Antoine, Benjamin Quost, Mylène Masson, Thierry Denoeux:
CEVCLUS: Constrained evidential clustering of proximity data. EUSFLAT Conf. 2011: 876-882 - 2010
- [c1]Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux:
CECM: Adding pairwise constraints to evidential clustering. FUZZ-IEEE 2010: 1-8
Coauthor Index
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