Violaine Antoine

According to our database1, Violaine Antoine authored at least 23 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Fast semi-supervised evidential clustering.
Int. J. Approx. Reason., 2021

A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

PCMO: Partial Classification from CNN-Based Model Outputs.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Comparaison de méthodes d'apprentissage automatique pour détecter les anomalies dans l'activité des animaux.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Apport de l'entropie pour les c-moyennes floues sur des données catégorielles.
Proceedings of the Extraction et Gestion des Connaissances, 2021

2020
Machine learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis.
Comput. Electron. Agric., 2020

Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Fuzzy k-NN Based Classifiers for Time Series with Soft Labels.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Temporal information integration for video semantic segmentation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Categorical fuzzy entropy c-means.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
On a New Evidential C-Means Algorithm with Instance-Level Constraints.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Evidential clustering for categorical data.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Possibilistic clustering with seeds.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

On Evidential Clustering with Partial Supervision.
Proceedings of the Belief Functions: Theory and Applications, 2018

2015
Classification évidentielle avec contraintes d'étiquettes.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
CEVCLUS: evidential clustering with instance-level constraints for relational data.
Soft Comput., 2014

Evidential seed-based semi-supervised clustering.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

2012
CECM: Constrained evidential C-means algorithm.
Comput. Stat. Data Anal., 2012

Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

ReVeS Participation - Tree Species Classification Using Random Forests and Botanical Features.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011
CEVCLUS: Constrained evidential clustering of proximity data.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

2010
CECM: Adding pairwise constraints to evidential clustering.
Proceedings of the FUZZ-IEEE 2010, 2010


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