Book chapter

  1. A. Hamdi, V. Antoine, N. Monmarché, A. Alimi, M. Slimane. Artificial Ant : From Collective Intelligence to Real-life Optimization and Beyond, chapter Artificial ants for automatic classification, pages 265–290. John Wiley & Sons, 2010.

Journal articles

  1. B Albert, V Antoine, J Koko. ECM+: an improved Evidential c-means with adaptive distance. Fuzzy Sets and Systems, Vol 498, pp 109168, 2025.
  2. A. Soubeiga, V. Antoine, A. Corteval, N. Kerckhove, S. Moreno, I. Falih, J. Phalip. Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means. Expert Systems With Applications, Vol 260, pp 125369, 2025.
  3. V. Antoine, J. Guerrero, G. Romero. Possibilistic fuzzy c-means with partial supervision. Fuzzy Sets and Systems, Vol 449, pp 162-186, 2022.
  4. N. Kerckhove, N. Delage, S. Cambier, N. Cantagrel, E. Serra, F. Marcaillou, C. Maindet-Dominici, P. Picard, G. Martiné, R. Deleens, A-P Trouvin, L. Fourel, G. Espagne-Dubreuilh, L. Douay, S. Foulon, B. Dufraisse, C. Gov, E. Viel, F. Jedryka, S. Pouplin, C. Lestrade, E. Combe, S. Perrot, D. Perocheau, V. De Brisson, P. Vergne-Salle, P. Mertens, B. Pereira, A. Djiberou Mahamadou, V. Antoine, A. Corteval, A. Eschalier, C. Dualé, N. Attal, N. Authier. eDOL, a new mHealth application and web platform for the self-monitoring and the medical follow-up of chronic pain patients: feasibility study. Journal of Medical Internet Research, 2022.
  5. V. Antoine, J. Guerrero, J. Xie. Fast semi-supervised evidential clustering. International Journal of Approximate Reasonning, Vol. 133, pp 116-132, 2021.
  6. N. Wagner, V. Antoine, M-M. Mialon, R. Lardy, M. Silberberg, J. Koko, I. Veissier. Machine Learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis. Computers and Electronics in Agriculture. 170(105233), 2020.
  7. V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CEVCLUS: Evidential clustering with instance-level constraints for relational data. Soft Computing, Volume 18, Issue 7, pp 1321-1335, 2014.
  8. V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CECM: Constrained Evidential C-Means algorithm. Computational Statistics and Data Analysis, Vol. 56, Issue 4, pages 894-914, 2012.

Data papers

  1. R. Lardy, M.-M. Mialon, N. Wagner, Y. Gaudron, B. Meunier, K. Helle Sloth, D. Ledoux, M. Silberberg, A. de Boyer des Roches, Q. Ruin, M. Bouchon, C. Cirié, V. Antoine, J. Koko, I. Veissier. Understanding anomalies in animal behaviour: data on cow activity in relation to health and welfare. Animal - Open Space, 2022.

International conference proceedings

  1. A. Soubeiga, V. Antoine, S. Moreno: Multi-view relational evidential c-medoid clustering with adaptive weighted. DSAA October 2024: 1:10, San Diego, USA.
  2. D. Hill, B. Antunes, A. Bertrand, E. Mephu Nguifo, L. Yon, J. Nautré-Domanski, V. Antoine: Machine Learning And Reproducibility Impact Of Random Numbers. European Simulation and Modelling Conference October 2024, San Sebastian, Espagne (to appear)
  3. V.T. Do, V. Antoine, J. Koko: WECM: an evidential subspace clustering algorithm. IPMU July 2024, Lisbonne, Portugal (to appear).
  4. S. Deng, B. Albert, V. Antoine, J. Koko: A Specialized Xie-Beni Measure for Clustering with Adaptive Distance. EUSFLAT/AGOP September 2023: 713-724, Palma de Malorca, Spain. Springer 2023, ISBN 978-3-031-39964-0.
  5. B. Albert, V. Antoine, J. Koko: Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers. OLA May 2023: 277-286, Malaga, Spain. Springer 2023, ISBN 978-3-031-34019-2.
  6. J. Xie, V. Antoine, T. Chateau: PCMO: Partial Classification from CNN-Based Model Outputs. ICONIP (3) December 2021: 150-163, Sanur, Bali, Indonesia. Springer 2021, ISBN 978-3-030-92237-5.
  7. J. Xie, T. Chateau, V. Antoine: A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection. IJCNN July 2021 : 1-6, Shenzhen, China. IEEE 2021, ISBN 978-1-6654-3900-8.
  8. A. Djiberou Mahamadou, V. Antoine, E. Mephu Nguifo, S. Moreno: Categorical fuzzy entropy c-means. FUZZ-IEEE July 2020 : 1-6, Glasgow, UK. IEEE 2020, ISBN 978-1-7281-6932-3.
  9. G. Guarino, T. Chateau, C. Teulière, V. Antoine : Temporal information integration for video semantic segmentation. ICRA July 2020 : 8545-8551, Paris, France. IEEE 2020, ISBN 978-1-7281-7395.
  10. N. Wagner, V. Antoine, J. Koko, R. Lardy : Fuzzy k-NN based classifiers for time series with soft labels. IPMU (3) June 2020 : 578-589, Lisbon, Portugal. Communications in Computer and Information Science 1239, Springer 2020, ISBN 978-3-030-50152-5.
  11. N. Wagner, V. Antoine, J. Koko, M-M. Mialon, R. Lardy, I. Veissier : Comparison of Machine Learning methods to detect anomalies in activity of dairy cows. ISMIS September 2020: 342-351, Graz, Austria. Lecture Notes in Computer Science 12117, Springer 2020, ISBN 978-3-030-59490-9.
  12. A. Djiberou Mahamadou, V. Antoine, G. Christie, S. Moreno: Evidential clustering for categorical data. FUZZ-IEEE June 2019: 1-6, New Orleans, USA. IEEE 2019, ISBN 978-1-5386-1728-1.
  13. J. Xie, V. Antoine: On a New Evidential C-Means Algorithm with Instance-Level Constraints. Scalable Uncertainty Management (SUM) December 2019: 66-78, Compiègne, France. Lecture Notes in Computer Science 11940, Springer 2019, ISBN 978-3-030-35513-5.
  14. V. Antoine, K. Gravouil, N. Labroche: On Evidential Clustering with Partial Supervision. BELIEF September 2018: 14-21, Compiègne, France. Lecture Notes in Computer Science 11069, Springer 2018, ISBN 978-3-319-99382-9.
  15. V. Antoine, J. Guerrero, T. Boone, G. Romero: Possibilistic clustering with seeds. FUZZ-IEEE July 2018: 1-7, Rio de Janeiro, Brazil. IEEE 2018, ISBN 978-1-5090-6020-7.
  16. V. Antoine, N. Labroche: Semi-supervised Fuzzy c-Means Variants: A Study on Noisy Label Supervision. IPMU (2) June 2018: 51-62, Cadix, Spain. Communications in Computer and Information Science 854, Springer 2018, ISBN 978-3-319-91475-6.
  17. V. Antoine, N. Labroche, V.-V. Vu:Evidential seed-based semi-supervised clustering. SCIS&ISIS December 2014: 706-711, Kita-Kyushu, Japan. IEEE 2014, ISBN 978-1-4799-5955-6.
  18. S. Destercke, V. Antoine: Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification. SMPS October 2012: 27-35, Konstanz, Germany. Advances in Intelligent Systems and Computing 190, Springer 2013, ISBN 978-3-642-33041-4.
  19. G. Cerutti, V. Antoine, L. Tougne, J. Mille, L. Valet, D. Coquin, A. Vacavant: ReVeS Participation - Tree Species Classification Using Random Forests and Botanical Features. CLEF (Online Working Notes/Labs/Workshop) September 2012, Rome, Italy. CEUR Workshop Proceedings 1178, CEUR-WS.org 2014, ISBN 978-88-904810-3-1.
  20. V. Antoine, B. Quost, M.-H. Masson, T. Denoeux: CEVCLUS: Constrained evidential clustering of proximity data. EUSFLAT Conference July 2011: 876-882, Aix-Les-Bains, France. Atlantis Press 2011, ISBN 978-90-78677-00-0.
  21. V. Antoine, B. Quost, M.-H. Masson, T. Denœux. CECM : Adding pairwise constraints to evidential clustering. In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 2010, 879–886, Barcelona, Spain. IEEE 2010, ISBN 978-1-4244-6919-2.
  22. V. Antoine, B. Quost, M.-H. Masson, T. Denœux. Evidential clustering with constraints and adaptive metric. In Workshop on the theory of belief functions, Brest, France, April 2010.
  23. V. Antoine, N. Monmarché, M. Slimane. Data clustering with artificial ants : the API algorithm case study. In Proccedings of Matheuristique and Nature Inspired Computing (META’08), Hammamet, Tunisia, October 29-31 2008.

National conference proceedings

  1. V. Guien, V. Antoine, R. Lardy, I. Da Rocha Moreira, L. Correa Da Rocha, I. Veissier. Simulation de comportement d’une vache à l'aide d'un processus markovien, Rencontres Francophones sur la Logique Floue et ses Applications (LFA), pages 125-132, Bourges, France, November 2023.
  2. A. Soubeiga, J. Ettaghouti, V. Antoine, A. Corteval, N. Kerckhove, S. Moreno. Classification automatique de séries chronologiques de patients souffrant de douleurs chroniques. EGC janvier 2023: 651-652. Revue des Nouvelles Technologies de l'Information E-39.
  3. B. Albert, V. Antoine, J. Koko. Optimisation de Fuzzy C-Means (FCM) clustering par la méthode des directions alternées (ADMM). EGC janvier 2023: 247-258. Revue des Nouvelles Technologies de l'Information E-39.
  4. A. Djiberou, V. Antoine, E. Mephu, S. Moreno. Apport de l'entropie pour les c-moyennes floues sur des données catégorielles. EGC janvier 2021: 519-520. Revue des Nouvelles Technologies de l'Information E-37.
  5. N. Wagner, V. Antoine, J. Koko, M.-M. Mialon, R. Lardy, I. Veissier. Comparaison de méthodes d'apprentissage automatique pour détecter les anomalies dans l'activité des animaux. EGC janvier 2020: 521-522. Revue des Nouvelles Technologies de l'Information E-37.
  6. V. Antoine, N. Labroche: Classification évidentielle avec contraintes d'étiquettes. EGC janvier 2015: 125-136, Luxembourg, Luxembourg. Revue des Nouvelles Technologies de l'Information E-28, Hermann-Éditions 2015.
  7. V. Antoine, B. Quost, M.-H. Masson, T. Denœux. Algorithme évidentiel des c-moyennes avec contraintes. In Cépaduès-Editions, editor, Rencontres Francophones sur la Logique Floue et ses Applications (LFA), pages 275–282, Annecy, France, Novembre 2009.