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Gribel, D., Gendreau, M., & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457. Lien externe
Gribel, D., Vidal, T., & Gendreau, M. (janvier 2021). Assortative-constrained stochastic block models [Communication écrite]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy. Lien externe
Gribel, D., & Vidal, T. (2019). HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering. Pattern Recognition, 88, 569-583. Lien externe
Vidal, T., Gribel, D., & Jaillet, P. (2019). Separable Convex Optimization with Nested Lower and Upper Constraints. INFORMS Journal on Optimization, 1(1), 71-90. Lien externe