A Boosting Approach to Multiview Classification with Cooperation. - Sokol Koço; Cécile Capponi (ECML/PKDD (2), 2011)

PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification. - Emilie Morvant; Sokol Koço; Liva Ralaivola (ICML, 2012)

Applying multiview learning algorithms to human-human conversation classification. - Sokol Koço; Cécile Capponi; Frédéric Béchet (INTERSPEECH, 2012)

The Multi-Task Learning View of Multimodal Data. - Hachem Kadri; Stéphane Ayache; Cécile Capponi; Sokol Koço; François-Xavier Dupé; Emilie Morvant (ACML, 2013)

On multi-class classification through the minimization of the confusion matrix norm. - Sokol Koço; Cécile Capponi (ACML, 2013)

On multi-class learning through the minimization of the confusion matrix norm - Sokol Koço; Cécile Capponi (CoRR, 2013)

More efficient sparsity-inducing algorithms using inexact gradient. - Alain Rakotomamonjy; Sokol Koço; Liva Ralaivola (EUSIPCO, 2015)

Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization. - Alain Rakotomamonjy; Sokol Koço; Liva Ralaivola (CoRR, 2015)

Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization. - Alain Rakotomamonjy; Sokol Koço; Liva Ralaivola (IEEE Trans. Neural Networks Learn. Syst., 2017)

Integrating and reporting full multi-view supervised learning experiments using SuMMIT. - Baptiste Bauvin; Jacques Corbeil; Dominique Benielli; Sokol Koço; Cécile Capponi (LIDTA, 2022)

Toolbox for Multimodal Learn (scikit-multimodallearn). - Dominique Benielli; Baptiste Bauvin; Sokol Koço; Riikka Huusari; Cécile Capponi; Hachem Kadri; François Laviolette (J. Mach. Learn. Res., 2022)

Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data. - Baptiste Bauvin; Cécile Capponi; Florence Clerc; Pascal Germain; Sokol Koço; Jacques Corbeil (UAI, 2023)