A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm. - Ouadie Gharroudi; Haytham Elghazel; Alex Aussem (Canadian AI, 2014)

Calibrated k-labelsets for Ensemble Multi-label Classification. - Ouadie Gharroudi; Haytham Elghazel; Alex Aussem (ICONIP (1), 2015)

Ensemble Multi-label Classification: A Comparative Study on Threshold Selection and Voting Methods. - Ouadie Gharroudi; Haytham Elghazel; Alex Aussem (ICTAI, 2015)

A Semi-Supervised Ensemble Approach for Multi-label Learning. - Ouadie Gharroudi; Haytham Elghazel; Alexandre Aussem (ICDM Workshops, 2016)

Ensemble multi-label text categorization based on rotation forest and latent semantic indexing. - Haytham Elghazel; Alex Aussem; Ouadie Gharroudi; Wafa Saadaoui (Expert Syst. Appl., 2016)

Ensemble multi-label learning in supervised and semi-supervised settings. (Apprentissage multi-label ensembliste dans le context supervisé et semi-supervisé). - Ouadie Gharroudi (2017)