Learning from imbalanced data using methods of sample selection. - Ikram Chairi; Souad Alaoui; Abdelouahid Lyhyaoui (ICMCS, 2012)

Sample Selection Based Active Learning for Imbalanced Data. - Ikram Chairi; Souad Alaoui; Abdelouahid Lyhyaoui (SITIS, 2014)

A proposal for improving spoken dialog systems using context information fusion. - Ikram Chairi; David Griol; Jesús García Herrero; José Manuel Molina 001 (FUSION, 2015)

Modeling Human-Machine Interaction by Means of a Sample Selection Method. - Ikram Chairi; David Griol; José Manuel Molina 001 (PAAMS (Workshops), 2015)

An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction. - ElMehdi Boujou; Hamza Chataoui; Abdellah El Mekki; Saad Benjelloun; Ikram Chairi; Ismail Berrada (CoRR, 2021)

Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction. - Abdelkrim Alahyane; Mohamed El Fakir; Saad Benjelloun; Ikram Chairi (CoRR, 2021)

Mapping Cost-Sensitive Learning for Imbalanced Medical Data: Research Trends and Applications. - Imane Araf; Ali Idri; Ikram Chairi (KDIR, 2023)

Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis. - Abdulganiyu Jimoh; Fatima Zahrae Nakach; Ali Idri; Ikram Chairi (Deep-Breath@MICCAI, 2024)

Cost-sensitive learning for imbalanced medical data: a review. - Imane Araf; Ali Idri; Ikram Chairi (Artif. Intell. Rev., 2024)