Histological breast cancer classification using CNN and MLP based ensembles. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (AICCSA, 2022)

Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (KDIR, 2022)

Deep Stacked Ensemble for Breast Cancer Diagnosis. - Omar El Alaoui; Hasnae Zerouaoui; Ali Idri (WorldCIST (1), 2022)

Heterogeneous Ensemble Learning for Modelling Species Distribution: A Case Study of Redstarts Habitat Suitability. - Omar El Alaoui; Ali Idri (DATA, 2023)

Impact of Thresholds of Univariate Filters for Predicting Species Distribution. - Yousra Cherif; Ali Idri; Omar El Alaoui (KDIR, 2023)

A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (Data Technol. Appl., 2023)

Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles. - Omar El Alaoui; Ali Idri (Ecol. Informatics, 2023)

Habitat Suitability Assessment of Three Passerine Birds Using Ensemble Learning with Diverse Models. - Omar El Alaoui; Ali Idri (WorldCIST (3), 2024)

An Empirical Evaluation of Ensemble Strategies in Habitat Suitability Modeling. - Omar El Alaoui; Ali Idri (SN Comput. Sci., 2024)

New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis. - Hasnae Zerouaoui; Omar El Alaoui; Ali Idri (Multim. Tools Appl., 2024)

DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (Expert Syst. J. Knowl. Eng., 2025)