Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001 (CORES, 2019)

Training set selection and swarm intelligence for enhanced integration in multiple classifier systems. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001 (Appl. Soft Comput., 2020)

Selective ensemble of classifiers trained on selective samples. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001 (Neurocomputing, 2022)

An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001; Gonzalo Martínez-Muñoz (Pattern Recognit., 2022)

Enhancing Remote Sensing Image Classification through Modified VGG 16: Augmentation and Missing Pixel Imputation Approaches. - Mohammed Attya; O. M. Abo-Seida; H. M. Abdulkader; Amgad M. Mohammed (ICCTA, 2023)

Dynamic Classification Ensembles for Handling Imbalanced Multiclass Drifted Data Streams. - Ahmed H. Madkour; Hatem M. Abdelkader; Amgad M. Mohammed (Inf. Sci., 2024)

A hybrid deep learning approach for accurate water body segmentation in satellite imagery. - Mohammed Attya; O. M. Abo-Seida; H. M. Abdulkader; Amgad M. Mohammed (Earth Sci. Informatics, 2025)

A hybrid deep learning framework for solar irradiation prediction based on regional satellite images and data. - Mohammed Attya; Osama Abo-Seida; Hatem Mohamed; Amgad M. Mohammed (Neural Comput. Appl., 2025)