An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles. - Muhammad Atta Othman Ahmed; Luca Didaci; Giorgio Fumera; Fabio Roli (MCS, 2015)

Trained Neural Networks Ensembles Weight Connections Analysis. - Muhammad Atta Othman Ahmed (AMLTA, 2018)

Multi-filter Score-Level Fusion for Fingerprint Verification. - Muhammad Atta Othman Ahmed; Omar Reyad; Yasser AbdelSatar; Nahla F. Omran (AMLTA, 2018)

Interactive Fuzzy Cellular Automata for Fast Person Re-Identification. - Bahram Lavi; Muhammad Atta Othman Ahmed (AMLTA, 2018)

The Role of Diversity in the Design of Multiple Classifier Systems. - Muhammad Atta Othman Ahmed (2018)

An Efficient Deep Convolutional Neural Network for Visual Image Classification. - Basma Abd El-Rahiem; Muhammad Atta Othman Ahmed; Omar Reyad; Hani Abd El-Rahaman; Mohamed Amin; Fathi E. Abd El-Samie (AMLTA, 2019)

HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images. - Muhammad Atta Othman Ahmed; Ibrahim A. Abbas; Yasser AbdelSatar (BMC Medical Imaging, 2023)

Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics. - Muhammad Atta Othman Ahmed; Yasser AbdelSatar; Eed M. Darwish; Elnomery Allam Zanaty (Brain Informatics, 2024)