Amgad M. Mohammed

According to our database, Amgad M. Mohammed authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Deep learning for new fashion product demand prediction: integrating visual similarity and demand correction in cold-start scenarios.

Mona Adel, Amgad M. Mohammed, Asmaa H. Elsaid, Amira Abdelatey

Int. J. Data Sci. Anal., December, 2026

Dynamic self-paced ensemble for imbalance-aware learning.

Amgad M. Mohammed, Enrique Onieva, Michal Wozniak

Pattern Anal. Appl., June, 2026

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., July, 2025

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, February, 2025

2024

Dynamic Classification Ensembles for Handling Imbalanced Multiclass Drifted Data Streams.

Ahmed H. Madkour, Hatem M. Abdelkader, Amgad M. Mohammed

Inf. Sci., 2024

2023

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

Proceedings of the 33rd International Conference on Computer Theory and Applications, 2023

2022

An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation.

Amgad M. Mohammed, Enrique Onieva, Michal Wozniak, Gonzalo Martínez-Muñoz

Pattern Recognit., 2022

Selective ensemble of classifiers trained on selective samples.

Amgad M. Mohammed, Enrique Onieva, Michal Wozniak

Neurocomputing, 2022

2020

Training set selection and swarm intelligence for enhanced integration in multiple classifier systems.

Amgad M. Mohammed, Enrique Onieva, Michal Wozniak

Appl. Soft Comput., 2020

2019

Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning.

Amgad M. Mohammed, Enrique Onieva, Michal Wozniak

Proceedings of the Progress in Computer Recognition Systems, 2019