collaborators

5 papers

eess.IV2023

Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2

Pneumonia is a life-threatening lung infection resulting from several different viral infections. Identifying and treating pneumonia on chest X-ray images can be difficult due to i…

cs.CL2023

Deep Learning-based Sentiment Classification: A Comparative Survey

Mohamed Kayed, Rebeca P. Díaz-Redondo, Alhassan Mabrouk

Recently, Deep Learning (DL) approaches have been applied to solve the Sentiment Classification (SC) problem, which is a core task in reviews mining or Sentiment Analysis (SA). The…

cs.CL2023

SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites

Alhassan Mabrouk, Rebeca P. Díaz-Redondo, Mohammed Kayed

E-Commerce (EC) websites provide a large amount of useful information that exceed human cognitive processing ability. In order to help customers in comparing alternatives when buyi…

cs.CV2023

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things

Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz +2

The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection an…

cs.CV2023

Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis

Alhassan Mabrouk, Rebeca P. Díaz Redondo, Mohamed Abd Elaziz +1

Federated learning is a very convenient approach for scenarios where (i) the exchange of data implies privacy concerns and/or (ii) a quick reaction is needed. In smart healthcare s…