2019 · Mahmoud Elbattah, Romuald Carette, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 61

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Automatic Autism Spectrum Disorder Detection Thanks to Eye-Tracking and Neural Network-Based Approach

2018 · Romuald Carette, Federica Cilia, et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 58

Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset

2018 · Romuald Carette, Mahmoud Elbattah, et al. · International Conference on Digital Information Management · 56

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Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text

2020 · Emilien Arnaud, Mahmoud Elbattah, et al. · IEEE International Conference on Big Data (BigData) · 53

Heatmaps for Visual Explainability of CNN-Based Predictions for Multivariate Time Series with Application to Healthcare

2020 · Fabien Viton, Mahmoud Elbattah, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 42

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Use of Artificial Intelligence to Manage Patient Flow in Emergency Department during the COVID-19 Pandemic: A Prospective, Single-Center Study

2022 · Emilien Arnaud, Mahmoud Elbattah, et al. · International Journal of Environmental Research and Public Health · 35

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NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement

2020 · Mahmoud Elbattah, Jean-Luc Guerin, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 31

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kcnfs: An Efficient Solver for Random k-SAT Formulae

2004 · Gilles Dequen, Olivier Dubois · Lecture notes in computer science · 31

Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking

2022 · Mahmoud Elbattah, Jean-Luc Guérin, et al. · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · 28

Eye-tracking Dataset to Support the Research on Autism Spectrum Disorder

2022 · Federica Cilia, Romuald Carette, et al. · 28

NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes

2021 · Emilien Arnaud, Mahmoud Elbattah, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 26

Predictive models in emergency medicine and their missing data strategies: a systematic review

2023 · Emilien Arnaud, Mahmoud Elbattah, et al. · npj Digital Medicine · 24

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Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models

2022 · Émilien Arnaud, Mahmoud Elbattah, et al. · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · 20

Encoding Hash Functions as a SAT Problem

2012 · F. Legendre, G. Dequen, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 19

On Inconsistent Clause-Subsets for Max-SAT Solving

2007 · Sylvain Darras, Gilles Dequen, et al. · Lecture notes in computer science · 19

Applications of machine learning methods to assist the diagnosis of autism spectrum disorder

2023 · Mahmoud Elbattah, Romuald Carette, et al. · Elsevier eBooks · 17

Using Boolean Constraint Propagation for Sub-clauses Deduction

2005 · S. Darras, G. Dequen, et al. · Lecture notes in computer science · 15

Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review

2024 · Mahmoud Elbattah, Emilien Arnaud, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 14

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Random cluster parallel PBFT global consensus for consistent blockchain distributed ledger

2025 · Wassim Abbessi, Sofiane Ouni, et al. · Cluster Computing · 13

Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques

2024 · Mahmoud Elbattah, Osman Ali Sadek Ibrahim, et al. · Frontiers in Neuroinformatics · 13

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Works count: 97

Citation count: 1,282

H-index: 19

I10-index: 29