Mahmoud Elbattah

33 papers B 3C 3Misc 2Journal 3Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Designing Guardrails to Align LLM-Generated Social Scenarios with the Needs of Autistic Learners. BIOSTEC (1) Mahmoud Elbattah, Federica Cilia
2025	—	`conf`	Explainable Machine Learning-Based Analysis for Identifying Risk Factors of Chronic Obstructive Pulmonary Disease. ICDH Chamara Jayanath, Émilien Arnaud, Mahmoud Elbattah
2025	B	`conf`	Few-Shot Learning with Pretrained Visual Embeddings of Eye-Tracking Patterns for Autism Detection. IEEE Big Data Mahmoud Elbattah, Federica Cilia, Gilles Dequen
2025	B	`conf`	StandUp: A Semi-RAG Retrieval Tool to Enhance Access to Housing Law in England and Wales. IEEE Big Data Jordan Edgecombe, Neil Phillips, Mahmoud Elbattah
2024	—	`conf`	Consistency of XAI Models against Medical Expertise: An Assessment Protocol. ICHI Émilien Arnaud, Mahmoud Elbattah, Amandine Pitteman, Gilles Dequen, Daniel Aiham Ghazali, Pedro A. Moreno-Sánchez
2024	J	`jnl`	Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques. Frontiers Neuroinformatics Mahmoud Elbattah, Osman Ali Sadek Ibrahim, Gilles Dequen
2024	—	`conf`	Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review. BIBM Mahmoud Elbattah, Émilien Arnaud, Daniel Aiham Ghazali, Gilles Dequen
2023	B	`conf`	Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes. IEEE Big Data Émilien Arnaud, Mahmoud Elbattah, Pedro A. Moreno-Sánchez, Gilles Dequen, Daniel Aiham Ghazali
2023	J	`jnl`	Predictive models in emergency medicine and their missing data strategies: a systematic review. npj Digit. Medicine Émilien Arnaud, Mahmoud Elbattah, Christine Ammirati, Gilles Dequen, Daniel Aiham Ghazali
2022	—	`conf`	Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models. HEALTHINF Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen
2022	—	`conf`	Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking. HEALTHINF Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
2021	—	`conf`	NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes. ICHI Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen
2021	—	`conf`	The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications. HEALTHINF Mahmoud Elbattah, Émilien Arnaud, Maxime Gignon, Gilles Dequen
2021	J	`jnl`	Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data. J. Imaging Mahmoud Elbattah, Colm Loughnane, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
2020	—	`conf`	Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text. IEEE BigData Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen
2020	C	`conf`	Generative Modeling of Synthetic Eye-tracking Data: NLP-based Approach with Recurrent Neural Networks. IJCCI Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
2020	—	`conf`	Heatmaps for Visual Explainability of CNN-Based Predictions for Multivariate Time Series with Application to Healthcare. ICHI Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen
2020	—	`conf`	Multi-channel ConvNet Approach to Predict the Risk of in-Hospital Mortality for ICU Patients. DeLTA Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen
2020	—	`conf`	NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement. SSCI Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
2019	C	`conf`	How can Machine Learning Support the Practice of Modeling and Simulation? - A Review and Directions for Future Research. DS-RT Mahmoud Elbattah
2019	—	`conf`	Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder. EMBC Mahmoud Elbattah, Romuald Carette, Gilles Dequen, Jean-Luc Guérin, Federica Cilia
2019	—	`conf`	Learning Triple Sequence Patterns in Knowledge Graphs to Predict Inconsistencies. KMIS Mahmoud Elbattah, Conor Ryan
2019	—	`conf`	Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths. HEALTHINF Romuald Carette, Mahmoud Elbattah, Federica Cilia, Gilles Dequen, Jean-Luc Guérin, Jérôme Bosche
2018	Misc	`conf`	Designing Care pathways using simulation Modeling and Machine Learning. WSC Mahmoud Elbattah, Owen Molloy, Bernard P. Zeigler
2018	—	`conf`	ML-Aided Simulation: A Conceptual Framework for Integrating Simulation Models with Machine Learning. SIGSIM-PADS Mahmoud Elbattah, Owen Molloy
2018	—	`conf`	Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset. ICDIM Romuald Carette, Mahmoud Elbattah, Gilles Dequen, Jean-Luc Guérin, Federica Cilia
2017	—	`conf`	Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland. AAAI Workshops Mahmoud Elbattah, Owen Molloy
2017	—	`conf`	Data-driven patient segmentation using K-means clustering: the case of hip fracture care in Ireland. ACSW Mahmoud Elbattah, Owen Molloy
2017	Misc	`conf`	Learning about systems using machine learning: Towards more data-driven feedback loops. WSC Mahmoud Elbattah, Owen Molloy
2017	—	`conf`	ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data. SWM@WSDM Mahmoud Elbattah
2016	—	`conf`	Coupling Simulation with Machine Learning: A Hybrid Approach for Elderly Discharge Planning. SIGSIM-PADS Mahmoud Elbattah, Owen Molloy
2016	—	`conf`	Using Machine Learning to Predict Length of Stay and Discharge Destination for Hip-Fracture Patients. IntelliSys (1) Mahmoud Elbattah, Owen Molloy
2015	C	`conf`	Towards Improving Modeling and Simulation of Clinical Pathways: Lessons Learned and Future Insights. SIMULTECH Mahmoud Elbattah, Owen Molloy