Posts by Collection

EEG-Based Alzheimer’s Disease Classification

A novel graph-based transformer framework achieving 99.1% accuracy for Alzheimer’s Disease classification — 7-18 percentage points above state-of-the-art

Arabic LLM Evaluation Framework

A comprehensive rubric-based evaluation framework for assessing Arabic Large Language Models in educational conversational applications

Medical Imaging AI at Contrast AI

State-of-the-art computer vision models for medical imaging applications with focus on generative models

Explainable AI for NLP Dataset Debugging

X-Deep: A Human-in-the-Loop framework using LIME and SHAP for systematic error analysis in NLP datasets - Published in Nature Scientific Reports

A New Graph-Transformer Framework for EEG-Based Differentiation of Alzheimer’s Disease and Frontotemporal Dementia Permalink

Published in Journal of Neural Engineering, 2024

Graph-based transformer for Alzheimer’s classification achieving 99.1% accuracy. (Under Review)

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A Comparative Framework for Evaluating Arabic LLMs in Educational Conversational Applications Permalink

Published in Language Resources and Evaluation (Q1), 2025

Rubric-based evaluation framework for Arabic LLMs in education. (Under Review)

Recommended citation: Shaimaa Lazem, Youssef Tageldin, Aly Nasr, et al. (2025). A Comparative Framework for Evaluating Arabic LLMs in Educational Conversational Applications. Language Resources and Evaluation (Under Review).
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A Data Centric HitL Framework for Conducting a Systematic Error Analysis of NLP Datasets using Explainable AI Permalink

Published in Scientific Reports, 2025

Human-in-the-Loop framework for systematic error analysis in NLP datasets using XAI. (Published in Scientific Reports)

Recommended citation: El-Sayed, A., Nasr, A., Mohamed, Y. et al. A Data Centric HitL Framework for Conducting a Systematic Error Analysis of NLP Datasets using Explainable AI. Sci Rep 15, 30406 (2025). https://doi.org/10.1038/s41598-025-13452-y
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