An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline. - Hassan Eldeeb; Shota Amashukeli; Radwa El Shawi (ICPR Workshops (4), 2020)

The impact of Auto-Sklearn's Learning Settings: Meta-learning, Ensembling, Time Budget, and Search Space Size. - Hassan Eldeeb; Oleh Matsuk; Mohamed Maher; Abdelrhman Eldallal; Sherif Sakr (EDBT/ICDT Workshops, 2021)

BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. - Hassan Eldeeb; Shota Amashukeli; Radwa El Shawi (IEEE Big Data, 2022)

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks. - Hassan Eldeeb; Mohamed Maher; Oleh Matsuk; Abdelrahman Aldallal; Radwa El Shawi; Sherif Sakr (CoRR, 2022)

AutoMLBench: A comprehensive experimental evaluation of automated machine learning frameworks. - Hassan Eldeeb; Mohamed Maher; Radwa El Shawi; Sherif Sakr (Expert Syst. Appl., 2024)

Empowering Machine Learning With Scalable Feature Engineering and Interpretable AutoML. - Hassan Eldeeb; Radwa Elshawi (IEEE Trans. Artif. Intell., 2025)