SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms. - Mohamed Maher 001; Sherif Sakr (EDBT, 2019)

MINARET: A Recommendation Framework for Scientific Reviewers. - Sherif Sakr; Mohamed Ragab 001; Mohamed Maher 001; Ahmed Awad 001 (EDBT, 2019)

Automated Machine Learning: State-of-The-Art and Open Challenges. - Radwa El Shawi; Mohamed Maher 001; Sherif Sakr (CoRR, 2019)

The impact of Auto-Sklearn's Learning Settings: Meta-learning, Ensembling, Time Budget, and Search Space Size. - Hassan Eldeeb; Oleh Matsuk; Mohamed Maher 001; Abdelrhman Eldallal; Sherif Sakr (EDBT/ICDT Workshops, 2021)

Instance-based Label Smoothing For Better Calibrated Classification Networks. - Mohamed Maher 001; Meelis Kull (ICMLA, 2021)

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks. - Hassan Eldeeb; Mohamed Maher 001; Oleh Matsuk; Abdelrahman Aldallal; Radwa El Shawi; Sherif Sakr (CoRR, 2022)

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce. - Mohamed Maher 001; Perseverance Munga Ngoy; Aleksandrs Rebriks; Cagri Ozcinar; Josué Cuevas; Rajasekhar Sanagavarapu; Gholamreza Anbarjafari (Entropy, 2022)

GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting. - Esraa Sayed; Mohamed Maher 001; Omar Sedeek; Ahmed Eldamaty; Amr Kamel; Radwa El Shawi (EDBT, 2024)

AutoMLBench: A comprehensive experimental evaluation of automated machine learning frameworks. - Hassan Eldeeb; Mohamed Maher 001; Radwa El Shawi; Sherif Sakr (Expert Syst. Appl., 2024)

ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks. - Mohamed Maher 001; Reem Ayman; Sondos Akram; Omar Marie; Radwa El Shawi (AIME (2), 2025)

SmartCal: A Novel Automated Approach to Classifier Probability Calibration. - Mohamed Maher Abdelrahman; Osama Fayez Oun; Youssef Medhat 001; Mariam Magdy Elseedawy; Yara Mostafa Marei; Abdullah Ibrahim; Radwa Elshawi (AutoML, 2025)

FedForecaster: An Automated Federated Learning Approach for Time-series Forecasting. - Mohamed Maher 001; Osama Fayez Oun; Mahmoud Saeed Mesmeh; Radwa El Shawi (EDBT, 2025)