Service composition recovery using formal concept analyst & WordNet similarity. - Mohamed Maher; Haitham S. Hamza; Ramadan Moawad Mohamed (IRI, 2011)

Using Eye Movement to Assess Auditory Attention. - Alaa Bakry; Radwa Al-khatib; Randa Negm; Eslam Sabra; Mohamed Maher; Zainab Mohamed; Doaa Shawky; Ashraf H. Badawi (AMLTA, 2019)

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

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

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

The Automatic Detection of Cognition Using EEG and Facial Expressions. - Mohamed El Kerdawy; Mohamed El Halaby; Afnan Hassan; Mohamed Maher; Hatem A. Fayed; Doaa Shawky; Ashraf H. Badawi (Sensors, 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)

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

Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models. - Muhammad N. ElNokrashy; Amr Hendy; Mohamed Maher; Mohamed Afify; Hany Hassan (AMTA, 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)

Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation. - Muhammad N. ElNokrashy; Amr Hendy; Mohamed Maher; Mohamed Afify; Hany Hassan Awadalla (CoRR, 2022)

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

Monetisation of digital health data through a GDPR-compliant and blockchain enabled digital health data marketplace: A proposal to enhance patient's engagement with health data repositories. - Mohamed Maher; Imtiaz Khan; Verma Prikshat (Int. J. Inf. Manag. Data Insights, 2023)

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

Simply Trainable Nearest Neighbour Machine Translation with GPU Inference. - Hossam Amer; Abdelrahman Abouelenin; Mohamed Maher; Evram Nairouz; Mohamed Afify; Hany Awadalla (CoRR, 2024)

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

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

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