| Automated machine learning: State-of-the-art and open challenges R Elshawi, M Maher, S Sakr arXiv preprint arXiv:1906.02287, 2019 | 282 | 2019 |
| Smartml: A meta learning-based framework for automated selection and hyperparameter tuning for machine learning algorithms M Maher, S Sakr EDBT: 22nd International conference on extending database technology, 2019 | 67 | 2019 |
| AutoMLBench: a comprehensive experimental evaluation of automated machine learning frameworks H Eldeeb, M Maher, R Elshawi, S Sakr Expert Systems with Applications 243, 122877, 2024 | 14 | 2024 |
| Comprehensive empirical evaluation of deep learning approaches for session-based recommendation in e-commerce M Maher, PM Ngoy, A Rebriks, C Ozcinar, J Cuevas, R Sanagavarapu, ... Entropy 24 (11), 1575, 2022 | 9 | 2022 |
| Instance-based label smoothing for better calibrated classification networks M Maher, M Kull 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 9 | 2021 |
| Minaret: A recommendation framework for scientific reviewers MR Moawad, M Maher, A Awad, S Sakr the 22nd International Conference on Extending Database Technology (EDBT), 2019 | 7 | 2019 |
| GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting E Sayed, M Maher, O Sedeek, A Eldamaty, AK Deklel, R ElShawi International Conference on Extending Database Technology (EDBT), 2024 | 4 | 2024 |
| The impact of Auto-Sklearn's Learning Settings: Meta-learning, Ensembling, Time Budget, and Search Space Size. H Eldeeb, O Matsuk, M Maher, A Eldallal, S Sakr EDBT/ICDT Workshops, 2021 | 4 | 2021 |
| Instance-based Label Smoothing for Better Classifier Calibration M Maher | 1 | |
| AutoMLBench: a comprehensive experimental evaluation of automated machine learning frameworks H Eldeeb, M Maher, R Elshawi, S Sakr arXiv preprint arXiv:2204.08358, 2022 | | 2022 |
Radwa ElShawiAssociate Professor of Data Science, Institute of Computer Science, University of TartuZweryfikowany adres z ut.ee