| A comprehensive review of tools for exploratory analysis of tabular industrial datasets A Ghosh, M Nashaat, J Miller, S Quader, C Marston Visual Informatics 2 (4), 235-253, 2018 | 64 | 2018 |
| Hybridization of active learning and data programming for labeling large industrial datasets M Nashaat, A Ghosh, J Miller, S Quader, C Marston, JF Puget 2018 IEEE International Conference on Big Data (Big Data), 46-55, 2018 | 32 | 2018 |
| Asterisk: Generating large training datasets with automatic active supervision M Nashaat, A Ghosh, J Miller, S Quader ACM Transactions on Data Science 1 (2), 1-25, 2020 | 24 | 2020 |
| Customer support ticket escalation prediction using feature engineering L Montgomery, D Damian, T Bulmer, S Quader Requirements Engineering 23, 333-355, 2018 | 18 | 2018 |
| M-Lean: An end-to-end development framework for predictive models in B2B scenarios M Nashaat, A Ghosh, J Miller, S Quader, C Marston Information and Software Technology 113, 131-145, 2019 | 14 | 2019 |
| WeSAL: Applying active supervision to find high-quality labels at industrial scale M Nashaat, A Ghosh, J Miller, S Quader | 10 | 2020 |
| Semi-supervised ensemble learning for dealing with inaccurate and incomplete supervision M Nashaat, A Ghosh, J Miller, S Quader ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-33, 2021 | 8 | 2021 |
| Interpretation of structural preservation in low-dimensional embeddings A Ghosh, M Nashaat, J Miller, S Quader IEEE Transactions on Knowledge and Data Engineering 34 (5), 2227-2240, 2020 | 8 | 2020 |
| Learning-based workload resource optimization for database management systems SS Quader, NAJ Duran, S Mukhopadhyay, E Papangelis, M Litoiu, ... US Patent 11,500,830, 2022 | 7 | 2022 |
| Context-based evaluation of dimensionality reduction algorithms—Experiments and statistical significance analysis A Ghosh, M Nashaat, J Miller, S Quader ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-40, 2021 | 7 | 2021 |
| VisExPreS: A visual interactive toolkit for user-driven evaluations of embeddings A Ghosh, M Nashaat, J Miller, S Quader IEEE Transactions on Visualization and Computer Graphics 28 (7), 2791-2807, 2020 | 7 | 2020 |
| Tabreformer: unsupervised representation learning for erroneous data detection M Nashaat, A Ghosh, J Miller, S Quader ACM/IMS Transactions on Data Science 2 (3), 1-29, 2021 | 6 | 2021 |
| Data-analysis-based, noisy labeled and unlabeled datapoint detection and rectification for machine-learning SS Quader, MNA Elmowafy, DC Reimer US Patent 11,853,908, 2023 | 4 | 2023 |
| Classification of erroneous cell data SS Quader, P Mierzejewski, MNA Elmowafy US Patent 11,574,250, 2023 | 2 | 2023 |
| Labeling data using automated weak supervision SS Quader, JF Puget, MNA Elmowafy US Patent App. 16/732,792, 2021 | 2 | 2021 |
| Processing large machine learning datasets P Novotny, H Min, SS Quader US Patent 12,086,112, 2024 | 1 | 2024 |
| LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates S Quader, A Jaramillo, S Mukhopadhyay, G Abuoda, C Zuzarte, D Kalmuk, ... arXiv preprint arXiv:2401.12103, 2024 | 1 | 2024 |
| Quality assessment of extracted features from high-dimensional machine learning datasets P Novotny, A Basak, SS Quader, HC Samulowitz, C Marston US Patent 11,816,127, 2023 | 1 | 2023 |
| Erroneous cell detection using an artificial intelligence model SS Quader, O Al-Shamali, J Miller, Y Saillet, A Maier, R Lazar US Patent App. 17/455,461, 2023 | 1 | 2023 |
| Natural language query processing based on machine learning to perform a task B Chisholm, S Kwatra, SS Quader, A Bhangu, J Zhang, S Dhayananth, ... US Patent App. 17/957,006, 2024 | | 2024 |
Mona NashaatPort Said UniversityVerified email at eng.psu.edu.eg