| Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data A Ragab, M El-Koujok, B Poulin, M Amazouz, S Yacout Expert Systems with Applications 95, 368-383, 2018 | 77 | 2018 |
| Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan–Meier estimation A Ragab, MS Ouali, S Yacout, H Osman Journal of Intelligent Manufacturing 27, 943-958, 2016 | 67 | 2016 |
| Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook OM Abdeldayem, AM Dabbish, MM Habashy, MK Mostafa, M Elhefnawy, ... Science of The Total Environment 803, 149834, 2022 | 65 | 2022 |
| Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions A Ragab, S Yacout, MS Ouali, H Osman Journal of Intelligent Manufacturing 30, 255-274, 2019 | 65 | 2019 |
| Recent advances in the theory and practice of logical analysis of data M Lejeune, V Lozin, I Lozina, A Ragab, S Yacout European Journal of Operational Research 275 (1), 1-15, 2019 | 44 | 2019 |
| Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning A Ragab, M El Koujok, H Ghezzaz, M Amazouz, MS Ouali, S Yacout Expert Systems with Applications 122, 388-405, 2019 | 31 | 2019 |
| A multiagent-based methodology for known and novel faults diagnosis in industrial processes M El Koujok, A Ragab, H Ghezzaz, M Amazouz IEEE Transactions on Industrial Informatics 17 (5), 3358-3366, 2020 | 29 | 2020 |
| Large-scale empirical study of important features indicative of discovered vulnerabilities to assess application security M Zhang, XDC De Carnavalet, L Wang, A Ragab IEEE Transactions on Information Forensics and Security 14 (9), 2315-2330, 2019 | 28 | 2019 |
| Adaptive prognostics in a controlled energy conversion process based on long-and short-term predictors M Soualhi, M El Koujok, KTP Nguyen, K Medjaher, A Ragab, H Ghezzaz, ... Applied Energy 283, 116049, 2021 | 21 | 2021 |
| Pattern‐based prognostic methodology for condition‐based maintenance using selected and weighted survival curves A Ragab, S Yacout, MS Ouali, H Osman Quality and Reliability Engineering International 33 (8), 1753-1772, 2017 | 20 | 2017 |
| Fault detection and diagnosis in the Tennessee Eastman Process using interpretable knowledge discovery A Ragab, M El-Koujok, M Amazouz, S Yacout 2017 annual reliability and maintainability symposium (RAMS), 1-7, 2017 | 19 | 2017 |
| Fault classification in the process industry using polygon generation and deep learning M Elhefnawy, A Ragab, MS Ouali Journal of Intelligent Manufacturing 33 (5), 1531-1544, 2022 | 18 | 2022 |
| Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining K Nadim, A Ragab, MS Ouali Journal of Intelligent Manufacturing, 2022 | 13 | 2022 |
| High-temperature modeling of the IV characteristics of GaN150 HEMT using machine learning techniques A Abubakr, A Hassan, A Ragab, S Yacout, Y Savaria, M Sawan 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 10 | 2018 |
| Remaining useful life prognostics using pattern-based machine learning A Ragab, S Yacout, MS Ouali 2016 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2016 | 10 | 2016 |
| A data-driven causality analysis tool for fault diagnosis in industrial processes E Alizadeh, M El Koujok, A Ragab, M Amazouz IFAC-PapersOnLine 51 (24), 147-152, 2018 | 9 | 2018 |
| Multiple failure modes prognostics using logical analysis of data A Ragab, S Yacout, MS Ouali, H Osman 2015 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2015 | 9 | 2015 |
| Interpretable pattern-based machine learning for condition-based maintenance A Ragab, S Yacout, MS Ouali | 8 | 2015 |
| Decision fusion for reliable fault classification in energy-intensive process industries A Ragab, H Ghezzaz, M Amazouz Computers in Industry 138, 103640, 2022 | 7 | 2022 |
| A multi-agent approach based on machine-learning for fault diagnosis M El Koujok, A Ragab, M Amazouz IFAC-PapersOnLine 52 (10), 103-108, 2019 | 7 | 2019 |
