| Ema at semeval-2018 task 1: Emotion mining for arabic G Badaro, O El Jundi, A Khaddaj, A Maarouf, R Kain, H Hajj, W El-Hajj proceedings of The 12th international workshop on semantic evaluation, 236-244, 2018 | 59 | 2018 |
| Machine learning assisted petrophysical logs quality control, editing and reconstruction M Singh, G Makarychev, H Mustapha, D Voleti, R Akkurt, KA Daghar, ... Abu Dhabi International Petroleum Exhibition and Conference, D021S054R001, 2020 | 16 | 2020 |
| Chain-based machine learning for full PVT data prediction K Ghorayeb, AA Mawlod, A Maarouf, Q Sami, N El Droubi, R Merrill, ... Journal of Petroleum Science and Engineering 208, 109658, 2022 | 15 | 2022 |
| The Intelligent Field Development Plan Through Integrated Cloud Computing and Artificial Intelligence AI Solutions S Ramatullayev, S Su, C Rat, A Maarouf, M Mihai, H Mustapha, Y Djanuar, ... Abu Dhabi International Petroleum Exhibition and Conference, D011S025R003, 2021 | 7 | 2021 |
| Deep-Learning-Based Surrogate Reservoir Model for History-Matching Optimization A Maarouf, S Tahir, S Su, S Ramatullayev, C Rat, C Kada Kloucha, ... Abu Dhabi International Petroleum Exhibition and Conference, D021S070R002, 2022 | 4 | 2022 |
| Novel approach for automated pore network characterization and machine learning assisted capillary pressure modeling for an improved water saturation modelling in carbonate … N Gerges, G Makarychev, LA Barillas, C Darous, A Maarouf, M Madhavan, ... SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2023 | 3 | 2023 |
| Machine-Learning-Assisted Well-Log Data Quality Control and Preprocessing Lab N Gerges, G Makarychev, LA Barillas, A Maarouf, M Madhavan, S Gore, ... Abu Dhabi International Petroleum Exhibition and Conference, D011S009R002, 2022 | 2 | 2022 |
| A Workflow to Analyze Vertical Formation Heterogeneity and Optimum Geological Grid Layering Using Petrophysical Logs N Gerges, G Makarychev, A Maarouf, LA Barillas, M Madhavan, S Gore, ... Abu Dhabi International Petroleum Exhibition and Conference, D042S196R002, 2022 | 2 | 2022 |
| A Comparative Study for Deep-Learning-Based Methods for Automated Reservoir Simulation A Maarouf, S Tahir, S Su, C Kada Kloucha, H Mustapha SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2023 | 1 | 2023 |
| Intelligent Waterflood Optimization Advisory System–A Step Change Towards Digital Transformation S Ramatullayev, MM Salim, M Ibrahim, H Mustapha, O El Jundi, ... Abu Dhabi International Petroleum Exhibition and Conference, D022S170R002, 2021 | 1 | 2021 |
| Optimized Distribution of an Accelerated Convolutional Neural Network across Multiple FPGAs A Maarouf, N El Droubi, R Morcel, H Hajj, MAR Saghir, H Akkary 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 1 | 2020 |
| Novel Machine-Learning Driven Framework for Rock Typing and Permeability Prediction Using Borehole and Spatial Data—A Case Study from a Supergiant Carbonate Reservoir in Abu Dhabi G Makarychev, N Gerges, A Maarouf, L Almarzooqi, LAB Cortez, ... SPWLA Annual Logging Symposium, D041S008R001, 2024 | | 2024 |
| AI-Assisted History Matching Application to a Large Onshore Carbonate Reservoir N El Droubi, S Tahir, A Maarouf, SJ Su, O El Jundi, CK Kloucha, ... Abu Dhabi International Petroleum Exhibition and Conference, D011S031R007, 2023 | | 2023 |
| Novel Approach for Machine Learning Assisted Carbonates Reservoirs Saturation Heigh Modeling and Automated Pore Network Characterization N Gerges, LAB Cortez, M Madhavan, S Kuruba, L Almarzooqi, ... SPWLA 64th Annual Logging Symposium, 2023 | | 2023 |
| Transfer Learning Approach to Developing Large Scale Lexicon for Resource Constrained Languages A Maarouf | | 2021 |
