| Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework MA Khamis, W Gomaa Engineering Applications of Artificial Intelligence 29, 134-151, 2014 | 236 | 2014 |
| Machine learning in computational docking MA Khamis, W Gomaa, WF Ahmed Artificial intelligence in medicine 63 (3), 135-152, 2015 | 136 | 2015 |
| Enhanced multiagent multi-objective reinforcement learning for urban traffic light control MA Khamis, W Gomaa 2012 11th international conference on machine learning and applications 1 …, 2012 | 67 | 2012 |
| Tokyo virtual living lab: Designing smart cities based on the 3d internet H Prendinger, K Gajananan, AB Zaki, A Fares, R Molenaar, D Urbano, ... IEEE Internet Computing 17 (6), 30-38, 2013 | 65 | 2013 |
| Comparative assessment of machine-learning scoring functions on PDBbind 2013 MA Khamis, W Gomaa Engineering Applications of Artificial Intelligence 45, 136-151, 2015 | 63 | 2015 |
| CHARM-deep: Continuous human activity recognition model based on deep neural network using IMU sensors of smartwatch S Ashry, T Ogawa, W Gomaa IEEE Sensors Journal 20 (15), 8757-8770, 2020 | 62 | 2020 |
| Efficient and robust skeleton-based quality assessment and abnormality detection in human action performance A Elkholy, ME Hussein, W Gomaa, D Damen, E Saba IEEE journal of biomedical and health informatics 24 (1), 280-291, 2019 | 61 | 2019 |
| CrossCount: A deep learning system for device-free human counting using WiFi OT Ibrahim, W Gomaa, M Youssef IEEE Sensors Journal 19 (21), 9921-9928, 2019 | 60 | 2019 |
| Multi-objective traffic light control system based on Bayesian probability interpretation MA Khamis, W Gomaa, H El-Shishiny 2012 15th International IEEE conference on intelligent transportation …, 2012 | 59 | 2012 |
| Freeway ramp-metering control based on reinforcement learning A Fares, W Gomaa 11th IEEE International Conference on Control & Automation (ICCA), 1226-1231, 2014 | 51 | 2014 |
| Humanoids skill learning based on real-time human motion imitation using Kinect R Elbasiony, W Gomaa Intelligent Service Robotics 11, 149-169, 2018 | 38 | 2018 |
| An LSTM-based descriptor for human activities recognition using IMU sensors S Ashry, R Elbasiony, W Gomaa Proceedings of the 15th International Conference on Informatics in Control …, 2018 | 36 | 2018 |
| Multi-agent reinforcement learning control for ramp metering A Fares, W Gomaa Progress in Systems Engineering: Proceedings of the Twenty-Third …, 2015 | 36 | 2015 |
| Adl classification based on autocorrelation function of inertial signals W Gomaa, R Elbasiony, S Ashry 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 30 | 2017 |
| A survey on human activity recognition based on temporal signals of portable inertial sensors R Elbasiony, W Gomaa The International Conference on Advanced Machine Learning Technologies and …, 2020 | 28 | 2020 |
| Adaptive traffic control system based on Bayesian probability interpretation MA Khamis, W Gomaa, A El-Mahdy, A Shoukry 2012 Japan-Egypt Conference on Electronics, Communications and Computers …, 2012 | 23 | 2012 |
| Detecting adversarial attacks in time-series data MG Abdu-Aguye, W Gomaa, Y Makihara, Y Yagi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 21 | 2020 |
| Robust Human Activity Recognition based on Deep Metric Learning. MG Abdu-Aguye, W Gomaa ICINCO (1) 1, 656-663, 2019 | 21 | 2019 |
| Competitive feature extraction for activity recognition based on wavelet transforms and adaptive pooling MG Abdu-Aguye, W Gomaa 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 21 | 2019 |
| Active logic semantics for a single agent in a static world ML Anderson, W Gomaa, J Grant, D Perlis Artificial Intelligence 172 (8-9), 1045-1063, 2008 | 21 | 2008 |
