| Load forecasting using deep neural networks S Hosein, P Hosein 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2017 | 131 | 2017 |
| Measuring domain portability and error propagation in biomedical QA S Hosein, D Andor, R McDonald Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 13 | 2020 |
| Scalable Causal Learning for Predicting Adverse Events in Smart Buildings. A Basak, OJ Mengshoel, S Hosein, R Martin AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016 | 9 | 2016 |
| Active learning: Curious ai algorithms S Hosein URL: https://www. datacamp. com/community/tutorials/active-learning (hämtad …, 2018 | 6 | 2018 |
| Improving power generation efficiency using deep neural networks S Hosein, P Hosein arXiv preprint arXiv:1606.05018, 2016 | 5 | 2016 |
| Accept: Introduction of the adverse condition and critical event prediction toolbox RA Martin, D Santanu, VM Janakiraman, S Hosein | 5 | 2015 |
| Power grid fault detection using an amr network P Hosein, S Hosein, S Bahadoorsingh 2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 1-5, 2015 | 4 | 2015 |
| Web application for power grid fault management S Hosein, P Hosein, W Kattick, V Ratan 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS …, 2016 | 2 | 2016 |
| Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building. A Basak, OJ Mengshoel, S Hosein, R Martin, J Jayakumaran, MG Morga, ... AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016 | 2 | 2016 |
Patrick HoseinUniversity of the West IndiesVerified email at sta.uwi.edu
