| Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management B Abbasi, T Babaei, Z Hosseinifard, K Smith-Miles, M Dehghani Computers & Operations Research 119, 104941, 2020 | 145 | 2020 |
| A study and a directory of energy consumption data sets of buildings T Babaei, H Abdi, CP Lim, S Nahavandi Energy and Buildings 94, 91-99, 2015 | 74 | 2015 |
| A fresh look at functional link neural network for motor imagery-based brain–computer interface IT Hettiarachchi, T Babaei, T Nguyen, CP Lim, S Nahavandi Journal of Neuroscience Methods 305, 28-35, 2018 | 18 | 2018 |
| How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function M Abolghasemi, B Abbasi, T Babaei, Z HosseiniFard arXiv preprint arXiv:2105.06618, 2021 | 14 | 2021 |
| Evaluating the performance of different classification methods on medical X-ray images A Khatami, S Araghi, T Babaei SN Applied Sciences 1 (10), 1154, 2019 | 7 | 2019 |
| A modified functional link neural network for data classification T Babaei, CP Lim, H Abdi, S Nahavandi Emerging Trends in Neuro Engineering and Neural Computation, 229-244, 2017 | 4 | 2017 |
| Individual and ensemble functional link neural networks for data classification T Babaei Jonid Abad Deakin University, 2018 | | 2018 |
CP LimProfessor, Swinburne University of TechnologyZweryfikowany adres z swin.edu.au