| Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer’s disease based on cerebral gray matter changes H Huang, S Zheng, Z Yang, Y Wu, Y Li, J Qiu, Y Cheng, P Lin, Y Lin, ... Cerebral Cortex 33 (3), 754-763, 2023 | 28 | 2023 |
| Gsa‐elm: a hybrid learning model for short‐term traffic flow forecasting Z Cui, B Huang, H Dou, G Tan, S Zheng, T Zhou IET Intelligent Transport Systems 16 (1), 41-52, 2022 | 21 | 2022 |
| A noise-immune reinforcement learning method for early diagnosis of neuropsychiatric systemic lupus erythematosus G Tan, B Huang, Z Cui, H Dou, S Zheng, T Zhou Mathematical Biosciences and Engineering 19 (3), 2219-2239, 2022 | 12 | 2022 |
| A noise-immune boosting framework for short-term traffic flow forecasting S Zheng, S Zhang, Y Song, Z Lin, D Jiang, T Zhou Complexity 2021, 1-9, 2021 | 10 | 2021 |
| A noise-eliminated gradient boosting model for short-term traffic flow forecasting S Zheng, S Zhang, Y Song, Z Lin, F Wang, T Zhou 2020 8th International Conference on Digital Home (ICDH), 166-171, 2020 | 6 | 2020 |
| Hybrid ga-svr: An effective way to predict short-term traffic flow G Tan, S Zheng, B Huang, Z Cui, H Dou, X Yang, T Zhou International Conference on Algorithms and Architectures for Parallel …, 2021 | 3 | 2021 |
| A noise-immune extreme learning machine for short-term traffic flow forecasting Y Wei, S Zheng, X Yang, B Huang, G Tan, T Zhou International Conference on Smart Transportation and City Engineering 2021 …, 2021 | 3 | 2021 |
