Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method T Zhou, G Han, BN Li, Z Lin, EJ Ciaccio, PH Green, J Qin Computers in Biology and Medicine 85 (2), 1-6, 2017 | 120 | 2017 |
δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting T Zhou, G Han, X Xu, Z Lin, C Han, Y Huang, J Qin Neurocomputing 247 (4), 31-38, 2017 | 91 | 2017 |
PSO-ELM: A Hybrid Learning Model for Short-term Traffic Flow Forecasting W Cai, J Yang, Y Yu, Y Song, T Zhou, J Qin IEEE Access 8 (1), 6505-6514, 2020 | 84 | 2020 |
Hybrid dual Kalman filtering model for short-term traffic flow forecasting T Zhou, D Jiang, Z Lin, G Han, X Xu, J Qin IET Intelligent Transport Systems 13 (6), 1023-1032, 2019 | 74 | 2019 |
A noise-immune Kalman filter for short-term traffic flow forecasting L Cai, Z Zhang, J Yang, Y Yu, T Zhou, J Qin Physica A: Statistical Mechanics and its Applications 536, 122601, 2019 | 72 | 2019 |
A probability and integrated learning based classification algorithm for high-level human emotion recognition problems D Jiang, K Wu, D Chen, G Tu, T Zhou, A Garg, L Gao Measurement 150, 107049, 2020 | 71 | 2020 |
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting H Lu, Z Ge, Y Song, D Jiang, T Zhou, J Qin Neurocomputing 427, 169-178, 2021 | 67 | 2021 |
St-trafficnet: A spatial-temporal deep learning network for traffic forecasting H Lu, D Huang, Y Song, D Jiang, T Zhou, J Qin Electronics 9 (9), 1474, 2020 | 50 | 2020 |
A Sample-rebalanced Outlier-rejected k-nearest Neighbour Regression Model for Short-term Traffic Flow Forecasting L Cai, Y Yu, S Zhang, Y Song, Z Xiong, T Zhou IEEE Access 8, 22686-22696, 2020 | 50 | 2020 |
A learning-based multimodel integrated framework for dynamic traffic flow forecasting T Zhou, G Han, X Xu, C Han, Y Huang, J Qin Neural Processing Letters 43 (1), 407-430, 2019 | 47 | 2019 |
SVRGSA: a hybrid learning based model for short‐term traffic flow forecasting L Cai, Q Chen, W Cai, X Xu, T Zhou, J Qin IET Intelligent Transport Systems 13 (9), 1348-1355, 2019 | 43 | 2019 |
Multimodality sentiment analysis in social Internet of things based on hierarchical attentions and CSAT-TCN with MBM network G Xiao, G Tu, L Zheng, T Zhou, X Li, SH Ahmed, D Jiang IEEE Internet of Things Journal 8 (16), 12748-12757, 2020 | 38 | 2020 |
A noise-immune LSTM network for short-term traffic flow forecasting L Cai, M Lei, S Zhang, Y Yu, T Zhou, J Qin Chaos 30 (2), 1-11, 2020 | 38 | 2020 |
A hybrid ensemble learning framework for basketball outcomes prediction W Cai, D Yu, Z Wu, X Du, T Zhou Physica A: Statistical Mechanics and its Applications 528, 121461, 2019 | 33 | 2019 |
A hybrid intelligent model for acute hypotensive episode prediction with large-scale data D Jiang, G Tu, D Jin, K Wu, C Liu, L Zheng, T Zhou Information Sciences 546, 787-802, 2021 | 28 | 2021 |
Attention meets long short-term memory: A deep learning network for traffic flow forecasting W Fang, W Zhuo, J Yan, Y Song, D Jiang, T Zhou Physica A: Statistical Mechanics and its Applications 587, 126485, 2022 | 27 | 2022 |
Noise-identified Kalman filter for short-term traffic flow forecasting S Zhang, Y Song, D Jiang, T Zhou, J Qin 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN …, 2019 | 26 | 2019 |
Color correction based on cfa and enhancement based on retinex with dense pixels for underwater images C Li, S Tang, HK Kwan, J Yan, T Zhou IEEE Access 8, 155732-155741, 2020 | 25 | 2020 |
CNN in CT image segmentation: Beyond loss function for exploiting ground truth images Y Song, Z Yu, T Zhou, JYC Teoh, B Lei, KS Choi, J Qin 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020 …, 2020 | 23 | 2020 |
Low-light image enhancement via pair of complementary gamma functions by fusion C Li, S Tang, J Yan, T Zhou Ieee Access 8, 169887-169896, 2020 | 22 | 2020 |