| A study on effectiveness of extreme learning machine Y Wang, F Cao, Y Yuan Neurocomputing 74 (16), 2483-2490, 2011 | 345 | 2011 |
| The approximation operators with sigmoidal functions Z Chen, F Cao Computers & Mathematics with Applications 58 (4), 758-765, 2009 | 308 | 2009 |
| Automatic detection and classification of leukocytes using convolutional neural networks J Zhao, M Zhang, Z Zhou, J Chu, F Cao Medical & biological engineering & computing 55, 1287-1301, 2017 | 245 | 2017 |
| Image classification based on effective extreme learning machine F Cao, B Liu, DS Park Neurocomputing 102, 90-97, 2013 | 101 | 2013 |
| The estimate for approximation error of neural networks: a constructive approach F Cao, T Xie, Z Xu Neurocomputing 71 (4-6), 626-630, 2008 | 101 | 2008 |
| Are graph convolutional networks with random weights feasible? C Huang, M Li, F Cao, H Fujita, Z Li, X Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2751-2768, 2022 | 100 | 2022 |
| The essential order of approximation for neural networks Z Xu, F Cao Science in China Series F: Information Sciences 47, 97-112, 2004 | 93 | 2004 |
| Simultaneous Lp-approximation order for neural networks ZB Xu, FL Cao Neural Networks 18 (7), 914-923, 2005 | 90 | 2005 |
| A probabilistic learning algorithm for robust modeling using neural networks with random weights F Cao, H Ye, D Wang Information Sciences 313, 62-78, 2015 | 72 | 2015 |
| Multi-view graph convolutional networks with attention mechanism K Yao, J Liang, J Liang, M Li, F Cao Artificial Intelligence 307, 103708, 2022 | 66 | 2022 |
| Recovering low-rank and sparse matrix based on the truncated nuclear norm F Cao, J Chen, H Ye, J Zhao, Z Zhou Neural Networks 85, 10-20, 2017 | 66 | 2017 |
| Segmentation of white blood cells image using adaptive location and iteration Y Liu, F Cao, J Zhao, J Chu IEEE journal of biomedical and health informatics 21 (6), 1644-1655, 2016 | 66 | 2016 |
| The construction and approximation of a class of neural networks operators with ramp functions Z Chen, F Cao Journal of Computational Analysis and Applications 14 (1), 101-112, 2012 | 66 | 2012 |
| Multiscale fused network with additive channel–spatial attention for image segmentation C Gao, H Ye, F Cao, C Wen, Q Zhang, F Zhang Knowledge-Based Systems 214, 106754, 2021 | 65 | 2021 |
| Image interpolation via low-rank matrix completion and recovery F Cao, M Cai, Y Tan IEEE Transactions on Circuits and Systems for Video Technology 25 (8), 1261-1270, 2014 | 65 | 2014 |
| A novel local–global graph convolutional method for point cloud semantic segmentation Z Du, H Ye, F Cao IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4798-4812, 2022 | 60 | 2022 |
| Image Super-Resolution via Adaptive Regularization and Sparse Representation F Cao, M Cai, Y Tan, J Zhao IEEE transactions on neural networks and learning systems 27 (7), 1550-1561, 2016 | 57 | 2016 |
| Optimization approximation solution for regression problem based on extreme learning machine Y Yuan, Y Wang, F Cao Neurocomputing 74 (16), 2475-2482, 2011 | 57 | 2011 |
| Extended feed forward neural networks with random weights for face recognition J Lu, J Zhao, F Cao Neurocomputing 136, 96-102, 2014 | 55 | 2014 |
| Deep hybrid dilated residual networks for hyperspectral image classification F Cao, W Guo Neurocomputing 384, 170-181, 2020 | 53 | 2020 |
Ming LiProfessor, Zhejiang Normal Universityכתובת אימייל מאומתת בדומיין zjnu.edu.cn