| A study on effectiveness of extreme learning machine Y Wang, F Cao, Y Yuan Neurocomputing 74 (16), 2483-2490, 2011 | 326 | 2011 |
| The approximation operators with sigmoidal functions Z Chen, F Cao Computers & Mathematics with Applications 58 (4), 758-765, 2009 | 270 | 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 | 213 | 2017 |
| Image classification based on effective extreme learning machine F Cao, B Liu, DS Park Neurocomputing 102, 90-97, 2013 | 96 | 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 | 96 | 2008 |
| The essential order of approximation for neural networks Z Xu, F Cao Science in China Series F: Information Sciences 47, 97-112, 2004 | 90 | 2004 |
| Simultaneous Lp-approximation order for neural networks ZB Xu, FL Cao Neural Networks 18 (7), 914-923, 2005 | 85 | 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 |
| 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 | 62 | 2017 |
| 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 | 62 | 2014 |
| 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 | 60 | 2012 |
| 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 | 55 | 2016 |
| 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 | 54 | 2016 |
| Optimization approximation solution for regression problem based on extreme learning machine Y Yuan, Y Wang, F Cao Neurocomputing 74 (16), 2475-2482, 2011 | 54 | 2011 |
| Extended feed forward neural networks with random weights for face recognition J Lu, J Zhao, F Cao Neurocomputing 136, 96-102, 2014 | 50 | 2014 |
| An iterative learning algorithm for feedforward neural networks with random weights F Cao, D Wang, H Zhu, Y Wang Information Sciences 328, 546-557, 2016 | 46 | 2016 |
| Sparse algorithms of random weight networks and applications F Cao, Y Tan, M Cai Expert Systems with Applications 41 (5), 2457-2462, 2014 | 45 | 2014 |
| 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 | 44 | 2021 |
| Approximation by network operators with logistic activation functions Z Chen, F Cao, J Hu Applied Mathematics and Computation 256, 565-571, 2015 | 43 | 2015 |
| Lightweight multi-scale residual networks with attention for image super-resolution H Liu, F Cao, C Wen, Q Zhang Knowledge-Based Systems 203, 106103, 2020 | 42 | 2020 |
Ming LiProfessor, Zhejiang Normal UniversityVerified email at zjnu.edu.cn
