A study on effectiveness of extreme learning machine Y Wang, F Cao, Y Yuan
Neurocomputing 74 (16), 2483-2490, 2011
339 2011 The approximation operators with sigmoidal functions Z Chen, F Cao
Computers & Mathematics with Applications 58 (4), 758-765, 2009
307 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
241 2017 The estimate for approximation error of neural networks: a constructive approach F Cao, T Xie, Z Xu
Neurocomputing 71 (4-6), 626-630, 2008
102 2008 Image classification based on effective extreme learning machine F Cao, B Liu, DS Park
Neurocomputing 102, 90-97, 2013
100 2013 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
97 2022 The essential order of approximation for neural networks Z Xu, F Cao
Science in China Series F: Information Sciences 47, 97-112, 2004
92 2004 Simultaneous Lp-approximation order for neural networks ZB Xu, FL Cao
Neural Networks 18 (7), 914-923, 2005
88 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
73 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
67 2017 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
67 2012 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 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
64 2016 Multi-view graph convolutional networks with attention mechanism K Yao, J Liang, J Liang, M Li, F Cao
Artificial Intelligence 307, 103708, 2022
63 2022 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
62 2021 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 Optimization approximation solution for regression problem based on extreme learning machine Y Yuan, Y Wang, F Cao
Neurocomputing 74 (16), 2475-2482, 2011
58 2011 Image Super-Resolution via Adaptive F Cao, M Cai, Y Tan, J Zhao
IEEE transactions on neural networks and learning systems 27 (7), 1550-1561, 2016
57 2016 Deep hybrid dilated residual networks for hyperspectral image classification F Cao, W Guo
Neurocomputing 384, 170-181, 2020
55 2020 Extended feed forward neural networks with random weights for face recognition J Lu, J Zhao, F Cao
Neurocomputing 136, 96-102, 2014
53 2014 
Ming LiProfessor, Zhejiang Normal UniversityEmail yang diverifikasi di zjnu.edu.cn