Cao Jiuwen
Cao Jiuwen
Professor of Institute of Information and Control, Hangzhou Dianzi University, China
Verified email at - Homepage
Cited by
Cited by
Voting based extreme learning machine
J Cao, Z Lin, GB Huang, N Liu
Information Sciences 185 (1), 66-77, 2012
Self-adaptive evolutionary extreme learning machine
J Cao, Z Lin, GB Huang
Neural processing letters 36, 285-305, 2012
Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation
LD Nguyen, D Lin, Z Lin, J Cao
2018 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2018
Extreme learning machine and adaptive sparse representation for image classification
J Cao, K Zhang, M Luo, C Yin, X Lai
Neural networks 81, 91-102, 2016
Kernel-based multilayer extreme learning machines for representation learning
CM Wong, CM Vong, PK Wong, J Cao
IEEE transactions on neural networks and learning systems 29 (3), 757-762, 2016
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
M Deng, T Meng, J Cao, S Wang, J Zhang, H Fan
Neural Networks 130, 22-32, 2020
Extreme learning machine model for water network management
AMA Sattar, ÖF Ertuğrul, B Gharabaghi, EA McBean, J Cao
Neural Computing and Applications 31, 157-169, 2019
Mixture correntropy for robust learning
B Chen, X Wang, N Lu, S Wang, J Cao, J Qin
Pattern Recognition 79, 318-327, 2018
Composite function wavelet neural networks with extreme learning machine
J Cao, Z Lin, G Huang
Neurocomputing 73 (7-9), 1405-1416, 2010
Extreme learning machines on high dimensional and large data applications: a survey
J Cao, Z Lin
Mathematical Problems in Engineering 2015, 2015
Protein sequence classification with improved extreme learning machine algorithms
J Cao, L Xiong
BioMed research international 2014, 2014
Landmark recognition with compact BoW histogram and ensemble ELM
J Cao, T Chen, J Fan
Multimedia Tools and Applications 75, 2839-2857, 2016
Landmark recognition with sparse representation classification and extreme learning machine
J Cao, Y Zhao, X Lai, MEH Ong, C Yin, ZX Koh, N Liu
Journal of the Franklin Institute 352 (10), 4528-4545, 2015
Excavation equipment recognition based on novel acoustic statistical features
J Cao, W Wang, J Wang, R Wang
IEEE Transactions on Cybernetics 47 (12), 4392-4404, 2016
Kernel based online learning for imbalance multiclass classification
S Ding, B Mirza, Z Lin, J Cao, X Lai, TV Nguyen, J Sepulveda
Neurocomputing 277, 139-148, 2018
Bayesian signal detection with compressed measurements
J Cao, Z Lin
Information Sciences 289, 241-253, 2014
Acoustic vector sensor: reviews and future perspectives
J Cao, J Liu, J Wang, X Lai
IET Signal Processing 11 (1), 1-9, 2017
Mean amplitude spectrum based epileptic state classification for seizure prediction using convolutional neural networks
W Hu, J Cao, X Lai, J Liu
Journal of Ambient Intelligence and Humanized Computing, 1-11, 2019
Multilayer one-class extreme learning machine
H Dai, J Cao, T Wang, M Deng, Z Yang
Neural Networks 115, 11-22, 2019
Ensemble extreme learning machine and sparse representation classification
J Cao, J Hao, X Lai, CM Vong, M Luo
Journal of the Franklin Institute 353 (17), 4526-4541, 2016
The system can't perform the operation now. Try again later.
Articles 1–20