| Voting based extreme learning machine J Cao, Z Lin, GB Huang, N Liu Information Sciences 185 (1), 66-77, 2012 | 402 | 2012 |
| Self-adaptive evolutionary extreme learning machine J Cao, Z Lin, GB Huang Neural processing letters 36, 285-305, 2012 | 335 | 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 | 319 | 2018 |
| 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 | 277 | 2020 |
| 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 | 229 | 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 | 193 | 2016 |
| Mixture correntropy for robust learning B Chen, X Wang, N Lu, S Wang, J Cao, J Qin Pattern Recognition 79, 318-327, 2018 | 152 | 2018 |
| 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 | 148 | 2019 |
| Extreme learning machines on high dimensional and large data applications: a survey J Cao, Z Lin Mathematical Problems in Engineering 2015 (1), 103796, 2015 | 120 | 2015 |
| Composite function wavelet neural networks with extreme learning machine J Cao, Z Lin, G Huang Neurocomputing 73 (7-9), 1405-1416, 2010 | 118 | 2010 |
| Acoustic vector sensor: reviews and future perspectives J Cao, J Liu, J Wang, X Lai IET Signal Processing 11 (1), 1-9, 2017 | 96 | 2017 |
| Protein sequence classification with improved extreme learning machine algorithms J Cao, L Xiong BioMed research international 2014 (1), 103054, 2014 | 96 | 2014 |
| Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction X Song, F Zhou, AF Frangi, J Cao, X Xiao, Y Lei, T Wang, B Lei Medical Image Analysis 69, 101947, 2021 | 95 | 2021 |
| Epileptic signal classification with deep EEG features by stacked CNNs J Cao, J Zhu, W Hu, A Kummert IEEE Transactions on Cognitive and Developmental Systems 12 (4), 709-722, 2019 | 90 | 2019 |
| 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 | 90 | 2015 |
| Landmark recognition with compact BoW histogram and ensemble ELM J Cao, T Chen, J Fan Multimedia Tools and Applications 75, 2839-2857, 2016 | 89 | 2016 |
| 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 14 (11), 15485-15495, 2023 | 85 | 2023 |
| Multilayer one-class extreme learning machine H Dai, J Cao, T Wang, M Deng, Z Yang Neural Networks 115, 11-22, 2019 | 83 | 2019 |
| 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 | 83 | 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 | 79 | 2018 |
