Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments O Brun, Y Yin, E Gelenbe, YM Kadioglu, J Augusto-Gonzalez, M Ramos Security in Computer and Information Sciences: First International ISCIS …, 2018 | 247 | 2018 |
Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization Y Zhang, L Jin, D Guo, Y Yin, Y Chou Journal of Computational and Applied Mathematics 273, 29-40, 2015 | 127 | 2015 |
Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification Y Zhang, Y Yin, D Guo, X Yu, L Xiao Pattern recognition 47 (10), 3414-3428, 2014 | 88 | 2014 |
Deep learning with random neural networks E Gelenbe, Y Yin Neural Networks (IJCNN), 2016 International Joint Conference on, 1633-1638, 2016 | 83 | 2016 |
Singularity-conquering ZG controllers of z2g1 type for tracking control of the IPC system Y Zhang, X Yu, Y Yin, C Peng, Z Fan International Journal of Control 87 (9), 1729-1746, 2014 | 55 | 2014 |
Deep learning with dense random neural networks E Gelenbe, Y Yin Man-Machine Interactions 5: 5th International Conference on Man-Machine …, 2018 | 53 | 2018 |
Singularity‐conquering tracking control of a class of chaotic systems using Zhang‐gradient dynamics Y Zhang, Z Xiao, D Guo, M Mao, Y Yin IET Control Theory & Applications 9 (6), 871-881, 2015 | 52 | 2015 |
Zhang dynamics and gradient dynamics with tracking-control application Y Zhang, Y Yin, H Wu, D Guo 2012 Fifth International Symposium on Computational Intelligence and Design …, 2012 | 43 | 2012 |
Iot attack detection with deep learning O Brun, Y Yin, J Augusto-Gonzalez, M Ramos, E Gelenbe ISCIS Security Workshop, 2018 | 32 | 2018 |
Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation Y Zhang, X Yu, D Guo, Y Yin, Z Zhang Neural Computing and Applications 25, 1761-1770, 2014 | 32 | 2014 |
Single-cell based random neural network for deep learning Y Yin, E Gelenbe 2017 International Joint Conference on Neural Networks (IJCNN), 86-93, 2017 | 30 | 2017 |
ZG control for ship course tracking with singularity considered and solved Y Yin, Q Xie, Y Wang, D Chen, Y Zhang 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure …, 2013 | 26 | 2013 |
Multi-layer neural networks for quality of service oriented server-state classification in cloud servers Y Yin, L Wang, E Gelenbe 2017 International Joint Conference on Neural Networks (IJCNN), 1623-1627, 2017 | 25 | 2017 |
Deep learning in multi-layer architectures of dense nuclei Y Yin, E Gelenbe arXiv preprint arXiv:1609.07160, 2016 | 25 | 2016 |
Singularity-conquering ZG controller for output tracking of a class of nonlinear systems Y Zhang, F Luo, Y Yin, J Liu, X Yu Proceedings of the 32nd Chinese control conference, 477-482, 2013 | 24 | 2013 |
Using GD to conquer the singularity problem of conventional controller for output tracking of nonlinear system of a class Y Zhang, X Yu, Y Yin, L Xiao, Z Fan Physics Letters A 377 (25-27), 1611-1614, 2013 | 21 | 2013 |
ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved Y Zhang, Y Wang, Y Yin, L Jin, D Chen 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1845 …, 2013 | 20 | 2013 |
Zhang-gradient controllers of Z0G0, Z1G0 and Z1G1 types for output tracking of time-varying linear systems with control-singularity conquered finally Y Zhang, J Liu, Y Yin, F Luo, J Deng Advances in Neural Networks–ISNN 2013: 10th International Symposium on …, 2013 | 20 | 2013 |
Machine learning to predict toxicity of compounds I Grenet, Y Yin, JP Comet, E Gelenbe Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 19 | 2018 |
ZD, ZG and IOL controllers and comparisons for nonlinear system output tracking with DBZ problem conquered in different relative‐degree cases J Li, M Mao, Y Zhang, D Chen, Y Yin Asian Journal of Control 19 (4), 1482-1495, 2017 | 18 | 2017 |