| Bounded activation functions for enhanced training stability of deep neural networks on visual pattern recognition problems SS Liew, M Khalil-Hani, R Bakhteri Neurocomputing 216, 718-734, 2016 | 190 | 2016 |
| Convolutional neural network for face recognition with pose and illumination variation AR Syafeeza, M Khalil-Hani, SS Liew, R Bakhteri International Journal of Engineering & Technology 6 (1), 0975-4024, 2014 | 114 | 2014 |
| Gender classification: a convolutional neural network approach SS Liew, MK Hani, SA Radzi, R Bakhteri Turkish Journal of Electrical Engineering and Computer Sciences 24 (3), 1248 …, 2016 | 102 | 2016 |
| A convolutional neural network approach for face verification M Khalil-Hani, LS Sung 2014 International Conference on High Performance Computing & Simulation …, 2014 | 56 | 2014 |
| An optimized second order stochastic learning algorithm for neural network training SS Liew, M Khalil-Hani, R Bakhteri Neurocomputing 186, 74-89, 2016 | 49 | 2016 |
| Convolutional neural networks with fused layers applied to face recognition AR Syafeeza, M Khalil-Hani, SS Liew, R Bakhteri International Journal of Computational Intelligence and Applications 14 (03 …, 2015 | 23 | 2015 |
| A-sdlm: an asynchronous stochastic learning algorithm for fast distributed learning M Khalil-Hani, SS Liew 13th Australasian Symposium on Parallel and Distributed Computing (AusPDC …, 2015 | 1 | 2015 |
| Distributed B-SDLM: accelerating the training convergence of deep neural networks through parallelism SS Liew, M Khalil-Hani, R Bakhteri Pacific Rim International Conference on Artificial Intelligence, 243-250, 2016 | | 2016 |
| An Efficient and Effective Convolutional Neural Network for Visual Pattern Recognition LS Sung | | 2016 |
MOHAMED KHALIL-HANIProfessor of Electronics and Computer Engineering在 fke.utm.my 的电子邮件经过验证
MOHAMED KHALIL-HANIProfessor of Electronics and Computer Engineering在 fke.utm.my 的电子邮件经过验证
Syafeeza Ahmad RadziAssoc. Prof at Universiti Teknikal Malaysia Melaka (UTeM)在 utem.edu.my 的电子邮件经过验证