| The modified differential evolution and the RBF (MDE-RBF) neural network for time series prediction H Dhahri, AM Alimi Neural Networks, 2006. IJCNN'06. International Joint Conference on, 2938-2943, 2006 | 51 | 2006 |
| A hybrid learning algorithm for evolving Flexible Beta Basis Function Neural Tree Model S Bouaziz, H Dhahri, AM Alimi, A Abraham Neurocomputing 117, 107-117, 2013 | 36 | 2013 |
| Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network H Dhahri, AM Alimi, A Abraham neurocomputing 97, 131-140, 2012 | 20 | 2012 |
| Evolving flexible beta operator neural trees (FBONT) for time series forecasting S Bouaziz, H Dhahri, AM Alimi Neural Information Processing, 17-24, 2012 | 15 | 2012 |
| Designing beta basis function neural network for optimization using artificial bee colony (abc) H Dhahri, AM Alimi, A Abraham Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-7, 2012 | 14 | 2012 |
| Opposition-based particle swarm optimization for the design of beta basis function neural network H Dhahri, AM Alimi Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010 | 12 | 2010 |
| Designing beta basis function neural network for optimization using particle swarm optimization H Dhahri, AM Alimi, F Karray Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational …, 2008 | 11 | 2008 |
| Automatic selection for the beta basis function neural networks H Dhahri, A Alimi Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 461-474, 2008 | 10 | 2008 |
| Hierarchical learning algorithm for the beta basis function neural network H Dhahri, MA Alimi arXiv preprint arXiv:1210.8124, 2005 | 10 | 2005 |
| Opposition-based differential evolution for beta basis function neural network H Dhahri, AM Alimi Evolutionary Computation (CEC), 2010 IEEE Congress on, 1-8, 2010 | 9 | 2010 |
| The modified particle swarm optimization for the design of the Beta Basis Function neural networks H Dhahri, AM Alimi, F Karray Evolutionary Computation, 2008. CEC 2008.(IEEE World Congress on …, 2008 | 9 | 2008 |
| Evolving flexible beta basis function neural tree using extended genetic programming & Hybrid Artificial Bee Colony S Bouaziz, H Dhahri, AM Alimi, A Abraham Applied Soft Computing 47, 653-668, 2016 | 8 | 2016 |
| Designing of beta basis function neural network for optimization using cuckoo search (cs) H Dhahri, AM Alimi, A Abraham Hybrid Intelligent Systems (HIS), 2014 14th International Conference on, 110-116, 2014 | 3 | 2014 |
| Hierarchical particle swarm optimization for the design of beta basis function neural network H Dhahri, AM Alimi, A Abraham Intelligent Informatics, 193-205, 2013 | 3 | 2013 |
| Geometric concept of isokinetic constraint for a system of particles M Swaczyna, P Volný Miskolc Mathematical Notes 14 (2), 697-704, 2013 | 1 | 2013 |
| A new hybrid routing protocol for Wireless Sensor Networks RB Slaheddine Chelbi, Habib Dhahri, Majed Abdouli, Claude Duvallet International Journal of Ad Hoc and Ubiquitous Computing, 2018 | | 2018 |
| Encoding Motion Cues for Pedestrian Path Prediction in Dense Crowd Scenarios EOHD Y. Li, M. L. Mekhalfi, M. M. Al Rahhal IEEE Access 5, 24368-24375, 2017 | | 2017 |
| Grey Wolf Optimizer for Training Elman Neural Network B Rabhi, H Dhahri, AM Alimi, FA Alturki International Conference on Hybrid Intelligent Systems, 380-390, 2016 | | 2016 |
| Grey Wolf Optimizer For Training Elman Neural Network: AMAFA Besma Rabhi, Habib Dhahri Hybrid Intelligent Systems (HIS 2016), 2016 | | 2016 |
| Algorithmes d'apprentissage incrémentaux du système neuronal bêta H Dhahri Algorithmes d'apprentissage incrémentaux du système neuronal bêta, 2014 | | 2014 |
