| A gravitational search algorithm for multimodal optimization S Yazdani, H Nezamabadi-Pour, S Kamyab Swarm and Evolutionary Computation 14, 1-14, 2014 | 181 | 2014 |
| Feature selection using multimodal optimization techniques S Kamyab, M Eftekhari Neurocomputing 171, 586-597, 2016 | 72 | 2016 |
| Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysis M Moosavi-Nasab, S Khoshnoudi-Nia, Z Azimifar, S Kamyab Scientific reports 11 (1), 5094, 2021 | 69 | 2021 |
| A niche GSA method with nearest neighbor scheme for multimodal optimization P Haghbayan, H Nezamabadi-Pour, S Kamyab Swarm and evolutionary computation 35, 78-92, 2017 | 46 | 2017 |
| Using a self-adaptive neighborhood scheme with crowding replacement memory in genetic algorithm for multimodal optimization S Kamyab, M Eftekhari Swarm and Evolutionary Computation 12, 1-17, 2013 | 25 | 2013 |
| Deep learning methods for inverse problems S Kamyab, Z Azimifar, R Sabzi, P Fieguth PeerJ Computer Science 8, e951, 2022 | 17 | 2022 |
| Designing of rule base for a TSK-fuzzy system using bacterial foraging optimization algorithm (BFOA) S Kamyab, A Bahrololoum Procedia-Social and Behavioral Sciences 32, 176-183, 2012 | 16 | 2012 |
| Toward sub-surface pore prediction capabilities for laser powder bed fusion using data science DS Ertay, S Kamyab, M Vlasea, Z Azimifar, T Ma, AD Rogalsky, P Fieguth Journal of Manufacturing Science and Engineering 143 (7), 071016, 2021 | 13 | 2021 |
| Survey of deep learning methods for inverse problems S Kamyab, Z Azimifar, R Sabzi, P Fieguth arXiv preprint arXiv:2111.04731, 2021 | 6 | 2021 |
| Deep Structure for end-to-end inverse rendering S Kamyab, A Ghodsi, SZ Azimifar arXiv preprint arXiv:1708.08998, 2017 | 4 | 2017 |
| End-to-end 3D shape inverse rendering of different classes of objects from a single input image S Kamyab, SZ Azimifar arXiv preprint arXiv:1711.05858, 2017 | 3 | 2017 |
| A novel rough set based dissimilarity measure and its application in multimodal optimization S Kamyab, M Eftekhari, JR Anaraki The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012 | 3 | 2012 |
| Human perception-based image enhancement using a deep generative model A Nazemi, S Kamyab, Z Azimifar, P Fieguth Journal of Computational Vision and Imaging Systems 4 (1), 3-3, 2018 | 2 | 2018 |
| A deep learning embedded system for 3d human face shape reconstruction from a single image S Kamyab, H Taghadosi, Z Azimifar 2022 27th International Computer Conference, Computer Society of Iran (CSICC …, 2022 | 1 | 2022 |
| Deep-MDS framework for recovering the 3D shape of 2D landmarks from a single image S Kamyab, Z Azimifar Journal of Visual Communication and Image Representation 98, 104032, 2024 | | 2024 |
| Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysis MN Marzieh, KN Sara, A Zohreh, K Shima Scientific Reports (Nature Publisher Group) 11 (1), 2021 | | 2021 |
| A New Approach for Optimizing Highly Nonlinear Problems Based on the Observer Effect Concept M Moattari, E Roshandel, S Kamyab, Z Azimifar arXiv preprint arXiv:1906.05516, 2019 | | 2019 |
| Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering S Kamyab, R Sabzi, Z Azimifar 2019 4th International Conference on Pattern Recognition and Image Analysis …, 2019 | | 2019 |
| Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications. M Moattari, E Roshandel, S Kamyab, Z Azimifar CoRR, 2019 | | 2019 |
| Application of R2PSO Algorithm in Crack Detection of Functionally Graded Beams M Eftekhari, S Kamyab, M Eftekhari, M Hosseini International Journal of Acoustics and Vibration 22 (4), 431-438, 2017 | | 2017 |
Zohreh AzimifarProfessor of Computer Science and AI, Shiraz University (University of Waterloo)Email confirmado em cse.shirazu.ac.ir