463 citations · 467 across the 6 of their papers we have counts for
6 papers
A metaheuristic multi-objective interaction-aware feature selection method
Motahare Namakin, Modjtaba Rouhani, Mostafa Sabzekar
Multi-objective feature selection is one of the most significant issues in the field of pattern recognition. It is challenging because it maximizes the classification performance a…
Underwater Image Super-Resolution using Generative Adversarial Network-based Model
Alireza Aghelan, Modjtaba Rouhani
Single image super-resolution (SISR) models are able to enhance the resolution and visual quality of underwater images and contribute to a better understanding of underwater enviro…
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Alireza Aghelan, Modjtaba Rouhani
In the field of medical image analysis, there is a substantial need for high-resolution (HR) images to improve diagnostic accuracy. However, it is a challenging task to obtain HR m…
An Evolutionary Correlation-aware Feature Selection Method for Classification Problems
Motahare Namakin, Modjtaba Rouhani, Mostafa Sabzekar
The population-based optimization algorithms have provided promising results in feature selection problems. However, the main challenges are high time complexity. Moreover, the int…
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi +14
A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. Artificial…
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II
Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Ahad Harati +1
Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks. Although access to unauthorized persons can be…