3 papers
cs.LG2025
Multi-Task Learning Based on Support Vector Machines and Twin Support Vector Machines: A Comprehensive Survey
Fatemeh Bazikar, Hossein Moosaei, Atefeh Hemmati +1
Multi-task learning (MTL) enables simultaneous training across related tasks, leveraging shared information to improve generalization, efficiency, and robustness, especially in dat…
cs.LG2025
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data
Hossein Moosaei, Milan HladÃk, Ahmad Mousavi +2
Binary classification tasks with imbalanced classes pose significant challenges in machine learning. Traditional classifiers often struggle to accurately capture the characteristic…
cs.CV2025
No-Reference Image Contrast Assessment with Customized EfficientNet-B0
Javad Hassannataj Joloudari, Bita Mesbahzadeh, Omid Zare +3
Image contrast was a fundamental factor in visual perception and played a vital role in overall image quality. However, most no reference image quality assessment NR IQA models str…