Sign in to unlock AI Chat and more features
A survey on imbalanced learning: latest research, applications and future directions
Citations:
105
References:
161
Abstract
Abstract Imbalanced learning constitutes one of the most formidable challenges within data mining and machine learning. Despite continuous research advancement over the past decades, learning from data with an imbalanced class distribution remains a compelling research area. Imbalanced class distributions commonly constrain the practical utility of machine learning and even deep learning models in...
Keywords
2024
Article
Open Access
Publisher
2-Y Citation Average
18.513
Language
Country
A survey on imbalanced learning: latest research, applications and future directions
Citations:
105
References:
161
Abstract
Abstract Imbalanced learning constitutes one of the most formidable challenges within data mining and machine learning. Despite continuous research advancement over the past decades, learning from data with an imbalanced class distribution remains a compelling research area. Imbalanced class distributions commonly constrain the practical utility of machine learning and even deep learning models in...
Keywords
2024
Article
Open Access
Publisher
2-Y Citation Average
18.513
Language
Country