Results 271 to 280 of about 106,507 (280)

A study on classifying imbalanced datasets

2014 First International Conference on Networks & Soft Computing (ICNSC2014), 2014
T. Jaya Lakshmi, Ch. Siva Rama Prasad
openaire   +1 more source

Class-imbalanced classifiers for high-dimensional data

Briefings in Bioinformatics, 2013
Wei-Jiun Lin
exaly  

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

Knowledge-Based Systems, 2013
Alberto Fernández, Victoria Lopez, Mikel Galar   +2 more
exaly  

The Enhancement of Classification of Imbalanced Dataset for Edge Computing

2022
Chih-Ming Huang, Ming-Ya Hsu, Chuan-Sheng Hung, Chun-Hung Richard Lin, Shi-Huang Chen   +4 more
openaire   +1 more source

Cluster-based under-sampling approaches for imbalanced data distributions

Expert Systems With Applications, 2009
Show-Jane Yen, Yue-Shi Lee
exaly  

Imbalanced Deep Learning by Minority Class Incremental Rectification

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Qi Dong, Shaogang Gong, Xiatian Zhu
exaly  

A survey on imbalanced learning: latest research, applications and future directions

Artificial Intelligence Review
C L Philip Chen, Kaixiang Yang, Zhiwen Yu   +2 more
exaly  

Adaptive multi-objective swarm fusion for imbalanced data classification

Information Fusion, 2018
Jinyan Li, Simon Fong, Raymond K Wong
exaly  

Stochastic Covariance Regularization for Imbalanced Datasets

Ahmet Erdem, Faik Boray Tek
openaire   +1 more source

Overlapping Classes in Imbalanced Datasets

Big data has become easily available, but there is a need to improve the usefulness of these data, especially when we have an imbalanced dataset and overlapping data points in two or more classes. Machine-learning algorithms have improved in recent years, and many algorithms have been introduced that tackle the issues in data that su er from imbalanced
openaire   +1 more source