Improving SVM Classification on Imbalanced Datasets by Introducing a New Bias

GSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems

(2014) L. Gonzalez-Abril et al.   APPLIED SOFT COMPUTING

Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients

(2013) Maciej Zięba et al.   APPLIED SOFT COMPUTING

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

(2010) Rukshan Batuwita et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

On strategies for imbalanced text classification using SVM: A comparative study

(2009) Aixin Sun et al.   DECISION SUPPORT SYSTEMS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Boosting support vector machines for imbalanced data sets

(2009) Benjamin X. Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A Note on the Bias in SVMs for Multiclassification

(2008) L. Gonzalez-Abril et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

SVMs Modeling for Highly Imbalanced Classification

(2008) Yuchun Tang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS