Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines

Erratum to “Entropy-based fuzzy support vector machine for imbalanced datasets” [Knowl.-Based Syst. 115 (2017) 87–99]

(2020) Salim Rezvani et al.   KNOWLEDGE-BASED SYSTEMS

Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification

(2019) Xinmin Tao et al.   INFORMATION SCIENCES

Intuitionistic Fuzzy Twin Support Vector Machines

(2019) Salim Rezvani et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Learning imbalanced datasets based on SMOTE and Gaussian distribution

(2019) Tingting Pan et al.   INFORMATION SCIENCES

Class-specific extreme learning machine for handling binary class imbalance problem

(2018) Bhagat Singh Raghuwanshi et al.   NEURAL NETWORKS

Compounding General Purpose Membership Functions for Fuzzy Support Vector Machine Under Noisy Environment

(2017) Rahul Kumar Sevakula et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Entropy-based fuzzy support vector machine for imbalanced datasets

(2017) Qi Fan et al.   KNOWLEDGE-BASED SYSTEMS

A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification

(2017) Qi Kang et al.   IEEE Transactions on Neural Networks and Learning Systems

Least squares recursive projection twin support vector machine for multi-class classification

(2015) Zhi-Min Yang et al.   International Journal of Machine Learning and Cybernetics

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

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

Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures

(2011) Shuo Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

A coordinate descent margin based-twin support vector machine for classification

(2011) Yuan-Hai Shao et al.   NEURAL NETWORKS

Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets

(2010) Pablo Bermejo et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs

(2010) Wael Khreich et al.   PATTERN RECOGNITION

Learning from Imbalanced Data

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

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

Association Rule Mining-Based Dissolved Gas Analysis for Fault Diagnosis of Power Transformers

(2009) Z. Yang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Exploratory Undersampling for Class-Imbalance Learning

(2008) Xu-Ying Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS