FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

Discriminative feature generation for classification of imbalanced data

(2021) Sungho Suh et al.   PATTERN RECOGNITION

The Distance Induced OWA Operator with Application to Multi-criteria Group Decision Making

(2020) Chengju Gong et al.   International Journal of Fuzzy Systems

LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM

(2020) X.W. Liang et al.   KNOWLEDGE-BASED SYSTEMS

Fast hybrid dimensionality reduction method for classification based on feature selection and grouped feature extraction

(2020) Mengmeng Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

A reduced universum twin support vector machine for class imbalance learning

(2020) B. Richhariya et al.   PATTERN RECOGNITION

Appropriateness of performance indices for imbalanced data classification: An analysis

(2020) Sankha Subhra Mullick et al.   PATTERN RECOGNITION

Feature selection using bare-bones particle swarm optimization with mutual information

(2020) Xian-fang Song et al.   PATTERN RECOGNITION

Imbalance Problems in Object Detection: A Review

(2020) Kemal Oksuz et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Radial-Based oversampling for noisy imbalanced data classification

(2019) Michał Koziarski et al.   NEUROCOMPUTING

A class imbalance-aware Relief algorithm for the classification of tumors using microarray gene expression data

(2019) Yuanyu He et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Feature selection for imbalanced data based on neighborhood rough sets

(2019) Hongmei Chen et al.   INFORMATION SCIENCES

The impact of class imbalance in classification performance metrics based on the binary confusion matrix

(2019) Amalia Luque et al.   PATTERN RECOGNITION

An effective distance based feature selection approach for imbalanced data

(2019) Shaukat Ali Shahee et al.   APPLIED INTELLIGENCE

Quantile‐induced vector‐based heavy OWA operator and the application in dynamic decision making

(2019) Weiwei Li et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Data imbalance in classification: Experimental evaluation

(2019) Fadi Thabtah et al.   INFORMATION SCIENCES

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data

(2019) Jesus Maillo et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators

(2019) Sebastian Maldonado et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification

(2018) Sebastián Maldonado et al.   APPLIED SOFT COMPUTING

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

(2018) Alberto Fernandez et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

A Genetic Programming approach for feature selection in highly dimensional skewed data

(2018) Felipe Viegas et al.   NEUROCOMPUTING

Handling data irregularities in classification: Foundations, trends, and future challenges

(2018) Swagatam Das et al.   PATTERN RECOGNITION

Research on classification method of high-dimensional class-imbalanced datasets based on SVM

(2018) Chunkai Zhang et al.   International Journal of Machine Learning and Cybernetics

Imbalance: Oversampling algorithms for imbalanced classification in R

(2018) Ignacio Cordón et al.   KNOWLEDGE-BASED SYSTEMS

An alternative SMOTE oversampling strategy for high-dimensional datasets

(2018) Sebastián Maldonado et al.   APPLIED SOFT COMPUTING

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets

(2017) Alberto Fernández et al.   International Journal of Neural Systems

Online feature selection for high-dimensional class-imbalanced data

(2017) Peng Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets

(2016) Iman Nekooeimehr et al.   EXPERT SYSTEMS WITH APPLICATIONS

Weighted Distance Functions Improve Analysis of High-Dimensional Data: Application to Molecular Dynamics Simulations

(2015) Nicolas Blöchliger et al.   Journal of Chemical Theory and Computation

Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines

(2014) Sebastián Maldonado et al.   INFORMATION SCIENCES

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

(2013) Victoria López et al.   INFORMATION SCIENCES

A review of feature selection methods based on mutual information

(2013) Jorge R. Vergara et al.   NEURAL COMPUTING & APPLICATIONS

Similarity classifier with ordered weighted averaging operators

(2012) Pasi Luukka et al.   EXPERT SYSTEMS WITH APPLICATIONS

MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

(2012) Sukarna Barua et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

(2011) Chumphol Bunkhumpornpat et al.   APPLIED INTELLIGENCE