Hybridization of ring theory-based evolutionary algorithm and particle swarm optimization to solve class imbalance problem

Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling

(2020) Yan Zhu et al.   ANALYTICAL BIOCHEMISTRY

Adaptive Sampling Using Self-paced Learning for Imbalanced Cancer Data Pre-diagnosis

(2020) Qingyong Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

An image database of handwritten Bangla words with automatic benchmarking facilities for character segmentation algorithms

(2020) Samir Malakar et al.   NEURAL COMPUTING & APPLICATIONS

Metric Learning from Imbalanced Data with Generalization Guarantees

(2020) Leo Gautheron et al.   PATTERN RECOGNITION LETTERS

Multiple-strategy learning particle swarm optimization for large-scale optimization problems

(2020) Hao Wang et al.   Complex & Intelligent Systems

Multi-objective particle swarm optimization with random immigrants

(2020) Ali Nadi Ünal et al.   Complex & Intelligent Systems

Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP

(2019) Yichao He et al.   APPLIED SOFT COMPUTING

Clustering-based undersampling with random over sampling examples and support vector machine for imbalanced classification of breast cancer diagnosis

(2019) Jue Zhang et al.   Computer Assisted Surgery

Evolutionary extreme learning machine with sparse cost matrix for imbalanced learning

(2019) Hui Li et al.   ISA TRANSACTIONS

CBR-PSO: cost-based rough particle swarm optimization approach for high-dimensional imbalanced problems

(2018) Emel Kızılkaya Aydogan et al.   NEURAL COMPUTING & APPLICATIONS

The class imbalance problem detecting adverse drug reactions in electronic health records

(2018) Sara Santiso et al.   Health Informatics Journal

DBMUTE: density-based majority under-sampling technique

(2016) Chumphol Bunkhumpornpat et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Boosted Near-miss Under-sampling on SVM ensembles for concept detection in large-scale imbalanced datasets

(2016) Lei Bao et al.   NEUROCOMPUTING

Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

(2016) Adnan Amin et al.   IEEE Access

Particle swarm optimization (PSO). A tutorial

(2015) Federico Marini et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

Area under Precision-Recall Curves for Weighted and Unweighted Data

(2014) Jens Keilwagen et al.   PLoS One

SMOTE for high-dimensional class-imbalanced data

(2013) Rok Blagus et al.   BMC BIOINFORMATICS

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

(2013) Victoria López et al.   INFORMATION SCIENCES

ACOSampling: An ant colony optimization-based undersampling method for classifying imbalanced DNA microarray data

(2012) Hualong Yu et al.   NEUROCOMPUTING

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 combined SMOTE and PSO based RBF classifier for two-class imbalanced problems

(2011) Ming Gao et al.   NEUROCOMPUTING

An approach for classification of highly imbalanced data using weighting and undersampling

(2010) Ashish Anand et al.   AMINO ACIDS

A particle swarm based hybrid system for imbalanced medical data sampling

(2009) Pengyi Yang et al.   BMC GENOMICS

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

AdaBoost-Based Algorithm for Network Intrusion Detection

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