EHSO: Evolutionary Hybrid Sampling in overlapping scenarios for imbalanced learning

An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps

(2020) Xiucai Ye et al.   NEUROCOMPUTING

An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data

(2019) Ruchika Malhotra et al.   NEUROCOMPUTING

Radial-Based oversampling for noisy imbalanced data classification

(2019) Michał Koziarski et al.   NEUROCOMPUTING

Pre-processing approaches for imbalanced distributions in regression

(2019) Paula Branco et al.   NEUROCOMPUTING

SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets

(2019) Seba Susan et al.   APPLIED SOFT COMPUTING

Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection

(2019) Ying Pang et al.   INFORMATION SCIENCES

Cost-sensitive Fuzzy Multiple Kernel Learning for Imbalanced Problem

(2019) Zhe Wang et al.   NEUROCOMPUTING

Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning

(2019) Everlandio R.Q. Fernandes et al.   INFORMATION SCIENCES

An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets

(2019) György Kovács   APPLIED SOFT COMPUTING

Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization

(2019) Seyed Ehsan Roshan et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting

(2019) Jie Sun et al.   Information Fusion

Neighbourhood-based undersampling approach for handling imbalanced and overlapped data

(2019) Pattaramon Vuttipittayamongkol et al.   INFORMATION SCIENCES

Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data

(2019) Everlandio R. Q. Fernandes et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An overlap-sensitive margin classifier for imbalanced and overlapping data

(2018) Han Kyu Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

A hybrid evolutionary preprocessing method for imbalanced datasets

(2018) Ginny Y. Wong et al.   INFORMATION SCIENCES

A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data

(2018) Guillem Collell et al.   NEUROCOMPUTING

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Medical decision support system for extremely imbalanced datasets

(2017) Swati Shilaskar et al.   INFORMATION SCIENCES

Clustering-based undersampling in class-imbalanced data

(2017) Wei-Chao Lin et al.   INFORMATION SCIENCES

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning

(2017) Pin Lim et al.   IEEE Transactions on Cybernetics

DBMUTE: density-based majority under-sampling technique

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

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

An instance level analysis of data complexity

(2013) Michael R. Smith et al.   MACHINE LEARNING

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

(2013) Mikel Galar et al.   PATTERN RECOGNITION

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

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

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

(2009) Salvador García et al.   EVOLUTIONARY COMPUTATION

Learning from Imbalanced Data

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