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

Fault diagnosis based on imbalance modified kernel Fisher discriminant analysis

(2010) Zhi-Bo Zhu et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

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

An Efficient Tree Classifier Ensemble-Based Approach for Pedestrian Detection

(2010) Yanwu Xu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Distributed Text Classification With an Ensemble Kernel-Based Learning Approach

(2010) Catarina Silva et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods

(2010) Mahbod Tavallaee et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Time Series Clustering Via RPCL Network Ensemble With Different Representations

(2010) Yun Yang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

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

(2010) Wael Khreich et al.   PATTERN RECOGNITION

Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems

(2009) Salvador García et al.   APPLIED SOFT COMPUTING

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

(2009) Lior Rokach   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Mine Classification With Imbalanced Data

(2009) D.P. Williams et al.   IEEE Geoscience and Remote Sensing Letters

Learning from Imbalanced Data

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

Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems

(2009) D.J. Drown et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

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

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

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

Roughly balanced bagging for imbalanced data

(2009) Shohei Hido et al.   Statistical Analysis and Data Mining

Automatically countering imbalance and its empirical relationship to cost

(2008) Nitesh V. Chawla et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

(2008) Alberto Fernández et al.   FUZZY SETS AND SYSTEMS

Exploratory Undersampling for Class-Imbalance Learning

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

Robust BMPM training based on second-order cone programming and its application in medical diagnosis

(2008) Xiang Peng et al.   NEURAL NETWORKS

Ground-level ozone prediction by support vector machine approach with a cost-sensitive classification scheme

(2008) Wei-Zhen Lu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

KEEL: a software tool to assess evolutionary algorithms for data mining problems

(2008) J. Alcalá-Fdez et al.   SOFT COMPUTING

Evolutionary rule-based systems for imbalanced data sets

(2008) Albert Orriols-Puig et al.   SOFT COMPUTING

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

(2008) S. García et al.   SOFT COMPUTING

Classifier ensembles: Select real-world applications

(2007) Nikunj C. Oza et al.   Information Fusion

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

(2007) Maciej A. Mazurowski et al.   NEURAL NETWORKS