Class-overlap undersampling based on Schur decomposition for Class-imbalance problems
Authors:
- Qi DaiQDQi Dai
- Jian-Wei LiuJian-Wei Liu
- Yong-Hui ShiYSYong-Hui Shi
Top Cited Papers
- 24 February 2023
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 221
Abstract
No abstract availableKeywords
This publication has 55 references indexed in Scilit:
- An Overview and Empirical Comparison of Distance Metric Learning MethodsIEEE Transactions on Cybernetics, 2016
- A novel ensemble method for classifying imbalanced dataPattern Recognition, 2015
- Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithmsNeurocomputing, 2015
- An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristicsInformation Sciences, 2013
- Embedding color watermarks in color images based on Schur decompositionOptics Communications, 2012
- Evolutionary-based selection of generalized instances for imbalanced classificationKnowledge-Based Systems, 2012
- A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) modelsExpert Systems with Applications, 2005
- A genetic-algorithm for discovering small-disjunct rules in data miningApplied Soft Computing, 2002
- The use of the area under the ROC curve in the evaluation of machine learning algorithmsPattern Recognition, 1997
- Principal components analysis (PCA)Computers & Geosciences, 1993