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Keyword

imbalanced classification

Description: A supervised classification problem in which the classes have substantially unequal numbers of observations, often requiring specialized learning or resampling methods.
OpenAlex ID: keywords/imbalanced-data-classification
MoleculeNet: a benchmark for molecular machine learning
2017 · Zhenqin Wu, Bharath Ramsundar, et al. · Chemical Science · 3,082
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Survey on deep learning with class imbalance
2019 · Justin M. Johnson, Taghi M. Khoshgoftaar · Journal Of Big Data · 2,999
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RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
2009 · Chris Seiffert, Taghi M. Khoshgoftaar, et al. · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 1,867
Classification of Imbalanced Data: a Review
2009 · YANMIN SUN, ANDREW K. C. WONG, et al. · International Journal of Pattern Recognition and Artificial Intelligence · 1,699
Cost-sensitive boosting for classification of imbalanced data
2007 · Yanmin Sun, Mohamed S. Kamel, et al. · Pattern Recognition · 1,424
Large-Scale Long-Tailed Recognition in an Open World
2019 · Ziwei Liu, Zhongqi Miao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,173
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The impact of class imbalance in classification performance metrics based on the binary confusion matrix
2019 · Amalia Luque, Alejandro Carrasco, et al. · Pattern Recognition · 1,131
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Learning Deep Representation for Imbalanced Classification
2016 · Chen Huang, Yining Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,026
Data imbalance in classification: Experimental evaluation
2019 · Fadi Thabtah, Suhel Hammoud, et al. · Information Sciences · 853
Training and assessing classification rules with imbalanced data
2012 · Giovanna Menardi, Nicola Torelli · Data Mining and Knowledge Discovery · 766
A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance
2019 · Dina Elreedy, Amir F. Atiya · Information Sciences · 758
Class imbalances versus small disjuncts
2004 · Taeho Jo, Nathalie Japkowicz · ACM SIGKDD Explorations Newsletter · 683
Calibrating Probability with Undersampling for Unbalanced Classification
2015 · Andrea Dal Pozzolo, Olivier Caelen, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 653
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
2014 · José A. Sáez, Julián Luengo, et al. · Information Sciences · 627
Borderline over-sampling for imbalanced data classification
2011 · Hien M. Nguyen, Eric W. Cooper, et al. · International Journal of Knowledge Engineering and Soft Data Paradigms · 593
Strategies for learning in class imbalance problems
2003 · R Barandela, J.S Sánchez, et al. · Pattern Recognition · 579
Using Class Imbalance Learning for Software Defect Prediction
2013 · Shuo Wang, Xin Yao · IEEE Transactions on Reliability · 571
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
2023 · Azal Ahmad Khan, Omkar Chaudhari, et al. · Expert Systems with Applications · 536
On the Class Imbalance Problem
2008 · Xinjian Guo, Yilong Yin, et al. · International Conference on Natural Computation (ICNC) · 492
Class Imbalance Problem in Data Mining Review
2013 · Longadge, Rushi, Dongre, Snehalata · arXiv (Cornell University) · 449
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An embedded feature selection method for imbalanced data classification
2019 · Haoyue Liu, MengChu Zhou, et al. · IEEE/CAA Journal of Automatica Sinica · 434
A novel ensemble method for classifying imbalanced data
2014 · Zhongbin Sun, Qinbao Song, et al. · Pattern Recognition · 414
FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning
2010 · Rukshan Batuwita, Vasile Palade · IEEE Transactions on Fuzzy Systems · 411
AdaBoost with SVM-based component classifiers
2007 · Xuchun Li, Lei Wang, et al. · Engineering Applications of Artificial Intelligence · 393
Combating the Small Sample Class Imbalance Problem Using Feature Selection
2009 · Mike Wasikowski, Xue-wen Chen · IEEE Transactions on Knowledge and Data Engineering · 390
Works count: 4,965
Citation count: 91,780
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