Cost-sensitive Learning Publications

Publications in Cost-sensitive Learning

Explore the most influential research papers and scholarly works that have shaped Cost-sensitive Learning. Use the concept filter below to focus on a specific sub-area of research.

Cost-sensitive Learning

670

Publications

68.4K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Classification and Regression by randomForest Andy Liaw, Matthew C. Wiener Artificial IntelligenceEngineeringMachine LearningMining MethodsClassification Trees	2007	18.4K
The class imbalance problem: A systematic study1 Nathalie Japkowicz, Shaju Stephen Intelligent Data Analysis Prior Class ProbabilitiesEngineeringMachine LearningEducationSocial Stratification	2002	3.2K
Classification and regression trees Wei‐Yin Loh Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringMachine LearningMining MethodsDecision AnalyticsKnowledge Discovery In Databases	2011	2.1K
Cost-sensitive boosting for classification of imbalanced data Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Pattern Recognition Data ClassificationImbalanced DataEngineeringMachine LearningData Science	2007	1.4K
Training cost-sensitive neural networks with methods addressing the class imbalance problem Zhi‐Hua Zhou, Xuying Liu IEEE Transactions on Knowledge and Data Engineering Artificial IntelligenceClassification MethodEngineeringMachine LearningData Science	2006	1.3K
MetaCost Pedro Domingos Artificial IntelligenceEngineeringMachine LearningArbitrary ClassifierClassification Method	1999	1.3K
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric Sabri Boughorbel, Fethi Jarray, Mohammed Elanbari PLoS ONE EngineeringMachine LearningClassification MethodData ScienceData Mining	2017	1.2K
The impact of class imbalance in classification performance metrics based on the binary confusion matrix Amalia Luque Sendra, Alejandro Carrasco, Alejandro Manuel Martín-Gómez, Pattern Recognition Imbalance RatioEngineeringMachine LearningBusiness IntelligenceClassification Performance Metrics	2019	1.1K
Experimental perspectives on learning from imbalanced data Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano Comprehensive SuiteEngineeringMachine LearningSampling TechniqueDifferent Performance Metrics	2007	779
Cost-sensitive learning by cost-proportionate example weighting Bianca Zadrozny, John Langford, Naoki Abe EngineeringMachine LearningData ScienceData MiningPattern Recognition	2004	671
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm Peter D. Turney Journal of Artificial Intelligence Research Artificial IntelligenceEngineeringMachine LearningClassification MethodData Science	1995	569
Borderline over-sampling for imbalanced data classification Hien M. Nguyen, Eric W. Cooper, Katsuari Kamei International Journal of Knowledge Engineering and Soft Data Paradigms EngineeringMachine LearningSupport Vector MachineClassification MethodBorderline Over-sampling	2011	568

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