Learning from Imbalanced Data
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- Type
- article
- Published
- 2009-09-01
- Cited by
- 4,522
- References
- 141
- OpenAlex
- https://openalex.org/W2118978333
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206742563
Keywords
Computer science, Data science, Raw data, Machine learning, Artificial intelligence
References
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- Concept Learning and the Problem of Small Disjuncts
- Kernelizing Vector Quantization Algorithms
- The Foundations of Cost-Sensitive Learning
- Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
- View Learning for Statistical Relational Learning: With an Application to Mammography
- A Novelty Detection Approach to Classification
- Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier
- Bias Plus Variance Decomposition for Zero-One Loss Functions
- Total margin based adaptive fuzzy support vector machines for multiview face recognition
- The Case against Accuracy Estimation for Comparing Induction Algorithms
- Machine Learning from Imbalanced Data Sets 101
- Aligning boundary in kernel space for learning imbalanced dataset
- The effect of class distribution on classifier learning: an empirical study
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- Machine Learning for Identification and Optimal Control of Advanced Automotive Engines.
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