article Open AccessTop 1% cited
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning · 1999 · Vol. 37(3) · pp. 297–336
Robert E. Schapire✉(AT&T (United States))Yoram Singer(AT&T (United States))
Machine Learning and Data ClassificationExplainable Artificial Intelligence (XAI)Imbalanced Data Classification TechniquesBoosting (machine learning)AdaBoostArtificial intelligenceDecision treeMachine learningComputer scienceMathematicsMulticlass classificationPattern recognition (psychology)Classifier (UML)
Citations
1,951
FWCI
29.22
field-weighted impact
References
29
Percentile
100%
vs. same field & year
Citations per year
Cited by
Multilabel classification via calibrated label ranking
Machine Learning · 2008 · 900 citations
Classifier chains for multi-label classification
Machine Learning · 2011 · 2,237 citations
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition · 2007 · 1,416 citations
Learning from class-imbalanced data: Review of methods and applications
Expert Systems with Applications · 2016 · 2,276 citations
Word sense disambiguation
ACM Computing Surveys · 2009 · 1,799 citations
Machine learning for email spam filtering: review, approaches and open research problems
Heliyon · 2019 · 508 citations
References
Boosting the margin: a new explanation for the effectiveness of voting methods
The Annals of Statistics · 1998 · 2,317 citations
Arcing classifier (with discussion and a rejoinder by the author)
The Annals of Statistics · 1998 · 1,094 citations
UCI Repository of machine learning databases
Medical Entomology and Zoology · 1998 · 10,524 citations
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
Machine Learning · 1999 · 2,628 citations
What Size Net Gives Valid Generalization?
Neural Computation · 1989 · 1,550 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
