Amri Napolitano
Publications by Year
Research Areas
Imbalanced Data Classification Techniques, Machine Learning and Data Classification, Software Engineering Research, Software Reliability and Analysis Research, Gene expression and cancer classification
Most-Cited Works
- → RUSBoost: A Hybrid Approach to Alleviating Class Imbalance(2009)1,830 cited
- → Experimental perspectives on learning from imbalanced data(2007)781 cited
- → Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data(2010)304 cited
- → RUSBoost: Improving classification performance when training data is skewed(2008)294 cited
- → Feature Selection with High-Dimensional Imbalanced Data(2009)197 cited
- → Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data(2015)148 cited
- → A review of the stability of feature selection techniques for bioinformatics data(2012)116 cited
- → A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction(2010)116 cited
- → Learning with limited minority class data(2007)87 cited
- → Supervised Neural Network Modeling: An Empirical Investigation Into Learning From Imbalanced Data With Labeling Errors(2010)83 cited