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