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Amri Napolitano, Ph.D. - Publications

Affiliations: 
2009 Florida Atlantic University, Boca Raton, FL, United States 
Area:
Computer Science
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35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Najafabadi MM, Khoshgoftaar TM, Napolitano A. Detecting Network Attacks Based on Behavioral Commonalities International Journal of Reliability, Quality and Safety Engineering. 23. DOI: 10.1142/S0218539316500054  0.508
2015 Wang H, Khoshgoftaar TM, Napolitano A. Stability of three forms of feature selection methods on software engineering data Proceedings of the International Conference On Software Engineering and Knowledge Engineering, Seke. 2015: 385-390. DOI: 10.18293/SEKE2015!-198  0.624
2015 Gao K, Khoshgoftaar TM, Napolitano A. An Empirical Investigation of Combining Filter-Based Feature Subset Selection and Data Sampling for Software Defect Prediction International Journal of Reliability, Quality and Safety Engineering. 22: 1550027. DOI: 10.1142/S0218539315500278  0.769
2015 Khoshgoftaar TM, Gao K, Chen Y, Napolitano A. Comparing Feature Selection Techniques for Software Quality Estimation Using Data-Sampling-Based Boosting Algorithms International Journal of Reliability, Quality and Safety Engineering. 22: 1550013. DOI: 10.1142/S0218539315500138  0.753
2015 Gao K, Khoshgoftaar TM, Napolitano A. Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data International Journal of Software Engineering and Knowledge Engineering. 25: 1531-1550. DOI: 10.1142/S0218194015400318  0.75
2015 Gao K, Khoshgoftaar TM, Napolitano A. Investigating two approaches for adding feature ranking to sampled ensemble learning for software quality estimation International Journal of Software Engineering and Knowledge Engineering. 25: 115-146. DOI: 10.1142/S0218194015400069  0.767
2015 Wang H, Khoshgoftaar TM, Napolitano A. An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality International Journal of Software Engineering and Knowledge Engineering. 25: 93-114. DOI: 10.1142/S0218194015400057  0.649
2014 Gao K, Khoshgoftaar TM, Napolitano A. The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction International Journal of Software Engineering and Knowledge Engineering. 24: 1229-1253. DOI: 10.1142/S0218194014400105  0.768
2013 Wang H, Khoshgoftaar TM, Napolitano A. An empirical study on wrapper-based feature selection for software engineering data Proceedings - 2013 12th International Conference On Machine Learning and Applications, Icmla 2013. 2: 84-89. DOI: 10.1109/ICMLA.2013.110  0.622
2013 Khoshgoftaar TM, Gao K, Napolitano A, Wald R. A comparative study of iterative and non-iterative feature selection techniques for software defect prediction Information Systems Frontiers. 16: 801-822. DOI: 10.1007/S10796-013-9430-0  0.819
2012 Altidor W, Khoshgoftaar TM, Napolitano A. Measuring stability of feature ranking techniques: A noise-based approach International Journal of Business Intelligence and Data Mining. 7: 80-115. DOI: 10.1504/Ijbidm.2012.048729  0.814
2012 KHOSHGOFTAAR TM, GAO K, NAPOLITANO A. AN EMPIRICAL STUDY OF FEATURE RANKING TECHNIQUES FOR SOFTWARE QUALITY PREDICTION International Journal of Software Engineering and Knowledge Engineering. 22: 161-183. DOI: 10.1142/S0218194012400013  0.709
2012 Wang H, Khoshgoftaar TM, Napolitano A. An empirical study on the stability of feature selection for imbalanced software engineering data Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 317-323. DOI: 10.1109/ICMLA.2012.60  0.64
2012 Wang H, Khoshgoftaar TM, Napolitano A. Software measurement data reduction using ensemble techniques Neurocomputing. 92: 124-132. DOI: 10.1016/J.Neucom.2011.08.040  0.696
2012 Van Hulse J, Khoshgoftaar TM, Napolitano A, Wald R. Threshold-based feature selection techniques for high-dimensional bioinformatics data Network Modeling Analysis in Health Informatics and Bioinformatics. 1: 47-61. DOI: 10.1007/S13721-012-0006-6  0.805
2011 Van Hulse J, Khoshgoftaar TM, Napolitano A. An exploration of learning when data is noisy and imbalanced Intelligent Data Analysis. 15: 215-236. DOI: 10.3233/IDA-2010-0464  0.741
2011 Van Hulse J, Khoshgoftaar TM, Napolitano A. Evaluating the impact of data quality on sampling Journal of Information and Knowledge Management. 10: 225-245. DOI: 10.1142/S021964921100295X  0.784
2011 Khoshgoftaar TM, Van Hulse J, Napolitano A. Comparing boosting and bagging techniques with noisy and imbalanced data Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 41: 552-568. DOI: 10.1109/TSMCA.2010.2084081  0.797
2011 Van Hulse J, Khoshgoftaar TM, Napolitano A. A comparative evaluation of feature ranking methods for high dimensional bioinformatics data Proceedings of the 2011 Ieee International Conference On Information Reuse and Integration, Iri 2011. 315-320. DOI: 10.1109/IRI.2011.6009566  0.799
2011 Altidor W, Khoshgoftaar TM, Napolitano A. A noise-based stability evaluation of threshold-based feature selection techniques Proceedings of the 2011 Ieee International Conference On Information Reuse and Integration, Iri 2011. 240-245. DOI: 10.1109/IRI.2011.6009553  0.793
2010 Khoshgoftaar TM, Van Hulse J, Napolitano A. Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 813-30. PMID 20236881 DOI: 10.1109/Tnn.2010.2042730  0.746
2010 Van Hulse J, Khoshgoftaar TM, Napolitano A. An empirical evaluation of repetitive undersampling techniques International Journal of Software Engineering and Knowledge Engineering. 20: 173-195. DOI: 10.1142/S0218194010004682  0.758
2010 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. RUSBoost: A hybrid approach to alleviating class imbalance Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 40: 185-197. DOI: 10.1109/TSMCA.2009.2029559  0.778
2010 Van Hulse J, Khoshgoftaar TM, Napolitano A. A novel noise filtering algorithm for imbalanced data Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 9-14. DOI: 10.1109/ICMLA.2010.9  0.748
2009 Van Hulse J, Khoshgoftaar TM, Napolitano A. An empirical comparison of repetitive undersampling techniques 2009 Ieee International Conference On Information Reuse and Integration, Iri 2009. 29-34. DOI: 10.1109/IRI.2009.5211614  0.779
2009 Altidor W, Khoshgoftaar TM, Napolitano A. Wrapper-based feature ranking for software engineering metrics 8th International Conference On Machine Learning and Applications, Icmla 2009. 241-246. DOI: 10.1109/ICMLA.2009.17  0.79
2009 Van Hulse J, Khoshgoftaar TM, Napolitano A, Wald R. Feature selection with high-dimensional imbalanced data Icdm Workshops 2009 - Ieee International Conference On Data Mining. 507-514. DOI: 10.1109/ICDMW.2009.35  0.771
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. Resampling or reweighting: A comparison of boosting implementations Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 1: 445-451. DOI: 10.1109/ICTAI.2008.59  0.734
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. A comparative study of data sampling and cost sensitive learning Proceedings - Ieee International Conference On Data Mining Workshops, Icdm Workshops 2008. 46-52. DOI: 10.1109/ICDMW.2008.119  0.739
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. RUSBoost: Improving classification performance when training data is skewed Proceedings - International Conference On Pattern Recognition.  0.716
2007 Van Hulse J, Khoshgoftaar TM, Napolitano A. Experimental perspectives on learning from imbalanced data Acm International Conference Proceeding Series. 227: 935-942. DOI: 10.1145/1273496.1273614  0.742
2007 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. Mining data with rare events: A case study Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2: 132-139. DOI: 10.1109/ICTAI.2007.71  0.749
2007 Khoshgoftaar TM, Seiffert C, Van Hulse J, Napolitano A, Folleco A. Learning with limited minority class data Proceedings - 6th International Conference On Machine Learning and Applications, Icmla 2007. 348-353. DOI: 10.1109/ICMLA.2007.64  0.748
2007 Van Hulse J, Khoshgoftaar TM, Napolitano A. Skewed class distributions and mislabeled examples Proceedings - Ieee International Conference On Data Mining, Icdm. 477-482. DOI: 10.1109/ICDMW.2007.34  0.734
2007 Van Hulse J, Khoshgoftaar TM, Napolitano A. Software reliability modeling using skewed measurement data Proceedings - 13th Issat International Conference On Reliability and Quality in Design. 181-185.  0.746
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