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Nathalie Japkowicz

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"Nathalie Japkowicz"
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Mark Gluck grad student Rutgers, New Brunswick

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Bellinger C, Sharma S, Japkowicz N, et al. (2020) Framework for extreme imbalance classification: SWIM—sampling with the majority class Knowledge and Information Systems. 62: 841-866
Malondkar A, Corizzo R, Kiringa I, et al. (2019) Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets Information Sciences. 496: 572-591
Corizzo R, Ceci M, Japkowicz N. (2019) Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data Big Data Research. 16: 18-35
Yang Z, Japkowicz N. (2018) Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set Journal of Big Data. 5: 23
Shapiro D, Japkowicz N, Lemay M, et al. (2018) Fuzzy String Matching with a Deep Neural Network Applied Artificial Intelligence. 32: 1-12
Bellinger C, Sharma S, Japkowicz N. (2018) One-class classification – From theory to practice: A case-study in radioactive threat detection Expert Systems With Applications. 108: 223-232
Bellinger C, Drummond C, Japkowicz N. (2018) Manifold-based synthetic oversampling with manifold conformance estimation Machine Learning. 107: 605-637
Liu X, Wang X, Matwin S, et al. (2015) Meta-MapReduce for scalable data mining Journal of Big Data. 2
Rigouste L, Szpakowicz S, Japkowicz N, et al. (2014) An automatic evaluation framework for improving a configurable text summarizer Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3060: 529-533
Stocki TJ, Li G, Japkowicz N, et al. (2010) Machine learning for radioxenon event classification for the Comprehensive Nuclear-Test-Ban Treaty. Journal of Environmental Radioactivity. 101: 68-74
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