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Nitesh V. Chawla
Researcher at University of Notre Dame
Publications - 434
Citations - 52969
Nitesh V. Chawla is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Computer science & Health care. The author has an hindex of 61, co-authored 388 publications receiving 41365 citations. Previous affiliations of Nitesh V. Chawla include University of South Florida & Wrocław University of Technology.
Papers
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Journal ArticleDOI
SMOTE: synthetic minority over-sampling technique
TL;DR: In this article, a method of over-sampling the minority class involves creating synthetic minority class examples, which is evaluated using the area under the Receiver Operating Characteristic curve (AUC) and the ROC convex hull strategy.
Journal ArticleDOI
SMOTE: Synthetic Minority Over-sampling Technique
TL;DR: In this article, a method of over-sampling the minority class involves creating synthetic minority class examples, which is evaluated using the area under the Receiver Operating Characteristic curve (AUC) and the ROC convex hull strategy.
Journal ArticleDOI
Editorial: special issue on learning from imbalanced data sets
Proceedings ArticleDOI
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
TL;DR: Two scalable representation learning models, namely metapath2vec and metapATH2vec++, are developed that are able to not only outperform state-of-the-art embedding models in various heterogeneous network mining tasks, but also discern the structural and semantic correlations between diverse network objects.
Book ChapterDOI
SMOTEBoost: Improving Prediction of the Minority Class in Boosting
TL;DR: This paper presents a novel approach for learning from imbalanced data sets, based on a combination of the SMOTE algorithm and the boosting procedure, which shows improvement in prediction performance on the minority class and overall improved F-values.