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Iman Nekooeimehr
Researcher at University of South Florida
Publications - 5
Citations - 217
Iman Nekooeimehr is an academic researcher from University of South Florida. The author has contributed to research in topics: Oversampling & Ordinal regression. The author has an hindex of 4, co-authored 5 publications receiving 137 citations.
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Journal ArticleDOI
Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets
TL;DR: A new oversampling method called Adaptive Semi-Unsupervised Weighted Oversampling (A-SUWO) for imbalanced binary dataset classification that aims to identify hard-to-learn instances by considering minority instances from each sub-cluster that are closer to the borderline.
Journal ArticleDOI
Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord)
TL;DR: A new oversampling method called Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord) is proposed for addressing ordinal regression with imbalanced datasets and provides significantly better results compared to other methods based on the performance measures.
Journal ArticleDOI
Automated contour tracking and trajectory classification of pelvic organs on dynamic MRI.
TL;DR: This work aims to enable automatic tracking and analysis of multiple deformable structures from images to improve understanding of medical disorders.
Proceedings ArticleDOI
Automated tracking, segmentation and trajectory classification of pelvic organs on dynamic MRI
TL;DR: A two-stage method is presented to automatically track and segment pelvic organs on DMRI followed by a multiple-object trajectory classification method to improve the diagnosis of pelvic organ prolapse.