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SN Computer Science|May 18, 2023
Data-Centric AI for Healthcare Fraud DetectionJustin M Johnson, Taghi M KhoshgoftaarIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2006
Unsupervised multiscale color image segmentation based on MDL principleQiming Luo, Taghi M KhoshgoftaarBiomedical Engineering Online|August 12, 2025
A review of machine learning applications in heart healthAva Perrone, Taghi M KhoshgoftaarJournal of Big Data|November 10, 2020
CatBoost for big data: an interdisciplinary reviewJohn T Hancock, Taghi M KhoshgoftaarArtificial Intelligence in Medicine|July 19, 2018
A review of statistical and machine learning methods for modeling cancer risk using structured clinical dataAaron N Richter, Taghi M KhoshgoftaarHealth Information Science and Systems|September 7, 2018
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big dataRichard A Bauder, Taghi M KhoshgoftaarComputers in Biology and Medicine|May 22, 2019
Efficient learning from big data for cancer risk modeling: A case study with melanomaAaron N Richter, Taghi M KhoshgoftaarHealth Care Management Science|October 29, 2018
Approaches for identifying U.S. medicare fraud in provider claims dataMatthew Herland, Richard A Bauder, Taghi M KhoshgoftaarJournal of Big Data|July 26, 2021
Text Data Augmentation for Deep LearningConnor Shorten, Taghi M Khoshgoftaar, Borko FurhtJournal of Big Data|January 18, 2021
Deep Learning applications for COVID-19Connor Shorten, Taghi M Khoshgoftaar, Borko FurhtPageof 5