A parallel and distributed stochastic gradient descent implementation using commodity clusters. - Robert K. L. Kennedy; Taghi M. Khoshgoftaar; Flavio Villanustre; Timothy Humphrey (J. Big Data, 2019)

Accelerated Deep Learning on HPCC Systems. - Robert K. L. Kennedy; Taghi M. Khoshgoftaar (ICMLA, 2020)

An Examination of Neural Networks on Cluster Computers. - Robert K. L. Kennedy; Taghi M. Khoshgoftaar (BigDataService, 2021)

The Effects of Class Label Noise on Highly-Imbalanced Big Data. - Robert K. L. Kennedy; Justin M. Johnson; Taghi M. Khoshgoftaar (ICTAI, 2021)

A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data. - Robert K. L. Kennedy; Zahra Salekshahrezaee; Taghi M. Khoshgoftaar (CogMI, 2022)

A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data. - Robert K. L. Kennedy; Taghi M. Khoshgoftaar (CogMI, 2023)

Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method. - Robert K. L. Kennedy; Zahra Salekshahrezaee; Taghi M. Khoshgoftaar (IRI, 2023)

Learning from Highly Imbalanced Big Data with Label Noise. - Justin M. Johnson; Robert K. L. Kennedy; Taghi M. Khoshgoftaar (Int. J. Artif. Intell. Tools, 2023)

Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning. - Robert K. L. Kennedy; Zahra Salekshahrezaee; Flavio Villanustre; Taghi M. Khoshgoftaar (J. Big Data, 2023)

Synthesizing class labels for highly imbalanced credit card fraud detection data. - Robert K. L. Kennedy; Flavio Villanustre; Taghi M. Khoshgoftaar; Zahra Salekshahrezaee (J. Big Data, 2024)

Unsupervised feature selection and class labeling for credit card fraud. - Robert K. L. Kennedy; Flavio Villanustre; Taghi M. Khoshgoftaar (J. Big Data, 2025)