Robert K. L. Kennedy

Flavio Villanustre

J. Big Data, December, 2024

2023

Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning.

[BibT_eX]

[DOI]

Flavio Villanustre

J. Big Data, December, 2023

Learning from Highly Imbalanced Big Data with Label Noise.

[BibT_eX]

[DOI]

Justin M. Johnson

Int. J. Artif. Intell. Tools, August, 2023

Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022

A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

2021

The Effects of Class Label Noise on Highly-Imbalanced Big Data.

[BibT_eX]

[DOI]

Justin M. Johnson

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

An Examination of Neural Networks on Cluster Computers.

[BibT_eX]

[DOI]

Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

2020

Accelerated Deep Learning on HPCC Systems.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

A parallel and distributed stochastic gradient descent implementation using commodity clusters.

[BibT_eX]

[DOI]