Preston Billion Polak

According to our database, Preston Billion Polak authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Artificial Intelligence and Machine Learning for Job Hazard Analysis: A Survey.

Misbah Khan, Preston Billion Polak, Taghi M. Khoshgoftaar

IEEE Access, 2026

Characterizing and Harmonizing Five Public Workplace Injury Datasets for Research and Modeling.

Richard A. Bauder, Preston Billion Polak, Taghi M. Khoshgoftaar

IEEE Access, 2026

2025

Evaluating techniques from low-shot learning on traditional imbalanced classification tasks.

Preston Billion Polak, Taghi M. Khoshgoftaar

J. Big Data, December, 2025

A review of distinct machine learning classifiers for healthcare fraud detection.

Ethan D. Curtis, Preston Billion Polak, Taghi M. Khoshgoftaar, Borko Furht

J. Big Data, December, 2025

Examining the Impact of Feature Selection for Contrastive Learning in Fraud Detection.

Preston Billion Polak, Taghi M. Khoshgoftaar

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Applying Machine Learning to Classify Automobile Repossession Success.

Preston Billion Polak, Andy Sinclair, Taghi M. Khoshgoftaar

Proceedings of the International Conference on Machine Learning and Applications, 2025

Unlocking Machine Learning Insights into a Novel Auto Repossession Dataset.

Andy Sinclair, Preston Billion Polak, Taghi M. Khoshgoftaar

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024

Low-shot learning and class imbalance: a survey.

Preston Billion Polak, Joseph D. Prusa, Taghi M. Khoshgoftaar

J. Big Data, December, 2024

A Comparison of Low-Shot Learning Methods for Imbalanced Binary Classification.

Preston Billion Polak, Taghi M. Khoshgoftaar

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

An Evaluation of Low-Shot Learning Techniques for the Detection of Credit Card Fraud.

Preston Billion Polak, Taghi M. Khoshgoftaar

Proceedings of the International Conference on Machine Learning and Applications, 2024