| 2024 | ICTAI | Enhancing Medicare Fraud Detection: Random Undersampling Followed by SHAP-Driven Feature Selection with Big Data. | Qianxin Liang, Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2023 | ICTAI | A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. | John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2019 | ICMLA | The Effect of Time on the Maintenance of a Predictive Model. | Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya |
| 2019 | IRI | Evaluating Model Predictive Performance: A Medicare Fraud Detection Case Study. | Richard A. Bauder, Matthew Herland, Taghi M. Khoshgoftaar |
| 2018 | FlAIRS | The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2018 | FlAIRS | Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers. | Richard A. Bauder, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2018 | ICMLA | An Empirical Study on Class Rarity in Big Data. | Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin |
| 2018 | IRI | A Survey of Medicare Data Processing and Integration for Fraud Detection. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2018 | IRI | Medicare Fraud Detection Using Random Forest with Class Imbalanced Big Data. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2018 | IRI | Identifying Medicare Provider Fraud with Unsupervised Machine Learning. | Richard A. Bauder, Raquel da Rosa, Taghi M. Khoshgoftaar |
| 2018 | ICTAI | Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. | Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin |
| 2017 | FlAIRS | Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2017 | ICMLA | Medicare Fraud Detection Using Machine Learning Methods. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2017 | IRI | Estimating Outlier Score Probabilities. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2017 | IRI | Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims. | Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2016 | ICMLA | A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims. | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2016 | IRI | A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper). | Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2016 | ICTAI | Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims. | Richard A. Bauder, Taghi M. Khoshgoftaar, Aaron N. Richter, Matthew Herland |