Richard A. Bauder

发表

Machine Learning Algorithms with Big Medicare Fraud Data

Richard A. Bauder, 2018 .

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).

Evaluating Model Predictive Performance: A Medicare Fraud Detection Case Study

Taghi M. Khoshgoftaar, Richard A. Bauder, Matthew Herland, 2019, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI).

Big Data fraud detection using multiple medicare data sources

Taghi M. Khoshgoftaar, Richard A. Bauder, Matthew Herland, 2018, J. Big Data.

Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers

Taghi M. Khoshgoftaar, Amri Napolitano, Richard A. Bauder, 2018, The Florida AI Research Society.

Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims

Taghi M. Khoshgoftaar, Richard A. Bauder, Matthew Herland, 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).

The effects of class rarity on the evaluation of supervised healthcare fraud detection models

Taghi M. Khoshgoftaar, Richard A. Bauder, Matthew Herland, 2019, J. Big Data.

A Survey of Medicare Data Processing and Integration for Fraud Detection

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2018, FLAIRS.

A study on rare fraud predictions with big Medicare claims fraud data

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2020, Intell. Data Anal..

Medicare Fraud Detection Using Random Forest with Class Imbalanced Big Data

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Identifying Medicare Provider Fraud with Unsupervised Machine Learning

Taghi M. Khoshgoftaar, Richard A. Bauder, Raquel da Rosa, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Medicare Fraud Detection Using Machine Learning Methods

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

A survey on addressing high-class imbalance in big data

Taghi M. Khoshgoftaar, Naeem Seliya, Richard A. Bauder, 2018, Journal of Big Data.

Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims

Taghi M. Khoshgoftaar, Aaron N. Richter, Richard A. Bauder, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

An Empirical Study on Class Rarity in Big Data

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Multivariate outlier detection in medicare claims payments applying probabilistic programming methods

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2017, Health Services and Outcomes Research Methodology.

Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Experimental Studies on the Impact of Data Sampling with Severely Imbalanced Big Data

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2020 .

A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper)

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming

Taghi M. Khoshgoftaar, Richard A. Bauder, T. Khoshgoftaar, 2017, FLAIRS.

A survey on the state of healthcare upcoding fraud analysis and detection

Richard A. Bauder, T. Khoshgoftaar, Naeem Seliya, 2017, Health Services and Outcomes Research Methodology.

A survey on addressing high-class imbalance in big data

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2018, Journal of Big Data.

Approaches for identifying U.S. medicare fraud in provider claims data

Richard A. Bauder, Matthew Herland, Richard A Bauder, 2018, Health care management science.

Investigating the relationship between time and predictive model maintenance

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2020, Journal of Big Data.

The Effect of Time on the Maintenance of a Predictive Model

Naeem Seliya, Richard A. Bauder, Joffrey L Leevy, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Big Data fraud detection using multiple medicare data sources

Richard A. Bauder, T. Khoshgoftaar, Matthew Herland, 2018, J. Big Data.

Severely imbalanced Big Data challenges: investigating data sampling approaches

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2019, Journal of Big Data.

Severely imbalanced Big Data challenges: investigating data sampling approaches

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2019, Journal of Big Data.

The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data

Richard A. Bauder, Richard A Bauder, Taghi M Khoshgoftaar, 2018, Health Inf. Sci. Syst..

The effects of class rarity on the evaluation of supervised healthcare fraud detection models

Richard A. Bauder, T. Khoshgoftaar, Matthew Herland, 2019, J. Big Data.

Approaches for identifying U.S. medicare fraud in provider claims data

Richard A. Bauder, T. Khoshgoftaar, Matthew Herland, 2018, Health Care Management Science.

Investigating class rarity in big data

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2020, Journal of Big Data.