Richard A. Bauder

31 papers B 4C 4Misc 10Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights. J. Big Data Gonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar
2025	—	`conf`	An Interpretable and Efficient Random Undersampling-enhanced SHAP Framework for Medicare Fraud Detection. CIC Qianxin Liang, Richard A. Bauder, Taghi M. Khoshgoftaar
2025	J	`jnl`	SHAP as a Data Reduction Technique for Highly Imbalanced Big Data. Int. J. Artif. Intell. Tools John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar
2024	B	`conf`	Enhancing Medicare Fraud Detection: Random Undersampling Followed by SHAP-Driven Feature Selection with Big Data. ICTAI Qianxin Liang, Richard A. Bauder, Taghi M. Khoshgoftaar
2023	B	`conf`	A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. ICTAI John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar
2023	J	`jnl`	Explainable machine learning models for Medicare fraud detection. J. Big Data John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar
2020	J	`jnl`	A study on rare fraud predictions with big Medicare claims fraud data. Intell. Data Anal. Richard A. Bauder, Taghi M. Khoshgoftaar
2020	J	`jnl`	Investigating class rarity in big data. J. Big Data Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder
2020	J	`jnl`	Investigating the relationship between time and predictive model maintenance. J. Big Data Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
2019	Misc	`conf`	Evaluating Model Predictive Performance: A Medicare Fraud Detection Case Study. IRI Richard A. Bauder, Matthew Herland, Taghi M. Khoshgoftaar
2019	J	`jnl`	Severely imbalanced Big Data challenges: investigating data sampling approaches. J. Big Data Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder
2019	C	`conf`	The Effect of Time on the Maintenance of a Predictive Model. ICMLA Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
2019	J	`jnl`	The effects of class rarity on the evaluation of supervised healthcare fraud detection models. J. Big Data Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar
2018	Misc	`conf`	A Survey of Medicare Data Processing and Integration for Fraud Detection. IRI Richard A. Bauder, Taghi M. Khoshgoftaar
2018	J	`jnl`	A survey on addressing high-class imbalance in big data. J. Big Data Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
2018	C	`conf`	An Empirical Study on Class Rarity in Big Data. ICMLA Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin
2018	J	`jnl`	Big Data fraud detection using multiple medicare data sources. J. Big Data Matthew Herland, Taghi M. Khoshgoftaar, Richard A. Bauder
2018	B	`conf`	Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. ICTAI Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin
2018	Misc	`conf`	Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers. FLAIRS Richard A. Bauder, Taghi M. Khoshgoftaar, Amri Napolitano
2018	Misc	`conf`	Identifying Medicare Provider Fraud with Unsupervised Machine Learning. IRI Richard A. Bauder, Raquel da Rosa, Taghi M. Khoshgoftaar
2018	—	`—`	Machine Learning Algorithms with Big Medicare Fraud Data. Richard A. Bauder
2018	Misc	`conf`	Medicare Fraud Detection Using Random Forest with Class Imbalanced Big Data. IRI Richard A. Bauder, Taghi M. Khoshgoftaar
2018	Misc	`conf`	The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels. FLAIRS Richard A. Bauder, Taghi M. Khoshgoftaar
2018	J	`jnl`	The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data. Health Inf. Sci. Syst. Richard A. Bauder, Taghi M. Khoshgoftaar
2017	Misc	`conf`	Estimating Outlier Score Probabilities. IRI Richard A. Bauder, Taghi M. Khoshgoftaar
2017	Misc	`conf`	Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims. IRI Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar
2017	C	`conf`	Medicare Fraud Detection Using Machine Learning Methods. ICMLA Richard A. Bauder, Taghi M. Khoshgoftaar
2017	Misc	`conf`	Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming. FLAIRS Richard A. Bauder, Taghi M. Khoshgoftaar
2016	Misc	`conf`	A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper). IRI Richard A. Bauder, Taghi M. Khoshgoftaar
2016	C	`conf`	A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims. ICMLA Richard A. Bauder, Taghi M. Khoshgoftaar
2016	B	`conf`	Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims. ICTAI Richard A. Bauder, Taghi M. Khoshgoftaar, Aaron N. Richter, Matthew Herland