Artykuły udostępnione publicznie: - Richard A. Bauder, PhDWięcej informacji
Niedostępne w żadnym miejscu: 15
Medicare fraud detection using machine learning methods
RA Bauder, TM Khoshgoftaar
2017 16th IEEE international conference on machine learning and applications …, 2017
Upoważnienia: US National Science Foundation
Medicare fraud detection using random forest with class imbalanced big data
R Bauder, T Khoshgoftaar
2018 IEEE international conference on information reuse and integration (IRI …, 2018
Upoważnienia: US National Science Foundation
Predicting medical provider specialties to detect anomalous insurance claims
RA Bauder, TM Khoshgoftaar, A Richter, M Herland
2016 IEEE 28th international conference on tools with artificial …, 2016
Upoważnienia: US National Science Foundation
A novel method for fraudulent medicare claims detection from expected payment deviations (application paper)
RA Bauder, TM Khoshgoftaar
2016 IEEE 17th international conference on information reuse and integration …, 2016
Upoważnienia: US National Science Foundation
Data sampling approaches with severely imbalanced big data for medicare fraud detection
RA Bauder, TM Khoshgoftaar, T Hasanin
2018 IEEE 30th international conference on tools with artificial …, 2018
Upoważnienia: US National Science Foundation
An empirical study on class rarity in big data
RA Bauder, TM Khoshgoftaar, T Hasanin
2018 17th IEEE international conference on machine learning and applications …, 2018
Upoważnienia: US National Science Foundation
A probabilistic programming approach for outlier detection in healthcare claims
RA Bauder, TM Khoshgoftaar
2016 15th IEEE international conference on machine learning and applications …, 2016
Upoważnienia: US National Science Foundation
Multivariate outlier detection in medicare claims payments applying probabilistic programming methods
RA Bauder, TM Khoshgoftaar
Health Services and Outcomes Research Methodology 17, 256-289, 2017
Upoważnienia: US National Science Foundation
Medical provider specialty predictions for the detection of anomalous medicare insurance claims
M Herland, RA Bauder, TM Khoshgoftaar
2017 IEEE international conference on information reuse and integration (IRI …, 2017
Upoważnienia: US National Science Foundation
A survey of medicare data processing and integration for fraud detection
R Bauder, T Khoshgoftaar
2018 IEEE international conference on information reuse and integration (IRI …, 2018
Upoważnienia: US National Science Foundation
Approaches for identifying US medicare fraud in provider claims data
M Herland, RA Bauder, TM Khoshgoftaar
Health care management science 23, 2-19, 2020
Upoważnienia: US National Science Foundation
Evaluating model predictive performance: A medicare fraud detection case study
RA Bauder, M Herland, TM Khoshgoftaar
2019 IEEE 20th International Conference on Information Reuse and Integration …, 2019
Upoważnienia: US National Science Foundation
Estimating outlier score probabilities
RA Bauder, TM Khoshgoftaar
2017 IEEE international conference on information reuse and integration (IRI …, 2017
Upoważnienia: US National Science Foundation
Big data and class imbalance in medicare fraud detection
RA Bauder, TM Khoshgoftaar
Reuse in Intelligent Systems, 62-86, 2020
Upoważnienia: US National Science Foundation
Experimental studies on the impact of data sampling with severely imbalanced big data
T Hasanin, TM Khoshgoftaar, RA Bauder
Reuse in intelligent systems, 1-32, 2020
Upoważnienia: US National Science Foundation
Dostępne w jakimś miejscu: 12
A survey on addressing high-class imbalance in big data
JL Leevy, TM Khoshgoftaar, RA Bauder, N Seliya
Journal of Big Data 5 (1), 1-30, 2018
Upoważnienia: US National Science Foundation
Big data fraud detection using multiple medicare data sources
M Herland, TM Khoshgoftaar, RA Bauder
Journal of Big Data 5 (1), 1-21, 2018
Upoważnienia: US National Science Foundation
Severely imbalanced big data challenges: investigating data sampling approaches
T Hasanin, TM Khoshgoftaar, JL Leevy, RA Bauder
Journal of Big Data 6 (1), 1-25, 2019
Upoważnienia: US National Science Foundation
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data
RA Bauder, TM Khoshgoftaar
Health information science and systems 6, 1-14, 2018
Upoważnienia: US National Science Foundation
Identifying medicare provider fraud with unsupervised machine learning
R Bauder, R Da Rosa, T Khoshgoftaar
2018 IEEE international conference on information Reuse and integration (IRI …, 2018
Upoważnienia: US National Science Foundation
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