default search action
Richard A. Bauder
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2018
- [b1]Richard A. Bauder:
Machine Learning Algorithms with Big Medicare Fraud Data. Florida Atlantic University, Boca Raton, USA, 2018
Journal Articles
- 2023
- [j9]John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar:
Explainable machine learning models for Medicare fraud detection. J. Big Data 10(1): 154 (2023) - 2020
- [j8]Richard A. Bauder, Taghi M. Khoshgoftaar:
A study on rare fraud predictions with big Medicare claims fraud data. Intell. Data Anal. 24(1): 141-161 (2020) - [j7]Tawfiq Hasanin
, Taghi M. Khoshgoftaar, Joffrey L. Leevy
Investigating class rarity in big data. J. Big Data 7(1): 23 (2020) - [j6]Joffrey L. Leevy
Investigating the relationship between time and predictive model maintenance. J. Big Data 7(1): 36 (2020) - 2019
- [j5]Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar:
The effects of class rarity on the evaluation of supervised healthcare fraud detection models. J. Big Data 6: 21 (2019) - [j4]Tawfiq Hasanin
Severely imbalanced Big Data challenges: investigating data sampling approaches. J. Big Data 6: 107 (2019) - 2018
- [j3]Richard A. Bauder, Taghi M. Khoshgoftaar:
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data. Health Inf. Sci. Syst. 6(1): 9 (2018) - [j2]Matthew Herland, Taghi M. Khoshgoftaar, Richard A. Bauder:
Big Data fraud detection using multiple medicare data sources. J. Big Data 5: 29 (2018) - [j1]Joffrey L. Leevy
A survey on addressing high-class imbalance in big data. J. Big Data 5: 42 (2018)
Conference and Workshop Papers
- 2023
- [c17]John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar:
A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. ICTAI 2023: 92-98 - 2019
- [c16]Joffrey L. Leevy
The Effect of Time on the Maintenance of a Predictive Model. ICMLA 2019: 1891-1896 - [c15]Richard A. Bauder, Matthew Herland, Taghi M. Khoshgoftaar:
Evaluating Model Predictive Performance: A Medicare Fraud Detection Case Study. IRI 2019: 9-14 - 2018
- [c14]Richard A. Bauder, Taghi M. Khoshgoftaar, Amri Napolitano:
Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers. FLAIRS 2018: 299-304 - [c13]Richard A. Bauder, Taghi M. Khoshgoftaar:
The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels. FLAIRS 2018: 404-409 - [c12]Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin
An Empirical Study on Class Rarity in Big Data. ICMLA 2018: 785-790 - [c11]Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin
Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. ICTAI 2018: 137-142 - [c10]Richard A. Bauder, Taghi M. Khoshgoftaar:
A Survey of Medicare Data Processing and Integration for Fraud Detection. IRI 2018: 9-14 - [c9]Richard A. Bauder, Taghi M. Khoshgoftaar:
Medicare Fraud Detection Using Random Forest with Class Imbalanced Big Data. IRI 2018: 80-87 - [c8]Richard A. Bauder, Raquel da Rosa, Taghi M. Khoshgoftaar:
Identifying Medicare Provider Fraud with Unsupervised Machine Learning. IRI 2018: 285-292 - 2017
- [c7]Richard A. Bauder, Taghi M. Khoshgoftaar:
Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming. FLAIRS 2017: 417-422 - [c6]Richard A. Bauder, Taghi M. Khoshgoftaar:
Medicare Fraud Detection Using Machine Learning Methods. ICMLA 2017: 858-865 - [c5]Richard A. Bauder, Taghi M. Khoshgoftaar:
Estimating Outlier Score Probabilities. IRI 2017: 559-568 - [c4]Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar:
Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims. IRI 2017: 579-588 - 2016
- [c3]Richard A. Bauder, Taghi M. Khoshgoftaar:
A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims. ICMLA 2016: 347-354 - [c2]Richard A. Bauder, Taghi M. Khoshgoftaar, Aaron N. Richter, Matthew Herland:
Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims. ICTAI 2016: 784-790 - [c1]Richard A. Bauder, Taghi M. Khoshgoftaar:
A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper). IRI 2016: 11-19
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: