Остановите войну!
for scientists:
default search action
Justin M. Johnson
Person information
- affiliation: Florida Atlantic University, Boca Raton, FL, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [j10]Justin M. Johnson, Robert K. L. Kennedy, Taghi M. Khoshgoftaar:
Learning from Highly Imbalanced Big Data with Label Noise. Int. J. Artif. Intell. Tools 32(5): 2360003:1-2360003:20 (2023) - [j9]John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson:
Evaluating classifier performance with highly imbalanced Big Data. J. Big Data 10(1): 42 (2023) - [j8]Joffrey L. Leevy, Justin M. Johnson, John T. Hancock, Taghi M. Khoshgoftaar:
Threshold optimization and random undersampling for imbalanced credit card data. J. Big Data 10(1): 58 (2023) - [j7]Justin M. Johnson, Taghi M. Khoshgoftaar:
Data-Centric AI for Healthcare Fraud Detection. SN Comput. Sci. 4(4): 389 (2023) - 2022
- [j6]Justin M. Johnson, Taghi M. Khoshgoftaar:
A Survey on Classifying Big Data with Label Noise. ACM J. Data Inf. Qual. 14(4): 23:1-23:43 (2022) - [j5]Justin M. Johnson, Taghi M. Khoshgoftaar:
Encoding High-Dimensional Procedure Codes for Healthcare Fraud Detection. SN Comput. Sci. 3(5): 362 (2022) - [c14]John T. Hancock, Justin M. Johnson, Taghi M. Khoshgoftaar:
A Comparative Approach to Threshold Optimization for Classifying Imbalanced Data. CIC 2022: 135-142 - [c13]John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson:
Informative Evaluation Metrics for Highly Imbalanced Big Data Classification. ICMLA 2022: 1419-1426 - [c12]Justin M. Johnson, Taghi M. Khoshgoftaar:
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification. ICMLA 2022: 1427-1434 - [c11]Rick Sauber-Cole, Taghi M. Khoshgoftaar, Justin M. Johnson:
GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects. ICTAI 2022: 1419-1424 - [c10]Justin M. Johnson, Taghi M. Khoshgoftaar:
Healthcare Provider Summary Data for Fraud Classification. IRI 2022: 236-242 - [c9]John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson:
The Effects of Random Undersampling for Big Data Medicare Fraud Detection. SOSE 2022: 141-146 - 2021
- [j4]Justin M. Johnson, Taghi M. Khoshgoftaar:
Medical Provider Embeddings for Healthcare Fraud Detection. SN Comput. Sci. 2(4): 276 (2021) - [c8]Justin M. Johnson, Taghi M. Khoshgoftaar:
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data. ICMLA 2021: 1182-1188 - [c7]Robert K. L. Kennedy, Justin M. Johnson, Taghi M. Khoshgoftaar:
The Effects of Class Label Noise on Highly-Imbalanced Big Data. ICTAI 2021: 1427-1433 - [c6]Justin M. Johnson, Taghi M. Khoshgoftaar:
Output Thresholding for Ensemble Learners and Imbalanced Big Data. ICTAI 2021: 1449-1454 - [c5]Justin M. Johnson, Taghi M. Khoshgoftaar:
Encoding Techniques for High-Cardinality Features and Ensemble Learners. IRI 2021: 355-361 - 2020
- [j3]Justin M. Johnson, Taghi M. Khoshgoftaar:
The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data. Inf. Syst. Frontiers 22(5): 1113-1131 (2020) - [c4]Justin M. Johnson, Taghi M. Khoshgoftaar:
Hcpcs2Vec: Healthcare Procedure Embeddings for Medicare Fraud Prediction. CIC 2020: 145-152 - [c3]Justin M. Johnson, Taghi M. Khoshgoftaar:
Semantic Embeddings for Medical Providers and Fraud Detection. IRI 2020: 224-230
2010 – 2019
- 2019
- [j2]Justin M. Johnson, Taghi M. Khoshgoftaar:
Survey on deep learning with class imbalance. J. Big Data 6: 27 (2019) - [j1]Justin M. Johnson, Taghi M. Khoshgoftaar:
Medicare fraud detection using neural networks. J. Big Data 6: 63 (2019) - [c2]Justin M. Johnson, Taghi M. Khoshgoftaar:
Deep Learning and Thresholding with Class-Imbalanced Big Data. ICMLA 2019: 755-762 - [c1]Justin M. Johnson, Taghi M. Khoshgoftaar:
Deep Learning and Data Sampling with Imbalanced Big Data. IRI 2019: 175-183
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 2023-09-27 22:52 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint