Justin M. Johnson

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 24

Top Topics

Highly Imbalanced

Top Venues

SN Comput. Sci.

Publications

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) (2023)
Justin M. Johnson, Taghi M. Khoshgoftaar
Data-Centric AI for Healthcare Fraud Detection. SN Comput. Sci. 4 (4) (2023)
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) (2023)
John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
Evaluating classifier performance with highly imbalanced Big Data. J. Big Data 10 (1) (2023)
Justin M. Johnson, Taghi M. Khoshgoftaar
Healthcare Provider Summary Data for Fraud Classification. IRI (2022)
John T. Hancock, Justin M. Johnson, Taghi M. Khoshgoftaar
A Comparative Approach to Threshold Optimization for Classifying Imbalanced Data. CIC (2022)
Rick Sauber-Cole, Taghi M. Khoshgoftaar, Justin M. Johnson
GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects. ICTAI (2022)
John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
The Effects of Random Undersampling for Big Data Medicare Fraud Detection. SOSE (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification. ICMLA (2022)
John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
Informative Evaluation Metrics for Highly Imbalanced Big Data Classification. ICMLA (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
A Survey on Classifying Big Data with Label Noise. ACM J. Data Inf. Qual. 14 (4) (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Encoding High-Dimensional Procedure Codes for Healthcare Fraud Detection. SN Comput. Sci. 3 (5) (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Medical Provider Embeddings for Healthcare Fraud Detection. SN Comput. Sci. 2 (4) (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Output Thresholding for Ensemble Learners and Imbalanced Big Data. ICTAI (2021)
Robert K. L. Kennedy, Justin M. Johnson, Taghi M. Khoshgoftaar
The Effects of Class Label Noise on Highly-Imbalanced Big Data. ICTAI (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Encoding Techniques for High-Cardinality Features and Ensemble Learners. IRI (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data. ICMLA (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Semantic Embeddings for Medical Providers and Fraud Detection. IRI (2020)
Justin M. Johnson, Taghi M. Khoshgoftaar
The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data. Inf. Syst. Frontiers 22 (5) (2020)
Justin M. Johnson, Taghi M. Khoshgoftaar
Hcpcs2Vec: Healthcare Procedure Embeddings for Medicare Fraud Prediction. CIC (2020)
Justin M. Johnson, Taghi M. Khoshgoftaar
Survey on deep learning with class imbalance. J. Big Data 6 (2019)
Justin M. Johnson, Taghi M. Khoshgoftaar
Medicare fraud detection using neural networks. J. Big Data 6 (2019)
Justin M. Johnson, Taghi M. Khoshgoftaar
Deep Learning and Data Sampling with Imbalanced Big Data. IRI (2019)
Justin M. Johnson, Taghi M. Khoshgoftaar
Deep Learning and Thresholding with Class-Imbalanced Big Data. ICMLA (2019)