OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Output Thresholding for Ensemble Learners and Imbalanced Big Data
Justin Johnson, Taghi M. Khoshgoftaar
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (2021), pp. 1449-1454
Closed Access | Times Cited: 5
Justin Johnson, Taghi M. Khoshgoftaar
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (2021), pp. 1449-1454
Closed Access | Times Cited: 5
Showing 5 citing articles:
Data-Centric AI for Healthcare Fraud Detection
Justin Johnson, Taghi M. Khoshgoftaar
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 30
Justin Johnson, Taghi M. Khoshgoftaar
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 30
Threshold optimization and random undersampling for imbalanced credit card data
Joffrey L. Leevy, Justin Johnson, John Hancock, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 19
Joffrey L. Leevy, Justin Johnson, John Hancock, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 19
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification
Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 1427-1434
Closed Access | Times Cited: 4
Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 1427-1434
Closed Access | Times Cited: 4
Healthcare Provider Summary Data for Fraud Classification
Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 236-242
Closed Access | Times Cited: 3
Justin Johnson, Taghi M. Khoshgoftaar
(2022), pp. 236-242
Closed Access | Times Cited: 3
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data
Justin Johnson, Taghi M. Khoshgoftaar
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 1182-1188
Closed Access | Times Cited: 3
Justin Johnson, Taghi M. Khoshgoftaar
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 1182-1188
Closed Access | Times Cited: 3
