Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.
Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.
Justin M. Johnson, Robert K. L. Kennedy, Taghi M. Khoshgoftaar. Learning from Highly Imbalanced Big Data with Label Noise. International Journal on Artificial Intelligence Tools, 32(5), August 2023. [doi]
Possibly Related PublicationsThe following publications are possibly variants of this publication: The Effects of Class Label Noise on Highly-Imbalanced Big DataRobert K. L. Kennedy, Justin M. Johnson, Taghi M. Khoshgoftaar. ictai 2021: 1427-1433 [doi] Learning from Software Quality Data with Class Imbalance and NoiseAndres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert. seke 2007: 487 The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big DataJustin M. Johnson, Taghi M. Khoshgoftaar. isf, 22(5):1113-1131, 2020. [doi]
The following publications are possibly variants of this publication: