7 citations · 8 across the 3 of their papers we have counts for
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cs.LG2022★ 7 cited
An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification
Asif Newaz, Shahriar Hassan, Farhan Shahriyar Haq
Learning from imbalanced data is a challenging task. Standard classification algorithms tend to perform poorly when trained on imbalanced data. Some special strategies need to be a…
cs.LG2022
A Novel Hybrid Sampling Framework for Imbalanced Learning
Asif Newaz, Farhan Shahriyar Haq
Class imbalance is a frequently occurring scenario in classification tasks. Learning from imbalanced data poses a major challenge, which has instigated a lot of research in this ar…