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Cornelio Yáñez-Márquéz

ورقتان في مجموعة PaperMetrix

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Improving the Performance of an Associative Classifier in the Context of Class-Imbalanced Classification

2021 · Electronics

Class imbalance remains an open problem in pattern recognition, machine learning, and related fields. Many of the state-of-the-art classification algorithms tend to classify all unbalanced dataset patterns by assigning them to a majority class, thus …
Exploring KANs: Theory and Applications for Binary Classification

2024

The lack of transparency and clarity in AI decisionmaking poses challenges of ethics and trust. This article presents$K A N$, a class of networks developed by Ziming Liu among other researchers recently based on the …