Using Synthetic Gaussian Noise to Explore Stochastic Resonance in Cancer Subtype Classification

Stochastic resonance (SR) allows models to detect weak signals or features that might otherwise be lost in noise, thereby improving the classification performance in Artificial Intelligence (AI) models. This study represents one of the first applications of SR in enhancing AI-driven cancer diagnosti...

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Bibliografski detalji

Glavni autor:	William Liang
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Access
Teme:	Classification Gaussian noise gene expression feature selection machine learning stochastic resonance
Online pristup:	https://ieeexplore.ieee.org/document/10876139/
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