ProtoPGTN: A Scalable Prototype-Based Gated Transformer Network for Interpretable Time Series Classification

Time Series Classification (TSC) plays a crucial role in machine learning applications across domains such as healthcare, finance, and industrial systems. In these domains, TSC requires accurate predictions and reliable explanations, as misclassifications may lead to severe consequences. In addition...

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Detalhes bibliográficos

Principais autores:	Jinjin Huang, Ce Guo, Wayne Luk
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-12-01
coleção:	Information
Assuntos:	explainable AI time series classification prototype-based interpretability scalability memory training time
Acesso em linha:	https://www.mdpi.com/2078-2489/16/12/1056
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