Unified time series classification framework for explainable artificial intelligence

Abstract The growing complexity of machine learning (ML) models has made their decision-making processes increasingly opaque, posing a critical challenge in high-stakes domains where trust, transparency, and accountability are essential. While Explainable Artificial Intelligence (XAI) techniques att...

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Detalles Bibliográficos

Principais autores:	Hendrio Bragança, Eduardo Souto
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2026-04-01
Series:	Scientific Reports
Assuntos:	Explainable artificial intelligence (XAI) Explainable time series Time series classification Signal processing Healthcare
Acceso en liña:	https://doi.org/10.1038/s41598-026-49467-2
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