Explainable time-frequency convolutional neural network for microseismic waveform classification
type: Item
instance of: scholarly article
title: Explainable time-frequency convolutional neural network for microseismic waveform classification
zbMATH Open document ID: 1475.86002
author: Yanyan Li
published in: Information Sciences
publication date: 2021-12-01T00:00:00Z
Mathematics Subject Classification ID: 86A15
Mathematics Subject Classification ID: 86-08
Mathematics Subject Classification ID: 74L10
zbMATH DE Number: 7436888
zbMATH Keywords: explainable convolutional neural network
zbMATH Keywords: time-series classification
zbMATH Keywords: microseismic waveform
describes a project that uses: Grad-CAM
describes a project that uses: DBA
MaRDI profile type: Publication
full work available at URL: j.ins.2020.08.109
OpenAlex ID: W3083046978
cites work: Interpretable regularized class association rules algorithm for classification in a categorical data space
cites work: Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification
cites work: A practical guide to splines
cites work: Convolutional neural network learning for generic data classification
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Time series classification with ensembles of elastic distance measures
cites work: Early classification of time series using multi-objective optimization techniques
DOI: 10.1016/J.INS.2020.08.109
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description: scientific article; zbMATH DE number 7436888