Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism
- 20 March 2019
- book chapter
- Published by Springer Nature
- p. 541-553
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network2018
- Mining Significant Microblogs for Misinformation IdentificationACM Transactions on Intelligent Systems and Technology, 2018
- A visual attention based convolutional neural network for image classification2016
- "Why Should I Trust You?"2016
- Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes2015
- Learning time-series shapelets2014
- Fast Time Series Classification Based on Infrequent Shapelets2012
- Early classification of multivariate time series using a hybrid HMM/SVM model2012
- A dual-stage two-phase model of selective attention.Psychological Review, 2010
- Querying and mining of time series dataProceedings of the VLDB Endowment, 2008