CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction

Author:

Ren Siyuan1ORCID,Guo Bin1ORCID,Li Ke1,Wang Qianru1,Yu Zhiwen1ORCID,Cao Longbing2ORCID

Affiliation:

1. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. Advanced Analytics Institute, University of Technology Sydney, Sydney, NSW, Australia

Funder

National Key Research and Development Program of China

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference47 articles.

1. A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction

2. Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System

3. Attention is all you need;vaswani;Advances in neural information processing systems,2017

4. CLVSA: A convolutional LSTM based variational sequence-to-sequence model with attention for predicting trends of financial markets;wang;arXiv 2104 04041,2021

5. EA-LSTM: Evolutionary attention-based LSTM for time series prediction

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