DTIN: Dual Transformer-based Imputation Nets for multivariate time series emitter missing data

Ziyue Sun; Yinlong Li; Wenhai Wang; Jiaqi Liu; Xinggao Liu

doi:10.1016/j.knosys.2023.111270

ScienceGate Book Chapters

JOURNAL ARTICLE

DTIN: Dual Transformer-based Imputation Nets for multivariate time series emitter missing data

Ziyue Sun Yinlong Li Wenhai Wang Jiaqi Liu Xinggao Liu

Year: 2023 Journal: Knowledge-Based Systems Vol: 284 Pages: 111270-111270 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2023.111270

Get Full-Text PDF Get Analytical Report

Keywords:

Imputation (statistics) Common emitter Missing data Multivariate statistics Computer science Data mining Time domain Algorithm Artificial intelligence Machine learning Electronic engineering Engineering

Metrics

Cited By

4.56

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Metabolomics and Mass Spectrometry Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

DTIN: Dual Transformer-based Imputation Nets for multivariate time series emitter missing data

Metrics

Citation History

Topics

Related Documents

Multivariate Time-Series Missing Data Imputation with Convolutional Transformer Model

Missing Data Imputation in Multivariate Time Series Data

Cross-modal missing time-series imputation using dense spatio-temporal transformer nets

Research on multivariate time series prediction method based on missing data imputation

Heterogeneous multivariate time series imputation by transformer model with missing position encoding