Recurrent Imputation for Multivariate Time Series with Missing Values

被引：14
|
作者：
Suo, Qiuling [1 ]
Yao, Liuyi [1 ]
Xun, Guangxu [2 ]
Sun, Jianhui [2 ]
Zhang, Aidong [2 ]
机构：
[1] SUNY Buffalo, Dept Comp Sci & Engn, Buffalo, NY 14260 USA
[2] Univ Virginia, Dept Comp Sci, Charlottesville, VA USA
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI) | 2019年
关键词：
D O I：
10.1109/ichi.2019.8904638
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：562 / 564
页数：3
相关论文
共 50 条
  • [41] Missing Data Imputation in Time Series of Air Pollution
    Junger, Washington
    de Leon, Antonio Ponce
    [J]. EPIDEMIOLOGY, 2009, 20 (06) : S87 - S87
  • [42] DTIN: Dual Transformer-based Imputation Nets for multivariate time series emitter missing data
    Sun, Ziyue
    Li, Haozhe
    Wang, Wenhai
    Liu, Jiaqi
    Liu, Xinggao
    [J]. KNOWLEDGE-BASED SYSTEMS, 2024, 284
  • [43] Imputation of missing data in time series for air pollutants
    Junger, W. L.
    de Leon, A. Ponce
    [J]. ATMOSPHERIC ENVIRONMENT, 2015, 102 : 96 - 104
  • [44] Variational auto-encoders based on the shift correction for imputation of specific missing in multivariate time series
    Li, Junying
    Ren, Weijie
    Han, Min
    [J]. MEASUREMENT, 2021, 186
  • [45] Missing Data Imputation in Time Series by Evolutionary Algorithms
    Figueroa Garcia, Juan C.
    Kalenatic, Dusko
    Lopez Bello, Cesar Amilcar
    [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2008, 5227 : 275 - +
  • [46] An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series
    Wang, Xu
    Zhang, Hongbo
    Wang, Pengkun
    Zhang, Yudong
    Wang, Binwu
    Zhou, Zhengyang
    Wang, Yang
    [J]. PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, 2023, : 2409 - 2418
  • [47] Multiple imputation of missing values
    Royston, Patrick
    [J]. STATA JOURNAL, 2004, 4 (03): : 227 - 241
  • [48] Sequential imputation for missing values
    Verboven, Sabine
    Branden, Karlien Vanden
    Goos, Peter
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2007, 31 (5-6) : 320 - 327
  • [49] Multivariate Time Series Imputation with Generative Adversarial Networks
    Luo, Yonghong
    Cai, Xiangrui
    Zhang, Ying
    Xu, Jun
    Yuan, Xiaojie
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [50] Time Series Forecasting with Missing Values
    Wu, Shin-Fu
    Chang, Chia-Yung
    Lee, Shie-Jue
    [J]. 2015 1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL NETWORKS AND INTELLIGENT SYSTEMS (INISCOM), 2015, : 151 - 156
12345