306 related articles for article (PubMed ID: 29666385)
1. Recurrent Neural Networks for Multivariate Time Series with Missing Values.
Che Z; Purushotham S; Cho K; Sontag D; Liu Y
Sci Rep; 2018 Apr; 8(1):6085. PubMed ID: 29666385
[TBL] [Abstract][Full Text] [Related]
2. Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.
Ma Q; Li S; Cottrell GW
IEEE Trans Pattern Anal Mach Intell; 2022 Apr; 44(4):1765-1776. PubMed ID: 32997624
[TBL] [Abstract][Full Text] [Related]
3. Attention-Based Sequence-to-Sequence Model for Time Series Imputation.
Li Y; Du M; He S
Entropy (Basel); 2022 Dec; 24(12):. PubMed ID: 36554203
[TBL] [Abstract][Full Text] [Related]
4. CGCNImp: a causal graph convolutional network for multivariate time series imputation.
Liu C; Cui G; Liu S
PeerJ Comput Sci; 2022; 8():e966. PubMed ID: 35634128
[TBL] [Abstract][Full Text] [Related]
5. In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables.
Kim M; Kim TH; Kim D; Lee D; Kim D; Heo J; Kang S; Ha T; Kim J; Moon DH; Heo Y; Kim WJ; Lee SJ; Kim Y; Park SW; Han SS; Choi HS
J Clin Med; 2023 Dec; 13(1):. PubMed ID: 38202043
[TBL] [Abstract][Full Text] [Related]
6. End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.
Ma Q; Li S; Shen L; Wang J; Wei J; Yu Z; Cottrell GW
IEEE Trans Cybern; 2020 Dec; 50(12):4908-4920. PubMed ID: 30990205
[TBL] [Abstract][Full Text] [Related]
7. CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data.
Ghazi MM; Sorensen L; Ourselin S; Nielsen M
IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35666790
[TBL] [Abstract][Full Text] [Related]
8. Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients.
Zeng Z; Liu Y; Yao S; Liu J; Xiao B; Liu C; Gong X
Digit Health; 2023; 9():20552076231171482. PubMed ID: 37179744
[TBL] [Abstract][Full Text] [Related]
9. Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series.
Mulyadi AW; Jun E; Suk HI
IEEE Trans Cybern; 2022 Sep; 52(9):9684-9694. PubMed ID: 33661746
[TBL] [Abstract][Full Text] [Related]
10. Adversarial Recurrent Time Series Imputation.
Yang S; Dong M; Wang Y; Xu C
IEEE Trans Neural Netw Learn Syst; 2023 Apr; 34(4):1639-1650. PubMed ID: 32749970
[TBL] [Abstract][Full Text] [Related]
11. GRU-D-Weibull: A novel real-time individualized endpoint prediction.
Ruan X; Wang L; Thongprayoon C; Cheungpasitporn W; Liu H
Artif Intell Med; 2023 Dec; 146():102696. PubMed ID: 38042597
[TBL] [Abstract][Full Text] [Related]
12. BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.
Wang Q; Chen G; Jin X; Ren S; Wang G; Cao L; Xia Y
Comput Biol Med; 2023 Mar; 155():106586. PubMed ID: 36774888
[TBL] [Abstract][Full Text] [Related]
13. Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction.
Jun E; Mulyadi AW; Choi J; Suk HI
IEEE Trans Neural Netw Learn Syst; 2021 Sep; 32(9):4052-4062. PubMed ID: 32841128
[TBL] [Abstract][Full Text] [Related]
14. ContrAttNet: Contribution and attention approach to multivariate time-series data imputation.
Yin Y; Huang C; Bao X
Network; 2024 Jun; ():1-24. PubMed ID: 38828665
[TBL] [Abstract][Full Text] [Related]
15. Deep imputation of missing values in time series health data: A review with benchmarking.
Kazijevs M; Samad MD
J Biomed Inform; 2023 Aug; 144():104440. PubMed ID: 37429511
[TBL] [Abstract][Full Text] [Related]
16. Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework.
Samad MD; Abrar S; Diawara N
Knowl Based Syst; 2022 Aug; 249():. PubMed ID: 36159738
[TBL] [Abstract][Full Text] [Related]
17. Robust imputation method with context-aware voting ensemble model for management of water-quality data.
Choi J; Lim KJ; Ji B
Water Res; 2023 Sep; 243():120369. PubMed ID: 37499538
[TBL] [Abstract][Full Text] [Related]
18. A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Bernardini M; Doinychko A; Romeo L; Frontoni E; Amini MR
Comput Biol Med; 2023 Sep; 163():107188. PubMed ID: 37393785
[TBL] [Abstract][Full Text] [Related]
19. A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.
Liu M; Stella F; Hommersom A; Lucas PJF; Boer L; Bischoff E
Artif Intell Med; 2019 Apr; 95():104-117. PubMed ID: 30683464
[TBL] [Abstract][Full Text] [Related]
20. An Accurate GRU-Based Power Time-Series Prediction Approach With Selective State Updating and Stochastic Optimization.
Zheng W; Chen G
IEEE Trans Cybern; 2022 Dec; 52(12):13902-13914. PubMed ID: 34731085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]