Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data. [PDF]
Stat MedKhadem Charvadeh Y +5 more
europepmc +1 more source
A Missing Traffic Data Imputation Method Based on a Diffusion Convolutional Neural Network-Generative Adversarial Network. [PDF]
Sensors (Basel), 2023 Zhang C, Zhou L, Xiao X, Xu D.
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Self-Attention-Based Deep Learning for Missing Sensor Data Imputation in Real-Time Probe Card Monitoring. [PDF]
Sensors (Basel)Bejani M, Mauri M, Mariani S.
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Discounting of delayed rewards: Missing data imputation for the 21- and 27-item monetary choice questionnaires. [PDF]
PLoS One, 2023 Yeh YH +5 more
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Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models. [PDF]
Stat MedMi J +4 more
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Box-meter integrated solution for power data imputation through device design and deep learning integration. [PDF]
Sci RepGao C, Lin H, Lin Y.
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A Comparison of Price Imputation Methods under Large Samples and Different Levels of Censoring.
Consumer/Household Economics, Demand and Price Analysis, Research Methods/ Statistical Methods, imputation methods, multiple imputation, censored prices, protein demand, elasticities,
Lopez, Jose Antonio
core
A self-supervised framework for laboratory data imputation in electronic health records. [PDF]
Commun Med (Lond)Heilbroner SP +5 more
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Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices. [PDF]
PLoS OneKoczkodaj WW +3 more
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Transmogrified Imputation Algorithm for Clustering Data in Missing Data Imputation
International Journal for Research in Applied Science and Engineering Technology, 2019 openaire +1 more source