Search Results - "Data imputation" :: K.UTB vyhledávací portál

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DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation

by Choi, Joung Min, Ji, Ming, Watson, Layne T, Zhang, Liqing
Published in Bioinformatics (Oxford, England) (04.05.2023)

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Missing Data Imputation versus Full Information Maximum Likelihood with Second-Level Dependencies

by Larsen, Ross
Published in Structural equation modeling (01.01.2011)

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An Enhanced Generative Adversarial Imputation Network With Unsupervised Learning for Random Missing Data Imputation of All Sensors

by Xie, Xin, Lei, Ying, Xiang, Chunyan, Li, Yixian, Liu, Lijun
Published in Structural control and health monitoring (01.01.2025)

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A review of the current publication trends on missing data imputation over three decades: direction and future research

by Adnan, Farah Adibah, Jamaludin, Khairur Rijal, Wan Muhamad, Wan Zuki Azman, Miskon, Suraya
Published in Neural computing & applications (01.11.2022)

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Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

by Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Cho, Ha Na, Choi, Heejung, Jun, Tae Joon, Kim, Young-Hak
Published in JMIR public health and surveillance (01.10.2021)

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Solving the incomplete data problem in Greco-Latin square experimental design by exact-scheme analysis of variance without data imputation

by Sirikasemsuk, Kittiwat, Wongsriya, Sirilak, Leerojanaprapa, Kanogkan
Published in AIMS mathematics (01.01.2024)

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New Trends in Evidence-based Statistics: Data Imputation Problems

by Kovtun, N. V., Fataliieva, A.-N. Ya
Published in Statistika Ukraïni (12.03.2020)

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An Empirical Mode-Spatial Model for Environmental Data Imputation

by Nelsen, Benjamin, Williams, D. Alexandra, Williams, Gustavious P., Berrett, Candace
Published in Hydrology (01.12.2018)

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Multivariate longitudinal data analysis with censored and intermittent missing responses

by Lin, Tsung‐I, Lachos, Victor H., Wang, Wan‐Lun
Published in Statistics in medicine (30.08.2018)

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Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

by Thung, Kim-Han, Yap, Pew-Thian, Adeli, Ehsan, Lee, Seong-Whan, Shen, Dinggang
Published in Medical image analysis (01.04.2018)

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Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones

by Chen, Oliver Y., Lipsmeier, Florian, Phan, Huy, Dondelinger, Frank, Creagh, Andrew, Gossens, Christian, Lindemann, Michael, de Vos, Maarten
Published in IEEE journal of biomedical and health informatics (01.07.2023)

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Ensemble averaging for categorical variables: Validation study of imputing lost data in 24-h recorded postures of inpatients

by Ogasawara, Takayuki, Mukaino, Masahiko, Matsuura, Hirotaka, Aoshima, Yasushi, Suzuki, Takuya, Togo, Hiroyoshi, Nakashima, Hiroshi, Saitoh, Eiichi, Yamaguchi, Masumi, Otaka, Yohei, Tsukada, Shingo
Published in Frontiers in physiology (26.01.2023)

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Combining Multiple Imputation and Inverse‐Probability Weighting

by Seaman, Shaun R., White, Ian R., Copas, Andrew J., Li, Leah
Published in Biometrics (01.03.2012)

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Missing phenotype data imputation in pedigree data analysis

by Fridley, Brooke L., de Andrade, Mariza
Published in Genetic epidemiology (01.01.2008)

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Discordance minimization-based imputation algorithms for missing values in rating data

by Park, Young Woong, Kim, Jinhak, Zhu, Dan
Published in Machine learning (01.01.2024)

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Implementing an enhanced self-attention-based imputation for time series on missing industrial load data

by Li, Jiayi, Zhao, Bing, Liu, Xingqi
Year of Publication 16.10.2024

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Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation

by Zhang, Zhaoyang, Chen, Ziqi, Liu, Qiao, Xie, Jinhan, Zhu, Hongtu
Year of Publication 07.11.2024

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Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey

by Peyre, Hugo, Leplège, Alain, Coste, Joël
Published in Quality of life research (01.03.2011)

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Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation

by Wei, Hui, Xu, Maxwell A, Samplawski, Colin, Rehg, James M, Kumar, Santosh, Marlin, Benjamin M
Published in Proceedings of machine learning research (01.06.2024)

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Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation

by Wei, Hui, Xu, Maxwell A, Samplawski, Colin, Rehg, James M, Kumar, Santosh, Marlin, Benjamin M
Year of Publication 26.06.2024

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