MIDIA: exploring denoising autoencoders for missing data imputation

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49.7K citations

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Rectified Linear Units Improve Restricted Boltzmann Machines

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Understanding the difficulty of training deep feedforward neural networks

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Extracting and composing robust features with denoising autoencoders

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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Jonathan A C Sterne, Ian R. White, John B. Carlin et al. · BMJ · 2009 · 7.2K citations · Full text

Public Health, Biostatistics, Clinical Epidemiology +16