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Sparse and irregularly sampled multivariate time series are common in clinical, climate, financial and many other domains.
Recurrent neural networks for missing or asynchronous data
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Long short-term memory
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Machine learning and data mining
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A gentle introduction to imputation of missing values
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Pattern classification with missing data: a review
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Deep neural networks for acoustic modeling in speech recognition
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Brian Kingsbury, et al · 2012
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Missing data in medical databases: Impute, delete or classify?
Federico Cismondi, André S Fialho, Susana M Vieira, Shane R Reti, JoãO MC Sousa, and Stan N Finkelstein · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
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Fast classification of handwritten on-line arabic characters
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A scalable end-to-end gaussian process adapter for irregularly sampled time series classification
Steven Cheng-Xian Li and Benjamin M Marlin · 2016
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Disease trajectory maps
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Patient subtyping via time-aware lstm networks
Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, and Jiayu Zhou · 2017
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Temporal belief memory: Imputing missing data during rnn training
Yeo-Jin Kim and Min Chi · 2018
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Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
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Rise and dise: Two frameworks for learning from time series with missing data
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Latent odes for irregularly-sampled time series
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Statistical analysis with missing data
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