Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)

30 Apr 2019Bhanu Pratap SinghIman DeznabiBharath NarasimhanBryon KucharskiRheeya UppaalAkhila JosyulaMadalina Fiterau

Missing values, irregularly collected samples, and multi-resolution signals commonly occur in multivariate time series data, making predictive tasks difficult. These challenges are especially prevalent in the healthcare domain, where patients' vital signs and electronic records are collected at different frequencies and have occasionally missing information due to the imperfections in equipment or patient circumstances... (read more)

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