136 citations · 357 across the 20 of their papers we have counts for
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Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Rickard K. A. Karlsson, Martin Willbo, Zeshan Hussain +3
We study prediction of future outcomes with supervised models that use privileged information during learning. The privileged information comprises samples of time series observed…
Neural Pharmacodynamic State Space Modeling
Zeshan Hussain, Rahul G. Krishnan, David Sontag
Modeling the time-series of high-dimensional, longitudinal data is important for predicting patient disease progression. However, existing neural network based approaches that lear…
Clustering Interval-Censored Time-Series for Disease Phenotyping
Irene Y. Chen, Rahul G. Krishnan, David Sontag
Unsupervised learning is often used to uncover clusters in data. However, different kinds of noise may impede the discovery of useful patterns from real-world time-series data. In…