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04/26/2023
Regression with Sensor Data Containing Incomplete Observations
This paper addresses a regression problem in which output label values a...
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04/28/2022
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
We address the problem of predicting when a disease will develop, i.e., ...
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05/12/2020
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data
This paper addresses the learning task of estimating driver drowsiness f...
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12/06/2018
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
This paper proposes a method for modeling event sequences with ambiguous...
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07/31/2017
Consistent Nonparametric Different-Feature Selection via the Sparsest k-Subgraph Problem
Two-sample feature selection is the problem of finding features that des...
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09/26/2011