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03/07/2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Traffic accident forecasting is a significant problem for transportation...
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02/07/2022
Optimizing Warfarin Dosing using Deep Reinforcement Learning
Warfarin is a widely used anticoagulant, and has a narrow therapeutic ra...
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08/04/2021
Gaussian Process Regression and Classification using International Classification of Disease Codes as Covariates
International Classification of Disease (ICD) codes are widely used for ...
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12/07/2020
A predictive model for kidney transplant graft survival using machine learning
Kidney transplantation is the best treatment for end-stage renal failure...
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11/16/2020
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
Cardiovascular disease (CVD) is a serious illness affecting millions wor...
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05/03/2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
Urban dispersal events are processes where an unusually large number of ...
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09/06/2018
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa
Neural networks are capable of learning rich, nonlinear feature represen...
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02/14/2018
Prophit: Causal inverse classification for multiple continuously valued treatment policies
Inverse classification uses an induced classifier as a queryable oracle ...
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11/13/2016
Realistic risk-mitigating recommendations via inverse classification
Inverse classification, the process of making meaningful perturbations t...
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10/05/2016
Generalized Inverse Classification
Inverse classification is the process of perturbing an instance in a mea...
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05/29/2016