W. Nick Street

HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data

Mar 07, 2022
Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li

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* 9 pages, 2022 SIAM International Conference on Data Mining

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Optimizing Warfarin Dosing using Deep Reinforcement Learning

Feb 07, 2022
Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas

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* submitted to Journal of Biomedical Informatics

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A predictive model for kidney transplant graft survival using machine learning

Dec 07, 2020
Eric S. Pahl, W. Nick Street, Hans J. Johnson, Alan I. Reed

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* 4th International Conference on Computer Science and Information Technology (COMIT 2020), November 28-29, 2020, Dubai, UAE. ISBN: 978-1-925953-30-5. Volume 10, Number 16
* This work has been published: Pahl ES, Street WN, Johnson HJ, Reed AI. "A Predictive Model for Kidney Transplant Graft Survival Using Machine Learning." 4th International Conference on Computer Science and Information Technology (COMIT 2020), November 28-29, 2020, Dubai, UAE. ISBN: 978-1-925953-30-5. Volume 10, Number 16.10.5121/csit.2020.101609

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Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification

Nov 16, 2020
Michael T. Lash, W. Nick Street

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* Forthcoming in AIBH 2020 (a BIBM 2020 workshop)

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Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data

May 03, 2019
Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Ynahua Li

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* To appear in AAAI-19 proceedings

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Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa

Sep 06, 2018
Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch

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* arXiv admin note: substantial text overlap with arXiv:1708.04714

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W. Nick Street

HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data

Optimizing Warfarin Dosing using Deep Reinforcement Learning

A predictive model for kidney transplant graft survival using machine learning

Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification

Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data

Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa

Prophit: Causal inverse classification for multiple continuously valued treatment policies

Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa

A budget-constrained inverse classification framework for smooth classifiers

Generalized Inverse Classification