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Michael T. Lash

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HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning

Jun 02, 2022
Michael T. Lash

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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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Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence

Sep 16, 2020
Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu

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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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Prophit: Causal inverse classification for multiple continuously valued treatment policies

Feb 14, 2018
Michael T. Lash, Qihang Lin, W. Nick Street

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21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models

Jan 26, 2018
Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre

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

Aug 15, 2017
Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street

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A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models

Jul 07, 2017
Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre

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A budget-constrained inverse classification framework for smooth classifiers

Jun 08, 2017
Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson

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Generalized Inverse Classification

Jan 12, 2017
Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey Ohlmann

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