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06/02/2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
The use of machine learning (ML) models in decision-making contexts, par...
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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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09/16/2020
Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence
Sepsis is one of the leading causes of death in Intensive Care Units (IC...
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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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01/26/2018
21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models
This large-scale study, consisting of 21.3 million hand hygiene opportun...
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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
A budget-constrained inverse classification framework for smooth classifiers
Inverse classification is the process of manipulating an instance such t...
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06/17/2015
