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20202026
most citedInferring Linear Feasible Regions using Inverse Optimization

23 citations · 46 across the 9 of their papers we have counts for

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math.OC2020★ 19 cited

Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19

Felix Parker, Hamilton Sawczuk, Fardin Ganjkhanloo +2

When facing an extreme stressor, such as the COVID-19 pandemic, healthcare systems typically respond reactively by creating surge capacity at facilities that are at or approaching…

math.OC2020★ 1 cited

Inverse Learning: Solving Partially Known Models Using Inverse Optimization

Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi

We consider the problem of learning optimal solutions of a partially known linear optimization problem and recovering its underlying cost function where a set of past decisions and…

math.OC2020

An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints

Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi

Linear constrained optimization techniques have been applied to many real-world settings. In recent years, inferring the unknown parameters and functions inside an optimization mod…

cs.CY2020

Artificial Intelligence-based Clinical Decision Support for COVID-19 -- Where Art Thou?

Mathias Unberath, Kimia Ghobadi, Scott Levin +2

The COVID-19 crisis has brought about new clinical questions, new workflows, and accelerated distributed healthcare needs. While artificial intelligence (AI)-based clinical decisio…

math.OC2020★ 23 cited

Inferring Linear Feasible Regions using Inverse Optimization

Kimia Ghobadi, Houra Mahmoudzadeh

Consider a problem where a set of feasible observations are provided by an expert and a cost function is defined that characterizes which of the observations dominate the others an…