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This work proposes an integrated KEP optimization methodology that learns a representation of features that affect the realization of optimized solutions.
Jun 16, 2024 · Tabular data optimization methods aim to automatically find an optimal feature transformation process that generates high-value features and ...
Abstract—The Kidney Exchange Problem (KEP) determines organ exchange chains and cycles amongst a pool of patient-donor pairs (PDP) and non-directed donors ...
An Exploration of Optimizing Kidney Exchanges with Graph Machine Learning · Rochester Institute of Technology,Department of Industrial & Systems Engineering, ...
Sep 8, 2024 · An Exploration of Optimizing Kidney Exchanges with Graph Machine Learning ,Science hub Mutual Aid community.
Aug 23, 2024 · This paper introduces a new learning-based approach for approximately solving the Kidney-Exchange Problem (KEP), an NP-hard problem on ...
A new learning-based two-stage approach for approximately solving the Kidney-Exchange Problem is introduced, outputting approximate solutions on average 1.1 ...
We briefly review the standard mathematical model for kidney exchange and techniques from the AI community used to clear real kidney exchanges, and then give ...
Adapting a kidney exchange algorithm to align with human values
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In this paper, we provide an end-to-end methodology for estimating weights of individual participant profiles in a kidney exchange.
Apr 19, 2023 · This paper introduces a new learning-based approach for approximately solving the Kidney-Exchange Problem (KEP), an NP-hard problem on graphs.
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