Interpretable AI for policy-making in pandemics

8 April 2022

Papers citing "Interpretable AI for policy-making in pandemics"

6 / 6 papers shown

Title
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall Niki van Stein David Walker Ting-Kuei Hu 39 0 0 12 Jun 2024
Evo* 2023 -- Late-Breaking Abstracts Volume A. M. Mora Christopher J. Tralie 29 0 0 20 Mar 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 39 9 0 22 Jan 2024
The Pros and Cons of Using Machine Learning and Interpretable Machine Learning Methods in psychiatry detection applications, specifically depression disorder: A Brief Review Hossein Simchi Samira Tajik AI4MH 14 0 0 11 Nov 2023
Quality Diversity Evolutionary Learning of Decision Trees Andrea Ferigo Leonardo Lucio Custode Giovanni Iacca 29 12 0 17 Aug 2022
Reinforcement Learning for Optimization of COVID-19 Mitigation policies Varun Kompella Roberto Capobianco Stacy Jong Jonathan Browne S. Fox L. Meyers Peter R. Wurman Peter Stone 75 47 0 20 Oct 2020