Interpretable AI for policy-making in pandemics

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Interpretable AI for policy-making in pandemics

8 April 2022

Leonardo Lucio Custode

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

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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 204 1 0 12 Jun 2024
Evo* 2023 -- Late-Breaking Abstracts Volume A. M. Mora Christopher J. Tralie 144 0 0 20 Mar 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid AlgorithmsIEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2024 Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 263 38 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 98 1 0 11 Nov 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and ChallengesIEEE Transactions on Intelligent Vehicles (TIV), 2023 Ziyuan Zhou Guanjun Liu Ying-Si Tang 243 32 0 17 May 2023
Quality Diversity Evolutionary Learning of Decision TreesACM Symposium on Applied Computing (SAC), 2022 Andrea Ferigo Leonardo Lucio Custode Giovanni Iacca 186 15 0 17 Aug 2022