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Works (3)
Updated: April 5th, 2024 10:59
2022 article
An illustration of model agnostic explainability methods applied to environmental data
Wikle, C. K., Datta, A., Hari, B. V., Boone, E. L., Sahoo, I., Kavila, I., … Chang, W. (2022, October 25). ENVIRONMETRICS.
author keywords: explainable AI; feature shuffling; LIME; machine learning; Shapley values
TL;DR:
Three general methods for explainability that are model agnostic and thus applicable across a breadth of models without internal explainability are focused on: “feature shuffling”, “interpretable local surrogates’, and “occlusion analysis”.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
Source: Web Of Science
Added: November 7, 2022
2022 article
Visual Analytics for the Coronavirus COVID-19 Pandemic
Healey, C. G., Simmons, S. J., Manivannan, C., & Ro, Y. (2022, January 18). BIG DATA.
author keywords: coronavirus; COVID-19; data analytics; visualization
MeSH headings : COVID-19 / epidemiology; China / epidemiology; Forecasting; Humans; Pandemics / prevention & control; SARS-CoV-2
TL;DR:
The high-level goal is to provide visualizations of predictive analytics that offer policymakers and the general public insight into the current pandemic state and how it may progress into the future.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: Web Of Science
Added: February 7, 2022
2018 journal article
A general framework for gathering data to quantify annual visitation
Journal of Park and Recreation Administration, 36(1), 1–21.
Source: NC State University Libraries
Added: August 6, 2018
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