Work

Interpretation of ensemble learning to predict water quality using explainable artificial intelligence

Year: 2022

Type: article

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2022.155070

Authors: Jungsu Park, Woo Hyoung Lee, Keug Tae Kim, Cheol Young Park, Sanghun Lee, Tae-Young Heo

Institutions: Hanbat National University, University of Central Florida, University of Suwon, Chungbuk National University

Language: English

Topic: Aquatic Ecosystems and Phytoplankton Dynamics

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: National Research Foundation of Korea, Korea Environmental Industry and Technology Institute

OpenAlex ID: W4223594669

FWCI: 17.01

Cites: 48

Cited by: 250

Related to: 10