The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks.

Schlender, Thalea; Viljanen, Markus; van Rijn, Jan N; Mohr, Felix; Peijnenburg, Willie Jgm; Hoos, Holger H; Rorije, Emiel; Wong, Albert

Schlender, Thalea; Viljanen, Markus; van Rijn, Jan N; Mohr, Felix; Peijnenburg, Willie Jgm; Hoos, Holger H; Rorije, Emiel; Wong, Albert.

Affiliation

Schlender T; Leiden Institute of Advanced Computer Science, Leiden University, Leiden 2333 CA, The Netherlands.
Viljanen M; National Institute for Public Health and the Environment (RIVM), Bilthoven 3720 BA, The Netherlands.
van Rijn JN; National Institute for Public Health and the Environment (RIVM), Bilthoven 3720 BA, The Netherlands.
Mohr F; Leiden Institute of Advanced Computer Science, Leiden University, Leiden 2333 CA, The Netherlands.
Peijnenburg WJ; Universidad de La Sabana, Chía 250001, Colombia.
Hoos HH; National Institute for Public Health and the Environment (RIVM), Bilthoven 3720 BA, The Netherlands.
Rorije E; Institute of Environmental Sciences, Leiden University, Leiden 2333 CC, The Netherlands.
Wong A; Leiden Institute of Advanced Computer Science, Leiden University, Leiden 2333 CA, The Netherlands.

Environ Sci Technol ; 57(46): 17818-17830, 2023 Nov 21.

Article de En | MEDLINE | ID: mdl-37315216

Sujet(s)
Mots clés

QSAR; aquatic ecosystem; ecotoxicology; learning curves; meta-learning; multi-task learning

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Relation quantitative structure-activité Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: Environ Sci Technol Année: 2023 Type de document: Article Pays d'affiliation: Pays-Bas

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