Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods

Ying Wang; Jinchu Dong; Yunchi Zhou; Yinghao Cheng; Xiaoli Zhao; Willie J.G.M. Peijnenburg; Martina G. Vijver; Kenneth M.Y. Leung; Wenhong Fan; Fengchang Wu

doi:10.1021/acs.est.5c00510

Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods

Ying Wang
, Jinchu Dong
, Yunchi Zhou
, Yinghao Cheng
, Xiaoli Zhao
, Willie J.G.M. Peijnenburg
, Martina G. Vijver
, Kenneth M.Y. Leung
, Wenhong Fan^*
, Fengchang Wu^*

^*Corresponding author for this work

School of Materials Science and Engineering

Beihang University
Nuclear and Radiation Safety Center
Chinese Research Academy of Environmental Sciences
Leiden University
National Institute of Public Health and the Environment
City University of Hong Kong

Research output: Contribution to journal › Short survey › peer-review

20 Scopus citations

Original language	English
Pages (from-to)	5867-5871
Number of pages	5
Journal	Environmental Science and Technology
Volume	59
Issue number	12
DOIs	https://doi.org/10.1021/acs.est.5c00510
State	Published - 1 Apr 2025

Keywords

artificial intelligence
data augmentation
ecotoxicity
modeling workflow
prediction
small data machine learning (SDML)

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10.1021/acs.est.5c00510

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title = "Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods",

keywords = "artificial intelligence, data augmentation, ecotoxicity, modeling workflow, prediction, small data machine learning (SDML)",

author = "Ying Wang and Jinchu Dong and Yunchi Zhou and Yinghao Cheng and Xiaoli Zhao and Peijnenburg, \{Willie J.G.M.\} and Vijver, \{Martina G.\} and Leung, \{Kenneth M.Y.\} and Wenhong Fan and Fengchang Wu",

year = "2025",

month = apr,

day = "1",

doi = "10.1021/acs.est.5c00510",

language = "英语",

volume = "59",

pages = "5867--5871",

journal = "Environmental Science and Technology",

issn = "0013-936X",

publisher = "American Chemical Society",

number = "12",

}

TY - JOUR

T1 - Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods

AU - Wang, Ying

AU - Dong, Jinchu

AU - Zhou, Yunchi

AU - Cheng, Yinghao

AU - Zhao, Xiaoli

AU - Peijnenburg, Willie J.G.M.

AU - Vijver, Martina G.

AU - Leung, Kenneth M.Y.

AU - Fan, Wenhong

AU - Wu, Fengchang

PY - 2025/4/1

Y1 - 2025/4/1

KW - artificial intelligence

KW - data augmentation

KW - ecotoxicity

KW - modeling workflow

KW - prediction

KW - small data machine learning (SDML)

UR - https://www.scopus.com/pages/publications/105000483309

U2 - 10.1021/acs.est.5c00510

DO - 10.1021/acs.est.5c00510

M3 - 短篇评述

C2 - 40111220

AN - SCOPUS:105000483309

SN - 0013-936X

VL - 59

SP - 5867

EP - 5871

JO - Environmental Science and Technology

JF - Environmental Science and Technology

IS - 12

ER -

Addressing the Data Scarcity Problem in Ecotoxicology via Small Data Machine Learning Methods

Keywords

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