Prediction of serious eye damage or eye irritation potential of compounds via consensus labelling models and active learning models based on uncertainty strategies-Reference-Cited by-同舟云学术

Prediction of serious eye damage or eye irritation potential of compounds via consensus labelling models and active learning models based on uncertainty strategies

Published:2022-11 Issue: Volume:169 Page:113420
ISSN:0278-6915
Container-title:Food and Chemical Toxicology
language:en
Short-container-title:Food and Chemical Toxicology

Author:

Di Peiwen^ORCID,Zheng Mingyue,Yang Tianbiao,Chen Geng,Ren Jianan^ORCID,Li Xutong^ORCID,Jiang Hualiang

Publisher

Elsevier BV

Subject

Toxicology,General Medicine,Food Science

Reference43 articles.

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1. Generation of Deep Learning Models and Structural Alerts for Accurate Prediction of Eye Irritants;2023 IEEE Silchar Subsection Conference (SILCON);2023-11-03