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References from Automated machine learning in nanotoxicity assessment: A comparative study of predictive model performance. Local targets link to admitted publications; unresolved targets remain external evidence.
Nanomaterials in cosmetics: recent updates
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Photocatalytic and biological applications of Ag and Au doped ZnO nanomaterial synthesized by combustion
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Curation of datasets, assessment of their quality and completeness, and nanoSAR classification model development for metallic nanoparticles
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Toxicity classification of oxide nanomaterials: effects of data gap filling and Pchem score-based screening approaches
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The eNanoMapper database for nanomaterial safety information
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Nanomaterial registry: database that captures the minimal information about nanomaterial physico-chemical characteristics
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Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations
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Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
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On some novel similarity-based functions used in the ML-Based q-RASAR approach for efficient quantitative predictions of selected toxicity end points
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A systematic analysis of performance measures for classification tasks
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Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis
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