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Rosalvo Ferreira de Oliveira

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Open access Sep 2026

Transfer learning for honey bee toxicity prediction: MolFormer versus classical QSAR representations

The results demonstrate that transfer-learned chemical embeddings can rival established QSAR baselines while simplifying feature engineering, supporting their practical adoption for ecotoxicological screening under limited labeled data.

Alan Victor de Souza Pinho, E. B. de Alencar, Rosalvo Ferreira de Oliveira · 0 citations

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