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
· Ecotoxicology · 0 citations