3 papers
cs.LG2026★ 1 cited
Evaluating machine learning models for predicting pesticide toxicity to honey bees
Jakub Adamczyk, Jakub Poziemski, Pawel Siedlecki
Small molecules play a critical role in the biomedical, environmental, and agrochemical domains, each with distinct physicochemical requirements and success criteria. Although biom…
cs.LG2025
MolPILE -- large-scale, diverse dataset for molecular representation learning
Jakub Adamczyk, Jakub Poziemski, Franciszek Job +2
The size, diversity, and quality of pretraining datasets critically determine the generalization ability of foundation models. Despite their growing importance in chemoinformatics,…
q-bio.QM2024
ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
Jakub Adamczyk, Jakub Poziemski, Pawel Siedlecki
The global decline in bee populations poses significant risks to agriculture, biodiversity, and environmental stability. To bridge the gap in existing data, we introduce ApisTox, a…