Random forest models using early magnitudes, time differences, and new magnitude rates identify up to 13.6% of true broad-lined Ic supernovae in unseen test data.
B., Ivezi´c, Ž., Jones, R
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
ELEPHANT flags hostless transients from ZTF alerts with 0.84 accuracy, confirming 67 genuine cases mostly as Type Ia supernovae from 877 candidates between 2023 and 2025.
citing papers explorer
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Machine learning for the early classification of broad-lined Ic supernovae
Random forest models using early magnitudes, time differences, and new magnitude rates identify up to 13.6% of true broad-lined Ic supernovae in unseen test data.
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Hostless extragalactic transients in Fink: Results from the ELEPHANT pipeline
ELEPHANT flags hostless transients from ZTF alerts with 0.84 accuracy, confirming 67 genuine cases mostly as Type Ia supernovae from 877 candidates between 2023 and 2025.