58 citations · 179 across the 14 of their papers we have counts for
3 papers · 1 filter
SNAD: enabling discovery in the era of big data
Maria Pruzhinskaya, Emille E. O. Ishida, Konstantin Malanchev +8
In the era of wide-field surveys and big data in astronomy, the SNAD team is exploiting the potential of modern datasets for discovering new, unforeseen, or rare astrophysical obje…
Supernova search with active learning in ZTF DR3
Maria V. Pruzhinskaya, Emille E. O. Ishida, Alexandra K. Novinskaya +9
We provide the first results from the complete SNAD adaptive learning pipeline in the context of a broad scope of data from large-scale astronomical surveys. The main goal of this…
Anomaly Detection in the Open Supernova Catalog
Maria V. Pruzhinskaya, Konstantin L. Malanchev, Matwey V. Kornilov +4
In the upcoming decade large astronomical surveys will discover millions of transients raising unprecedented data challenges in the process. Only the use of the machine learning al…