24 citations · 38 across the 3 of their papers we have counts for
3 papers
Deep-TAO: The Deep Learning Transient Astronomical Object data set for Astronomical Transient Event Classification
John F. Suárez-Pérez, Catalina Gómez, Mauricio Neira +3
We present the Deep-learning Transient Astronomical Object (Deep-TAO), a dataset of 1,249,079 annotated images from the Catalina Real-time Transient Survey, including 3,807 transie…
MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognition
Mauricio Neira, Catalina Gómez, John F. Suárez-Pérez +5
We introduce MANTRA, an annotated dataset of 4869 transient and 71207 non-transient object lightcurves built from the Catalina Real Time Transient Survey. We provide public access…
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks
Catalina Gómez, Mauricio Neira, Marcela Hernández Hoyos +2
Supervised classification of temporal sequences of astronomical images into meaningful transient astrophysical phenomena has been considered a hard problem because it requires the…