Guillermo Cabrera V.

Líneas de Investigación

• Data Science
• Machine learning
• Computer vision
• Astrostatistics and Astroinformatics

Publicaciones más relevantes

“Deep Learning for Image Sequence Classification of Astronomical Events”, R.Carrasco- Davis, G. Cabrera-Vives, F. F ̈orster, P. Huijse, P. Protopapas, I. Reyes, J. Mart ́ınez, and C. Donoso, 2018, Publications of the Astronomical Society of the Pacific, accepted.

“Multiband galaxy morphologies for CLASH: a convolutional neural network trans- ferred from CANDELS”, M. P ́erez-Carrasco, G. Cabrera-Vives, M. Martinez-Marin, P. Cerulo, R. Demarco, P. Protopapas, J. Godoy, and M. Huertas-Company, 2018, Publications of the Astronomical Society of the Pacific, accepted.

“Systematic Labeling Bias in Galaxy Morphologies”, G. Cabrera-Vives, C. J. Miller, J. Schneider, 2018, The Astronomical Journal, 156 (6).

“The delay of shock breakout due to circumstellar material evident in most type II supernovae”, F. Förster, T. J. Moriya, J. C. Maureira, J. P. Anderson, S. Blinnikov, F. Bufano, G. Cabrera-Vives, et.al., 2018, Nature Astronomy, 2, p. 808-818.

“Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detec- tion”; E. Reyes, P. Est ́evez, I. Reyes, G. Cabrera-Vives, P. Huijse, R. Carrasco and F. F ̈orster, 2018 International Joint Conference on Neural Networks, p. 1-8.