@article{56e93e570fac45309d09512edb8fccda,
title = "Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach",
keywords = "methods: data analysis, methods: miscellaneous, methods: statistical, supernovae: general, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics",
author = "M. Sasdelli and E.\textasciitilde{}E.\textasciitilde{}O. Ishida and R. Vilalta and M. Aguena and V.\textasciitilde{}C. Busti and H. Camacho and A.\textasciitilde{}M.\textasciitilde{}M. Trindade and F. Gieseke and \{de Souza\}, R.\textasciitilde{}S. and Y.\textasciitilde{}T. Fantaye and P.\textasciitilde{}A. Mazzali",
year = "2016",
month = sep,
day = "1",
doi = "10.1093/mnras/stw1228",
language = "Undefined/Unknown",
volume = "461",
pages = "2044--2059",
journal = "Monthly Notices of the Royal Astronomical Society (MNRAS)",
issn = "0035-8711",
publisher = "Oxford University Press (OUP)",
number = "2",
}