@ARTICLE{2016MNRAS.461.2044S,
       author = {{Sasdelli}, M. and {Ishida}, E.~E.~O. and {Vilalta}, R. and {Aguena}, M.
        and {Busti}, V.~C. and {Camacho}, H. and {Trindade}, A.~M.~M.
        and {Gieseke}, F. and {de Souza}, R.~S. and {Fantaye}, Y.~T. and
        {Mazzali}, P.~A.},
        title = "{Exploring the spectroscopic diversity of Type Ia supernovae with
        DRACULA: a machine learning approach}",
      journal = {\mnras},
     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},
         year = 2016,
        month = Sep,
       volume = {461},
        pages = {2044-2059},
          doi = {10.1093/mnras/stw1228},
archivePrefix = {arXiv},
       eprint = {1512.06810},
 primaryClass = {astro-ph.SR},
       adsurl = {https://ui.adsabs.harvard.edu/\#abs/2016MNRAS.461.2044S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}