@inproceedings{e76f05eb100c4671b0f03cb06aaa621e,
title = "Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering",
keywords = "supernovae: general, methods: machine learning, data analysis, statistical",
author = "Ishida, \{Emille E.\textasciitilde{}O.\} and Michele Sasdelli and Ricardo Vilalta and Michel Aguena and Busti, \{Vinicius C.\} and Hugo Camacho and Trindade, \{Arlindo M.\textasciitilde{}M.\} and Fabian Gieseke and \{de Souza\}, \{Rafael S.\} and Fantaye, \{Yabebal T.\} and Mazzali, \{Paolo A.\}",
year = "2017",
month = jun,
day = "1",
doi = "10.1017/S174392131601293X",
language = "English",
volume = "325",
pages = "247--252",
editor = "Massimo Brescia and S.\textasciitilde{}G. Djorgovski and Feigelson, \{Eric D.\} and Giuseppe Longo and Stefano Cavuoti",
booktitle = "Astroinformatics",
}