BibTeX record journals/eswa/FestaMTS23

download as .bib file

@article{DBLP:journals/eswa/FestaMTS23,
  author       = {Giulia Festa and
                  Maria Stella Maggio and
                  Lorenzo Teodonio and
                  Claudia Scatigno},
  title        = {Ancient handwriting attribution via spectroscopic benchmarks and machine
                  learning: '\emph{Clavis Prophetarum}' by \emph{Antonio Viera}},
  journal      = {Expert Syst. Appl.},
  volume       = {227},
  pages        = {120328},
  year         = {2023},
  url          = {https://doi.org/10.1016/j.eswa.2023.120328},
  doi          = {10.1016/J.ESWA.2023.120328},
  timestamp    = {Mon, 26 Jun 2023 20:51:19 +0200},
  biburl       = {https://dblp.org/rec/journals/eswa/FestaMTS23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.