Articolo su PLOS ONE
Antonio Zinilli e Giovanni Cerulli segnalano la pubblicazione dell’articolo “Link prediction and feature relevance in knowledge networks: A machine learning approach” su PLOS ONE.
... We propose a supervised machine learning approach to predict partnership formation between universities. We focus on successful joint R&D projects funded by the Horizon 2020 programme in three research domains: Social Sciences and Humanities, Physical and Engineering Sciences, and Life Sciences. …
L’articolo, open access, รจ disponibile qui: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0290018