Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cristiano Baldassari"'
Autor:
Alessandro Marra, Cristiano Baldassari
Publikováno v:
PLoS ONE, Vol 17, Iss 6, p e0270041 (2022)
The paper uses text mining and semantic algorithms to tag innovative firms and offer an alternative perspective to classify industrial activities. Instead of referring to firms' standard industrial classification codes, we gather information from com
Externí odkaz:
https://doaj.org/article/160f000a58f54de8854ce8ec6158ba43
Autor:
Carlo Mari, Cristiano Baldassari
Publikováno v:
Energies, Vol 14, Iss 8, p 2084 (2021)
We propose a machine learning-based methodology which makes use of ensemble methods with the aims (i) of treating missing data in time series with irregular observation times and detecting anomalies in the observed time behavior; (ii) of defining sui
Externí odkaz:
https://doaj.org/article/eaaee326cea34b19aed8c87e2f1ab278
Autor:
Carlo Mari, Cristiano Baldassari
Publikováno v:
Information Sciences. 617:1-16
Autor:
Carlo Mari, Cristiano Baldassari
Publikováno v:
Neural Computing and Applications.
A fully unsupervised graph-based superframework is proposed to handle the EM initialization problem for estimating mixture models on financial time series. Using a complex network approach that links time series and graphs, the graph-structured infor
Autor:
Cristiano Baldassari, Alessandro MARRA
Publikováno v:
PloS one. 17(6)
The paper uses text mining and semantic algorithms to tag innovative firms and offer an alternative perspective to classify industrial activities. Instead of referring to firms’ standard industrial classification codes, we gather information from c
Publikováno v:
Business Strategy and the Environment. 29:1034-1044
Nowadays scholars widely recognize that know‐how, capabilities and knowledge needed to generate innovations often reside outside the firm, start‐ups are a valuable source, and collaborative networks are a fundamental strategy for innovation. This