Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Grossi G

Dados Biográficos

ID10207754
NOMEGrossi G
PRENOMESG
SOBRENOMEGrossi
ASSINATURAG G
AFILIAÇÕESUniversity of Florence
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Developing a Synthetic Socio-Economic Index through Autoencoders

    Open Access•Giulio Grossi, Grossi G et al.•ARTICLE•Social Indicators Research•2026

    The interest in summarizing complex and multidimensional phenomena often related to one or more specific sectors (social, economic, environmental, political, etc.) to make them easily understandable even to non-experts is far from waning. A widely adopted approach for this purpose is the use of composite indices, statistical measures that aggregate multiple indicators into a single comprehensive measure. In this paper, we present a novel methodol…

Sem obras proeminentes nesta página.

  • Developing a Synthetic Socio-Economic Index through Autoencoders

    Open Access•Giulio Grossi, Grossi G et al.•ARTICLE•Social Indicators Research•2026

    The interest in summarizing complex and multidimensional phenomena often related to one or more specific sectors (social, economic, environmental, political, etc.) to make them easily understandable even to non-experts is far from waning. A widely adopted approach for this purpose is the use of composite indices, statistical measures that aggregate multiple indicators into a single comprehensive measure. In this paper, we present a novel methodol…

Artificial neural network (1 obras) · Composite index (1 obras) · Hierarchy (1 obras) · Regional Economics and Spatial Analysis (1 obras) · Regional resilience and development (1 obras) · Spatial and Panel Data Analysis (1 obras) · Vulnerability assessment (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae