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Fabian Netzler

Dados Biográficos

ID9965547
NOMEFabian Netzler
PRENOMESFabian
SOBRENOMENetzler
ASSINATURANETZLER F
AFILIAÇÕESTechnical University of Munich
ORCID0000-0001-8423-0310
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders

    Open Access•Fabian Netzler, Markus Lienkamp•ARTICLE•ISPRS International Journal of…•2024

    This paper proposes a one-to-one trajectory synthetization method with stable long-term individual mobility behavior based on a generalizable area embedding. Previous methods concentrate on producing highly detailed data on short-term and restricted areas for, e.g., autonomous driving scenarios. Another possibility consists of city-wide and beyond scales that can be used to predict general traffic flows. The now-presented approach takes the track…

Sem obras proeminentes nesta página.

  • Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders

    Open Access•Fabian Netzler, Markus Lienkamp•ARTICLE•ISPRS International Journal of…•2024

    This paper proposes a one-to-one trajectory synthetization method with stable long-term individual mobility behavior based on a generalizable area embedding. Previous methods concentrate on producing highly detailed data on short-term and restricted areas for, e.g., autonomous driving scenarios. Another possibility consists of city-wide and beyond scales that can be used to predict general traffic flows. The now-presented approach takes the track…

Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Autoencoder (1 obras) · Cartography (1 obras) · Cluster analysis (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Data-Driven Disease Surveillance (1 obras) · Embedding (1 obras) · Geography (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