Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications: Fid-Bau Portal

Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications

Salley, Christin / Mohammadi, Neda / Taylor, John E.

Zugriff

Seitennavigation

Exportieren, teilen und zitieren

Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications

Salley, Christin / Mohammadi, Neda / Taylor, John E.

Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications

Salley, Christin / Mohammadi, Neda / Taylor, John E.

Zugriff

Seitennavigation

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Semi-Supervised Machine Learning Framework for Fusing Georeferenced Data from Social Media and Community-Driven Applications

Beteiligte:

Kongress:

ASCE International Conference on Computing in Civil Engineering ; 2021 ; Orlando, Fla.

Erschienen in:

Computing in civil engineering 2021 ; Volume 1 of 2

Erscheinungsdatum:

2022

Medientyp:

Aufsatz (Konferenz)

Format:

Sprache:

Englisch

Salley, Christin / Mohammadi, Neda / Taylor, John E. | British Library Conference Proceedings | 2021

Salley, Christin / Mohammadi, Neda / Xie, Jiajia et al. | ASCE | 2024

MacEachren, A.M. | Online Contents | 1998

Raper, J. | Online Contents | 1998

Brovelli, Maria / Negretti, Marco / Biagi, Ludovico | Springer Verlag | 2017