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GeoAI as collaborative effort: interview with Devis Tuia
Richter, Kai-Florian
Umeå University, Faculty of Science and Technology, Department of Computing Science.
ORCID iD:
0000-0001-5629-0981
Scheider, Simon
Department of Human Geography and Spatial Planning, University Utrecht, Princetonlaan 8a, Utrecht, Netherlands.
Tuia, Devis
Environmental Computational Science and Earth Observation laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL Valais Wallis, Rue de l’Industrie 17, Case postale 440, Sion, Switzerland.
2023 (English)
In:
Künstliche Intelligenz, ISSN 0933-1875, E-ISSN 1610-1987, Vol. 37, p. 99-105
Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2023. Vol. 37, p. 99-105
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:umu:diva-204394
DOI:
10.1007/s13218-022-00791-5
ISI:
000920535100002
Scopus ID:
2-s2.0-85146535351
OAI: oai:DiVA.org:umu-204394
DiVA, id:
diva2:1733782
Available from:
2023-02-03
Created:
2023-02-03
Last updated:
2023-07-13
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Richter, Kai-Florian
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