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Granata, Francesco, Di Nunno, Fabio (2021) Artificial Intelligence models for prediction of the tide level in Venice. Stochastic Environmental Research and Risk Assessment, 35 (12) 2537-2548 doi:10.1007/s00477-021-02018-9

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Reference TypeJournal (article/letter/editorial)
TitleArtificial Intelligence models for prediction of the tide level in Venice
JournalStochastic Environmental Research and Risk Assessment
AuthorsGranata, FrancescoAuthor
Di Nunno, FabioAuthor
Year2021 (December)Volume35
Issue12
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-021-02018-9Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID13444326Long-form Identifiermindat:1:5:13444326:5
GUID0
Full ReferenceGranata, Francesco, Di Nunno, Fabio (2021) Artificial Intelligence models for prediction of the tide level in Venice. Stochastic Environmental Research and Risk Assessment, 35 (12) 2537-2548 doi:10.1007/s00477-021-02018-9
Plain TextGranata, Francesco, Di Nunno, Fabio (2021) Artificial Intelligence models for prediction of the tide level in Venice. Stochastic Environmental Research and Risk Assessment, 35 (12) 2537-2548 doi:10.1007/s00477-021-02018-9
In(2021, December) Stochastic Environmental Research and Risk Assessment Vol. 35 (12) Springer Science and Business Media LLC

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Granata, Francesco, Di Nunno, Fabio (2024) Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners. Stochastic Environmental Research and Risk Assessment, 38 (9). doi:10.1007/s00477-024-02760-w
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