Deep learning for supervised classification of temporal data in ecology

Temporal data is ubiquitous in ecology and ecologists often face the challenge of accurately differentiating these data into predefined classes, such as biological entities or ecological states. The usual approach consists of transforming the time series into user-defined features and then using the...

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Bibliographic Details
Main Author: Capinha, César (author)
Other Authors: Ceia-Hasse, Ana (author), Kramer, Andrew M. (author), Meijer, Christiaan (author)
Format: article
Language:eng
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10451/47618
Country:Portugal
Oai:oai:repositorio.ul.pt:10451/47618