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Machine Learning to predict cetacean behaviour using social..:

, In: 2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea),

Cherubini, Carla ; Saccotelli, Leonardo ; Caccioppoli, Rocco... - p. 289-293 , 2023

Link: https://doi.org/10.1109/MetroSea58055.2023.10317182

RT 
T1 <cTitle>2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)</cTitle>: T1 <Title>Machine Learning to predict cetacean behaviour using social and environmental features</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10317182&Exemplar=1&LAN=DE
				
A1 Cherubini, Carla
A1 Saccotelli, Leonardo
A1 Caccioppoli, Rocco
A1 Fanizza, Carmelo
A1 Santacesaria, Francesca Cornelia
A1 Lecci, Rita
A1 Causio, Salvatore
A1 Federico, Ivan
A1 Cipriano, Giulia
A1 Dimauro, Giovanni
A1 Coppini, Giovanni
A1 Bellomo, Stefano
A1 Carlucci, Roberto
A1 Maglietta, Rosalia
YR 2023
K1 Machine learning algorithms
K1 Biological system modeling
K1 Habitats
K1 Sea measurements
K1 Forestry
K1 Predictive models
K1 Metrology
K1 Machine Learning
K1 Random Forest
K1 RUSBoost
K1 cetacean conservation
K1 animal behaviour
K1 Copernicus Marine Service
SP 289
OP 293
LK http://dx.doi.org/https://doi.org/10.1109/MetroSea58055.2023.10317182
DO https://doi.org/10.1109/MetroSea58055.2023.10317182
SF ELIB - SuUB Bremen

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