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A Machine Learning Solution for Distributed Environments and Edge Computing 

Penas-Noce, Javier; Fontenla-Romero, Óscar; Guijarro-Berdiñas, Bertha (M D P I AG, 2019-08-09)
[Abstract] In a society in which information is a cornerstone the exploding of data is crucial. Thinking of the Internet of Things, we need systems able to learn from massive data and, at the same time, being inexpensive ...
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Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia 

Molares, Andrés; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI AG, 2020-08-19)
[Abstract] This study seeks to support, through the use of Artificial Neural Networks (ANN), the decision to perform closings after days without sampling in the Vigo estuary. The opening and closing of the mussel production ...
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Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction 

Barreiro, Enrique; Munteanu, Cristian-Robert; Gestal, M.; Rabuñal, Juan R.; Pazos, A.; González-Díaz, Humberto; Dorado, Julián (MDPI, 2020-02-14)
[Abstract] Brain Connectome Networks (BCNs) are defined by brain cortex regions (nodes) interacting with others by electrophysiological co-activation (edges). The experimental prediction of new interactions in BCNs ...

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AuthorBarreiro, Enrique (1)Dorado, Julián (1)Fernández-Blanco, Enrique (1)Fontenla-Romero, Óscar (1)Gestal, M. (1)González-Díaz, Humberto (1)Guijarro-Berdiñas, Bertha (1)Molares, Andrés (1)Munteanu, Cristian-Robert (1)Pazos, A. (1)... View MoreSubject
Artificial neural networks (3)
Machine learning (3)
Big Data (1)Brain connectome networks (1)Distributed learning (1)Edge computing (1)Harmful algae blooms (1)Internet of things (1)Net-Net AutoML (1)Privacy-preserving (1)... View MoreDate Issued2020 (2)2019 (1)
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