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Fish recruitment prediction, using robust supervised classification methods

Authors: Fernandes, J.A. (Jose A.); Irigoien, X. (Xabier); Goikoetxea, N.; Lozano, J.A.; Inzab, I.; Pérez, A.; Bode, A. (Antonio);

Fish recruitment prediction, using robust supervised classification methods

Keywords

ENVIRONMENT, ANCHOVY ENGRAULIS-ENCRASICOLUS, CLIMATE-CHANGE, SEA, Climate, Hake, BAYESIAN NETWORKS, DISTRIBUTION ALGORITHMS, Centro Oceanográfico de A Coruña, Fish recruitment, MODEL, BAY, Feature selection, Supervised classification, Anchovy, Pesquerías, DISCRETIZATION, Ecological modelling, Discretization, BISCAY ANCHOVY

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
61
Top 10%
Top 10%
Top 10%
44
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