This article reports on the potential environmental risks due to escape events of sea bream and sea bass and their consequences for wild fish populations in terms of genetic pollution in the Mediterranean.

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This paper presents a comparison between a collection of Artificial Neural Networks (Multilayer Perceptrons) and a collection of Symbolic Regression models. The models were developed to predict fish mortality due to infectious diseases in aquaculture.

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