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Explainable machine learning for predicting diarrhetic shellfish poisoning events in the Adriatic Sea using long-term monitoring data
Martin Marzidovšek, Janja Francé, Vid Podpečan, Stanka Grebenc, Jožica Dolenc, Patricija Mozetič
Izvirni znanstveni članek
Oznake: Harmful algal blooms;DSP toxins;Machine learning;Explainable artificial intelligence;Aquaculture;Marine ecology;Adriatic Sea;
In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of toxic phytoplankton in mussel farming areas and diarrhetic sh ...
Leto: 2024 Vir: Veterinarska fakulteta (UL VF)
Št. zadetkov: 1
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