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Explainable machine learning techniques for applications in life sciences
Martin Marzidovšek, Vid Podpečan, Patricija Mozetič, Nada Lavrač, Ljupčo Todorovski
Doktorska disertacija
Oznake: phytoplankton;enviroment;artifical intelligence;machine learning;doctoral dissertations;
Explainable machine learning techniques for applications in life sciences
Leto: 2024 Vir: Repozitorij samostojnih visokošolskih in višješolskih izobraževalnih organizacij
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: 2
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