22 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 22 cited
Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs
Martin Marzidovšek, Janja Francé, Vid Podpečan +3
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 analy…
q-bio.QM2022★ 8 cited
BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by Network Analysis
Martin Marzidovšek, Vid Podpečan, Erminia Conti +2
BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists' needs and allows them to study the topology and dynam…