EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions

no code implementations • EACL (Hackashop) 2021 • Senja Pollak, Marko Robnik-Šikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjić, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulčar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrač, Blaž Škrlj, Martin Žnidaršič, Andraž Pelicon, Boshko Koloski, Vid Podpečan, Janez Kranjc, Shane Sheehan, Emanuela Boros, Jose G. Moreno, Antoine Doucet, Hannu Toivonen

This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program.

Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs

1 code implementation • 7 May 2024 • Martin Marzidovšek, Janja Francé, Vid Podpečan, Stanka Vadnjal, Jožica Dolenc, Patricija Mozetič

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.

BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by Network Analysis

1 code implementation • 21 Mar 2022 • Martin Marzidovšek, Vid Podpečan, Erminia Conti, Marko Debeljak, Christian Mulder

BEFANA is a free and open-source software tool for ecological network analysis and visualisation.

BIG-bench Machine Learning