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Št. zadetkov: 5
Interpretable by design
Kristian Miok, Blaž Škrlj, Marko Robnik Šikonja, Lucian Pârvulescu
Izvirni znanstveni članek
Oznake: modeliranje razširjenosti vrst;veliki jezikovni modeli;interpretabilno strojno učenje;odločitvena drevesa;ekološka pravila;sladkovodni raki;species distribution modelling;large language models;interpretable machine learning;decision trees;ecological rules;freshwater crayfish;
Predictive models in biodiversity research face a persistent trade-off between accuracy and interpretability. Complex machine learning approaches often achieve high predictive power, yet their opacity limits ecological understanding and undermines trust in conservation decision-making. Here we prese ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Beyond niche overlap
Kristian Miok, Olga N. Petko, Marko Robnik Šikonja, Lucian Pârvulescu
Izvirni znanstveni članek
Oznake: biološke invazije;odločitvena drevesa;dendritična omrežja;premik ekološke niše;sladkovodni raki;Hydrography90m;strojno učenje;konservativnost niše;reorganizacija niše;modeliranje razširjenosti vrst;biological invasions;decision trees;dendritic networks;ecological niche shift;freshwater crayfish;machine learning;niche conservatism;niche reorganisation;species distribution modelling;
Aim: Understanding whether invasive species retain or shift their ecological niches has relied on scalar overlap metrics that quantify the magnitude of niche change but not its structure. Here, we test whether biological invasions involve a reorganisation of the environmental axes along which native ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Environmentally grounded pseudo-absence sampling for species distribution models
Kristian Miok, Antonio V. Laza, Blaž Škrlj, Marko Robnik Šikonja, Lucian Pârvulescu
Izvirni znanstveni članek
Oznake: modeliranje razširjenosti vrst;psevdo-odsotnosti;veliki jezikovni modeli;ekološko modeliranje;prostorska ekologija;sladkovodni ekosistemi;raki;priklicno obogatena generacija;species distribution models;pseudo-absence sampling;large language models;ecological modelling;spatial ecology;freshwater ecosystems;crayfish;retrieval-augmented generation;
Aim: Species Distribution Models (SDMs) are widely used in conservation planning, invasive species management and global change assessments. Their reliability depends on both presence and absence data, yet biodiversity databases are dominated by presence records, while true absences are rarely colle ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Threats assessment of the endemic idle crayfish (Austropotamobius bihariensis Pârvulescu, 2019)
Andrei-Robert Ács, Mihaela C. Ion, Kristian Miok, Antonio V. Laza, Alina Pitic, Marko Robnik Šikonja, Lucian Pârvulescu
Izvirni znanstveni članek
Oznake: raki;Austropotamobius bihariensis Pârvulescu;ogrožene vrste;ohranjanje vrst;zaščita;podatkovne vede;crayfish;species conservation;data science;ark site;extinction;geodiversity data;habitat assessment;pressures assessment;protected areas;species conservation plan;distribution modelling;
The idle crayfish (Austropotamobius bihariensis Pârvulescu, 2019), endemic to Romania's Apuseni Mountains, urgently requires a specific conservation plan. Due to its recent description, conservation efforts have been limited, highlighting the need for immediate and practical recommendations to ensur ...
Leto: 2025 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Network-aware environmental trait database for global freshwater crayfish
Olga N. Petko, Kristian Miok, Vanessa Bremerich, Mihaela C. Ion, Yusdiel Torres-Cambas, Merret Buurman, Sami Domisch, Lucian Pârvulescu
Izvirni znanstveni članek
Oznake: sladkovodni raki;podatkovna zbirka okoljskih značilnosti;rečna omrežja;Hydrography90m;modeliranje razširjenosti vrst;freshwater crayfish;environmental trait database;river networks;species distribution modelling;
We present a global environmental trait database for freshwater crayfish (Decapoda: Astacidea), integrating 115,191 georeferenced occurrence records from the World of Crayfish® platform with 398 environmental variables extracted through the Environment90m and GeoFRESH framework at 90 m resolution. U ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 5
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