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Št. zadetkov: 5
ǂAn ǂiterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus)
Elena Gobbo, Oleksandra Topal, Inna Novalija, Dunja Mladenić, Manja Zupan
Izvirni znanstveni članek
Oznake: konji;obnašanje živali;etologija;strah;plašnost;osebnost živali;umetna inteligenca;animal personality;fear-related behaviors;morphology;artificial intelligence;
This study extends previous findings by applying artificial intelligence (AI) methods to a larger dataset to identify key features that predict fear reactivity (i.e., immediate reaction to fear inducing stimuli) and fearfulness (i.e., a stable personality trait) in 101 Lipizzan horses. The analysis ...
Leto: 2025 Vir: Biotehniška fakulteta (UL BF)
Predicting equine behavior from small datasets using machine learning with LLM-generated explanations
Oleksandra Topal, Inna Novalija, Dunja Mladenić, Elena Gobbo, Manja Zupan
Izvirni znanstveni članek
Oznake: konji;obnašanje živali;etologija;plašnost;strojno učenje;umetna inteligenca;machine learning;Lipizzan horses;data analysis;horse fearfulness;supervised learning;horse welfare;
Understanding horse fearfulness is crucial for building strong human–animal relationships, influencing training methods, task selection, and predicting reactions to new stimuli. This interdisciplinary study aimed to identify key characteristics for predicting a horse’s fearfulness. Using classical m ...
Leto: 2025 Vir: Biotehniška fakulteta (UL BF)
Beyond aggregate sentiment
Oleksandra Topal, Inna Novalija, João Pita Costa, Dumitru Roman
Izvirni znanstveni članek
Oznake: applied machine learning;large scale text classification;discourse indicators;transformer-based sentiment analysis;AI-related new headlines;domain-resolved analysis;cross-model validation;large-language models;
This study deploys a scalable machine learning pipeline: combining a transformer-based classifier applied to 2.01 million English-language AI-related news headlines (July 2022–July 2024) with large-language-model and human-annotator validation (three annotators, Fleiss’ 𝜅=0.80 ) on stratified subsa ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Identifying and evaluating emerging scientific trends through temporal n‑gram analysis
Gašper Štimec, Inna Novalija, Janez Brank, Jan Šturm, Oleksandra Topal, Marko Grobelnik, Dumitru Roman
Izvirni znanstveni članek
Oznake: burst detection;artificial intelligence;text mining;
The rapid growth of scientific publishing creates both opportunities and challenges for understanding emerging research trends. Traditional approaches to trend detection, such as citation analyses or latent topic models, often lag behind real developments or lack interpretability. To address these l ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
ǂA ǂmachine learning approach to hydrological event detection from news-informed social media alerts
João Pita Costa, Gerald A. Corzo Perez, Oleksandra Topal, Matjaž Mikoš, Inna Novalija, Rok Orel, Ignacio Casals del Busto, Neena Goveas
Izvirni znanstveni članek
Oznake: umetna inteligenca;pametno upravljanje vodnih virov;strojno učenje;rudarjenje besedil;vizualizacija podatkov;večjezične novice;twitter;odpornost na podnebne spremembe;spletni observatorij;hidrometeorološki ekstremi;artificial intelligence;smart water;machine learning;text mining;data visualisation;multilingual news;Twitter;climate change resilience;web-based observatory;hydrometeorological extremes;
Participatory citizenship plays a critical role in strengthening climate change resilience, par ticularly in the context of natural disasters such as floods and other hydrological extremes. Citizen-generated data shared through social media platforms offer valuable real-time insights that can comple ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 5
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