Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening. - Leon Kopitar; Leona Cilar; Primoz Kocbek; Gregor Stiglic (KR4HC/ProHealth/TEAAM@AIME, 2019)

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. - Gregor Stiglic; Leon Kopitar; Lucija Gosak; Primoz Kocbek; Zhe He 001; Prithwish Chakraborty; Pablo Meyer 001; Jiang Bian 001 (CoRR, 2023)

Hybrid visualization-based framework for depressive state detection and characterization of atypical patients. - Leon Kopitar; Peter Kokol; Gregor Stiglic (J. Biomed. Informatics, 2023)

Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description. - Leon Kopitar; Gregor Stiglic; Leon Bedrac; Jiang Bian 001 (ICHI, 2024)

Identifying and Decomposing Compound Ingredients in Meal Plans Using Large Language Models. - Leon Kopitar; Leon Bedrac; Larissa J. Strath; Jiang Bian 001; Gregor Stiglic (CoRR, 2024)

Two scholarly publishing cultures? Open access drives a divergence in European academic publishing practices. - Leon Kopitar; Nejc Plohl; Mojca Tancer Verboten; Gregor Stiglic; Roger Watson; Dean Korosak (CoRR, 2024)

Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare. - Leon Kopitar; Primoz Kocbek; Lucija Gosak; Gregor Stiglic (CoRR, 2024)

Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. - Leon Kopitar; Iztok Fister Jr.; Gregor Stiglic (Inf., 2024)

UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text. - Primoz Kocbek; Leon Kopitar; Zhihong Zhang; Emirhan Aydin; Maxim Topaz; Gregor Stiglic (CoRR, 2025)