Primoz Kocbek

22 papers B 2Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 B conf
Exploration of Augmentation Strategies in Multi-Modal Retrieval-Augmented Generation for the Biomedical Domain*: *A Case Study Evaluating Question Answering in Glycobiology.
IEEE Big Data
Primoz Kocbek, Azra Frkatovic-Hodzic, Dora Lalic, Vivian Hui, Gordan Lauc, Gregor Stiglic
2025 J jnl
Exploration of Augmentation Strategies in Multi-modal Retrieval-Augmented Generation for the Biomedical Domain: A Case Study Evaluating Question Answering in Glycobiology.
CoRR
Primoz Kocbek, Azra Frkatovic-Hodzic, Dora Lalic, Vivian Hui, Gordan Lauc, Gregor Stiglic
2025 — conf
Large Language Models in Healthcare: Prompt Engineering Competition.
ICHI
Primoz Kocbek, Lucija Gosak, Gregor Stiglic
2025 — conf
Plain Language Adaptations of Biomedical Text Using LLMs: Comparision of Evaluation Metrics.
MedInfo
Primoz Kocbek, Leon Kopitar, Gregor Stiglic
2025 J jnl
Plain language adaptations of biomedical text using LLMs: Comparision of evaluation metrics.
CoRR
Primoz Kocbek, Leon Kopitar, Gregor Stiglic
2025 J jnl
UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text.
CoRR
Primoz Kocbek, Leon Kopitar, Zhihong Zhang, Emirhan Aydin, Maxim Topaz, Gregor Stiglic
2025 — conf
UM_FHS at the CLEF 2025 SimpleText Track: Comparing No-Context and Fine-Tune Approaches for GPT-4.1 Models in Sentence and Document-Level Text Simplification.
CLEF (Working Notes)
Primoz Kocbek, Gregor Stiglic
2025 J jnl
UM_FHS at the CLEF 2025 SimpleText Track: Comparing No-Context and Fine-Tune Approaches for GPT-4.1 Models in Sentence and Document-Level Text Simplification.
CoRR
Primoz Kocbek, Gregor Stiglic
2024 J jnl
Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare.
CoRR
Leon Kopitar, Primoz Kocbek, Lucija Gosak, Gregor Stiglic
2024 — conf
UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text.
TREC
Primoz Kocbek, Leon Kopitar, Zhihong Zhang, Emirhan Aydin, Maxim Topaz, Gregor Stiglic
2023 J jnl
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI.
CoRR
Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
2022 B conf
Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study.
AIME
Primoz Kocbek, Lucija Gosak, Kasandra Musovic, Gregor Stiglic
2022 — conf
Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare.
ICHI
Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek
2021 J jnl
A Review of Mortality Risk Prediction Models in Smartphone Applications.
J. Medical Syst.
Nino Fijacko, Ruth Masterson Creber, Lucija Gosak, Primoz Kocbek, Leona Cilar, Peter Creber, Gregor Stiglic
2020 — conf
Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records.
MIE
Nino Fijacko, Lucija Gosak, Primoz Kocbek, Leona Cilar, Andrej Markota, Gregor Stiglic
2020 J jnl
Interpretability of machine learning based prediction models in healthcare.
CoRR
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
2020 J jnl
Interpretability of machine learning-based prediction models in healthcare.
WIREs Data Mining Knowl. Discov.
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
2020 J jnl
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test.
CoRR
Simon Kocbek, Primoz Kocbek, Leona Cilar, Gregor Stiglic
2019 J jnl
Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care.
Health Informatics J.
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Aziz Sheikh, Majda Pajnkihar
2019 — conf
Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening.
KR4HC/ProHealth/TEAAM@AIME
Leon Kopitar, Leona Cilar, Primoz Kocbek, Gregor Stiglic
2019 J jnl
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.
Comput. Math. Methods Medicine
Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
2019 — conf
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients.
ICONIP (4)
Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys