Building Classifier Cellular Automata. - Peter Kokol; Petra Povalej; Mitja Lenic; Gregor Stiglic (ACRI, 2004)

Sizing tumors with TNM Classifications and Rough Sets Method. - Gregor Stiglic; Peter Kokol (CBMS, 2004)

Bioinformatics approach to data mining of software bases. - Gregor Stiglic; Peter Kokol (IASTED Conf. on Software Engineering and Applications, 2004)

Improving Classification Accuracy Using Cellular Automata. - Petra Povalej; Mitja Lenic; Gregor Stiglic; Tatjana Welzer; Peter Kokol (KES, 2004)

Verifying Clinical Criteria for Parkinsonian Disorders with CART Decision Trees. - Petra Povalej; Gregor Stiglic; Peter Kokol; Bruno Stiglic; Irene Litvan; Dusan Flisar (KES, 2004)

Time Allocation Simulation Model of Clean and Dirty Pathways in Hospital Environment. - Miljenko Krizmaric; Tanja Zmauc; Dusanka Micetic Turk; Gregor Stiglic; Peter Kokol (CBMS, 2005)

Using Visual Interpretation of Small Ensembles in Microarray Analysis. - Gregor Stiglic; Matej Mertik; Vili Podgorelec; Peter Kokol (CBMS, 2006)

Estimating Software Quality with Advanced Data Mining Techniques. - Matej Mertik; Mitja Lenic; Gregor Stiglic; Peter Kokol (ICSEA, 2006)

Evolutionary Tuning of Combined Multiple Models. - Gregor Stiglic; Peter Kokol (KES (2), 2006)

Effectiveness of Rotation Forest in Meta-learning Based Gene Expression Classification. - Gregor Stiglic; Peter Kokol (CBMS, 2007)

Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study. - Gregor Stiglic; Nawaz Khan; Mateja Verlic; Peter Kokol (PRIB, 2007)

Detecting Fault Modules Using Bioinformatics Techniques. - Gregor Stiglic; Matej Mertik; Peter Kokol; Maurizio Pighin (Int. J. Softw. Eng. Knowl. Eng., 2007)

Evolutionary approach to combined multiple models tuning. - Gregor Stiglic; Peter Kokol (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007. - Mateja Verlic; Gregor Stiglic; Simon Kocbek; Peter Kokol (CBMS, 2008)

Feature Selection and Classification for Small Gene Sets. - Gregor Stiglic; Juan J. Rodríguez Diez; Peter Kokol (PRIB, 2008)

Knowledge Extraction from Microarray Datasets Using Combined Multiple Models to Predict Leukemia Types. - Gregor Stiglic; Nawaz Khan; Peter Kokol (Data Mining: Foundations and Practice, 2008)

Unsupervised variance based preprocessing of microarray data. - Gregor Stiglic; Simon Kocbek; Peter Kokol (CBMS, 2009)

Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest. - Miljenko Krizmaric; Mateja Verlic; Gregor Stiglic; Stefek Grmec; Peter Kokol (Comput. Methods Programs Biomed., 2009)

Discovery Systems. - Petra Povalej; Mateja Verlic; Gregor Stiglic (Encyclopedia of Complexity and Systems Science, 2009)

Identification of Specific Gene Expression Signatures in Oncology. - Gregor Stiglic; Igor Pernek; Peter Kokol (BIOCOMP, 2010)

Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem. - Simon Kocbek; Gregor Stiglic; Igor Pernek; Peter Kokol (CBMS, 2010)

Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays. - Gregor Stiglic; Mateja Bajgot; Peter Kokol (BMC Bioinform., 2010)

Finding optimal classifiers for small feature sets in genomics and proteomics. - Gregor Stiglic; Juan José Rodríguez Diez; Peter Kokol (Neurocomputing, 2010)

PRIMER ICT: A new blended learning paradigm for teaching ICT skills to older people. - Peter Kokol; Gregor Stiglic (CBMS, 2011)

Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications. - Simon Kocbek; Rune Sætre; Gregor Stiglic; Jin-Dong Kim; Igor Pernek; Yoshimasa Tsuruoka; Peter Kokol; Sophia Ananiadou; Jun'ichi Tsujii (ICCABS, 2011)

Interpretability of Sudden Concept Drift in Medical Informatics Domain. - Gregor Stiglic; Peter Kokol (ICDM Workshops, 2011)

Tuning Decision Tree Models by Imposing Visual Constraints. - Gregor Stiglic; Simon Kocbek; Igor Pernek; Peter Kokol (MLDM Posters, 2011)

AGRA: analysis of gene ranking algorithms. - Simon Kocbek; Rune Sætre; Gregor Stiglic; Jin-Dong Kim; Igor Pernek; Yoshimasa Tsuruoka; Peter Kokol; Sophia Ananiadou; Jun'ichi Tsujii (Bioinform., 2011)

How Hard Am I Training? Using Smart Phones to Estimate Sport Activity Intensity. - Igor Pernek; Gregor Stiglic; Peter Kokol (ICDCS Workshops, 2012)

Evolutionary design of decision trees for medical application. - Peter Kokol; Sandi Pohorec; Gregor Stiglic; Vili Podgorelec (WIREs Data Mining Knowl. Discov., 2012)

Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions. - Gregor Stiglic; Adam Davey; Zoran Obradovic (ICHI, 2013)

Enhancing Identification of Opinion Spammer Groups. - Andrej Duh; Gregor Stiglic; Dean Korosak (MindTrek, 2013)

Readmission Classification Using Stacked Regularized Logistic Regression Models. - Gregor Stiglic; Fei Wang 001; Adam Davey; Zoran Obradovic (AMIA, 2014)

Tutorial: Developing and Deploying Healthcare Predictive Models in R. - Gregor Stiglic (ICHI, 2014)

Contrasting temporal trend discovery for large healthcare databases. - Goran Hrovat; Gregor Stiglic; Peter Kokol; Milan Ojstersek (Comput. Methods Programs Biomed., 2014)

Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. - Sandro Radovanovic; Milan Vukicevic; Ana Kovacevic; Gregor Stiglic; Zoran Obradovic (AIME, 2015)

Data Analytics in Healthcare Informatics. - Fei Wang 001; Gregor Stiglic (ICHI, 2015)

Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. - Milan Vukicevic; Sandro Radovanovic; Ana Kovacevic; Gregor Stiglic; Zoran Obradovic (KMO, 2015)

Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. - David J. Odgers; Rave Harpaz; Alison Callahan; Gregor Stiglic; Nigam H. Shah (Pacific Symposium on Biocomputing, 2015)

Guest editorial: Special issue on data mining for medicine and healthcare. - Fei Wang 001; Gregor Stiglic; Zoran Obradovic; Ian Davidson (Data Min. Knowl. Discov., 2015)

Recognizing the intensity of strength training exercises with wearable sensors. - Igor Pernek; Gregorij Kurillo; Gregor Stiglic; Ruzena Bajcsy (J. Biomed. Informatics, 2015)

Interestingness measure for mining sequential patterns in sports. - Goran Hrovat; Iztok Fister Jr.; Katsiaryna Yermak; Gregor Stiglic; Iztok Fister 001 (J. Intell. Fuzzy Syst., 2015)

Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. - Nino Fijacko; Petra Povalej Brzan; Gregor Stiglic (J. Medical Syst., 2015)

Data Mining for Medical Informatics (DMMI) - Learning Health. - Fei Wang 001; Gregor Stiglic; Mihaela van der Schaar; David A. Sontag; Christopher C. Yang (AMIA, 2016)

Stability selection using a genetic algorithm and logistic linear regression on healthcare records. - Ales Zamuda; Christine Zarges; Gregor Stiglic; Goran Hrovat (GECCO (Companion), 2017)

Risk Factors for Development of Antibiotic Resistance of Enterococcus Faecium to Vancomycin. A Subgroup Discovery Approach. - Andrej Fajfar; Manuel Campos; Francisco Palacios; Bernardo Cánovas-Segura; Gregor Stiglic; Roque Marín (CAEPIA, 2018)

Special Issue on Data Mining in Health Informatics. - Xia Hu 001; Gregor Stiglic; Fei Wang 001 (J. Heal. Informatics Res., 2018)

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)

Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. - Simon Kocbek; Primoz Kocbek; Tina Zupanic; Gregor Stiglic; Bogdan Gabrys (ICONIP (4), 2019)

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. - Primoz Kocbek; Nino Fijacko; Cristina Soguero-Ruíz; Karl Øyvind Mikalsen; Uros Maver; Petra Povalej Brzan; Andraz Stozer; Robert Jenssen; Stein Olav Skrøvseth; Gregor Stiglic (Comput. Math. Methods Medicine, 2019)

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. - Gregor Stiglic; Primoz Kocbek; Nino Fijacko; Aziz Sheikh; Majda Pajnkihar (Health Informatics J., 2019)

Interpreting influence of feature ranking in derivation of prediction models for screening questionnaires optimization. - Leona Cilar; Majda Pajnkihar; Gregor Stiglic (ICDM, 2020)

Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records. - Nino Fijacko; Lucija Gosak; Primoz Kocbek; Leona Cilar; Andrej Markota; Gregor Stiglic (MIE, 2020)

Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test. - Simon Kocbek; Primoz Kocbek; Leona Cilar; Gregor Stiglic (CoRR, 2020)

Interpretability of machine learning-based prediction models in healthcare. - Gregor Stiglic; Primoz Kocbek; Nino Fijacko; Marinka Zitnik; Katrien Verbert; Leona Cilar (WIREs Data Mining Knowl. Discov., 2020)

KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. - Fei Wang 001; Prithwish Chakraborty; Tao Xu; Pei-Yun Sabrina Hsueh; Xudong Sun 014; Gregor Stiglic; Gracy Crane; Jiang Bian 001; Laleh Haghverdi; Lixia Yao; Florian Buettner 001 (KDD, 2021)

A Review of Mortality Risk Prediction Models in Smartphone Applications. - Nino Fijacko; Ruth Masterson Creber; Lucija Gosak; Primoz Kocbek; Leona Cilar; Peter Creber; Gregor Stiglic (J. Medical Syst., 2021)

Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study. - Primoz Kocbek; Lucija Gosak; Kasandra Musovic; Gregor Stiglic (AIME, 2022)

Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare. - Gregor Stiglic; Kasandra Musovic; Lucija Gosak; Nino Fijacko; Primoz Kocbek (ICHI, 2022)

Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. - Tao Xu; Fei Wang 001; Prithwish Chakraborty; Pei-Yun Sabrina Hsueh; Gregor Stiglic; Jiang Bian 001; Lixia Yao; Alexej Gossmann; Florian Buettner 001 (KDD, 2022)

Explaining artificial intelligence with visual analytics in healthcare. - Jeroen Ooge; Gregor Stiglic; Katrien Verbert (WIREs Data Mining Knowl. Discov., 2022)

Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective. - Carlo Combi; Julio C. Facelli; Peter Haddawy; John H. Holmes; Sabine Koch; Hongfang Liu; Jochen Meyer 001; Mor Peleg; Giuseppe Pozzi; Gregor Stiglic; Pierangelo Veltri; Christopher C. Yang (ICHI, 2023)

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. - Aditya Bhattacharya; Jeroen Ooge; Gregor Stiglic; Katrien Verbert (IUI, 2023)

Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. - Tao Xu; Fei Wang 001; Prithwish Chakraborty; Pei-Yun Sabrina Hsueh; Gregor Stiglic; Jiang Bian 001; Lixia Yao; Alexej Gossmann; Florian Buettner 001 (KDD, 2023)

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)

Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform. - Aditya Bhattacharya; Simone Stumpf; Lucija Gosak; Gregor Stiglic; Katrien Verbert (CoRR, 2023)

Review of artificial intelligence-based question-answering systems in healthcare. - Leona Cilar Budler; Lucija Gosak; Gregor Stiglic (WIREs Data. Mining. Knowl. Discov., 2023)

The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19. - Carlo Combi; Julio C. Facelli; Peter Haddawy; John H. Holmes; Sabine Koch; Hongfang Liu; Jochen Meyer 001; Mor Peleg; Giuseppe Pozzi; Gregor Stiglic; Pierangelo Veltri; Christopher C. Yang (J. Heal. Informatics Res., 2023)

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

EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. - Aditya Bhattacharya; Simone Stumpf; Lucija Gosak; Gregor Stiglic; Katrien Verbert (CHI, 2024)

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

Message from the Program Chairs; ICHI 2024. - Yanshan Wang; Yifan Peng; Mei Liu; Xinning Gui; Zhengxing Huang; Gregor Stiglic (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)

Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction. - Reza Samimi; Aditya Bhattacharya; Lucija Gosak; Gregor Stiglic; Katrien Verbert (CUI, 2025)

Large Language Models in Healthcare: Prompt Engineering Competition. - Primoz Kocbek; Lucija Gosak; Gregor Stiglic (ICHI, 2025)

Reporting guideline for chatbot health advice studies: The CHART statement. - Bright Huo; Gary S. Collins; David Chartash; Arun Thirunavukarasu; Annette Flanagin; Alfonso Iorio; Giovanni E. Cacciamani; Xi Chen; Nan Liu; Piyush Mathur; An-Wen Chan; Christine Laine; et al. (Artif. Intell. Medicine, 2025)

Rapid review: Growing usage of Multimodal Large Language Models in healthcare. - Pallavi Gupta; Zhihong Zhang; Meijia Song; Martin Michalowski; Xiao Hu; Gregor Stiglic; Maxim Topaz (J. Biomed. Informatics, 2025)

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)

A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare. - Leona Cilar Budler; Hongyu Chen; Aokun Chen; Maxim Topaz; Wilson Tam; Jiang Bian 001; Gregor Stiglic (WIREs Data. Mining. Knowl. Discov., 2025)