Gregor Stiglic

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 39

Top Topics

Prediction Model

Diabetes Mellitus

Healthcare Professionals

Top Venues

J. Heal. Informatics Res.

Publications

Leon Kopitar, Iztok Fister Jr., Gregor Stiglic
Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Inf. 15 (3) (2024)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. CoRR (2024)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. CHI (2024)
Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang
Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective. ICHI (2023)
Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang
The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19. J. Heal. Informatics Res. 7 (2) (2023)
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. CoRR (2023)
Leona Cilar Budler, Lucija Gosak, Gregor Stiglic
Review of artificial intelligence-based question-answering systems in healthcare. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform. CoRR (2023)
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. IUI (2023)
Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD (2023)
Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR (2023)
Leon Kopitar, Peter Kokol, Gregor Stiglic
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients. J. Biomed. Informatics 147 (2023)
Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Explaining artificial intelligence with visual analytics in healthcare. WIREs Data Mining Knowl. Discov. 12 (1) (2022)
Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD (2022)
Primoz Kocbek, Lucija Gosak, Kasandra Musovic, Gregor Stiglic
Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study. AIME (2022)
Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek
Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare. ICHI (2022)
Nino Fijacko, Ruth Masterson Creber, Lucija Gosak, Primoz Kocbek, Leona Cilar, Peter Creber, Gregor Stiglic
A Review of Mortality Risk Prediction Models in Smartphone Applications. J. Medical Syst. 45 (12) (2021)
Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner
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. KDD (2021)
Simon Kocbek, Primoz Kocbek, Leona Cilar, Gregor Stiglic
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test. CoRR (2020)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
Interpretability of machine learning-based prediction models in healthcare. WIREs Data Mining Knowl. Discov. 10 (5) (2020)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
Interpretability of machine learning based prediction models in healthcare. CoRR (2020)
Nino Fijacko, Lucija Gosak, Primoz Kocbek, Leona Cilar, Andrej Markota, Gregor Stiglic
Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records. MIE (2020)
Leona Cilar, Majda Pajnkihar, Gregor Stiglic
Interpreting influence of feature ranking in derivation of prediction models for screening questionnaires optimization. ICDM (2020)
Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
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 2019 (2019)
Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. ICONIP (4) (2019)
Leon Kopitar, Leona Cilar, Primoz Kocbek, Gregor Stiglic
Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening. KR4HC/ProHealth/TEAAM@AIME (2019)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Aziz Sheikh, Majda Pajnkihar
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. 25 (3) (2019)
Andrej Fajfar, Manuel Campos, Francisco Palacios, Bernardo Cánovas-Segura, Gregor Stiglic, Roque Marín
Risk Factors for Development of Antibiotic Resistance of Enterococcus Faecium to Vancomycin. A Subgroup Discovery Approach. CAEPIA (2018)
Xia Hu, Gregor Stiglic, Fei Wang
Special Issue on Data Mining in Health Informatics. J. Heal. Informatics Res. 2 (4) (2018)
Ales Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat
Stability selection using a genetic algorithm and logistic linear regression on healthcare records. GECCO (Companion) (2017)
Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher Yang
Data Mining for Medical Informatics (DMMI) - Learning Health. AMIA (2016)
Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson
Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. 29 (4) (2015)
Goran Hrovat, Iztok Fister Jr., Katsiaryna Yermak, Gregor Stiglic, Iztok Fister
Interestingness measure for mining sequential patterns in sports. J. Intell. Fuzzy Syst. 29 (5) (2015)
David J. Odgers, Rave Harpaz, Alison Callahan, Gregor Stiglic, Nigam H. Shah
Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. Pacific Symposium on Biocomputing (2015)
Igor Pernek, Gregorij Kurillo, Gregor Stiglic, Ruzena Bajcsy
Recognizing the intensity of strength training exercises with wearable sensors. J. Biomed. Informatics 58 (2015)
Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME (2015)
Nino Fijacko, Petra Povalej Brzan, Gregor Stiglic
Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. J. Medical Syst. 39 (10) (2015)
Fei Wang, Gregor Stiglic
Data Analytics in Healthcare Informatics. ICHI (2015)
Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO (2015)
Goran Hrovat, Gregor Stiglic, Peter Kokol, Milan Ojstersek
Contrasting temporal trend discovery for large healthcare databases. Comput. Methods Programs Biomed. 113 (1) (2014)
Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic
Readmission Classification Using Stacked Regularized Logistic Regression Models. AMIA (2014)
Gregor Stiglic
Tutorial: Developing and Deploying Healthcare Predictive Models in R. ICHI (2014)
Andrej Duh, Gregor Stiglic, Dean Korosak
Enhancing Identification of Opinion Spammer Groups. MindTrek (2013)
Gregor Stiglic, Adam Davey, Zoran Obradovic
Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions. ICHI (2013)
Igor Pernek, Gregor Stiglic, Peter Kokol
How Hard Am I Training? Using Smart Phones to Estimate Sport Activity Intensity. ICDCS Workshops (2012)
Peter Kokol, Sandi Pohorec, Gregor Stiglic, Vili Podgorelec
Evolutionary design of decision trees for medical application. WIREs Data Mining Knowl. Discov. 2 (3) (2012)
Peter Kokol, Gregor Stiglic
PRIMER ICT: A new blended learning paradigm for teaching ICT skills to older people. CBMS (2011)
Gregor Stiglic, Peter Kokol
Interpretability of Sudden Concept Drift in Medical Informatics Domain. ICDM Workshops (2011)
Gregor Stiglic, Simon Kocbek, Igor Pernek, Peter Kokol
Tuning Decision Tree Models by Imposing Visual Constraints. MLDM Posters (2011)
Simon Kocbek, Rune Sætre, Gregor Stiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou, Jun'ichi Tsujii
Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications. ICCABS (2011)
Simon Kocbek, Rune Sætre, Gregor Stiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou, Jun'ichi Tsujii
AGRA: analysis of gene ranking algorithms. Bioinform. 27 (8) (2011)
Gregor Stiglic, Igor Pernek, Peter Kokol
Identification of Specific Gene Expression Signatures in Oncology. BIOCOMP (2010)
Gregor Stiglic, Mateja Bajgot, Peter Kokol
Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays. BMC Bioinform. 11 (2010)
Gregor Stiglic, Juan José Rodríguez Diez, Peter Kokol
Finding optimal classifiers for small feature sets in genomics and proteomics. Neurocomputing 73 (13-15) (2010)
Simon Kocbek, Gregor Stiglic, Igor Pernek, Peter Kokol
Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem. CBMS (2010)
Gregor Stiglic, Simon Kocbek, Peter Kokol
Unsupervised variance based preprocessing of microarray data. CBMS (2009)
Miljenko Krizmaric, Mateja Verlic, Gregor Stiglic, Stefek Grmec, Peter Kokol
Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest. Comput. Methods Programs Biomed. 95 (2-S1) (2009)
Mateja Verlic, Gregor Stiglic, Simon Kocbek, Peter Kokol
Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007. CBMS (2008)
Gregor Stiglic, Juan J. Rodríguez Diez, Peter Kokol
Feature Selection and Classification for Small Gene Sets. PRIB (2008)
Gregor Stiglic, Nawaz Khan, Mateja Verlic, Peter Kokol
Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study. PRIB (2007)
Gregor Stiglic, Peter Kokol
Effectiveness of Rotation Forest in Meta-learning Based Gene Expression Classification. CBMS (2007)
Gregor Stiglic, Peter Kokol
Evolutionary approach to combined multiple models tuning. Int. J. Knowl. Based Intell. Eng. Syst. 11 (4) (2007)
Gregor Stiglic, Matej Mertik, Peter Kokol, Maurizio Pighin
Detecting Fault Modules Using Bioinformatics Techniques. Int. J. Softw. Eng. Knowl. Eng. 17 (1) (2007)
Gregor Stiglic, Peter Kokol
Evolutionary Tuning of Combined Multiple Models. KES (2) (2006)
Matej Mertik, Mitja Lenic, Gregor Stiglic, Peter Kokol
Estimating Software Quality with Advanced Data Mining Techniques. ICSEA (2006)
Gregor Stiglic, Matej Mertik, Vili Podgorelec, Peter Kokol
Using Visual Interpretation of Small Ensembles in Microarray Analysis. CBMS (2006)
Miljenko Krizmaric, Tanja Zmauc, Dusanka Micetic Turk, Gregor Stiglic, Peter Kokol
Time Allocation Simulation Model of Clean and Dirty Pathways in Hospital Environment. CBMS (2005)
Peter Kokol, Petra Povalej, Mitja Lenic, Gregor Stiglic
Building Classifier Cellular Automata. ACRI (2004)
Gregor Stiglic, Peter Kokol
Sizing tumors with TNM Classifications and Rough Sets Method. CBMS (2004)
Petra Povalej, Gregor Stiglic, Peter Kokol, Bruno Stiglic, Irene Litvan, Dusan Flisar
Verifying Clinical Criteria for Parkinsonian Disorders with CART Decision Trees. KES (2004)
Petra Povalej, Mitja Lenic, Gregor Stiglic, Tatjana Welzer, Peter Kokol
Improving Classification Accuracy Using Cellular Automata. KES (2004)
Gregor Stiglic, Peter Kokol
Bioinformatics approach to data mining of software bases. IASTED Conf. on Software Engineering and Applications (2004)