Gregor Stiglic
Orcid: 0000-0002-0183-8679
According to our database1,
Gregor Stiglic
authored at least 76 papers
between 2004 and 2024.
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Bibliography
2024
Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus.
Inf., March, 2024
Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare.
CoRR, 2024
Two scholarly publishing cultures? Open access drives a divergence in European academic publishing practices.
CoRR, 2024
Identifying and Decomposing Compound Ingredients in Meal Plans Using Large Language Models.
CoRR, 2024
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients.
J. Biomed. Informatics, November, 2023
The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19.
J. Heal. Informatics Res., June, 2023
WIREs Data. Mining. Knowl. Discov., 2023
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform.
CoRR, 2023
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI.
CoRR, 2023
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study.
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
J. Medical Syst., 2021
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test.
CoRR, 2020
Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Interpreting influence of feature ranking in derivation of prediction models for screening questionnaires optimization.
Proceedings of the Advances in Data Mining, 2020
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.
Health Informatics J., 2019
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
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening.
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019
2018
Risk Factors for Development of Antibiotic Resistance of Enterococcus Faecium to Vancomycin. A Subgroup Discovery Approach.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Stability selection using a genetic algorithm and logistic linear regression on healthcare records.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Proceedings of the AMIA 2016, 2016
2015
J. Medical Syst., 2015
J. Intell. Fuzzy Syst., 2015
J. Biomed. Informatics, 2015
Data Min. Knowl. Discov., 2015
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples.
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Comput. Methods Programs Biomed., 2014
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014
Proceedings of the AMIA 2014, 2014
2013
Proceedings of the International Conference on Making Sense of Converging Media, 2013
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013
2012
WIREs Data Mining Knowl. Discov., 2012
Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCS 2012 Workshops), 2012
2011
Tuning Decision Tree Models by Imposing Visual Constraints.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011
2010
Neurocomputing, 2010
Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays.
BMC Bioinform., 2010
Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
Identification of Specific Gene Expression Signatures in Oncology.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
Comput. Methods Programs Biomed., 2009
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009
2008
Knowledge Extraction from Microarray Datasets Using Combined Multiple Models to Predict Leukemia Types.
Proceedings of the Data Mining: Foundations and Practice, 2008
Proceedings of the Pattern Recognition in Bioinformatics, 2008
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
2007
Int. J. Knowl. Based Intell. Eng. Syst., 2007
Int. J. Softw. Eng. Knowl. Eng., 2007
Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study.
Proceedings of the Pattern Recognition in Bioinformatics, 2007
Effectiveness of Rotation Forest in Meta-learning Based Gene Expression Classification.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007
2006
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Proceedings of the International Conference on Software Engineering Advances (ICSEA 2006), October 28, 2006
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
2005
Time Allocation Simulation Model of Clean and Dirty Pathways in Hospital Environment.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Bioinformatics approach to data mining of software bases.
Proceedings of the IASTED Conference on Software Engineering and Applications, 2004
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004