Gregor Stiglic

According to our database1, Gregor Stiglic authored at least 70 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations.
CoRR, 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

Review of artificial intelligence-based question-answering systems in healthcare.
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
Explaining artificial intelligence with visual analytics in healthcare.
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
A Review of Mortality Risk Prediction Models in Smartphone Applications.
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
Interpretability of machine learning-based prediction models in healthcare.
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
Special Issue on Data Mining in Health Informatics.
J. Heal. Informatics Res., 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
Data Mining for Medical Informatics (DMMI) - Learning Health.
Proceedings of the AMIA 2016, 2016

2015
Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review.
J. Medical Syst., 2015

Interestingness measure for mining sequential patterns in sports.
J. Intell. Fuzzy Syst., 2015

Recognizing the intensity of strength training exercises with wearable sensors.
J. Biomed. Informatics, 2015

Guest editorial: Special issue on data mining for medicine and healthcare.
Data Min. Knowl. Discov., 2015

Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance.
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

Data Analytics in Healthcare Informatics.
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
Contrasting temporal trend discovery for large healthcare databases.
Comput. Methods Programs Biomed., 2014

Tutorial: Developing and Deploying Healthcare Predictive Models in R.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

Readmission Classification Using Stacked Regularized Logistic Regression Models.
Proceedings of the AMIA 2014, 2014

2013
Enhancing Identification of Opinion Spammer Groups.
Proceedings of the International Conference on Making Sense of Converging Media, 2013

Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

2012
Evolutionary design of decision trees for medical application.
WIREs Data Mining Knowl. Discov., 2012

How Hard Am I Training? Using Smart Phones to Estimate Sport Activity Intensity.
Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCS 2012 Workshops), 2012

2011
AGRA: analysis of gene ranking algorithms.
Bioinform., 2011

Tuning Decision Tree Models by Imposing Visual Constraints.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Interpretability of Sudden Concept Drift in Medical Informatics Domain.
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

PRIMER ICT: A new blended learning paradigm for teaching ICT skills to older people.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
Finding optimal classifiers for small feature sets in genomics and proteomics.
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
Discovery Systems.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest.
Comput. Methods Programs Biomed., 2009

Unsupervised variance based preprocessing of microarray data.
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

Feature Selection and Classification for Small Gene Sets.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
Evolutionary approach to combined multiple models tuning.
Int. J. Knowl. Based Intell. Eng. Syst., 2007

Detecting Fault Modules Using Bioinformatics Techniques.
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
Evolutionary Tuning of Combined Multiple Models.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Estimating Software Quality with Advanced Data Mining Techniques.
Proceedings of the International Conference on Software Engineering Advances (ICSEA 2006), October 28, 2006

Using Visual Interpretation of Small Ensembles in Microarray Analysis.
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
Verifying Clinical Criteria for Parkinsonian Disorders with CART Decision Trees.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Improving Classification Accuracy Using Cellular Automata.
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

Sizing tumors with TNM Classifications and Rough Sets Method.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

Building Classifier Cellular Automata.
Proceedings of the Cellular Automata, 2004


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