Gregor Stiglic

104 papers A* 5A 2B 14C 1Misc 3Journal 41Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare. WIREs Data. Mining. Knowl. Discov. Leona Cilar Budler, Hongyu Chen, Aokun Chen, Maxim Topaz, Wilson Tam, Jiang Bian, Gregor Stiglic
2025	—	`conf`	Do Nursing Students Write More Polite Health Related Prompts in Chatbots Compared to Engineering Students? MedInfo Nino Fijacko, Adrijana Svensek, Lucija Gosak, Brigitte Fong Yeong Woo, Jiyoun Song, Stefan Kohek, Gregor Stiglic
2025	J	`jnl`	Ethical approval and informed consent in mental health research: a scoping review. AI Soc. Leona Cilar Budler, Gregor Stiglic
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`	Exploring the Key Features of Mobile Application for Type 2 Diabetes Management. MedInfo Lucija Gosak, Adrijana Svensek, Gregor Stiglic
2025	—	`conf`	How Does Mobile Technology Shape the Perceptions of People with Type 2 Diabetes? MedInfo Lucija Gosak, Adrijana Svensek, Gregor Stiglic
2025	—	`conf`	LLM in Personalized Health: Automating HEI Scoring. MedInfo Leon Kopitar, Gregor Stiglic
2025	—	`conf`	Large Language Models in Healthcare: Prompt Engineering Competition. ICHI Primoz Kocbek, Lucija Gosak, Gregor Stiglic
2025	—	`conf`	Petal-x Visualization for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: An Evaluation. MedInfo Adrijana Svensek, Diego Rojo, Lucija Gosak, Katrien Verbert, Zalika Klemenc Ketis, Mateja Lorber, 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`	Privacy Challenges and Solutions in Retrieval-Augmented Generation-Enhanced LLMs for Healthcare Chatbots: A Review of Applications, Risks, and Future Directions. CoRR Shaowei Guan, Hin Chi Kwok, Ngai Fong Law, Gregor Stiglic, Harry Qin, Vivian Hui
2025	J	`jnl`	Rapid review: Growing usage of Multimodal Large Language Models in healthcare. J. Biomed. Informatics Pallavi Gupta, Zhihong Zhang, Meijia Song, Martin Michalowski, Xiao Hu, Gregor Stiglic, Maxim Topaz
2025	J	`jnl`	Reporting guideline for chatbot health advice studies: The CHART statement. Artif. Intell. Medicine 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, Daniela Pacella, Michael Berkwits, Stavros A. Antoniou, Jennifer C. Camaradou, Carolyn Canfield, Michael Mittelman, Timothy Feeney, Elizabeth Loder, Riaz Agha, Ashirbani Saha, Julio Mayol, Anthony Sunjaya, Hugh Harvey, Jeremy Y. Ng, Tyler McKechnie, Yung Lee, Nipun Verma, Gregor Stiglic, Melissa McCradden, Karim Ramji, Vanessa Boudreau, Monica Ortenzi, Joerg Meerpohl, Per Olav Vandvik, Thomas Agoritsas, Diana Samuel, Helen Frankish, Michael Anderson, Xiaomei Yao, Stacy Loeb, Cynthia Lokker, Xiaoxuan Liu, Eliseo Guallar, Gordon Henry Guyatt
2025	—	`conf`	The Role of Continuous Glucose Monitoring in Supporting Lifestyle Changes for Cardiovascular Disease Prevention: A Randomized Clinical Trial. MedInfo Adrijana Svensek, Lucija Gosak, Mateja Lorber, Zalika Klemenc Ketis, 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
2025	—	`conf`	Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction. CUI Reza Samimi, Aditya Bhattacharya, Lucija Gosak, Gregor Stiglic, Katrien Verbert
2025	J	`jnl`	Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction. CoRR Reza Samimi, Aditya Bhattacharya, Lucija Gosak, Gregor Stiglic, Katrien Verbert
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	J	`jnl`	EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. CoRR Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
2024	A*	`conf`	EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. CHI Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
2024	J	`jnl`	Identifying and Decomposing Compound Ingredients in Meal Plans Using Large Language Models. CoRR Leon Kopitar, Leon Bedrac, Larissa J. Strath, Jiang Bian, Gregor Stiglic
2024	—	`conf`	Message from the Program Chairs; ICHI 2024. ICHI Yanshan Wang, Yifan Peng, Mei Liu, Xinning Gui, Zhengxing Huang, Gregor Stiglic
2024	—	`conf`	Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description. ICHI Leon Kopitar, Gregor Stiglic, Leon Bedrac, Jiang Bian
2024	J	`jnl`	Two scholarly publishing cultures? Open access drives a divergence in European academic publishing practices. CoRR Leon Kopitar, Nejc Plohl, Mojca Tancer Verboten, Gregor Stiglic, Roger Watson, Dean Korosak
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
2024	J	`jnl`	Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Inf. Leon Kopitar, Iztok Fister Jr., Gregor Stiglic
2023	B	`ed.`	Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings AIME Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker
2023	A	`conf`	Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. IUI Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
2023	J	`jnl`	Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. CoRR Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
2023	J	`jnl`	Hybrid visualization-based framework for depressive state detection and characterization of atypical patients. J. Biomed. Informatics Leon Kopitar, Peter Kokol, 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
2023	J	`jnl`	Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform. CoRR Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
2023	A	`ed.`	Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023 SDM Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic
2023	—	`conf`	Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective. ICHI 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
2023	J	`jnl`	Review of artificial intelligence-based question-answering systems in healthcare. WIREs Data. Mining. Knowl. Discov. Leona Cilar Budler, Lucija Gosak, Gregor Stiglic
2023	J	`jnl`	The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19. J. Heal. Informatics Res. 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
2023	A*	`conf`	Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2022	J	`jnl`	Explaining artificial intelligence with visual analytics in healthcare. WIREs Data Mining Knowl. Discov. Jeroen Ooge, Gregor Stiglic, Katrien Verbert
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
2022	A*	`conf`	Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
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
2021	A*	`conf`	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 Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner
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	A*	`conf`	Interpreting influence of feature ranking in derivation of prediction models for screening questionnaires optimization. ICDM Leona Cilar, Majda Pajnkihar, Gregor Stiglic
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	—	`ed.`	Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers KR4HC/ProHealth/TEAAM@AIME Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, 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
2018	—	`conf`	Risk Factors for Development of Antibiotic Resistance of Enterococcus Faecium to Vancomycin. A Subgroup Discovery Approach. CAEPIA Andrej Fajfar, Manuel Campos, Francisco Palacios, Bernardo Cánovas-Segura, Gregor Stiglic, Roque Marín
2018	J	`jnl`	Special Issue on Data Mining in Health Informatics. J. Heal. Informatics Res. Xia Hu, Gregor Stiglic, Fei Wang
2017	—	`conf`	Stability selection using a genetic algorithm and logistic linear regression on healthcare records. GECCO (Companion) Ales Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat
2016	Misc	`conf`	Data Mining for Medical Informatics (DMMI) - Learning Health. AMIA Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang
2015	Misc	`conf`	Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. Pacific Symposium on Biocomputing David J. Odgers, Rave Harpaz, Alison Callahan, Gregor Stiglic, Nigam H. Shah
2015	—	`conf`	Data Analytics in Healthcare Informatics. ICHI Fei Wang, Gregor Stiglic
2015	B	`conf`	Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
2015	J	`jnl`	Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson
2015	—	`conf`	Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
2015	J	`jnl`	Interestingness measure for mining sequential patterns in sports. J. Intell. Fuzzy Syst. Goran Hrovat, Iztok Fister Jr., Katsiaryna Yermak, Gregor Stiglic, Iztok Fister
2015	J	`jnl`	Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. J. Medical Syst. Nino Fijacko, Petra Povalej Brzan, Gregor Stiglic
2015	J	`jnl`	Recognizing the intensity of strength training exercises with wearable sensors. J. Biomed. Informatics Igor Pernek, Gregorij Kurillo, Gregor Stiglic, Ruzena Bajcsy
2014	J	`jnl`	Contrasting temporal trend discovery for large healthcare databases. Comput. Methods Programs Biomed. Goran Hrovat, Gregor Stiglic, Peter Kokol, Milan Ojstersek
2014	Misc	`conf`	Readmission Classification Using Stacked Regularized Logistic Regression Models. AMIA Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic
2014	—	`conf`	Tutorial: Developing and Deploying Healthcare Predictive Models in R. ICHI Gregor Stiglic
2013	—	`conf`	Enhancing Identification of Opinion Spammer Groups. MindTrek Andrej Duh, Gregor Stiglic, Dean Korosak
2013	—	`conf`	Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions. ICHI Gregor Stiglic, Adam Davey, Zoran Obradovic
2012	J	`jnl`	Evolutionary design of decision trees for medical application. WIREs Data Mining Knowl. Discov. Peter Kokol, Sandi Pohorec, Gregor Stiglic, Vili Podgorelec
2012	—	`conf`	How Hard Am I Training? Using Smart Phones to Estimate Sport Activity Intensity. ICDCS Workshops Igor Pernek, Gregor Stiglic, Peter Kokol
2011	J	`jnl`	AGRA: analysis of gene ranking algorithms. Bioinform. Simon Kocbek, Rune Sætre, Gregor Stiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou, Jun'ichi Tsujii
2011	—	`conf`	Interpretability of Sudden Concept Drift in Medical Informatics Domain. ICDM Workshops Gregor Stiglic, Peter Kokol
2011	B	`conf`	PRIMER ICT: A new blended learning paradigm for teaching ICT skills to older people. CBMS Peter Kokol, Gregor Stiglic
2011	—	`conf`	Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications. ICCABS Simon Kocbek, Rune Sætre, Gregor Stiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou, Jun'ichi Tsujii
2011	—	`conf`	Tuning Decision Tree Models by Imposing Visual Constraints. MLDM Posters Gregor Stiglic, Simon Kocbek, Igor Pernek, Peter Kokol
2010	J	`jnl`	Finding optimal classifiers for small feature sets in genomics and proteomics. Neurocomputing Gregor Stiglic, Juan José Rodríguez Diez, Peter Kokol
2010	J	`jnl`	Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays. BMC Bioinform. Gregor Stiglic, Mateja Bajgot, Peter Kokol
2010	—	`conf`	Identification of Specific Gene Expression Signatures in Oncology. BIOCOMP Gregor Stiglic, Igor Pernek, Peter Kokol
2010	B	`conf`	Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem. CBMS Simon Kocbek, Gregor Stiglic, Igor Pernek, Peter Kokol
2009	—	`ch.`	Discovery Systems. Encyclopedia of Complexity and Systems Science Petra Povalej, Mateja Verlic, Gregor Stiglic
2009	J	`jnl`	Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest. Comput. Methods Programs Biomed. Miljenko Krizmaric, Mateja Verlic, Gregor Stiglic, Stefek Grmec, Peter Kokol
2009	B	`conf`	Unsupervised variance based preprocessing of microarray data. CBMS Gregor Stiglic, Simon Kocbek, Peter Kokol
2008	—	`conf`	Feature Selection and Classification for Small Gene Sets. PRIB Gregor Stiglic, Juan J. Rodríguez Diez, Peter Kokol
2008	—	`ch.`	Knowledge Extraction from Microarray Datasets Using Combined Multiple Models to Predict Leukemia Types. Data Mining: Foundations and Practice Gregor Stiglic, Nawaz Khan, Peter Kokol
2008	B	`conf`	Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007. CBMS Mateja Verlic, Gregor Stiglic, Simon Kocbek, Peter Kokol
2007	J	`jnl`	Detecting Fault Modules Using Bioinformatics Techniques. Int. J. Softw. Eng. Knowl. Eng. Gregor Stiglic, Matej Mertik, Peter Kokol, Maurizio Pighin
2007	B	`conf`	Effectiveness of Rotation Forest in Meta-learning Based Gene Expression Classification. CBMS Gregor Stiglic, Peter Kokol
2007	J	`jnl`	Evolutionary approach to combined multiple models tuning. Int. J. Knowl. Based Intell. Eng. Syst. Gregor Stiglic, Peter Kokol
2007	—	`conf`	Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study. PRIB Gregor Stiglic, Nawaz Khan, Mateja Verlic, Peter Kokol
2006	C	`conf`	Estimating Software Quality with Advanced Data Mining Techniques. ICSEA Matej Mertik, Mitja Lenic, Gregor Stiglic, Peter Kokol
2006	—	`conf`	Evolutionary Tuning of Combined Multiple Models. KES (2) Gregor Stiglic, Peter Kokol
2006	B	`conf`	Using Visual Interpretation of Small Ensembles in Microarray Analysis. CBMS Gregor Stiglic, Matej Mertik, Vili Podgorelec, Peter Kokol
2005	B	`conf`	Time Allocation Simulation Model of Clean and Dirty Pathways in Hospital Environment. CBMS Miljenko Krizmaric, Tanja Zmauc, Dusanka Micetic Turk, Gregor Stiglic, Peter Kokol
2004	—	`conf`	Bioinformatics approach to data mining of software bases. IASTED Conf. on Software Engineering and Applications Gregor Stiglic, Peter Kokol
2004	—	`conf`	Building Classifier Cellular Automata. ACRI Peter Kokol, Petra Povalej, Mitja Lenic, Gregor Stiglic
2004	B	`conf`	Improving Classification Accuracy Using Cellular Automata. KES Petra Povalej, Mitja Lenic, Gregor Stiglic, Tatjana Welzer, Peter Kokol
2004	B	`conf`	Sizing tumors with TNM Classifications and Rough Sets Method. CBMS Gregor Stiglic, Peter Kokol
2004	B	`conf`	Verifying Clinical Criteria for Parkinsonian Disorders with CART Decision Trees. KES Petra Povalej, Gregor Stiglic, Peter Kokol, Bruno Stiglic, Irene Litvan, Dusan Flisar