| 2024 | CHI | EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. | Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert |
| 2023 | IUI | 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 |
| 2023 | KDD | Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. | Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner |
| 2022 | AIME | 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 |
| 2022 | KDD | Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. | Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner |
| 2021 | KDD | 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, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner |
| 2019 | AIME | Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening. | Leon Kopitar, Leona Cilar, Primoz Kocbek, Gregor Stiglic |
| 2019 | ICONIP | 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 |
| 2017 | GECCO | Stability selection using a genetic algorithm and logistic linear regression on healthcare records. | Ales Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat |
| 2016 | AMIA | Data Mining for Medical Informatics (DMMI) - Learning Health. | Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang |
| 2015 | AIME | Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. | Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic |
| 2015 | PSB | Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. | David J. Odgers, Rave Harpaz, Alison Callahan, Gregor Stiglic, Nigam H. Shah |
| 2014 | AMIA | Readmission Classification Using Stacked Regularized Logistic Regression Models. | Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic |
| 2011 | CBMS | PRIMER ICT: A new blended learning paradigm for teaching ICT skills to older people. | Peter Kokol, Gregor Stiglic |
| 2011 | ICDM | Interpretability of Sudden Concept Drift in Medical Informatics Domain. | Gregor Stiglic, Peter Kokol |
| 2010 | CBMS | Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem. | Simon Kocbek, Gregor Stiglic, Igor Pernek, Peter Kokol |
| 2009 | CBMS | Unsupervised variance based preprocessing of microarray data. | Gregor Stiglic, Simon Kocbek, Peter Kokol |
| 2008 | CBMS | Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007. | Mateja Verlic, Gregor Stiglic, Simon Kocbek, Peter Kokol |
| 2007 | CBMS | Effectiveness of Rotation Forest in Meta-learning Based Gene Expression Classification. | Gregor Stiglic, Peter Kokol |
| 2006 | CBMS | Using Visual Interpretation of Small Ensembles in Microarray Analysis. | Gregor Stiglic, Matej Mertik, Vili Podgorelec, Peter Kokol |
| 2006 | ICSEA | Estimating Software Quality with Advanced Data Mining Techniques. | Matej Mertik, Mitja Lenic, Gregor Stiglic, Peter Kokol |
| 2006 | KES | Evolutionary Tuning of Combined Multiple Models. | Gregor Stiglic, Peter Kokol |
| 2005 | CBMS | Time Allocation Simulation Model of Clean and Dirty Pathways in Hospital Environment. | Miljenko Krizmaric, Tanja Zmauc, Dusanka Micetic Turk, Gregor Stiglic, Peter Kokol |
| 2004 | CBMS | Sizing tumors with TNM Classifications and Rough Sets Method. | Gregor Stiglic, Peter Kokol |
| 2004 | KES | Improving Classification Accuracy Using Cellular Automata. | Petra Povalej, Mitja Lenic, Gregor Stiglic, Tatjana Welzer, Peter Kokol |
| 2004 | KES | Verifying Clinical Criteria for Parkinsonian Disorders with CART Decision Trees. | Petra Povalej, Gregor Stiglic, Peter Kokol, Bruno Stiglic, Irene Litvan, Dusan Flisar |