| 2025 | IDA | Make Literature-Based Discovery Great Again Through Reproducible Pipelines. | Bojan Cestnik, Andrej Kastrin, Boshko Koloski, Nada Lavrac |
| 2024 | IDA | AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. | Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin |
| 2023 | ICLR | Inducing Document Representations from Graphs: A Blueprint. | Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak |
| 2021 | AIME | Stratification of Parkinson's Disease Patients via Multi-view Clustering. | Anita Valmarska, Nada Lavrac, Marko Robnik-Sikonja |
| 2021 | DIS | Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. | Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac |
| 2021 | EACL | BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. | Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja |
| 2021 | EACL | EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. | Senja Pollak, Marko Robnik-Sikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjic, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppnen, Elaine Zosa, Matej Ulcar, Linda Freienthal, Silver Traat, Luis Adrin Cabrera-Diego, Matej Martinc, Nada Lavrac, Blaz Skrlj, Martin Znidarsic, Andraz Pelicon, Boshko Koloski, Vid Podpecan, Janez Kranjc, Shane Sheehan, Emanuela Boros, Jos G. Moreno, Antoine Doucet, Hannu Toivonen |
| 2020 | AIME | Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. | Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja |
| 2020 | DIS | COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. | Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak |
| 2020 | ECAI | Feature Importance Estimation with Self-Attention Networks. | Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic |
| 2019 | AIME | Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. | Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac |
| 2019 | DIS | Symbolic Graph Embedding Using Frequent Pattern Mining. | Blaz Skrlj, Nada Lavrac, Jan Kralj |
| 2018 | DIS | Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns. | Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac |
| 2018 | ILP | Targeted End-to-End Knowledge Graph Decomposition. | Blaz Skrlj, Jan Kralj, Nada Lavrac |
| 2017 | AIME | Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification. | Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja |
| 2016 | CoDIT | Detection of dependencies between literature domains through relation extraction and copulas. | Dragana Miljkovic, Nada Lavrac, Marko Bohanec, Biljana Mileva-Boshkoska |
| 2015 | LPNMR | Relational and Semantic Data Mining - - Invited Talk -. | Nada Lavrac, Anze Vavpetic |
| 2015 | PAKDD | Mining Text Enriched Heterogeneous Citation Networks. | Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac |
| 2014 | DIS | Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. | Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmn |
| 2014 | DIS | Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. | Dragan Gamberger, Matej Mihelcic, Nada Lavrac |
| 2013 | DIS | A Wordification Approach to Relational Data Mining. | Matic Perovsek, Anze Vavpetic, Bojan Cestnik, Nada Lavrac |
| 2013 | DIS | Semantic Data Mining of Financial News Articles. | Anze Vavpetic, Petra Kralj Novak, Miha Grcar, Igor Mozetic, Nada Lavrac |
| 2013 | IDA | Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices. | Matic Perovsek, Bojan Cestnik, Tanja Urbancic, Simon Colton, Nada Lavrac |
| 2012 | CBMS | Advances in Data Mining for Biomedical Research. | Nada Lavrac |
| 2012 | ILP | A Wordification Approach to Relational Data Mining: Early Results. | Matic Perovsek, Anze Vavpetic, Nada Lavrac |
| 2012 | LREC | Irregularity Detection in Categorized Document Corpora. | Borut Sluban, Senja Pollak, Roel Coesemans, Nada Lavrac |
| 2012 | PRICAI | Explaining Subgroups through Ontologies. | Anze Vavpetic, Vid Podpecan, Stijn Meganck, Nada Lavrac |
| 2011 | AIME | Evaluating Outliers for Cross-Context Link Discovery. | Borut Sluban, Matjaz Jursic, Bojan Cestnik, Nada Lavrac |
| 2011 | DIS | A Methodology for Mining Document-Enriched Heterogeneous Information Networks. | Miha Grcar, Nada Lavrac |
| 2011 | DIS | Using Ontologies in Semantic Data Mining with SEGS and g-SEGS. | Nada Lavrac, Anze Vavpetic, Larisa N. Soldatova, Igor Trajkovski, Petra Kralj Novak |
| 2011 | ILP | Using Ontologies in Semantic Data Mining with g-SEGS and Aleph. | Anze Vavpetic, Nada Lavrac |
| 2010 | DIS | Efficient Visualization of Document Streams. | Miha Grcar, Vid Podpecan, Matjaz Jursic, Nada Lavrac |
| 2010 | ECAI | Advances in Class Noise Detection. | Borut Sluban, Dragan Gamberger, Nada Lavrac |
| 2010 | ISoLA | Workflow Construction for Service-Oriented Knowledge Discovery. | Vid Podpecan, Monika Zkov, Nada Lavrac |
| 2010 | PRICAI | Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology. | Vid Podpecan, Miha Grcar, Nada Lavrac |
| 2008 | ISoLA | On the Design of Knowledge Discovery Services Design Patterns and Their Application in a Use Case Implementation. | Jeroen S. de Bruin, Joost N. Kok, Nada Lavrac, Igor Trajkovski |
| 2008 | PRICAI | Advancing Topic Ontology Learning through Term Extraction. | Blaz Fortuna, Nada Lavrac, Paola Velardi |
| 2008 | PRICAI | Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. | Dragan Gamberger, Nada Lavrac, Johannes Frnkranz |
| 2007 | AIME | Supporting Factors in Descriptive Analysis of Brain Ischaemia. | Dragan Gamberger, Nada Lavrac |
| 2007 | AIME | Contrast Set Mining for Distinguishing Between Similar Diseases. | Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic |
| 2007 | AIME | Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization. | Aleksander Pur, Marko Bohanec, Nada Lavrac, Bojan Cestnik, Marko Debeljak, Anton Gradisek |
| 2007 | AIME | Interpreting Gene Expression Data by Searching for Enriched Gene Sets. | Igor Trajkovski, Nada Lavrac |
| 2007 | PAKDD | Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. | Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic |
| 2006 | ILP | Relational Data Mining Applied to Virtual Engineering of Product Designs. | Monika Zkov, Filip Zelezn, Javier A. Garca-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina |
| 2005 | AIME | Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. | Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Mitja Jermol, Tanja Urbancic, Marko Debeljak, Branko Kavsek, Tadeja Kopac |
| 2005 | PAKDD | Subgroup Discovery Techniques and Applications. | Nada Lavrac |
| 2004 | ECAI | Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. | Dragan Gamberger, Nada Lavrac |
| 2003 | AIME | Analysis of Gene Expression Data by the Logic Minimization Approach. | Dragan Gamberger, Nada Lavrac |
| 2003 | ILP | Comparative Evaluation of Approaches to Propositionalization. | Mark-A. Krogel, Simon Alan Rawles, Filip Zelezn, Peter A. Flach, Nada Lavrac, Stefan Wrobel |
| 2003 | IDA | APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery. | Branko Kavsek, Nada Lavrac, Viktor Jovanoski |
| 2002 | ICDM | Adapting classification rule induction to subgroup discovery. | Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski |
| 2002 | ICML | Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. | Dragan Gamberger, Nada Lavrac |
| 2002 | ILP | RSD: Relational Subgroup Discovery through First-Order Feature Construction. | Nada Lavrac, Filip Zelezn, Peter A. Flach |
| 2001 | EPIA | Classification Rule Learning with APRIORI-C. | Viktor Jovanoski, Nada Lavrac |
| 1999 | EPIA | Challenges for Inductive Logic Programming. | Nada Lavrac |
| 1999 | ICML | Experiments with Noise Filtering in a Medical Domain. | Dragan Gamberger, Nada Lavrac, Ciril Groselj |
| 1999 | ILP | Rule Evaluation Measures: A Unifying View. | Nada Lavrac, Peter A. Flach, Blaz Zupan |
| 1998 | ICLP | Inductive Logic Programming for Relational Knowledge Discovery. | Nada Lavrac |
| 1997 | AIME | Machine Learning Applied to Diagnosis of Sport Injuries. | Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga |
| 1997 | CBMS | Using machine learning for outcome prediction of patients with severe head injury. | Iztok A. Pilih, Dunja Mladenic, Nada Lavrac, Tine S. Prevec |
| 1997 | CBMS | Diagnosis of sport injuries with machine learning: explanation of induced decisions. | Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga |
| 1996 | ALT | Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. | Dragan Gamberger, Nada Lavrac, Saso Dzeroski |
| 1996 | ALT | Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. | Nada Lavrac, Dragan Gamberger, Peter D. Turney |
| 1996 | ILP | Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. | Dragan Gamberger, Nada Lavrac |
| 1993 | IJCAI | Multiple Predicate Learning. | Luc De Raedt, Nada Lavrac, Saso Dzeroski |
| 1993 | ISMIS | The Many Faces of Inductive Logic Programming. | Luc De Raedt, Nada Lavrac |
| 1992 | ECAI | Stochastic Search in Inductive Logic Programming. | Matevz Kovacic, Nada Lavrac, Marko Grobelnik, Darko Zupanic, Dunja Mladenic |
| 1991 | ICML | Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. | Saso Dzeroski, Nada Lavrac |
| 1986 | AAAI | The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. | Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac |
| 1983 | ICLP | An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling. | Igor Mozetic, Ivan Bratko, Nada Lavrac |