Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. - Dragan Gamberger; Goran Krstacic; Tomislav Smuc (ISMDA, 2000)

Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. - Dragan Gamberger; Nada Lavrac; Goran Krstacic; Tomislav Smuc (ISMDA, 2000)

Coronary Heart Disease Patient Models Based on Inductive Machine Learning. - Goran Krstacic; Dragan Gamberger; Tomislav Smuc (AIME, 2001)

Combining Unsupervised and Supervised Machine Learning. - Tomislav Smuc; Dragan Gamberger; Goran Krstacic (AIME, 2001)

Sensitivity of Differential Evolution Algorithm to Values of Control Parameters. - Tomislav Smuc (IC-AI, 2002)

Medical Knowledge Representation within Heartfaid Platform. - Dragan Gamberger; Marin Prcela; Alan Jovic; Tomislav Smuc; Gianfranco Parati; Mariaconsuelo Valentini; Kalina Kawecka-Jaszcz; Katarzyna Styczkiewicz; Andrzej A. Kononowicz; Antonio Candelieri; Domenico Conforti; Rosita Guido (HEALTHINF (1), 2008)

Language morphology offset: Text classification on a Croatian-English parallel corpus. - Mislav Malenica; Tomislav Smuc; Jan Snajder; Bojana Dalbelo Basic (Inf. Process. Manag., 2008)

Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. - Marin Prcela; Dragan Gamberger; Tomislav Smuc; Nikola Bogunovic (HEALTHINF, 2010)

Descriptive Modeling of Systemic Banking Crises. - Dragan Gamberger; Drazen Lucanin; Tomislav Smuc (Discovery Science, 2012)

Memory biased random walk approach to synthetic clickstream generation - Nino Antulov-Fantulin; Matko Bosnjak; Vinko Zlatic; Miha Grcar; Tomislav Smuc (CoRR, 2012)

Semi-Supervised Learning for Quantitative Structure-Activity Modeling. - Jurica Levatic; Saso Dzeroski; Fran Supek; Tomislav Smuc (Informatica (Slovenia), 2013)

Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. - Nives Skunca; Matko Bosnjak; Anita Krisko; Pance Panov; Saso Dzeroski; Tomislav Smuc; Fran Supek (PLoS Comput. Biol., 2013)

Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network. - Nino Antulov-Fantulin; Matko Bosnjak; Vinko Zlatic; Miha Grcar; Tomislav Smuc (Discovery Science, 2014)

Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. - Nino Antulov-Fantulin; Alen Lancic; Hrvoje Stefancic; Mile Sikic; Tomislav Smuc (SASO Workshops, 2014)

Detectability limits of epidemic sources in networks. - Nino Antulov-Fantulin; Alen Lancic; Tomislav Smuc; Hrvoje Stefancic; Mile Sikic (CoRR, 2014)

News Cohesiveness: an Indicator of Systemic Risk in Financial Markets. - Matija Piskorec; Nino Antulov-Fantulin; Petra Kralj Novak; Igor Mozetic; Miha Grcar; Irena Vodenska; Tomislav Smuc (CoRR, 2014)

Redescription Mining with Multi-target Predictive Clustering Trees. - Matej Mihelcic; Saso Dzeroski; Nada Lavrac; Tomislav Smuc (NFMCP, 2015)

MultiNets: Web-Based Multilayer Network Visualization. - Matija Piskorec; Borut Sluban; Tomislav Smuc (ECML/PKDD (3), 2015)

InterSet: Interactive Redescription Set Exploration. - Matej Mihelcic; Tomislav Smuc (DS, 2016)

Extensive complementarity between gene function prediction methods. - Vedrana Vidulin; Tomislav Smuc; Fran Supek (Bioinform., 2016)

Modeling peer and external influence in online social networks. - Matija Piskorec; Nino Antulov-Fantulin; Iva Miholic; Tomislav Smuc; Mile Sikic (CoRR, 2016)

Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. - Matija Piskorec; Nino Antulov-Fantulin; Iva Miholic; Tomislav Smuc; Mile Sikic (COMPLEX NETWORKS, 2017)

Phenotype Inference from Text and Genomic Data. - Maria Brbic; Matija Piskorec; Vedrana Vidulin; Anita Krisko; Tomislav Smuc; Fran Supek (ECML/PKDD (3), 2017)

Phenotype Prediction with Semi-supervised Classification Trees. - Jurica Levatic; Maria Brbic; Tomaz Stepisnik Perdih; Dragi Kocev; Vedrana Vidulin; Tomislav Smuc; Fran Supek; Saso Dzeroski (NFMCP@PKDD/ECML, 2017)

Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients. - Matej Mihelcic; Goran Simic; Mirjana Babic Leko; Nada Lavrac; Saso Dzeroski; Tomislav Smuc (CoRR, 2017)

A framework for redescription set construction. - Matej Mihelcic; Saso Dzeroski; Nada Lavrac; Tomislav Smuc (Expert Syst. Appl., 2017)

Extending Redescription Mining to Multiple Views. - Matej Mihelcic; Saso Dzeroski; Tomislav Smuc (DS, 2018)

Redescription mining augmented with random forest of multi-target predictive clustering trees. - Matej Mihelcic; Saso Dzeroski; Nada Lavrac; Tomislav Smuc (J. Intell. Inf. Syst., 2018)

Targeted and contextual redescription set exploration. - Matej Mihelcic; Tomislav Smuc (Mach. Learn., 2018)

Disentangling Sources of Influence in Online Social Networks. - Matija Piskorec; Tomislav Smuc; Mile Sikic (IEEE Access, 2019)

Multi-view redescription mining using tree-based multi-target prediction models. - Matej Mihelcic; Saso Dzeroski; Tomislav Smuc (CoRR, 2020)

From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning. - Ilona M. Kulikovskikh; Tomislav Lipic; Tomislav Smuc (Entropy, 2020)

Approaches for Multi-View Redescription Mining. - Matej Mihelcic; Tomislav Smuc (IEEE Access, 2021)

Rules, Subgroups and Redescriptions as Features in Classification Tasks. - Matej Mihelcic; Tomislav Smuc (PKDD/ECML Workshops (1), 2022)

WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks. - Sofia Fernandes 001; Hadi Fanaee-T; João Gama 001; Leo Tisljaric; Tomislav Smuc (Mach. Learn., 2023)

Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal prediction. - Davor Orsolic; Tomislav Smuc (Bioinform., 2023)