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2020 – today
- 2023
[j12]Davor Orsolic, Tomislav Smuc:
Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal prediction. Bioinform. 39(8) (2023)- [j11]Sofia Fernandes
, Hadi Fanaee-T, João Gama, Leo Tisljaric, Tomislav Smuc:
WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks. Mach. Learn. 112(2): 459-481 (2023) - 2022
- [c18]Matej Mihelcic, Tomislav Smuc:
Rules, Subgroups and Redescriptions as Features in Classification Tasks. PKDD/ECML Workshops (1) 2022: 248-260 - 2021
- [j10]Matej Mihelcic, Tomislav Smuc:
Approaches for Multi-View Redescription Mining. IEEE Access 9: 19356-19378 (2021) - 2020
- [j9]Ilona M. Kulikovskikh, Tomislav Lipic, Tomislav Smuc:
From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning. Entropy 22(8): 906 (2020) - [i9]Matej Mihelcic, Saso Dzeroski, Tomislav Smuc:
Multi-view redescription mining using tree-based multi-target prediction models. CoRR abs/2006.12227 (2020)
2010 – 2019
- 2019
- [j8]Matija Piskorec, Tomislav Smuc, Mile Sikic:
Disentangling Sources of Influence in Online Social Networks. IEEE Access 7: 131692-131704 (2019) - [e1]Petra Kralj Novak, Tomislav Smuc, Saso Dzeroski:
Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings. Lecture Notes in Computer Science 11828, Springer 2019, ISBN 978-3-030-33777-3 [contents] - 2018
- [j7]Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc:
Redescription mining augmented with random forest of multi-target predictive clustering trees. J. Intell. Inf. Syst. 50(1): 63-96 (2018) - [j6]Matej Mihelcic, Tomislav Smuc:
Targeted and contextual redescription set exploration. Mach. Learn. 107(11): 1809-1846 (2018) - [c17]Matej Mihelcic, Saso Dzeroski, Tomislav Smuc:
Extending Redescription Mining to Multiple Views. DS 2018: 292-307 - [i8]Matija Piskorec, Tomislav Smuc, Mile Sikic:
Disentangling sources of influence in online social networks. CoRR abs/1811.10372 (2018) - 2017
- [j5]Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc:
A framework for redescription set construction. Expert Syst. Appl. 68: 196-215 (2017) - [c16]Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic:
Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. COMPLEX NETWORKS 2017: 1015-1027 - [c15]Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski:
Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML 2017: 138-150 - [c14]Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek:
Phenotype Inference from Text and Genomic Data. ECML/PKDD (3) 2017: 373-377 - [i7]Matej Mihelcic, Goran Simic, Mirjana Babic Leko, Nada Lavrac, Saso Dzeroski, Tomislav Smuc:
Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients. CoRR abs/1702.06831 (2017) - 2016
- [j4]Vedrana Vidulin, Tomislav Smuc, Fran Supek:
Extensive complementarity between gene function prediction methods. Bioinform. 32(23): 3645-3653 (2016) - [c13]Matej Mihelcic, Tomislav Smuc:
InterSet: Interactive Redescription Set Exploration. DS 2016: 35-50 - [i6]Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc:
A framework for redescription set construction. CoRR abs/1606.03935 (2016) - [i5]Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic:
Modeling peer and external influence in online social networks. CoRR abs/1610.08262 (2016) - 2015
- [c12]Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc:
Redescription Mining with Multi-target Predictive Clustering Trees. NFMCP 2015: 125-143 - [c11]Matija Piskorec, Borut Sluban, Tomislav Smuc:
MultiNets: Web-Based Multilayer Network Visualization. ECML/PKDD (3) 2015: 298-302 - 2014
- [c10]Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc:
Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network. Discovery Science 2014: 25-36 - [c9]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc:
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. SASO Workshops 2014: 78-83 - [i4]Matija Piskorec, Nino Antulov-Fantulin, Petra Kralj Novak, Igor Mozetic, Miha Grcar, Irena Vodenska, Tomislav Smuc:
News Cohesiveness: an Indicator of Systemic Risk in Financial Markets. CoRR abs/1402.3483 (2014) - [i3]Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc, Hrvoje Stefancic, Mile Sikic:
Detectability limits of epidemic sources in networks. CoRR abs/1406.2909 (2014) - 2013
- [j3]Jurica Levatic, Saso Dzeroski, Fran Supek, Tomislav Smuc:
Semi-Supervised Learning for Quantitative Structure-Activity Modeling. Informatica (Slovenia) 37(2): 173-179 (2013) - [j2]Nives Skunca, Matko Bosnjak, Anita Krisko, Pance Panov, Saso Dzeroski, Tomislav Smuc, Fran Supek:
Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. PLoS Comput. Biol. 9(1) (2013) - [i2]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc:
Statistical inference framework for source detection of contagion processes on arbitrary network structures. CoRR abs/1304.0018 (2013) - 2012
- [c8]Dragan Gamberger, Drazen Lucanin, Tomislav Smuc:
Descriptive Modeling of Systemic Banking Crises. Discovery Science 2012: 67-80 - [i1]Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc:
Memory biased random walk approach to synthetic clickstream generation. CoRR abs/1201.6134 (2012) - 2010
- [c7]Marin Prcela, Dragan Gamberger, Tomislav Smuc, Nikola Bogunovic:
Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. HEALTHINF 2010: 235-240
2000 – 2009
- 2008
- [j1]Mislav Malenica, Tomislav Smuc, Jan Snajder, Bojana Dalbelo Basic:
Language morphology offset: Text classification on a Croatian-English parallel corpus. Inf. Process. Manag. 44(1): 325-339 (2008) - [c6]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:
Medical Knowledge Representation within Heartfaid Platform. HEALTHINF (1) 2008: 307-314 - 2002
- [c5]Tomislav Smuc:
Sensitivity of Differential Evolution Algorithm to Values of Control Parameters. IC-AI 2002: 1087-1093 - 2001
- [c4]Tomislav Smuc, Dragan Gamberger, Goran Krstacic:
Combining Unsupervised and Supervised Machine Learning. AIME 2001: 109-112 - [c3]Goran Krstacic, Dragan Gamberger, Tomislav Smuc:
Coronary Heart Disease Patient Models Based on Inductive Machine Learning. AIME 2001: 113-116 - 2000
- [c2]Dragan Gamberger, Goran Krstacic, Tomislav Smuc:
Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. ISMDA 2000: 159-168 - [c1]Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc:
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA 2000: 183-189
Coauthor Index
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