Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal prediction.

Tomislav Smuc https://orcid.org/0000-0002-9185-9384 https://www.wikidata.org/entity/Q64678856

Davor Orsolic Tomislav Smuc Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal prediction. 2023 August 39 Bioinform. 8 https://doi.org/10.1093/bioinformatics/btad465 db/journals/bioinformatics/bioinformatics39.html#OrsolicS23

Sofia Fernandes 0001 Hadi Fanaee-T João Gama 0001 Leo Tisljaric Tomislav Smuc WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks. 459-481 2023 February 112 Mach. Learn. 2 https://doi.org/10.1007/s10994-021-05979-8 db/journals/ml/ml112.html#FernandesFGTS23

Matej Mihelcic Tomislav Smuc Rules, Subgroups and Redescriptions as Features in Classification Tasks. 248-260 2022 PKDD/ECML Workshops (1) https://doi.org/10.1007/978-3-031-23618-1_17 conf/pkdd/2022-w1 db/conf/pkdd/pkdd2022-w1.html#MihelcicS22

Matej Mihelcic Tomislav Smuc Approaches for Multi-View Redescription Mining. 19356-19378 2021 9 IEEE Access https://doi.org/10.1109/ACCESS.2021.3054245 db/journals/access/access9.html#MihelcicS21

Ilona M. Kulikovskikh Tomislav Lipic Tomislav Smuc From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning. 906 2020 22 Entropy 8 https://doi.org/10.3390/e22080906 https://www.wikidata.org/entity/Q104108049 db/journals/entropy/entropy22.html#KulikovskikhLS20

Matej Mihelcic Saso Dzeroski Tomislav Smuc Multi-view redescription mining using tree-based multi-target prediction models. 2020 abs/2006.12227 CoRR https://arxiv.org/abs/2006.12227 db/journals/corr/corr2006.html#abs-2006-12227

Matija Piskorec Tomislav Smuc Mile Sikic Disentangling Sources of Influence in Online Social Networks. 131692-131704 2019 7 IEEE Access https://doi.org/10.1109/ACCESS.2019.2940762 db/journals/access/access7.html#PiskorecSS19

Petra Kralj Novak Tomislav Smuc Saso Dzeroski Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings DS Springer 2019 Lecture Notes in Computer Science 11828 978-3-030-33777-3 978-3-030-33778-0 https://doi.org/10.1007/978-3-030-33778-0 db/conf/dis/dis2019.html

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc Redescription mining augmented with random forest of multi-target predictive clustering trees. 63-96 2018 50 J. Intell. Inf. Syst. 1 https://doi.org/10.1007/s10844-017-0448-5 db/journals/jiis/jiis50.html#MihelcicDLS18

Matej Mihelcic Tomislav Smuc Targeted and contextual redescription set exploration. 1809-1846 2018 107 Mach. Learn. 11 https://doi.org/10.1007/s10994-018-5738-9 db/journals/ml/ml107.html#MihelcicS18

Matej Mihelcic Saso Dzeroski Tomislav Smuc Extending Redescription Mining to Multiple Views. 292-307 2018 DS https://doi.org/10.1007/978-3-030-01771-2_19 conf/dis/2018 db/conf/dis/dis2018.html#MihelcicDS18

Matija Piskorec Tomislav Smuc Mile Sikic Disentangling sources of influence in online social networks. 2018 abs/1811.10372 CoRR http://arxiv.org/abs/1811.10372 db/journals/corr/corr1811.html#abs-1811-10372

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc A framework for redescription set construction. 196-215 2017 68 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2016.10.012 db/journals/eswa/eswa68.html#MihelcicDLS17

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. 1015-1027 2017 COMPLEX NETWORKS https://doi.org/10.1007/978-3-319-72150-7_82 conf/complexnetworks/2017 db/conf/complexnetworks/complexnetworks2017.html#PiskorecAMSS17 Jurica Levatic Maria Brbic Tomaz Stepisnik Perdih Dragi Kocev Vedrana Vidulin Tomislav Smuc Fran Supek Saso Dzeroski Phenotype Prediction with Semi-supervised Classification Trees. 138-150 2017 NFMCP@PKDD/ECML https://doi.org/10.1007/978-3-319-78680-3_10 https://www.wikidata.org/entity/Q106637540 conf/pkdd/2017nfmcp db/conf/pkdd/nfmcp2017.html#LevaticBPKVSSD17 Maria Brbic Matija Piskorec Vedrana Vidulin Anita Krisko Tomislav Smuc Fran Supek Phenotype Inference from Text and Genomic Data. 373-377 2017 ECML/PKDD (3) https://doi.org/10.1007/978-3-319-71273-4_34 https://www.wikidata.org/entity/Q106637542 conf/pkdd/2017-3 db/conf/pkdd/pkdd2017-3.html#BrbicPVKSS17

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. 2017 abs/1702.06831 CoRR http://arxiv.org/abs/1702.06831 db/journals/corr/corr1702.html#MihelcicSLLDS17

Vedrana Vidulin Tomislav Smuc Fran Supek Extensive complementarity between gene function prediction methods. 3645-3653 2016 32 Bioinform. 23 https://doi.org/10.1093/bioinformatics/btw532 https://www.wikidata.org/entity/Q38443767 db/journals/bioinformatics/bioinformatics32.html#VidulinSS16

Matej Mihelcic Tomislav Smuc InterSet: Interactive Redescription Set Exploration. 35-50 2016 DS https://doi.org/10.1007/978-3-319-46307-0_3 conf/dis/2016 db/conf/dis/dis2016.html#MihelcicS16

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc A framework for redescription set construction. 2016 abs/1606.03935 CoRR http://arxiv.org/abs/1606.03935 db/journals/corr/corr1606.html#MihelcicDLS16

Matija Piskorec Nino Antulov-Fantulin Iva Miholic Tomislav Smuc Mile Sikic Modeling peer and external influence in online social networks. 2016 abs/1610.08262 CoRR http://arxiv.org/abs/1610.08262 db/journals/corr/corr1610.html#PiskorecAMSS16

Matej Mihelcic Saso Dzeroski Nada Lavrac Tomislav Smuc Redescription Mining with Multi-target Predictive Clustering Trees. 125-143 2015 NFMCP https://doi.org/10.1007/978-3-319-39315-5_9 conf/pkdd/2015nfmcp db/conf/pkdd/nfmcp2015.html#MihelcicDLS15 Matija Piskorec Borut Sluban Tomislav Smuc MultiNets: Web-Based Multilayer Network Visualization. 298-302 2015 ECML/PKDD (3) https://doi.org/10.1007/978-3-319-23461-8_34 conf/pkdd/2015-3 db/conf/pkdd/pkdd2015-3.html#PiskorecSS15 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. 25-36 2014 Discovery Science https://doi.org/10.1007/978-3-319-11812-3_3 conf/dis/2014 db/conf/dis/dis2014.html#Antulov-FantulinBZGS14 Nino Antulov-Fantulin Alen Lancic Hrvoje Stefancic Mile Sikic Tomislav Smuc Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. 78-83 2014 SASO Workshops https://doi.org/10.1109/SASOW.2014.35 https://doi.ieeecomputersociety.org/10.1109/SASOW.2014.35 conf/saso/2014w db/conf/saso/saso2014w.html#Antulov-Fantulin14

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. 2014 abs/1402.3483 CoRR http://arxiv.org/abs/1402.3483 db/journals/corr/corr1402.html#PiskorecANMGVS14

Nino Antulov-Fantulin Alen Lancic Tomislav Smuc Hrvoje Stefancic Mile Sikic Detectability limits of epidemic sources in networks. 2014 abs/1406.2909 CoRR http://arxiv.org/abs/1406.2909 db/journals/corr/corr1406.html#Antulov-FantulinLSSS14

Jurica Levatic Saso Dzeroski Fran Supek Tomislav Smuc Semi-Supervised Learning for Quantitative Structure-Activity Modeling. 173-179 2013 37 Informatica (Slovenia) 2 http://www.informatica.si/index.php/informatica/article/view/447 db/journals/informaticaSI/informaticaSI37.html#LevaticDSS13

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. 2013 9 PLoS Comput. Biol. 1 https://doi.org/10.1371/journal.pcbi.1002852 https://www.wikidata.org/entity/Q34544393 db/journals/ploscb/ploscb9.html#SkuncaBKPDSS13

Nino Antulov-Fantulin Alen Lancic Hrvoje Stefancic Mile Sikic Tomislav Smuc Statistical inference framework for source detection of contagion processes on arbitrary network structures http://arxiv.org/abs/1304.0018 2013 CoRR abs/1304.0018 db/journals/corr/corr1304.html#abs-1304-0018

Dragan Gamberger Drazen Lucanin Tomislav Smuc Descriptive Modeling of Systemic Banking Crises. 67-80 2012 Discovery Science https://doi.org/10.1007/978-3-642-33492-4_8 conf/dis/2012 db/conf/dis/dis2012.html#GambergerLS12

Nino Antulov-Fantulin Matko Bosnjak Vinko Zlatic Miha Grcar Tomislav Smuc Memory biased random walk approach to synthetic clickstream generation http://arxiv.org/abs/1201.6134 2012 CoRR abs/1201.6134 db/journals/corr/corr1201.html#abs-1201-6134

Marin Prcela Dragan Gamberger Tomislav Smuc Nikola Bogunovic Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. 235-240 2010 HEALTHINF conf/biostec/2010hi db/conf/biostec/healthinf2010.html#PrcelaGSB10

Mislav Malenica Tomislav Smuc Jan Snajder Bojana Dalbelo Basic Language morphology offset: Text classification on a Croatian-English parallel corpus. 325-339 2008 44 Inf. Process. Manag. 1 https://doi.org/10.1016/j.ipm.2006.12.007 https://www.wikidata.org/entity/Q114261289 db/journals/ipm/ipm44.html#MalenicaSSB08

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. 307-314 2008 HEALTHINF (1) conf/biostec/2008hi1 db/conf/biostec/healthinf2008-1.html#GambergerPJSPVKSKCCG08 Tomislav Smuc Sensitivity of Differential Evolution Algorithm to Values of Control Parameters. 1087-1093 2002 conf/icai/2002-3 IC-AI db/conf/icai/icai2002-3.html#Smuc02 Tomislav Smuc Dragan Gamberger Goran Krstacic Combining Unsupervised and Supervised Machine Learning. 109-112 2001 conf/aime/2001 AIME https://doi.org/10.1007/3-540-48229-6_14 db/conf/aime/aime2001.html#SmucGK01 Goran Krstacic Dragan Gamberger Tomislav Smuc Coronary Heart Disease Patient Models Based on Inductive Machine Learning. 113-116 2001 conf/aime/2001 AIME https://doi.org/10.1007/3-540-48229-6_15 db/conf/aime/aime2001.html#KrstacicGS01 Dragan Gamberger Goran Krstacic Tomislav Smuc Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. 159-168 https://doi.org/10.1007/3-540-39949-6_20 2000 conf/ismda/2000 ISMDA db/conf/ismda/ismda2000.html#GambergerKS00 Dragan Gamberger Nada Lavrac Goran Krstacic Tomislav Smuc Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. 183-189 https://doi.org/10.1007/3-540-39949-6_22 2000 conf/ismda/2000 ISMDA db/conf/ismda/ismda2000.html#GambergerLKS00 Nino Antulov-Fantulin Bojana Dalbelo Basic Nikola Bogunovic Matko Bosnjak Maria Brbic Antonio Candelieri Domenico Conforti Saso Dzeroski Hadi Fanaee-T Sofia Fernandes 0001 João Gama 0001 Dragan Gamberger Miha Grcar Rosita Guido Alan Jovic Kalina Kawecka-Jaszcz Dragi Kocev Andrzej A. Kononowicz Anita Krisko Goran Krstacic Ilona M. Kulikovskikh Alen Lancic Nada Lavrac Mirjana Babic Leko Jurica Levatic Tomislav Lipic Drazen Lucanin Mislav Malenica Matej Mihelcic Iva Miholic Igor Mozetic Petra Kralj Novak Davor Orsolic Pance Panov Gianfranco Parati Tomaz Stepisnik Perdih Matija Piskorec Marin Prcela Mile Sikic Goran Simic Nives Skunca Borut Sluban Jan Snajder Hrvoje Stefancic Katarzyna Styczkiewicz Fran Supek Leo Tisljaric Mariaconsuelo Valentini Vedrana Vidulin Irena Vodenska Vinko Zlatic