Machine Learning, Faculty of Science, Department of Mathematics, Zagreb

1.1 Matija Piškorec, Nino Antulov-Fantulin, Petra Kralj Novak, Igor Mozetič, Miha Grčar, Irena Vodenska, T. Šmuc (2014), Cohesiveness in Financial News and its Relation to Market Volatility, Scientific Reports,  http://dx.doi.org/10.1038/srep05038.

1.2 N. Antulov-Fantulin, T. Šmuc, A. Lančić, H. Štefančić, M. Šikić, (2015) Identification of patient zero in static and temporal networks - robustness and limitations, Phys. Rev. Lett., 114(24), 248701.

1.3 M. Mihelčić, N. Lavrač, S. Džeroski, T. Šmuc, (2017) A framework for redescription set construction, Expert Systems With Applications 68 196–215. 

1.4 M. Mihelčić, S. Džeroski, N. Lavrač, T. Šmuc, (2017) Redescription mining augmented with random forest of predictive clustering trees, Journal of Intelligent Information Systems, 1-34. doi:10.1007/s10844-017-0448-5.

1.5 M. Mihelčić, G. Šimić, M. L. Babić, N. Lavrač, S. Džeroski, T. Šmuc (2017) Using redescription mining to relate clinical and biological characteristics of cognitively impaired and Alzheimer’s disease patients. PLOS ONE 12(10).

1.6   M. Mihelčić, T. Šmuc, (2018), Targeted and contextual redescription set exploration,  Machine Learning, https://doi.org/10.1007/s10994-018-5738-9

1.7   V., Vidulin, T. Šmuc, S. Džeroski, F. Supek, The evolutionary signal in metagenome phyletic
profiles predicts many gene functions, Microbiome  (2018) 6:129,          https://doi.org/10.1186/s40168-018-0506-4

1.8 V Vidulin, T Šmuc, F Supek, (2016). Extensive Complementarity between Gene Function Prediction Methods, Bioinformatics, 1367-4803.

1.9 M Brbić, M Piškorec, V Vidulin, A Kriško, T Šmuc and F Supek, (2016), The landscape of microbial phenotypic traits and associated genes, Nucleic acids research (0305-1048).

1.10P. Radivojac et al., (2013) A large-scale evaluation of computational protein function prediction; Nature Methods 10(3):221.

1.11Škunca N, Bošnjak M,  Kriško A, Panov P, Džeroski  S, Šmuc T, Supek F. (2012). Phyletic Profiling With Cliques of Orthologs Is Enhanced by Signatures of Paralogy  Relationships, PLoS Computational Biology.

1.12Supek F,  Bošnjak M, Škunca N, Šmuc T, (2011), REVIGO summarizes and visualizes long lists  of Gene Ontology  terms ,  PloS One,  (7):e21800. doi:10.1371/journal.pone.

Knjige i poglavlja u knjigama

Poglavlja u knjigama

• Mihelčić, M. & Šmuc, T. (2023) Rules, Subgroups and Redescriptions as Features in Classification Tasks. U: Koprinska, I., Mignone, P., Guidotti Riccardo, Jaroszewicz, S., Froning, H., Gullo, F., Ferreira, M. & Roqueiro, D. (ur.) Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2022.. Cham, Springer Nature Switzerland, str. 248-260 doi:10.1007/978-3-031-23618-1_17.

  doi

• Mihelčić, M., Džeroski, S. & Šmuc, T. (2018) Extending Redescription Mining to Multiple Views. U: Soldatova, L., Vanschoren, J., Papadopoulos, G. & Ceci, M. (ur.) 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Cham, Springer International Publishing, str. 292-307 doi:10.1007/978-3-030-01771-2_19.

  doi

• Supek, F. & Šmuc, T. (2011) Distance Measures and Machine Learning Approaches for Codon Usage Analyses. U: Cannarozzi, G. & Schneider, A. (ur.) Codon Evolution - Mechanisms and Models. Oxford, Oxford University Press, str. 229-244. (https://www.bib.irb.hr/533269).

• Trontl, K., Šmuc, T. & Pevec, D. (2010) Learning Support Vector Regression Models for Fast Radiation Dose Rate Calculations. U: Peters, H. & Vogel, M. (ur.) Machine Learning Research Progress. New York, Nova Science Publishers, Inc., str. 427-462.

• Kašner, M., Jelaković, B., Laganović, M., Željković, T., Kuzmanić, D., Boršo, G., Šmuc, T., Gamberger, D. & Rončević, P. (2003) Serum uric-acid is related to metabolic disturbance and associated to serum aldosterone in essential hypertension. U: Lewis, B., Halon, D., Flugelman, M. & Gensini, G. (ur.) Frontiers in Coronary Artery Disease : Proceedings of the 5th International Congress on Coronary Artery Disease. Bologna, Monduzzi Editore, str. 457-460.

Radovi u časopisima

Znanstveni i pregledni radovi

• Fernandes, S., Fanaee‑T, H., Gama, J., Tišljarić, L. & Šmuc, T. (2023) WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks. Machine learning, 112 (2), 459-481 doi:10.1007/s10994-021-05979-8.

  doi

• Mihelčić, M. & Šmuc, T. (2021) Approaches for Multi-View Redescription Mining. IEEE access, 9, 19356-19378 doi:10.1109/access.2021.3054245.

  doiieeexplore.ieee.orgieeexplore.ieee.orgfulir.irb.hr

• Jović, O. & Šmuc, T. (2021) Search for Novel Lead Inhibitors of Yeast Cytochrome bc1, from Drugbank and COCONUT. Molecules, 26 (14), 4323, 21 doi:10.3390/ molecules26144323.

  doiwww.mdpi.comdoi.orgfulir.irb.hr

• Vlainić, J., Jović, O., Kosalec, I., Vugrek, O., Čoz-Rakovac, R. & Šmuc, T. (2021) In Vitro Confirmation of Siramesine as a Novel Antifungal Agent with In Silico Lead Proposals of Structurally Related Antifungals. Molecules, 26 (12), 3504, 17 doi:10.3390/molecules26123504.

  doiwww.mdpi.comfulir.irb.hr

• Matulja, D., Grbčić, P., Bojanić, K., Topić-Popović, N., Čož-Rakovac, R., Laclef, S., Šmuc, T., Jović, O., Marković, D. & Pavelić Kraljević, S. (2021) Chemical Evaluation, Antioxidant, Antiproliferative, Anti-Inflammatory and Antibacterial Activities of Organic Extract and Semi-Purified Fractions of the Adriatic Sea Fan, Eunicella cavolini. Molecules, 26 (19), 5751, 21 doi:10.3390/molecules26195751.

  doiwww.mdpi.comfulir.irb.hrdoi.org

• Cichońska, A., Ravikumar, B., Allaway, R., Wan, F., Park, S., Isayev, O., Li, S., Mason, M., Lamb, A., Tanoli, Z., Jeon, M., Kim, S., Popova, M., Capuzzi, S., Zeng, J., Dang, K., Koytiger, G., Kang, J., Wells, C., Willson, T., The IDG-DREAM Drug-Kinase Binding Prediction Challenge Consortium, Oršolić, D., Lučić, B., Stepanić, V., Šmuc, T., Oprea, T., Schlessinger, A., Drewry, D., Stolovitzky, G., Wennerberg, K., Guinney, J. & Aittokallio, T. (2021) Crowdsourced mapping of unexplored target space of kinase inhibitors. Nature communications, 12, 3307, 18 doi:10.1038/s41467-021-23165-1.

  doiwww.nature.comdoi.orgfulir.irb.hr

• Oršolić, D., Pehar, V., Šmuc, T. & Stepanić, V. (2021) Comprehensive machine learning based study of the chemical space of herbicides. Scientific reports, 11, 11479, 12 doi:10.1038/s41598-021-90690-w.

  doiwww.nature.comdoi.orgfulir.irb.hr

• Jović, O. & Šmuc, T. (2020) Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel Fungicides. Molecules, 25 (9), 2198, 24 doi:10.3390/molecules25092198.

  doiwww.mdpi.comfulir.irb.hr

• Kulikovskikh, I., Lipić, T. & Šmuc, T. (2020) From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning. Entropy (Basel. Online), 22 (8), 906, 11 doi:10.3390/e22080906.

  doiwww.mdpi.comfulir.irb.hr

• Zhou, N., Jiang, Y., Bergquist, T., Lee, A., Kacsoh, B., Crocker, A., Lewis, K., Georghiou, G., Nguyen, H., Hamid, M., Davis, L., Dogan, T., Atalay, V., Rifaioglu, A., Dalkıran, A., Cetin Atalay, R., Zhang, C., Hurto, R., Freddolino, P., Zhang, Y., Bhat, P., Supek, F., Fernández, J., Gemovic, B., Perovic, V., Davidović, R., Sumonja, N., Veljkovic, N., Asgari, E., Mofrad, M., Profiti, G., Savojardo, C., Martelli, P., Casadio, R., Boecker, F., Schoof, H., Kahanda, I., Thurlby, N., McHardy, A., Renaux, A., Saidi, R., Gough, J., Freitas, A., Antczak, M., Fabris, F., Wass, M., Hou, J., Cheng, J., Wang, Z., Romero, A., Paccanaro, A., Yang, H., Goldberg, T., Zhao, C., Holm, L., Törönen, P., Medlar, A., Zosa, E., Borukhov, I., Novikov, I., Wilkins, A., Lichtarge, O., Chi, P., Tseng, W., Linial, M., Rose, P., Dessimoz, C., Vidulin, V., Dzeroski, S., Sillitoe, I., Das, S., Lees, J., Jones, D., Wan, C., Cozzetto, D., Fa, R., Torres, M., Warwick Vesztrocy, A., Rodriguez, J., Tress, M., Frasca, M., Notaro, M., Grossi, G., Petrini, A., Re, M., Valentini, G., Mesiti, M., Roche, D., Reeb, J., Ritchie, D., Aridhi, S., Alborzi, S., Devignes, M., Koo, D., Bonneau, R., Gligorijević, V., Barot, M., Fang, H., Toppo, S., Lavezzo, E., Falda, M., Berselli, M., Tosatto, S., Carraro, M., Piovesan, D., Ur Rehman, H., Mao, Q., Zhang, S., Vucetic, S., Black, G., Jo, D., Suh, E., Dayton, J., Larsen, D., Omdahl, A., McGuffin, L., Brackenridge, D., Babbitt, P., Yunes, J., Fontana, P., Zhang, F., Zhu, S., You, R., Zhang, Z., Dai, S., Yao, S., Tian, W., Cao, R., Chandler, C., Amezola, M., Johnson, D., Chang, J., Liao, W., Liu, Y., Pascarelli, S., Frank, Y., Hoehndorf, R., Kulmanov, M., Boudellioua, I., Politano, G., Di Carlo, S., Benso, A., Hakala, K., Ginter, F., Mehryary, F., Kaewphan, S., Björne, J., Moen, H., Tolvanen, M., Salakoski, T., Kihara, D., Jain, A., Šmuc, T., Altenhoff, A., Ben-Hur, A., Rost, B., Brenner, S., Orengo, C., Jeffery, C., Bosco, G., Hogan, D., Martin, M., O’Donovan, C., Mooney, S., Greene, C., Radivojac, P. & Friedberg, I. (2019) The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology, 20 (1), 244, 23 doi:10.1186/s13059-019-1835-8.

  doigenomebiology.biomedcentral.com

• Mihelčić, M., Šmuc, T. & Supek, F. (2019) Patterns of diverse gene functions in genomic neighborhoods predict gene function and phenotype. Scientific reports, 9 (1), 1-16 doi:10.1038/s41598-019-55984-0.

  doiwww.nature.com

• Kulikovskikh, I., Prokhorov, S., Lipić, T., Legović, T. & Šmuc, T. (2019) BioGD: Bio-inspired robust gradient descent. PLoS One, 14 (7), e0219004, 19 doi:10.1371/journal.pone.0219004.

  doijournals.plos.org

• Piškorec, M., Šmuc, T. & Šikić, M. (2019) Disentangling Sources of Influence in Online Social Networks. IEEE access, 7, 131692-131704 doi:10.1109/access.2019.2940762.

  doiieeexplore.ieee.orgdoi.orgfulir.irb.hr

• Mihelčić, M. & Šmuc, T. (2018) Targeted and contextual redescription set exploration. Machine learning, 107 (11), 1809-1846 doi:10.1007/s10994-018-5738-9.

  doi

• Vidulin, V., Šmuc, T., Džeroski, S. & Supek, F. (2018) The evolutionary signal in metagenome phyletic profiles predicts many gene functions. Microbiome, 6 (1), 129, 21 doi:10.1186/s40168-018-0506-4.

  doimicrobiomejournal.biomedcentral.comlink.springer.com

• Mihelčić, M., Džeroski, S., Lavrač, N. & Šmuc, T. (2018) Redescription mining augmented with random forest of multi-target predictive clustering trees. Journal of Intelligent Information Systems, 50 (1), 63-96 doi:10.1007/s10844-017-0448-5.

  doi

• (Alzheimer’s Disease Neuroimaging Initiative) Mihelčić, M., Šimić, G., Babić Leko, M., Lavrač, N., Džeroski, S. & Šmuc, T. (2017) Using redescription mining to relate clinical and biological characteristics of cognitively impaired and Alzheimer's disease patients. PLoS One, 12 (10), 1-35 doi:10.1371/journal.pone.0187364.

  doi

• Mihelčić, M., Džeroski, S., Lavrač, N. & Šmuc, T. (2017) A framework for redescription set construction. Expert systems with applications, 68, 196-215 doi:10.1016/j.eswa.2016.10.012.

  doi

• Brbić, M., Piškorec, M., Vidulin, V., Kriško, A., Šmuc, T. & Supek, F. (2016) The landscape of microbial phenotypic traits and associated genes. Nucleic acids research, 44 (21), 10074-10090 doi:10.1093/nar/gkw964.

  doi

• Vidulin, V., Šmuc, T. & Supek, F. (2016) Extensive Complementarity between Gene Function Prediction Methods. Bioinformatics, 32 (23), 3645-3653 doi:10.1093/bioinformatics/btw532.

  doi

• Antulov-Fantulin, N., Lančić, A., Šmuc, T., Štefančić, H. & Šikić, M. (2015) Identification of Patient Zero in Static and Temporal Networks : Robustness and Limitations. Physical Review Letters, 114, 248701-1 doi:10.1103/PhysRevLett.114.248701.

  doi

• Piškorec, M., Antulov-Fantulin, N., Kralj Novak, P., Mozetič, I., Grčar, M., Vodenska, I. & Šmuc Tomislav (2014) Cohesiveness in Financial News and its Relation to Market Volatility. Scientific Reports, 4, 5038-1 doi:10.1038/srep05038.

  doi

• Levatić, J., Džeroski, S., Supek, F. & Šmuc, T. (2013) Semi-Supervised Learning for Quantitative Structure- Activity Modeling. Informatica (Ljubljana), 37 (2), 173-179.

  www.informatica.sifulir.irb.hr

• Radivojac, P., ..., Škunca, N., Supek, F., Bošnjak, M., ..., Šmuc, T., ... & Friedberg, I. (2013) A large-scale evaluation of computational protein function prediction. Nature methods, 10 (3), 221-227 doi:10.1038/nmeth.2340.

  doi

• Gamberger, D. & Šmuc, T. (2013) Good Governance Problems and Recent Financial Crises in Some EU Countries. Economics-The Open Access Open-Assessment E-Journal, 7, 201341, 21 doi:10.5018/economics-ejournal.ja.2013-41.

  doiwww.economics-ejournal.orgfulir.irb.hr

• Levatić, J., Ćurak, J., Kralj, M., Šmuc, T., Osmak, M. & Supek, F. (2013) Accurate Models for P-gp Drug Recognition Induced from a Cancer Cell Line Cytotoxicity Screen. Journal of medicinal chemistry, 56 (14), 5691-5708 doi:10.1021/jm400328s.

  doi

• Šimpraga, M., Šmuc, T., Matanović, K., Radin, L., Shek-Vugrovečki, A., Ljubičić, I. & Vojta, A. (2013) Reference intervals for organically raised sheep: Effects of breed, location and season on hematological and biochemical parameters. Small ruminant research, 112 (1-3), 1-6 doi:10.1016/j.smallrumres.2012.11.032.

  doi

• Škunca, N., Bošnjak, M., Kriško, A., Panov, P., Džeroski, S., Šmuc, T. & Supek, F. (2012) Phyletic Profiling With Cliques of Orthologs is Enhanced by Signatures of Paralogy Relationships. Plos computational biology, 9 (1), e100285, 14 doi:10.1371/journal.pcbi.1002852.

  doijournals.plos.orgfulir.irb.hr

• Ester, K., Supek, F., Majsec, K., Marjanović, M., Lembo, D., Donalisio, M., Šmuc, T., Jarak, I., Karminski-Zamola, G. & Kralj, M. (2012) Putative mechanisms of antitumor activity of cyano-substituted heteroaryles in HeLa cells. Investigational new drugs, 30 (2), 450-467 doi:10.1007/s10637-010-9571-7.

  doi

• Rios-Morales, R., Gamberger, D., Jenkins, I., Šmuc, T. & (2011) Modelling investment in the tourism industry using the World Bank's good governance indicators. Journal of modelling in management, 6 (3), 279-296 doi:10.1108/17465661111183694.

  doi

• Supek, F., Bošnjak, M., Škunca, N. & Šmuc, T. (2011) REVIGO summarizes and visualizes long lists of Gene Ontology terms. PLoS One, 6 (7), e21800-e21800 doi:10.1371/journal.pone.0021800.

  doifulir.irb.hr

• Smole, Z., Nikolić, N., Supek, F., Šmuc, T., Sbalzarini, I. & Kriško, A. (2011) Proteome sequence features carry signatures of the environmental niche of prokaryotes. Bmc evolutionary biology, 11, 26, 10 doi:10.1186/1471-2148-11-26.

  doi

• Supek, F., Šumanovac Ramljak, T., Marjanović, M., Buljubašić, M., Kragol, G., Ilić, N., Šmuc, T., Zahradka, D., Mlinarić-Majerski, K. & Kralj, M. (2011) Could LogP be a principal determinant of biological activity in 18-crown-6 ethers? Synthesis of biologically active adamantane-substituted diaza-crowns. European Journal of Medicinal Chemistry, 46 (8), 3444-3454 doi:10.1016/j.ejmech.2011.05.009.

  doi

• Čož-Rakovac, R., Lisičić, D., Šmuc, T., Topić Popović, N., Strunjak-Perović, I., Jadan, M., Tadić, Z. & Jug Dujaković, J. (2011) Classification Modelling of Physiological Stages in Captive Balkan Whip Snakes Using Blood Biochemistry Parameters. Journal of herpetology, 45 (4), 525-529. (https://www.bib.irb.hr/505756).

• Budimir, A., Šmuc, T., Weitner, T., Batinić-Haberle, I. & Biruš, M. (2010) Thermodynamics and electrochemistry of manganese ortho-tetrakis(N-n-butylpyridinium-2-yl)porphyrin in aqueous solutions. Journal of coordination chemistry, 63 (14/16), 2750-2765 doi:10.1080/00958972.2010.502571.

  doi

• Supek, F. & Šmuc, T. (2010) On Relevance of Codon Usage to Expression of Synthetic and Natural Genes in Escherichia coli. Genetics, 185, 1129-1134 doi:10.1534/genetics.110.115477.

  doi

• Supek, F., Škunca, N., Repar, J., Vlahoviček, K. & Šmuc, T. (2010) Translational Selection Is Ubiquitous in Prokaryotes. Plos genetics, 6 (6), e1001004, 13 doi:10.1371/journal.pgen.1001004.

  doijournals.plos.org

• Gredičak, M., Supek, F., Kralj, Marijeta, Majer, Zsuzsa, Hollosi, M., Šmuc, T., Mlinarić-Majerski, K. & Horvat, Š. (2010) Computational structure-activity study directs synthesis of novel antitumor enkephalin analogs. Amino acids (Wien), 38 (4), 1185-1191 doi:10.1007/s00726-009-0329-5.

  doi

• Rios-Morales, R., Gamberger, D., Šmuc, T. & Azuaje, F. (2009) Innovative methods in assessing political risk for business internationalization. Research in international business and finance, 23, 144-156 doi:10.1016/j.ribaf.2008.03.011.

  doi

• Čož-Rakovac, R., Topić Popović, N., Šmuc, T., Strunjak-Perović, I. & Jadan, M. (2009) Classification accuracy of algorithms for blood chemistry data of three aquaculture-influenced marine fish species. Fish Physiology and Biochemistry, 35 (4), 641-647 doi:10.1007/s10695-008-9288-0.

  doi

• Krstačić, G., Gamberger, D., Krstačić, A., Šmuc, T. & Miličić, D. (2008) The Chaos Theory and Non-linear Dynamics in Heart Rate Variability in Patients with Heart Failure. Computers in cardiology, 35, 957-959.

  cinc.mit.edu

• Trontl, K., Pevec, D. & Šmuc, T. (2008) Machine learning of the reactor core loading pattern critical parameters. Science and Technology of Nuclear Installations, 2008, 695153, 7 doi:10.1155/2008/695153.

  doiwww.hindawi.comfulir.irb.hr

• Supek, F., Kralj, M., Marjanović, M., Šuman, L., Šmuc, T., Krizmanić, I. & Žinić, B. (2008) Atypical cytostatic mechanism of N -1-sulfonylcytosine derivatives determined by in vitro screening and computational analysis. Investigational new drugs, 26 (2), 97-110 doi:10.1007/s10637-007-9084-1.

  doi

• Čož-Rakovac, R., Strunjak-Perović, I., Topić Popović, N., Hacmanjek, M., Šmuc, T., Jadan, M., Lipej, Z. & Homen, Z. (2008) Cage culture effects on mullets (Mugilidae) liver histology and blood chemistry profile. Journal of Fish Biology, 72 (10), 2557-2569 doi:10.1111/j.1095-8649.2008.01865.x.

  doi

• Čož-Rakovac, R., Šmuc, T., Topić Popović, N., Strunjak-Perović, I., Hacmanjek, M. & Jadan, M. (2008) Novel methods for assesing fish blood biochemical data. Journal of Applied Ichthyology, 24 (1), 77-80 doi:10.1111/j.1439-0426.2007.01041.x.

  doi

• Supek, F., Peharec, P., Krsnik-Rasol, M. & Šmuc, T. (2008) Enhanced analytical power of SDS-PAGE using machine learning algorithms. Proteomics, 8 (1), 28-31 doi:10.1002/pmic.200700555.

  doi

• Malenica, M., Šmuc, T., Šnajder, J. & Dalbelo Bašić, B. (2008) Language Morphology Offset: Text Classification on a Croatian-English Parallel Corpus. Information processing & management, 44 (1), 325-339 doi:10.1016/j.ipm.2006.12.007.

  doi

• Trontl, K., Šmuc, T. & Pevec, D. (2007) Support vector regression model for the estimation of γ -ray buildup factors for multi-layer shields. Annals of Nuclear Energy, 34 (12), 939-952.

• Marjanović, M., Kralj, M., Supek, F., Frkanec, L., Piantanida, I., Šmuc, T. & Tušek-Božić, L. (2007) Antitumor potential of crown ethers: structure activity relationships, cell cycle disturbances and cell death studies of a series of ionophores. Journal of medicinal chemistry, 50 (5), 1007-1018 doi:10.1021/jm061162u.

  doi

• Jelaković, B., Dika, Ž., Kos, J., Pećin, I., Laganović, M., Jovanović, A., Šmuc, T., Gamberger, D. & Kuzmanić, D. (2006) Liječenje i kontrola arterijske hipertenzije u Hrvatskoj. BEL-AH istraživanje. Liječnički vjesnik : glasilo Hrvatskoga liječničkog zbora, 128 (11-12), 329-333.

  lijecnicki-vjesnik.hlz.hr

• Supek, F., Šmuc, T. & Lučić, B. (2005) A prototype structure-activity relationship model based on National Cancer Institute cell line screening data. Periodicum Biologorum, 107 (4), 451-455.

• Marić, I., Galović, A. & Šmuc, T. (2005) Calculation of natural gas isentropic exponent. Flow measurement and instrumentation, 16 (1), 13-20.

• Pavlović, M., Šantić, B., Desnica-Franković, D., Radić, N., Šmuc, T. & Desnica, U. (2003) The Impact of Deep Levels on Photocurrent Transients in Semi-Insulating GaAs. Journal of electronic materials, 32 (10), 1100-1106 doi:10.1007/s11664-003-0094-2.

  doi

• Krstačić, G., Gambberger, D., Šmuc, T. & Krstačić, A. (2001) Some R-R interval based paroxysmal atrial fibrillation predictors. Computers in cardiology, 28, 409-412.

• Grošev, D., Medvedec, M., Lončarić, S., Žuvić, M., Dodig, D. & Šmuc, T. (1998) Determination of small objects from pinhole scintigrams. Nuclear medicine communications, 19 (7), 679-688.

Radovi u zbornicima skupova

Znanstveni radovi u zbornicima skupova

• Piškorec, M., Antulov-Fantulin, N., Miholić, I., Šmuc, T. & Šikić, M. (2017) Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. U: Cherifi, C., Cherifi, H., Karsai, M. & Musolesi, M. (ur.)Complex Networks and Their Applications VI: Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) doi:10.1007/978-3-319-72150-7_82.

  doi

• Levatić, J., Brbić, M., Stepišnik Perdih, T., Kocev, D., Vidulin, V., Šmuc, T., Supek, F. & Džeroski, S. (2017) Phenotype prediction with semi-supervised learning. U: New frontiers in mining complex patterns NFMCP 2017, Lecture Notes in Computer Science.

• Brbić, M., Piškorec, M., Vidulin, V., Kriško, A., Šmuc, T. & Supek, F. (2017) Phenotype Inference from Text and Genomic Data. U: Altun, Y., Das, K. & et al. (ur.)ECML-PKDD 2017, Lecture Notes in Computer Science doi:10.1007/978-3-319-71273-4_34.

  doi

• Mihelčić, M., Džeroski, S., Lavrač, N. & Šmuc, T. (2016) Redescription Mining with Multi-target Predictive Clustering Trees. U: New Frontiers in Mining Complex Patterns, 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015 : Conference proceedings doi:10.1007/978-3-319-39315-5_9.

  doi

• Mihelčić, M. & Šmuc, T. (2016) InterSet: Interactive Redescription Set Exploration. U: Calders, T., Ceci, M. & Malerba, D. (ur.)International Conference on Discovery Science DS 2016 : Proceedings doi:10.1007/978-3-319-46307-0_3.

  doi

• Vidulin, V., Brbić, M., Supek, F. & Šmuc, T. (2016) Evaluation of fusion approaches in large-scale bio-annotation setting. U: Ksieniewicz, P. (ur.)Proceedings of the 4th Workshop on Machine Learning in Life Sciences.

• Piškorec, M., Sluban, B. & Šmuc, T. (2015) MultiNets: Web-Based Multilayer Network Visualization. U: Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou (ur.)Lecture Notes in Computer Science.

• Antulov-Fantulin, N., Lančić, A., Štefančić, H., Šikić, M. & Šmuc, T. (2015) Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. U: Proceedings of 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops.

• Antulov-Fantulin, N., Bošnjak, M., Zlatić, V., Grčar, M. & Šmuc Tomislav (2014) Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network. U: Džeroski, S., Panov, P., Kocev, D. & Todorovski, L. (ur.)Proceedings of 17th International Conference, DS 2014, Lecture Notes in Computer Science, Vol. 8777.

• Gamberger, D., Lučanin, D. & Šmuc, T. (2013) Analysis of World Bank Indicators for Countries with Banking Crises by Subgroup Discovery Induction. U: Biljanović, P. (ur.)Mipro-2013 Proceedings.

• Piškorec Matija, Bošnjak Matko & Šmuc Tomislav (2012) Meta-Modeling Execution Times of RapidMiner operators. U: Ficher, S. & Mierswa, I. (ur.)Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012). (https://www.bib.irb.hr/1241699).

• Gamberger, D., Lučanin, D. & Šmuc, T. (2012) Descriptive modeling of systemic banking crises. U: Ganascia, J., Lenca, P. & Petit, J. (ur.)Discovery Science 15th International Conference, DS 2012.

• Mihelčić, M., Antulov-Fantulin, N., Bošnjak, M., Šmuc, T. & (2012) Extending RapidMiner with recommender systems algorithms. U: Ficher, S. & Mierswa, I. (ur.)Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012). (https://www.bib.irb.hr/596976).

• Antulov-Fantulin, N., Bošnjak, M., Žnidaršič, M., Grčar, M., Morzy, M. & Šmuc, T. (2011) ECML-PKDD 2011 Discovery Challenge Overview. U: Šmuc, T., Antulov-Fantulin, N. & Morzy, M. (ur.)Proceedings of the ECML-PKDD 2011 Workshop on Discovery Challenge.

• Prcela, M., Gamberger, D., Šmuc, T., Bogunović, N. & (2010) Information gain of structured medical diagnostic tests: Integration of Bayesian networks and ontologies. U: Fred, A., Filipe, J., Gamboa, H. & (ur.)Proceedings of International Conference on Biomedical Engineering Systems and Technologies.

• Bogunović, N. & Šmuc, T. (2008) Applicability of Qualitative ECG Processing to Wearable Computing. U: Zhang, Y. (ur.)Proceedings of the 5th International Workshop and Symposium on Wearable and Implanzable Body Sensor Networks.

• Trontl, K., Pevec, D. & Šmuc Tomislav (2008) On Input Vector Representation for the SVR Model of Reactor Core Loading Pattern Critical Parameters. U: Čavlina, N., Pevec, D. & Bajs, T. (ur.)7th International Conference on Nuclear Option in Countries with Small and Medium Electricity Grids - Conference Proceedings.

• Gamberger, D., Prcela, M., Jović, A., Šmuc, T., Parati, G., Valentini, M., Kawecka-Jaszcz, K., Styczkiewicz, K., Kononowicz, A., Candelieri, A., Conforti, D., Guido, R. & (2008) Medical knowledge representation within Heartfaid platform. U: BIOSTEC 2008.

• Trontl, K., Pevec, D. & Šmuc, T. (2005) Application of Support Vector Regression in Estimation of Buildup Factors for Double-Layered Shields. U: Proceedings of European Nuclear Conference ENC 2005.

• Topić, G., Šmuc, T., Šojat, Z. & Skala, K. (2005) Reimplementation of the Random Forest Algorithm. U: Vajtersic, M. (ur.)Parallel Numerics, Theory and Applications.

• Gergeta, K., Pevec, D. & Šmuc, T. (2004) Depletion Modeling of Integral Burnable Absorbers Containing Enriched Boron. U: Pevec, D. & Debrecin, N. (ur.)5th International Conference Nuclear Option in Countries with Small and Medium Electricity Grids.

• Gamberger, D., Šmuc, T. & Lavrač, N. (2003) Subgroup Discovery: On-line Data Mining Server and its Application. U: Arnež, Z., Brebbia, C., Solina, F. & Stankovski, V. (ur.)Simulations in Biomedicine V.

• Trontl, K., Gergeta, K. & Šmuc, T. (2002) FUMACS-G, a Graphical User Interface for FUMACS Code Package. U: Kanpp, V. & et al. (ur.)Proceedings of 4th International Conference Nuclear Option in Countries with Small and Medium Electricity Grids.

• Krstačić, G., Krstačić, A., Martinis, M., Vargović, E., Knežević, A., Šmalcelj, A., Jembrek-Gostović, M., Gamberger, D. & Šmuc, T. (2002) Non-Linear Analysis of Heart Rate Variability in Patients with Coronary Heart Disease. U: Computers in Cardiology 2002.

• Krstačić, G., Krstačić, A., Martinis, Mladen, Vargović, Emil, Knežević, Andrea, Šmalcelj, Anton, Jembrek-Gostović, M., Gamberger, D. & Šmuc, Tomislav, (2002) Non-linear Analysis of Heart Rate Variability in Patients with Coronary Heart Disease. U: Alan Murray (ur.)Computers in Cardiology.

• Šmuc, T. (2002) Improving Convergence Properties of the Differential Evolution Algorithm. U: Maotušek, R. & Ošmera, P. (ur.)Proceedings of the MENDEL 2002 - 8th International Conference on Soft Computing.

• Šmuc, T. (2002) Sensitivity of Differential Evolution Algorithm to Values of Control Parameters. U: Arabnia, H. & Mun, Y. (ur.)Proceedings of the International Conference on Artificial Intelligence.

• Šmuc, T., Marić, I., Bosanac, G., Gamberger, D., Bogunović, N. & Krstačić, G. (2002) Dynamic Features of the Normal Heart Rate Variability. U: Murray, A. (ur.)Proceedings of International Conference Computers in Cardiology 2002 doi:10.1109/CIC.2002.1166752.

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• Šmuc, T., Gamberger, D. & Krstačić, G. (2001) Combining unsupervised and supervised machine learning in analysis of the CHD patient database. U: Quaglini, S., Barahona, P. & Andreassen, S. (ur.)8th Conference on Artificial Intelligence in Medicine in Europe.

• Krstačić, G., Gamberger, D. & Šmuc, T. (2001) Coronary heart disease patient models based on inductive machine learning. U: Quaglini, S., Barahona, P. & Andreassen, S. (ur.)8th Conference on Artificial Intelligence in Medicine in Europe.

• Pevec, D., Grgić, D., Ječmenica, R., Trontl, K., Gergeta, K. & Šmuc, T. (2001) Upgrade of the FUMACS Code Package. U: Proceedings of the International Conference Nuclear Energy in Central Europe 2001. (https://www.bib.irb.hr/72821).

• Pevec, D. & Šmuc, T. (2000) Investigating a Possibility to Extend an Operating Cycle Length of NPP Krško. U: unknown (ur.)Operating Cycle Extension of Nuclear Power Plants, Proceeedings of a Technical Committee Meeting.

• Baće, M., Trontl, K. & Šmuc, T. (2000) Double Tiering as an Option for Spent Fuel Pool Capacity Increase. U: Mavko, B., Cizelj, L. & Kovač, M. (ur.)Proceedings of the International Conference Nuclear Energy in Central Europe 2000.

• Baće, M., Trontl, K. & Šmuc, T. (2000) Double tiering as an option for spent fuel pool capacity increase. U: Ravnik, M. & Žagar, T. (ur.)Proceedings of the International Conference Nuclear Energy in Central Europe 2000.

• Baće, M., Ječmenica, R. & Šmuc, T. (2000) Radiological shielding analysis of special building for the old NPP Krško steam generators. U: Knapp, V. & Čavlina, N. (ur.)International Conference Nuclear Option in Countries with Small and Medium Electricity Grids : proceedings.

• Baće, M., Ječmenica, R. & Šmuc, T. (1999) Validation of SCALE Code Package on High Performance Neutron Shields. U: Gortnar, O. & Stritar, A. (ur.)International Conference: Nuclear Energy in Central Europe '99, Proceedings, Volume 1.

• Šmuc, T. & de Leege P.F.A., K. (1999) Demonstration of the Compact Depletion Models for Burnup Calculations. U: Proceedings of the Int. Conf. on Mathematics and Computation, Reactor Physics and Environmental Analysis in Nuclear Applications.

• Šmuc, T. & de Leege, P. (1999) Improved Cross-Section Homogenisation for Research Reactor Criticality Calculations. U: Proceedings of The Sixth Int. Conf. on Nuclear Criticality Safety.

• Šmuc, T., Bogunović, N. & Šarić, D. (1999) Evolutionary Algorithm for Steiner Tree Optimization. U: Kalpić, D. Hljuz, V. (ur.)Proc. of the 21st Int. Conf. ITI'99 - Information Technology Interfaces.

• Bogunović, N. & Šmuc, T. (1999) Comparison of Methods for Reduction of Computational Complexity in Bayesian Networks. U: Computers in Intelligent Systems.

• Šmuc, T., Pevec, D. & Bilić, T. (1998) Equilibrium Cycles of NPP Krško after Power Uprate. U: Knapp, V. & Čavlina, N. (ur.)International Conference: Nuclear Option in Countries with Small and Medium Electricity Grids, Conference Proceedings.

• Šmuc, T., Ječmenica, R. & Trontl, K. (1998) Validation of QAD-CGGP for Shielding Analyses of Intermediate and Low Level Waste Drums. U: Knapp, V. & Čavlina, N. (ur.)International Conference Nuclear Option in Countries with Small and Medium Electricity Grids : Conference Proceedings.

• Baće, M., Pevec, D. & Šmuc, T. (1998) Reracking Possibilities of the NPP Krško Spent Fuel Pool. U: Knapp, V. & Čavlina, N. (ur.)International Conference: Nuclear Option in Countries with Small and Medium Electricity Grids, Conference Proceedings.

• Bilić, T., Pevec, D. & Šmuc, T. (1998) Investigating a possibility to implement 24-month cycle in NPP Krško. U: Ravnik, M., Jenčič, I. & Žagar, T. (ur.)Nuclear Energy in Central Europe '98, Proceedings.

• Trontl, K., Baće, M. & Šmuc, T. (1998) Incorporation of multi-layer option into QAD-CGGP code. U: Ravnik, M., Jenčič, I. & Žagar, T. (ur.)Nuclear Energy in Central Europe '98, Proceedings.

• Baće, M., Pevec, D. & Šmuc, T. (1998) Reracking Possibilities of the NPP Krško Spent Fuel Pool. U: Knapp, V. & Čavlina, N. (ur.)Proceedings of the International Conference: Nuclear Option in Countries with Small and Medium Energy Grid.

• Šmuc, T., Pevec, D. & Bilić, T. (1998) Equilibrium cycles of NPP Krško after power uprate. U: Knapp, V. & Čavlina, N. (ur.)Proceedings of the International Conference: Nuclear Option in Countries with Small and Medium Grid.

• Trontl, K., Baće, M. & Šmuc, T. (1998) Incorporation of multi-layer option into QAD-CGGP code. U: Ravnik, M., Jenčić, I. & Žagar, T. (ur.)Proceedings of the 5th Regional Meeting : Nuclear Energy in Central Europe.

• Bilić, T., Pevec, D. & Šmuc, T. (1998) Investigating a possibility to implement 24-month cycle in NPP Krško. U: Ravnik, M., Jenčić, I. & Žagar, T. (ur.)Proceedings of the 5th Regional Meeting : Nuclear Energy in Central Europe.

• Baće, M., Pevec, D. & Šmuc, T. (1997) Impact of Burnup on the NPP Krško Spent Fuel Pool Criticality. U: Mavko, B. & Cizelj, L. (ur.)Proceedings of 4th Regional Meeting Nuclear Energy in Central Europe.

• Baće, M., Pevec, D. & Šmuc, T. (1997) Impact of burnup credit on the NPP Krško spent fuel pool criticality. U: Maučec, M. (ur.)Proceedings of the 4th Regional Meeting : Nuclear Energy in Central Europe.

• Bernnat, W., Lutz, D., Pevec, D. & Šmuc, T. (1996) Generation of group constants for NPP Krško using RSYST code package. U: Knapp, V. & Čavlina, N. (ur.)Proceedings of International Conference : Nuclear Option in Countries with Small and Medium Electricity Grid.