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Books

  • Sašo Džeroski, Panče Panov, Dragi Kocev, and Ljupčo Todorovski (Eds). Discovery science: 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, LNCS Vol. 8777 © Springer

Journal papers

  • Aleksandra Rashkovska, Dragi Kocev, and Roman Trobec. Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling, Computer Methods and Programs in Biomedicine, vol. 122, no. 2, pp. 136-148, 2015 pdf © Elsevier
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, and Sašo Džeroski. Improving bag-of-visual-words image retrieval with predictive clustering trees, Information Sciences, in press, 2015 pdf © Elsevier
  • Sašo Jančič, Polona Zalar, Dragi Kocev, Hans-Josef Schroers, Sašo Džeroski, and Nina Gunde-Cimerman. Halophily reloaded: new insights into the extremophilic life-style of Wallemia with the description of Wallemia hederae sp. nov, Fungal diversity, in press, 2015 pdf © Springer
  • Jurica Levatić, Dragi Kocev, Marko Debeljak, and Sašo Džeroski. Community structure models are improved by exploiting taxonomic rank with predictive clustering trees, Ecological Modelling, vol. 306, pp. 294-304, 2015 pdf © Elsevier
  • Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, and Sašo Džeroski. Improved medical image modality classification using a combination of visual and textual features, Computerized Medical Imaging and Graphics, vol. 39, pp. 14-26, 2015 pdf ©Elsevier
  • Jurica Levatić, Dragi Kocev, and Sašo Džeroski. The importance of the label hierarchy in hierarchical multi-label classification, Journal of Intelligent Information Systems, vol. 45, no. 2, pp. 247-271, 2015 pdf © Springer
  • Janja Zajc, Sašo Džeroski, Dragi Kocev, Aharon Oren, Silva Sonjak, Rok Tkavc, and Nina Gunde-Cimerman. Chaophilic or chaotolerant fungi: a new category of extremophiles?, Frontiers in Microbiology, vol.5, no.708, pp. 1-15, 2014 pdf ©Frontiers
  • Dragi Kocev, Celine Vens, Jan Struyf, and Sašo Džeroski. Tree ensembles for predicting structured outputs, Pattern Recognition, vol. 46, no. 3, pp. 817-833, 2013 pdf © Elsevier
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, and Sašo Džeroski. Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees, Pattern Recognition Letters, vol. 38, pp. 38-45, 2013 pdf © Elsevier
  • Dragi Kocev, and Sašo Džeroski. Habitat modelling with single- and multi-target trees and ensembles, Ecological Informatics, vol. 18, pp. 79-92, 2013 pdf © Elsevier Supplementary material
  • Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, and Sašo Džeroski. An extensive experimental comparison of methods for multi-label learning, Pattern Recognition, vol. 45, no. 9, pp. 3084-3104, 2012 pdf © Elsevier
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, and Sašo Džeroski. Hierarchical classification of diatom images using ensembles of predictive clustering trees, Ecological Informatics, vol. 7, no. 1, pp. 19-29, 2012 pdf © Elsevier
  • Jérôme Cortet, Dragi Kocev, Caroline Ducobu, Sašo Džeroski, Marko Debeljak, and Christophe Schwartz. Using data mining to predict soil quality after application of biosolids in agriculture, Journal of Environmental Quality, vol. 40, no. 6, pp. 1972-1982, 2011 pdf © ASA
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, and Sašo Džeroski. Hierarchical annotation of medical images, Pattern Recognition, vol. 44, no. 10-11, pp. 2436-2449, 2011 pdf © Elsevier
  • Reuben Keller, Dragi Kocev, and Sašo Džeroski. Trait-based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools, Diversity and Distributions, vol. 17, no. 3, pp. 451-461, 2011 pdf © Wiley
  • Marko Debeljak, Geoff R. Squire, Dragi Kocev, Cathy Hawes, Marc W. Young, and Sašo Džeroski. Analysis of time series data on agroecosystem vegetation using predictive clustering trees, Ecological Modelling, vol. 222, no. 14, pp. 2524-2529, 2011 pdf © Elsevier
  • Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, and Sašo Džeroski. Predicting gene function using hierarchical multi-label decision tree ensembles, BMC Bioinformatics, vol. 11, no. 2, str. 1-14, 2010 pdf © BioMed Central
  • Dragi Kocev, Andreja Naumoski, Kosta Mitreski, Svetislav Krstić, and Sašo Džeroski. Learning habitat models for the diatom community in Lake Prespa, Ecological Modelling, vol. 221, no. 2, pp. 330-337, 2010 pdf, supplementary © Elsevier
  • Dragi Kocev, Sašo Džeroski, Matt D. White, Graeme R. Newell, Peter Griffioen. Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition, Ecological Modelling, vol. 220, no. 8, pp. 1159-1168, 2009 pdf, supplementary © Elsevier
  • Marko Debeljak, Dragi Kocev, William Towers, Mark Jones, Bryan Griffiths, and Paul Hallett. Potential of multi-objective models for risk-based mapping of the resilience characteristics of soils: demonstration at a national level, Soil Use and Management, vol. 25, no. 1, pp. 66-77, 2009 pdf © Wiley

Conference and workshop papers

  • Dragi Kocev and Michelangelo Ceci. Ensembles of extremely randomized trees for multi-target regression, Discovery science DS-2015, LNCS vol. 9356, pp. 86-100, 2015 pdf © Springer-Verlag
  • Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, and Dragi Kocev. Web genre classification via hierarchical multi-label classification, Intelligent Data Engineering and Automated Learning – IDEAL 2015, LNCS vol. 9375, pp. 9-17, 2015 pdf © Springer-Verlag, Best paper award
  • Jurica Levatić, Michelangelo Ceci, Dragi Kocev, and Sašo Džeroski. Semi-supervised learning for multi-target regression, Proceedings of the Workshop on New frontiers in mining complex patterns held in conjunction with ECML/PKDD2014, pp. 110-123, 2014 pdf
  • Jurica Levatić, Dragi Kocev, and Sašo Džeroski. The use of the label hierarchy in hierarchical multi-label classification improves performance, New Frontiers in Mining Complex Patterns, LNCS vol. 8399, pp. 162-177, 2014 pdf © Springer-Verlag
  • Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, and Sašo Džeroski. ReliefF for hierarchical multi-label classification, New Frontiers in Mining Complex Patterns, LNCS vol. 8399, pp. 148-161, 2014 pdf © Springer-Verlag
  • Ivica Dimitrovski, Gjorgji Madjarov, Petre Lameski, and Dragi Kocev. Maestra at LifeCLEF 2014 Plant task: Plant identification using visual data, Working Notes for the CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014 pdf © CLEF
  • Dragi Kocev, Ivica Slavkov, and Sašo Džeroski. Feature ranking for multi-label classification using predictive clustering trees, Proceedings of the Solving complex machine learning problems with ensemble methods held in conjunction with ECML/PKDD2013, pp. 56-68, 2013 pdf
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska, and Sašo Džeroski. Fast and scalable image retrieval using predictive clustering trees, Discovery Science DS-2013, LNCS vol. 8140, pp. 33-48, 2013 pdf © Springer-Verlag
  • Jurica Levatić, Dragi Kocev, and Sašo Džeroski. The use of the label hierarchy in HMC improves performance: A case study in predicting community structure in ecology, Proceedings of the Workshop on New frontiers in mining complex patterns held in conjunction with ECML/PKDD2013, pp. 189-201, 2013 pdf
  • Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, and Sašo Džeroski. Extending ReliefF for hierarchical multi-label classification, Proceedings of the Workshop on New frontiers in mining complex patterns held in conjunction with ECML/PKDD2013, pp. 156-167, 2013 pdf
  • Valentin Gjorgjioski, Dragi Kocev, and Sašo Džeroski. Comparison of distances for multi-label classification with PCTs, Proceedings of the 14th International Multiconference - Information Society IS 2011, pp.121-124, 2011 pdf
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska, and Sašo Džeroski. Detection of visual concepts and annotation of images using ensembles of trees for hierarchical multi-label classification, Recognizing patterns in signals, speech, images and videos : ICPR 2010 Contests, LNCS vol. 6388, pp. 152-162, 2010 pdf© Springer-Verlag
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska, and Sašo Džeroski. ImageCLEF 2009 medical image annotation task : PCTs for hierarchical multi-label classification, Proceedings of the 10th Workshop of the Cross-language Evaluation Forum, LNCS vol. 6242, pp. 231-238, 2010 pdf© Springer-Verlag
  • Dragi Kocev, Bernard Ženko, Petra Paul, Coenraad Kuijl, Jacques Neefjes,and Sašo Džeroski. Predictive clustering relates gene annotations to phenotype properties extracted from images, Proceedings of the 4th Workshop on Machine learning in system biology , pp. 137-139, 2010 pdf
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska, and Sašo Džeroski. Detection of visual concepts and annotation of image using predictive clustering trees, Proceedings of the Abstracts of the notebook papers, CLEF 2010 Labs and Workshops, pp. 50, 2010 pdf
  • Nataša Atanasova, Gideon Gal, Mateja Škerjanec, Dragi Kocev, Sašo Džeroski, and Boris Kompare. Investigation of the control mechanisms of the food web in lake Kinneret using multi-target regression trees, Proceedings of the Ecological modelling for enhanced sustainability in management : conference ISEM 2009 pp.45, 2009 pdf
  • Marko Debeljak, Geoff R. Squire, Dragi Kocev, Cathy Hawes, Marc W. Young, and Sašo Džeroski. Analysis of time series data on the economic and ecological components of vegetation by using predictive clustering trees, Proceedings of the Ecological modelling for enhanced sustainability in management : conference ISEM 2009 pp.75, 2009 pdf
  • Darko Aleksovski, Dragi Kocev, and Sašo Džeroski. Evaluation of Distance Measures for Hierarchical Multi­Label Classification in Functional Genomics, Proceedings of the Workshop on Learning from Multi-Label Data (MLD09) held in conjunction with ECML/PKDD2009, pp.5-16, 2009 pdf
  • Andreja Naumoski, Dragi Kocev, Nataša Atanasova, Kosta Mitreski, Svetislav Krstić, and Sašo Džeroski. Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries, Proceedings of the 4th International ICSC Symposium: Part 2, Information technologies in environmental engineering Environmental science and engineering series, pp. 264-277, 2009 pdf© Springer-Verlag
  • Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska, and Sašo Džeroski. Hierchical annotation of medical images, Proceedings of the 11th International Multiconference - Information Society IS 2008, pp.174-181, 2008 pdf
  • Dragi Kocev, Ivica Slavkov, and Sašo Džeroski. More is better: ranking with multiple targets for biomarker discovery, MLSB 08, Proceedings of the 2nd International Workshop on Machine Learning in Systems Biology, 13-14 September 2008, Brussels, Belgium pdf
  • Dragi Kocev, Jan Struyf, and Sašo Džeroski. Beam Search Induction and Similarity Constraints for predictive clustering trees, Proceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases, KDID'06, Revised, Selected and Invited Papers (Dzeroski, S. and Struyf, J., eds.), LNCS vol. 4747, pp. 134-151, 2007 pdf © Springer-Verlag
  • Dragi Kocev, Celine Vens, Jan Struyf, and Sašo Džeroski. Ensembles of multi-objective decision trees, Proceedings of 18th European Conference on Machine Learning (J.N. Kok et al., eds), Warsaw, Poland, 2007, LNAI vol.4701, pp. 624-631 pdf © Springer-Verlag
  • Marko Debeljak, Aneta Ivanovska, Dragi Kocev, Sašo Džeroski, and Katja Rostohar. Application of regression models and polynomial equations to predict out-crossing rate of maize, Proceedings of the International Conference on Applied Statistics 2007, AS’07, Bled, Slovenia, 2007 pdf
  • Dragi Kocev, Sašo Džeroski, Matt D. White, Greame R. Newell, and Peter Griffioen. Ensembles of multi-objective regression trees: A case study for predicting the condition of remnant indigenous vegetation, Proceedings of the 10th International Multiconference - Information Society IS 2007, pp.210-213, 2007 pdf
  • Marko Debeljak, Bryan Griffiths, Paul Hallett, Dragi Kocev, William Towers, and Sašo Džeroski. Mapping the resilience characteristics of soil by using multi-objective regression models, The 6th European Conference on Ecological Modelling, ECEM'07, Trieste, Italy, 2007 pdf
  • Dragi Kocev, Sašo Džeroski, and Jan Struyf. Similarity constraints in beam-search induction of predictive clustering trees, Proceedings of the 9th International Multiconference - Information Society IS 2006, p. 267-270, 2006 pdf
  • Darija Gibičar, Dragi Kocev, Bernard Ženko, Milena Horvat, Sašo Džeroski, Vesna Fajon, and Barbara Mazzola. Evaluation of biomarkers of exposure and effects of mercury using machine-learning methods, EUROTOX 2006/6 CTDC Congress, Toxicology Letters, vol. 164 S1, pp. S13-S14, 2006 pdf
  • Dragi Kocev, Sašo Džeroski, Jan Struyf, and Suzana Loškovska. (Inductive) Querying environment for predictive clustering trees, Proceedings of the 2nd Balkan Conference in Informatics, pp. 193-200, 2005 pdf

Book chapters

  • Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, and Sašo Džeroski. Predicting gene function using predictive clustering trees , Inductive Databases and Constraint-Based Data Mining, p. 365-387, 2011 pdf © Springer-Verlag

Theses

  • Dragi Kocev. Ensembles for predicting structured outputs, PhD Thesis, Jozef Stefan International Postgraduate School, Ljubljana, Slovenia, 2011 pdf Supplementary
  • Dragi Kocev. Inductive querying environment for learning predictive clustering trees, (in Macedonian), Diploma Thesis, Faculty of Electrical Engineering, Skopje, Macedonia, 2005 pdf

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