| An extensive experimental comparison of methods for multi-label learning G Madjarov, D Kocev, D Gjorgjevikj, S Džeroski Pattern Recognition 45 (9), 3084-3104, 2012 | 639 | 2012 |
| Tree ensembles for predicting structured outputs D Kocev, C Vens, J Struyf, S Džeroski Pattern Recognition 46 (3), 817-833, 2013 | 209 | 2013 |
| Ensembles of multi-objective decision trees D Kocev, C Vens, J Struyf, S Džeroski European Conference on Machine Learning, 624-631, 2007 | 186 | 2007 |
| Predicting gene function using hierarchical multi-label decision tree ensembles L Schietgat, C Vens, J Struyf, H Blockeel, D Kocev, S Džeroski BMC bioinformatics 11 (1), 2, 2010 | 177 | 2010 |
| Using single-and multi-target regression trees and ensembles to model a compound index of vegetation condition D Kocev, S Džeroski, MD White, GR Newell, P Griffioen Ecological Modelling 220 (8), 1159-1168, 2009 | 140 | 2009 |
| Hierarchical annotation of medical images I Dimitrovski, D Kocev, S Loskovska, S Džeroski Pattern Recognition 44 (10-11), 2436-2449, 2011 | 130 | 2011 |
| Improved medical image modality classification using a combination of visual and textual features I Dimitrovski, D Kocev, I Kitanovski, S Loskovska, S Džeroski Computerized Medical Imaging and Graphics 39, 14-26, 2015 | 69 | 2015 |
| Hierarchical classification of diatom images using ensembles of predictive clustering trees I Dimitrovski, D Kocev, S Loskovska, S Džeroski Ecological Informatics 7 (1), 19-29, 2012 | 66 | 2012 |
| Learning habitat models for the diatom community in Lake Prespa D Kocev, A Naumoski, K Mitreski, S Krstić, S Džeroski Ecological Modelling 221 (2), 330-337, 2010 | 41 | 2010 |
| Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools RP Keller, D Kocev, S Džeroski Diversity and Distributions 17 (3), 451-461, 2011 | 40 | 2011 |
| Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools RP Keller, D Kocev, S Džeroski Diversity and Distributions 17 (3), 451-461, 2011 | 40 | 2011 |
| The importance of the label hierarchy in hierarchical multi-label classification J Levatić, D Kocev, S Džeroski Journal of Intelligent Information Systems 45 (2), 247-271, 2015 | 36 | 2015 |
| Improving bag-of-visual-words image retrieval with predictive clustering trees I Dimitrovski, D Kocev, S Loskovska, S Džeroski Information Sciences 329, 851-865, 2016 | 34 | 2016 |
| Self-training for multi-target regression with tree ensembles J Levatić, M Ceci, D Kocev, S Džeroski Knowledge-Based Systems 123, 41-60, 2017 | 31 | 2017 |
| Chaophilic or chaotolerant fungi: a new category of extremophiles? J Zajc, S Džeroski, D Kocev, A Oren, S Sonjak, R Tkavc, ... Frontiers in microbiology 5, 708, 2014 | 25 | 2014 |
| Semi-supervised classification trees J Levatić, M Ceci, D Kocev, S Džeroski Journal of Intelligent Information Systems 49 (3), 461-486, 2017 | 23 | 2017 |
| ReliefF for Hierarchical Multi-label Classification I Slavkov, J Karcheska, D Kocev, S Kalajdziski, S Džeroski New Frontiers in Mining Complex Patterns, 148-161, 2014 | 23 | 2014 |
| Extending ReliefF for Hierarchical Multi-label Classification⋆ I Slavkov, J Karcheska, D Kocev, S Kalajdziski, S Dzeroski machine learning 4, 13, 2013 | 23* | 2013 |
| Semi-supervised trees for multi-target regression J Levatić, D Kocev, M Ceci, S Džeroski Information Sciences 450, 109-127, 2018 | 22 | 2018 |
| Production of Secondary Metabolites in Extreme Environments: Food- and Airborne Wallemia spp. Produce Toxic Metabolites at Hypersaline Conditions S Jančič, JC Frisvad, D Kocev, C Gostinčar, S Džeroski, ... PLoS One 11 (12), e0169116, 2016 | 22 | 2016 |
