| 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 | 953 | 2012 |
| Tree ensembles for predicting structured outputs D Kocev, C Vens, J Struyf, S Džeroski Pattern Recognition 46 (3), 817-833, 2013 | 309 | 2013 |
| Ensembles of multi-objective decision trees D Kocev, C Vens, J Struyf, S Džeroski Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007 | 285 | 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, 1-14, 2010 | 237 | 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 | 236 | 2009 |
| Hierarchical annotation of medical images I Dimitrovski, D Kocev, S Loskovska, S Džeroski Pattern Recognition 44 (10-11), 2436-2449, 2011 | 221 | 2011 |
| COVID-19 pandemic changes the food consumption patterns T Eftimov, G Popovski, M Petković, BK Seljak, D Kocev Trends in food science & technology 104, 268-272, 2020 | 216 | 2020 |
| Comprehensive comparative study of multi-label classification methods J Bogatinovski, L Todorovski, S Džeroski, D Kocev Expert Systems with Applications 203, 117215, 2022 | 120 | 2022 |
| 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 | 109 | 2012 |
| 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 | 89 | 2015 |
| Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification I Dimitrovski, I Kitanovski, D Kocev, N Simidjievski ISPRS Journal of Photogrammetry and Remote Sensing 197, 18-35, 2023 | 77 | 2023 |
| Feature ranking for multi-target regression M Petković, D Kocev, S Džeroski Machine Learning 109, 1179-1204, 2020 | 66 | 2020 |
| 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 | 66 | 2014 |
| Combined chemical genetics and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors as host-directed antimicrobials CJ Korbee, MT Heemskerk, D Kocev, E van Strijen, O Rabiee, ... Nature communications 9 (1), 358, 2018 | 63 | 2018 |
| Self-training for multi-target regression with tree ensembles J Levatić, M Ceci, D Kocev, S Džeroski Knowledge-Based Systems 123, 41-60, 2017 | 62 | 2017 |
| Semi-supervised classification trees J Levatić, M Ceci, D Kocev, S Džeroski Journal of Intelligent Information Systems 49, 461-486, 2017 | 59 | 2017 |
| 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 | 54 | 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 | 54 | 2011 |
| The importance of the label hierarchy in hierarchical multi-label classification J Levatić, D Kocev, S Džeroski Journal of Intelligent Information Systems 45, 247-271, 2015 | 53 | 2015 |
| Semi-supervised trees for multi-target regression J Levatić, D Kocev, M Ceci, S Džeroski Information Sciences 450, 109-127, 2018 | 52 | 2018 |
