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Dragi Kocev
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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
8282012
Tree ensembles for predicting structured outputs
D Kocev, C Vens, J Struyf, S Džeroski
Pattern Recognition 46 (3), 817-833, 2013
2542013
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
2412007
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
2112010
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
1882009
Hierarchical annotation of medical images
I Dimitrovski, D Kocev, S Loskovska, S Džeroski
Pattern Recognition 44 (10-11), 2436-2449, 2011
1712011
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
1192020
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
902012
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
802015
Self-training for multi-target regression with tree ensembles
J Levatić, M Ceci, D Kocev, S Džeroski
Knowledge-Based Systems 123, 41-60, 2017
522017
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
522014
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
512011
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
512011
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
482016
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
482015
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
452010
Feature ranking for multi-target regression
M Petković, D Kocev, S Džeroski
Machine Learning 109, 1179-1204, 2020
442020
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
422018
Semi-supervised classification trees
J Levatić, M Ceci, D Kocev, S Džeroski
Journal of Intelligent Information Systems 49, 461-486, 2017
412017
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
382016
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Articles 1–20