Dragi Kocev

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 73

Top Topics

Feature Ranking

Predictive Clustering Trees

Structured Output

Top Venues

Int. J. Intell. Syst.

Publications

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. 2024 (2024)
Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature ranking for semi-supervised learning. Mach. Learn. 112 (11) (2023)
Marjan Stoimchev, Dragi Kocev, Saso Dzeroski
Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images. Remote. Sens. 15 (2) (2023)
Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski
CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX 24 (2023)
Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. CoRR (2023)
Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15 (9) (2023)
Elena Merdjanovska, Ivan Kitanovski, Ziga Kokalj, Ivica Dimitrovski, Dragi Kocev
Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands. IGARSS (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR (2022)
Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification. CoRR (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Explaining the performance of multilabel classification methods with data set properties. Int. J. Intell. Syst. 37 (9) (2022)
Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. CoRR (2022)
Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. 203 (2022)
Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
FAIRification of MLC data. CoRR (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI (2022)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR (2021)
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martinez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR (2021)
Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. 113 (Part) (2021)
Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR (2021)
Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. 36 (7) (2021)
Tomaz Stepisnik, Dragi Kocev
Oblique predictive clustering trees. Knowl. Based Syst. 227 (2021)
Matej Petkovic, Ivica Slavkov, Dragi Kocev, Saso Dzeroski
Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. Comput. Biol. Medicine 128 (2021)
Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. Big Data Res. 25 (2021)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Comprehensive Comparative Study of Multi-Label Classification Methods. CoRR (2021)
Stevanche Nikoloski, Dragi Kocev, Jurica Levatic, David P. Wall, Saso Dzeroski
Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland. Ecol. Informatics 61 (2021)
Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev
A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine 130 (2021)
Tomaz Stepisnik, Dragi Kocev
Semi-supervised oblique predictive clustering trees. PeerJ Comput. Sci. 7 (2021)
Matej Petkovic, Dragi Kocev, Saso Dzeroski
Feature ranking for multi-target regression. Mach. Learn. 109 (6) (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature Ranking for Semi-supervised Learning. CoRR (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Multi-label feature ranking with ensemble methods. Mach. Learn. 109 (11) (2020)
Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski
Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. 6 (2020)
Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109 (11) (2020)
Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec
Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion (2020)
Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR (2020)
Tomaz Stepisnik, Dragi Kocev
Multivariate Predictive Clustering Trees for Classification. ISMIS (2020)
Tomaz Stepisnik, Dragi Kocev
Hyperbolic Embeddings for Hierarchical Multi-label Classification. ISMIS (2020)
Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. 17 (2) (2020)
Tomaz Stepisnik, Dragi Kocev
Oblique Predictive Clustering Trees. CoRR (2020)
Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158 (2020)
Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR (2020)
Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors. IEEE Access 7 (2019)
Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. DS (2019)
Tome Eftimov, Dragi Kocev
Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2019)
Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev
Web genre classification with methods for structured output prediction. Inf. Sci. 503 (2019)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Ensemble-Based Feature Ranking for Semi-supervised Classification. DS (2019)
Bibek Paudel, Dragi Kocev, Tome Eftimov
Mix and Rank: A Framework for Benchmarking Recommender Systems. IEEE BigData (2019)
Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska
Feature Extraction for Heartbeat Classification in Single-Lead ECG. MIPRO (2019)
Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
Semi-supervised trees for multi-target regression. Inf. Sci. 450 (2018)
Matej Petkovic, Dragi Kocev, Saso Dzeroski
Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? DS (2018)
Martin Breskvar, Dragi Kocev, Saso Dzeroski
Ensembles for multi-target regression with random output selections. Mach. Learn. 107 (11) (2018)
Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR (2018)
Ivica Slavkov, Jana Karcheska, Dragi Kocev, Saso Dzeroski
HMC-ReliefF: Feature ranking for hierarchical multi-label classification. Comput. Sci. Inf. Syst. 15 (1) (2018)
Ivica Slavkov, Matej Petkovic, Dragi Kocev, Saso Dzeroski
Quantitative Score for Assessing the Quality of Feature Rankings. Informatica (Slovenia) 42 (1) (2018)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature Ranking for Multi-target Regression with Tree Ensemble Methods. DS (2017)
Vanja Mileski, Saso Dzeroski, Dragi Kocev
Predictive Clustering Trees for Hierarchical Multi-Target Regression. IDA (2017)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Image Representation, Annotation and Retrieval with Predictive Clustering Trees. ECML/PKDD (3) (2017)
Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski
Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML (2017)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. 123 (2017)
Martin Breskvar, Dragi Kocev, Saso Dzeroski
Multi-label Classification Using Random Label Subset Selections. DS (2017)
Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
Option Predictive Clustering Trees for Hierarchical Multi-label Classification. DS (2017)
Mate Bestek, Dragi Kocev, Saso Dzeroski, Andrej Brodnik, Rade Iljaz
Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees. AIME (2017)
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Mach. Learn. 106 (9-10) (2017)
Valentin Gjorgjioski, Dragi Kocev, Andrej Boncina, Saso Dzeroski, Marko Debeljak
Predictive Clustering of Multi-dimensional Time Series Applied to Forest Growing Stock Data for Different Tree Sizes. ICT Innovations (2017)
Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
Structuring the Output Space in Multi-label Classification by Using Feature Ranking. NFMCP@PKDD/ECML (2017)
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Min. Knowl. Discov. 31 (5) (2017)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised classification trees. J. Intell. Inf. Syst. 49 (3) (2017)
Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
Option Predictive Clustering Trees for Multi-target Regression. DS (2016)
Aleksandra Rashkovska, Dragi Kocev, Roman Trobec
Clustering of heartbeats from ECG recordings obtained with wireless body sensors. MIPRO (2016)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Improving bag-of-visual-words image retrieval with predictive clustering trees. Inf. Sci. 329 (2016)
Saso Dzeroski, Dragi Kocev, Pance Panov
Special issue on discovery science. Mach. Learn. 105 (1) (2016)
Dragi Kocev, Michelangelo Ceci
Ensembles of Extremely Randomized Trees for Multi-target Regression. Discovery Science (2015)
Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev
Web Genre Classification via Hierarchical Multi-label Classification. IDEAL (2015)
Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, Saso Dzeroski
Improved medical image modality classification using a combination of visual and textual features. Comput. Medical Imaging Graph. 39 (2015)
Aleksandra Rashkovska, Dragi Kocev, Roman Trobec
Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling. Comput. Methods Programs Biomed. 122 (2) (2015)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised learning for multi-target regression (Discussion paper). SEBD (2015)
Jurica Levatic, Dragi Kocev, Saso Dzeroski
The importance of the label hierarchy in hierarchical multi-label classification. J. Intell. Inf. Syst. 45 (2) (2015)
Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski
Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. CLEF (Working Notes) (2014)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees. Pattern Recognit. Lett. 38 (2014)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised Learning for Multi-target Regression. NFMCP (2014)
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
Tree ensembles for predicting structured outputs. Pattern Recognit. 46 (3) (2013)
Dragi Kocev, Saso Dzeroski
Habitat modeling with single- and multi-target trees and ensembles. Ecol. Informatics 18 (2013)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Fast and Scalable Image Retrieval Using Predictive Clustering Trees. Discovery Science (2013)
Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, Saso Dzeroski
ReliefF for Hierarchical Multi-label Classification. NFMCP (2013)
Jurica Levatic, Dragi Kocev, Saso Dzeroski
The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance. NFMCP (2013)
Dragi Kocev
Ensembles for Predicting Structured Outputs. Informatica (Slovenia) 36 (1) (2012)
Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, Saso Dzeroski
An extensive experimental comparison of methods for multi-label learning. Pattern Recognit. 45 (9) (2012)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Hierarchical classification of diatom images using ensembles of predictive clustering trees. Ecol. Informatics 7 (1) (2012)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Hierarchical annotation of medical images. Pattern Recognit. 44 (10-11) (2011)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. CLEF (Notebook Papers/LABs/Workshops) (2010)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. ICPR Contests (2010)
Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinform. 11 (2010)
Andreja Naumoski, Dragi Kocev, Natasa Atanasova, Kosta Mitreski, Svetislav Krstic, Saso Dzeroski
Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries. ITEE (2009)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (Working Notes) (2009)
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (2) (2009)
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
Ensembles of Multi-Objective Decision Trees. ECML (2007)
Dragi Kocev, Jan Struyf, Saso Dzeroski
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. KDID (2006)