Dragi Kocev

According to our database, Dragi Kocev authored at least 90 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification.

Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev

IEEE Geosci. Remote. Sens. Lett., 2024

2023

CLUSplus: A decision tree-based framework for predicting structured outputs.

Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski

SoftwareX, December, 2023

Feature ranking for semi-supervised learning.

Matej Petkovic, Saso Dzeroski, Dragi Kocev

Mach. Learn., November, 2023

AiTLAS: Artificial Intelligence Toolbox for Earth Observation.

Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev

Remote. Sens., May, 2023

Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images.

Marjan Stoimchev, Dragi Kocev, Saso Dzeroski

Remote. Sens., January, 2023

In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification.

Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev

CoRR, 2023

2022

Explaining the performance of multilabel classification methods with data set properties.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

Int. J. Intell. Syst., 2022

Comprehensive comparative study of multi-label classification methods.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

Expert Syst. Appl., 2022

FAIRification of MLC data.

Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov

CoRR, 2022

Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021.

Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj

CoRR, 2022

Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

CoRR, 2022

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification.

Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski

CoRR, 2022

AiTLAS: Artificial Intelligence Toolbox for Earth Observation.

Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev

CoRR, 2022

Explainable Model-specific Algorithm Selection for Multi-Label Classification.

Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands.

Elena Merdjanovska, Ivan Kitanovski, Ziga Kokalj, Ivica Dimitrovski, Dragi Kocev

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Semi-supervised oblique predictive clustering trees.

Tomaz Stepisnik, Dragi Kocev

PeerJ Comput. Sci., 2021

Oblique predictive clustering trees.

Tomaz Stepisnik, Dragi Kocev

Knowl. Based Syst., 2021

Ensemble- and distance-based feature ranking for unsupervised learning.

Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski

Int. J. Intell. Syst., 2021

Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland.

Stevanche Nikoloski, Dragi Kocev, Jurica Levatic, David P. Wall, Saso Dzeroski

Ecol. Informatics, 2021

Discovering outliers in the Mars Express thermal power consumption patterns.

Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev

CoRR, 2021

GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data.

Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev

CoRR, 2021

Explaining the Performance of Multi-label Classification Methods with Data Set Properties.

Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev

CoRR, 2021

A comprehensive comparison of molecular feature representations for use in predictive modeling.

Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev

Comput. Biol. Medicine, 2021

Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors.

Matej Petkovic, Ivica Slavkov, Dragi Kocev, Saso Dzeroski

Comput. Biol. Medicine, 2021

A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures.

Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev

Big Data Res., 2021

Fuzzy Jaccard Index: A robust comparison of ordered lists.

Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski

Appl. Soft Comput., 2021

2020

Error curves for evaluating the quality of feature rankings.

Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski

PeerJ Comput. Sci., 2020

Feature ranking for multi-target regression.

Matej Petkovic, Dragi Kocev, Saso Dzeroski

Mach. Learn., 2020

Multi-label feature ranking with ensemble methods.

Matej Petkovic, Saso Dzeroski, Dragi Kocev

Mach. Learn., 2020

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs.

Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik

Mach. Learn., 2020

Semi-supervised regression trees with application to QSAR modelling.

Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev

Expert Syst. Appl., 2020

Option predictive clustering trees for multi-target regression.

Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev

Comput. Sci. Inf. Syst., 2020

Multivariate Predictive Clustering Trees for Classification.

Tomaz Stepisnik, Dragi Kocev

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Hyperbolic Embeddings for Hierarchical Multi-label Classification.

Tomaz Stepisnik, Dragi Kocev

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Performance2vec: a step further in explainable stochastic optimization algorithm performance.

Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Web genre classification with methods for structured output prediction.

Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev

Inf. Sci., 2019

Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors.

Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski

IEEE Access, 2019

Feature Extraction for Heartbeat Classification in Single-Lead ECG.

Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining.

Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski

Proceedings of the Discovery Science - 22nd International Conference, 2019

Ensemble-Based Feature Ranking for Semi-supervised Classification.

Matej Petkovic, Saso Dzeroski, Dragi Kocev

Proceedings of the Discovery Science - 22nd International Conference, 2019

Mix and Rank: A Framework for Benchmarking Recommender Systems.

Bibek Paudel, Dragi Kocev, Tome Eftimov

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification.

Tome Eftimov, Dragi Kocev

Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018

Ensembles for multi-target regression with random output selections.

Martin Breskvar, Dragi Kocev, Saso Dzeroski

Mach. Learn., 2018

Semi-supervised trees for multi-target regression.

Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski

Inf. Sci., 2018

Quantitative Score for Assessing the Quality of Feature Rankings.

Ivica Slavkov, Matej Petkovic, Dragi Kocev, Saso Dzeroski

Informatica (Slovenia), 2018

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft.

Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski

CoRR, 2018

HMC-ReliefF: Feature ranking for hierarchical multi-label classification.

Ivica Slavkov, Jana Karcheska, Dragi Kocev, Saso Dzeroski

Comput. Sci. Inf. Syst., 2018

Feature Ranking with Relief for Multi-label Classification: Does Distance Matter?

Matej Petkovic, Dragi Kocev, Saso Dzeroski

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Self-training for multi-target regression with tree ensembles.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Knowl. Based Syst., 2017

Semi-supervised classification trees.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

J. Intell. Inf. Syst., 2017

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.

Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou

Data Min. Knowl. Discov., 2017

Structuring the Output Space in Multi-label Classification by Using Feature Ranking.

Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Phenotype Prediction with Semi-supervised Classification Trees.

Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Image Representation, Annotation and Retrieval with Predictive Clustering Trees.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Predictive Clustering Trees for Hierarchical Multi-Target Regression.

Vanja Mileski, Saso Dzeroski, Dragi Kocev

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Predictive Clustering of Multi-dimensional Time Series Applied to Forest Growing Stock Data for Different Tree Sizes.

Valentin Gjorgjioski, Dragi Kocev, Andrej Boncina, Saso Dzeroski, Marko Debeljak

Proceedings of the ICT Innovations 2017, 2017

Feature Ranking for Multi-target Regression with Tree Ensemble Methods.

Matej Petkovic, Saso Dzeroski, Dragi Kocev

Proceedings of the Discovery Science - 20th International Conference, 2017

Option Predictive Clustering Trees for Hierarchical Multi-label Classification.

Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev

Proceedings of the Discovery Science - 20th International Conference, 2017

Multi-label Classification Using Random Label Subset Selections.

Martin Breskvar, Dragi Kocev, Saso Dzeroski

Proceedings of the Discovery Science - 20th International Conference, 2017

Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees.

Mate Bestek, Dragi Kocev, Saso Dzeroski, Andrej Brodnik, Rade Iljaz

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

Special issue on discovery science.

Saso Dzeroski, Dragi Kocev, Pance Panov

Mach. Learn., 2016

Improving bag-of-visual-words image retrieval with predictive clustering trees.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Inf. Sci., 2016

Clustering of heartbeats from ECG recordings obtained with wireless body sensors.

Aleksandra Rashkovska, Dragi Kocev, Roman Trobec

Proceedings of the 39th International Convention on Information and Communication Technology, 2016

Option Predictive Clustering Trees for Multi-target Regression.

Aljaz Osojnik, Saso Dzeroski, Dragi Kocev

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

The importance of the label hierarchy in hierarchical multi-label classification.

Jurica Levatic, Dragi Kocev, Saso Dzeroski

J. Intell. Inf. Syst., 2015

Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling.

Aleksandra Rashkovska, Dragi Kocev, Roman Trobec

Comput. Methods Programs Biomed., 2015

Improved medical image modality classification using a combination of visual and textual features.

Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, Saso Dzeroski

Comput. Medical Imaging Graph., 2015

Semi-supervised learning for multi-target regression (Discussion paper).

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Web Genre Classification via Hierarchical Multi-label Classification.

Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Ensembles of Extremely Randomized Trees for Multi-target Regression.

Dragi Kocev, Michelangelo Ceci

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Pattern Recognit. Lett., 2014

Semi-supervised Learning for Multi-target Regression.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data.

Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Tree ensembles for predicting structured outputs.

Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski

Pattern Recognit., 2013

Habitat modeling with single- and multi-target trees and ensembles.

Dragi Kocev, Saso Dzeroski

Ecol. Informatics, 2013

ReliefF for Hierarchical Multi-label Classification.

Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance.

Jurica Levatic, Dragi Kocev, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Fast and Scalable Image Retrieval Using Predictive Clustering Trees.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

An extensive experimental comparison of methods for multi-label learning.

Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, Saso Dzeroski

Pattern Recognit., 2012

Ensembles for Predicting Structured Outputs.

Dragi Kocev

Informatica (Slovenia), 2012

Hierarchical classification of diatom images using ensembles of predictive clustering trees.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Ecol. Informatics, 2012

2011

Hierarchical annotation of medical images.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Pattern Recognit., 2011

2010

Predicting gene function using hierarchical multi-label decision tree ensembles.

Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski

BMC Bioinform., 2010

Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Proceedings of the CLEF 2010 LABs and Workshops, 2010

Predicting Gene Function using Predictive Clustering Trees.

Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries.

Andreja Naumoski, Dragi Kocev, Natasa Atanasova, Kosta Mitreski, Svetislav Krstic, Saso Dzeroski

Proceedings of the Information Technologies in Environmental Engineering, 2009

ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification.

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

2007

Ensembles of Multi-Objective Decision Trees.

Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Beam Search Induction and Similarity Constraints for Predictive Clustering Trees.

Dragi Kocev, Jan Struyf, Saso Dzeroski

Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006