Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. - Dragi Kocev; Jan Struyf; Saso Dzeroski (KDID, 2006)

Ensembles of Multi-Objective Decision Trees. - Dragi Kocev; Celine Vens; Jan Struyf; Saso Dzeroski (ECML, 2007)

ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (CLEF (2), 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 (ITEE, 2009)

Predicting Gene Function using Predictive Clustering Trees. - Celine Vens; Leander Schietgat; Jan Struyf; Hendrik Blockeel; Dragi Kocev; Saso Dzeroski (Inductive Databases and Constraint-Based Data Mining, 2010)

Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (CLEF (Notebook Papers/LABs/Workshops), 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 (ICPR Contests, 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)

Hierarchical annotation of medical images. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Pattern Recognit., 2011)

Hierarchical classification of diatom images using ensembles of predictive clustering trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Ecol. Informatics, 2012)

Ensembles for Predicting Structured Outputs. - Dragi Kocev (Informatica (Slovenia), 2012)

An extensive experimental comparison of methods for multi-label learning. - Gjorgji Madjarov; Dragi Kocev; Dejan Gjorgjevikj; Saso Dzeroski (Pattern Recognit., 2012)

Fast and Scalable Image Retrieval Using Predictive Clustering Trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Discovery Science, 2013)

The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance. - Jurica Levatic; Dragi Kocev; Saso Dzeroski (NFMCP, 2013)

ReliefF for Hierarchical Multi-label Classification. - Ivica Slavkov; Jana Karcheska; Dragi Kocev; Slobodan Kalajdziski; Saso Dzeroski (NFMCP, 2013)

Habitat modeling with single- and multi-target trees and ensembles. - Dragi Kocev; Saso Dzeroski (Ecol. Informatics, 2013)

Tree ensembles for predicting structured outputs. - Dragi Kocev; Celine Vens; Jan Struyf; Saso Dzeroski (Pattern Recognit., 2013)

Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. - Ivica Dimitrovski; Gjorgji Madjarov; Dragi Kocev; Petre Lameski (CLEF (Working Notes), 2014)

Semi-supervised Learning for Multi-target Regression. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (NFMCP, 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)

Ensembles of Extremely Randomized Trees for Multi-target Regression. - Dragi Kocev; Michelangelo Ceci (Discovery Science, 2015)

Web Genre Classification via Hierarchical Multi-label Classification. - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (IDEAL, 2015)

Semi-supervised learning for multi-target regression (Discussion paper). - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (SEBD, 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)

Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling. - Aleksandra Rashkovska; Dragi Kocev; Roman Trobec (Comput. Methods Programs Biomed., 2015)

The importance of the label hierarchy in hierarchical multi-label classification. - Jurica Levatic; Dragi Kocev; Saso Dzeroski (J. Intell. Inf. Syst., 2015)

Option Predictive Clustering Trees for Multi-target Regression. - Aljaz Osojnik; Saso Dzeroski; Dragi Kocev (DS, 2016)

Clustering of heartbeats from ECG recordings obtained with wireless body sensors. - Aleksandra Rashkovska; Dragi Kocev; Roman Trobec (MIPRO, 2016)

Improving bag-of-visual-words image retrieval with predictive clustering trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Inf. Sci., 2016)

Special issue on discovery science. - Saso Dzeroski; Dragi Kocev; Pance Panov (Mach. Learn., 2016)

Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees. - Mate Bestek; Dragi Kocev; Saso Dzeroski; Andrej Brodnik; Rade Iljaz (AIME, 2017)

Multi-label Classification Using Random Label Subset Selections. - Martin Breskvar; Dragi Kocev; Saso Dzeroski (DS, 2017)

Option Predictive Clustering Trees for Hierarchical Multi-label Classification. - Tomaz Stepisnik Perdih; Aljaz Osojnik; Saso Dzeroski; Dragi Kocev (DS, 2017)

Feature Ranking for Multi-target Regression with Tree Ensemble Methods. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (DS, 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 (ICT Innovations, 2017)

Predictive Clustering Trees for Hierarchical Multi-Target Regression. - Vanja Mileski; Saso Dzeroski; Dragi Kocev (IDA, 2017)

Image Representation, Annotation and Retrieval with Predictive Clustering Trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (ECML/PKDD (3), 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 (NFMCP@PKDD/ECML, 2017)

Structuring the Output Space in Multi-label Classification by Using Feature Ranking. - Stevanche Nikoloski; Dragi Kocev; Saso Dzeroski (NFMCP@PKDD/ECML, 2017)

Semi-supervised classification trees. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (J. Intell. Inf. Syst., 2017)

Self-training for multi-target regression with tree ensembles. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (Knowl. Based 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 (Mach. Learn., 2017)

Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? - Matej Petkovic; Dragi Kocev; Saso Dzeroski (DS, 2018)

HMC-ReliefF: Feature ranking for hierarchical multi-label classification. - Ivica Slavkov; Jana Karcheska; Dragi Kocev; Saso Dzeroski (Comput. Sci. Inf. Syst., 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)

Quantitative Score for Assessing the Quality of Feature Rankings. - Ivica Slavkov; Matej Petkovic; Dragi Kocev; Saso Dzeroski (Informatica (Slovenia), 2018)

Semi-supervised trees for multi-target regression. - Jurica Levatic; Dragi Kocev; Michelangelo Ceci; Saso Dzeroski (Inf. Sci., 2018)

Ensembles for multi-target regression with random output selections. - Martin Breskvar; Dragi Kocev; Saso Dzeroski (Mach. Learn., 2018)

Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification. - Tome Eftimov; Dragi Kocev (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Mix and Rank: A Framework for Benchmarking Recommender Systems. - Bibek Paudel; Dragi Kocev; Tome Eftimov (IEEE BigData, 2019)

Ensemble-Based Feature Ranking for Semi-supervised Classification. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (DS, 2019)

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. - Bozhidar Stevanoski; Dragi Kocev; Aljaz Osojnik; Ivica Dimitrovski; Saso Dzeroski (DS, 2019)

Feature Extraction for Heartbeat Classification in Single-Lead ECG. - Jasmin Bogatinovski; Dragi Kocev; Aleksandra Rashkovska (MIPRO, 2019)

Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors. - Stevanche Nikoloski; Dragi Kocev; Saso Dzeroski (IEEE Access, 2019)

Web genre classification with methods for structured output prediction. - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (Inf. Sci., 2019)

Performance2vec: a step further in explainable stochastic optimization algorithm performance. - Tome Eftimov; Gorjan Popovski; Dragi Kocev; Peter Korosec (GECCO Companion, 2020)

Hyperbolic Embeddings for Hierarchical Multi-label Classification. - Tomaz Stepisnik; Dragi Kocev (ISMIS, 2020)

Multivariate Predictive Clustering Trees for Classification. - Tomaz Stepisnik; Dragi Kocev (ISMIS, 2020)

Option predictive clustering trees for multi-target regression. - Tomaz Stepisnik; Aljaz Osojnik; Saso Dzeroski; Dragi Kocev (Comput. Sci. Inf. Syst., 2020)

Semi-supervised regression trees with application to QSAR modelling. - Jurica Levatic; Michelangelo Ceci; Tomaz Stepisnik; Saso Dzeroski; Dragi Kocev (Expert Syst. Appl., 2020)

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. - Dragi Kocev; Michelangelo Ceci; Tomaz Stepisnik (Mach. Learn., 2020)

Multi-label feature ranking with ensemble methods. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (Mach. Learn., 2020)

Feature ranking for multi-target regression. - Matej Petkovic; Dragi Kocev; Saso Dzeroski (Mach. Learn., 2020)

Error curves for evaluating the quality of feature rankings. - Ivica Slavkov; Matej Petkovic; Pierre Geurts; Dragi Kocev; Saso Dzeroski (PeerJ Comput. Sci., 2020)

Fuzzy Jaccard Index: A robust comparison of ordered lists. - Matej Petkovic; Blaz Skrlj; Dragi Kocev; Nikola Simidjievski (Appl. Soft Comput., 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)

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 comprehensive comparison of molecular feature representations for use in predictive modeling. - Tomaz Stepisnik; Blaz Skrlj; Jörg Wicker; Dragi Kocev (Comput. Biol. Medicine, 2021)

Explaining the Performance of Multi-label Classification Methods with Data Set Properties. - Jasmin Bogatinovski; Ljupco Todorovski; Saso Dzeroski; 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)

Discovering outliers in the Mars Express thermal power consumption patterns. - Matej Petkovic; Luke Lucas; Tomaz Stepisnik; Pance Panov; Nikola Simidjievski; Dragi Kocev (CoRR, 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)

Ensemble- and distance-based feature ranking for unsupervised learning. - Matej Petkovic; Dragi Kocev; Blaz Skrlj; Saso Dzeroski (Int. J. Intell. Syst., 2021)

Oblique predictive clustering trees. - Tomaz Stepisnik; Dragi Kocev (Knowl. Based Syst., 2021)

Semi-supervised oblique predictive clustering trees. - Tomaz Stepisnik; Dragi Kocev (PeerJ Comput. Sci., 2021)

Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands. - Elena Merdjanovska; Ivan Kitanovski; Ziga Kokalj; Ivica Dimitrovski; Dragi Kocev (IGARSS, 2022)

Explainable Model-specific Algorithm Selection for Multi-Label Classification. - Ana Kostovska; Carola Doerr; Saso Dzeroski; Dragi Kocev; Pance Panov; Tome Eftimov (SSCI, 2022)

AiTLAS: Artificial Intelligence Toolbox for Earth Observation. - Ivica Dimitrovski; Ivan Kitanovski; Pance Panov; Nikola Simidjievski; Dragi Kocev (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)

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)

FAIRification of MLC data. - Ana Kostovska; Jasmin Bogatinovski; Andrej Treven; Saso Dzeroski; Dragi Kocev; Pance Panov (CoRR, 2022)

Comprehensive comparative study of multi-label classification methods. - Jasmin Bogatinovski; Ljupco Todorovski; Saso Dzeroski; Dragi Kocev (Expert Syst. Appl., 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)

In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. - Ivica Dimitrovski; Ivan Kitanovski; Nikola Simidjievski; Dragi Kocev (CoRR, 2023)

Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images. - Marjan Stoimchev; Dragi Kocev; Saso Dzeroski (Remote. Sens., 2023)

AiTLAS: Artificial Intelligence Toolbox for Earth Observation. - Ivica Dimitrovski; Ivan Kitanovski; Pance Panov; Ana Kostovska; Nikola Simidjievski; Dragi Kocev (Remote. Sens., 2023)

Feature ranking for semi-supervised learning. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (Mach. Learn., 2023)

CLUSplus: A decision tree-based framework for predicting structured outputs. - Matej Petkovic; Jurica Levatic; Dragi Kocev; Martin Breskvar; Saso Dzeroski (SoftwareX, 2023)

Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (Int. J. Intell. Syst., 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)

Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles. - Marjan Stoimchev; Jurica Levatic; Dragi Kocev; Saso Dzeroski (IEEE Trans. Geosci. Remote. Sens., 2024)

Comprehensive Evaluation of Regression and Classification Models on Brain Stroke Datasets. - Dimitar Trajkov; Ana Kostovska; Pance Panov; Dragi Kocev (BIOSTEC (2): HEALTHINF, 2025)

SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders. - Marjan Stoimchev; Jurica Levatic; Dragi Kocev; Saso Dzeroski (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)