Dragi Kocev - RankMe

105 papers B 12C 4Journal 65Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification. CoRR Marjan Stoimchev, Boshko Koloski, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2026	J	`jnl`	MAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classification. CoRR Boshko Koloski, Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2025	—	`conf`	Comprehensive Evaluation of Regression and Classification Models on Brain Stroke Datasets. BIOSTEC (2): HEALTHINF Dimitar Trajkov, Ana Kostovska, Pance Panov, Dragi Kocev
2025	J	`jnl`	SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2024	J	`jnl`	In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
2024	J	`jnl`	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. Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2024	J	`jnl`	Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2023	J	`jnl`	AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev
2023	J	`jnl`	CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski
2023	J	`jnl`	Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images. Remote. Sens. Marjan Stoimchev, Dragi Kocev, Saso Dzeroski
2023	J	`jnl`	Feature ranking for semi-supervised learning. Mach. Learn. Matej Petkovic, Saso Dzeroski, Dragi Kocev
2023	J	`jnl`	In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. CoRR Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
2022	J	`jnl`	AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev
2022	J	`jnl`	Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2022	C	`conf`	Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands. IGARSS Elena Merdjanovska, Ivan Kitanovski, Ziga Kokalj, Ivica Dimitrovski, Dragi Kocev
2022	J	`jnl`	Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification. CoRR Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski
2022	J	`jnl`	Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. CoRR Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj
2022	—	`conf`	Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022	J	`jnl`	Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022	J	`jnl`	Explaining the performance of multilabel classification methods with data set properties. Int. J. Intell. Syst. Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2022	J	`jnl`	FAIRification of MLC data. CoRR Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
2022	J	`jnl`	Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2021	J	`jnl`	A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. Big Data Res. Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev
2021	J	`jnl`	A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev
2021	J	`jnl`	Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. Comput. Biol. Medicine Matej Petkovic, Ivica Slavkov, Dragi Kocev, Saso Dzeroski
2021	J	`jnl`	Comprehensive Comparative Study of Multi-Label Classification Methods. CoRR Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2021	J	`jnl`	Discovering outliers in the Mars Express thermal power consumption patterns. CoRR Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
2021	J	`jnl`	Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
2021	J	`jnl`	Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2021	J	`jnl`	Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland. Ecol. Informatics Stevanche Nikoloski, Dragi Kocev, Jurica Levatic, David P. Wall, Saso Dzeroski
2021	J	`jnl`	Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
2021	J	`jnl`	GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
2021	J	`jnl`	Oblique predictive clustering trees. Knowl. Based Syst. Tomaz Stepisnik, Dragi Kocev
2021	J	`jnl`	Semi-supervised oblique predictive clustering trees. PeerJ Comput. Sci. Tomaz Stepisnik, Dragi Kocev
2020	J	`jnl`	Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
2020	J	`jnl`	Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik
2020	J	`jnl`	Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski
2020	J	`jnl`	Feature Ranking for Semi-supervised Learning. CoRR Matej Petkovic, Saso Dzeroski, Dragi Kocev
2020	J	`jnl`	Feature ranking for multi-target regression. Mach. Learn. Matej Petkovic, Dragi Kocev, Saso Dzeroski
2020	J	`jnl`	Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
2020	C	`conf`	Hyperbolic Embeddings for Hierarchical Multi-label Classification. ISMIS Tomaz Stepisnik, Dragi Kocev
2020	J	`jnl`	Multi-label feature ranking with ensemble methods. Mach. Learn. Matej Petkovic, Saso Dzeroski, Dragi Kocev
2020	C	`conf`	Multivariate Predictive Clustering Trees for Classification. ISMIS Tomaz Stepisnik, Dragi Kocev
2020	J	`jnl`	Oblique Predictive Clustering Trees. CoRR Tomaz Stepisnik, Dragi Kocev
2020	J	`jnl`	Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2020	—	`conf`	Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec
2020	J	`jnl`	Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
2019	J	`jnl`	Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors. IEEE Access Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
2019	B	`conf`	Ensemble-Based Feature Ranking for Semi-supervised Classification. DS Matej Petkovic, Saso Dzeroski, Dragi Kocev
2019	—	`conf`	Feature Extraction for Heartbeat Classification in Single-Lead ECG. MIPRO Jasmin Bogatinovski, Dragi Kocev, Aleksandra Rashkovska
2019	—	`conf`	Mix and Rank: A Framework for Benchmarking Recommender Systems. IEEE BigData Bibek Paudel, Dragi Kocev, Tome Eftimov
2019	—	`conf`	Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Tome Eftimov, Dragi Kocev
2019	B	`conf`	Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. DS Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski
2019	J	`jnl`	Web genre classification with methods for structured output prediction. Inf. Sci. Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev
2018	J	`jnl`	Ensembles for multi-target regression with random output selections. Mach. Learn. Martin Breskvar, Dragi Kocev, Saso Dzeroski
2018	B	`conf`	Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? DS Matej Petkovic, Dragi Kocev, Saso Dzeroski
2018	J	`jnl`	HMC-ReliefF: Feature ranking for hierarchical multi-label classification. Comput. Sci. Inf. Syst. Ivica Slavkov, Jana Karcheska, Dragi Kocev, Saso Dzeroski
2018	J	`jnl`	Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski
2018	J	`jnl`	Quantitative Score for Assessing the Quality of Feature Rankings. Informatica (Slovenia) Ivica Slavkov, Matej Petkovic, Dragi Kocev, Saso Dzeroski
2018	J	`jnl`	Semi-supervised trees for multi-target regression. Inf. Sci. Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
2017	B	`conf`	Feature Ranking for Multi-target Regression with Tree Ensemble Methods. DS Matej Petkovic, Saso Dzeroski, Dragi Kocev
2017	—	`conf`	Image Representation, Annotation and Retrieval with Predictive Clustering Trees. ECML/PKDD (3) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2017	J	`jnl`	Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Min. Knowl. Discov. Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
2017	J	`jnl`	Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Mach. Learn. Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
2017	B	`conf`	Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees. AIME Mate Bestek, Dragi Kocev, Saso Dzeroski, Andrej Brodnik, Rade Iljaz
2017	B	`conf`	Multi-label Classification Using Random Label Subset Selections. DS Martin Breskvar, Dragi Kocev, Saso Dzeroski
2017	B	`conf`	Option Predictive Clustering Trees for Hierarchical Multi-label Classification. DS Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2017	—	`conf`	Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski
2017	B	`conf`	Predictive Clustering Trees for Hierarchical Multi-Target Regression. IDA Vanja Mileski, Saso Dzeroski, Dragi Kocev
2017	—	`conf`	Predictive Clustering of Multi-dimensional Time Series Applied to Forest Growing Stock Data for Different Tree Sizes. ICT Innovations Valentin Gjorgjioski, Dragi Kocev, Andrej Boncina, Saso Dzeroski, Marko Debeljak
2017	J	`jnl`	Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2017	J	`jnl`	Semi-supervised classification trees. J. Intell. Inf. Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2017	—	`conf`	Structuring the Output Space in Multi-label Classification by Using Feature Ranking. NFMCP@PKDD/ECML Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
2016	—	`conf`	Clustering of heartbeats from ECG recordings obtained with wireless body sensors. MIPRO Aleksandra Rashkovska, Dragi Kocev, Roman Trobec
2016	J	`jnl`	Improving bag-of-visual-words image retrieval with predictive clustering trees. Inf. Sci. Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2016	B	`conf`	Option Predictive Clustering Trees for Multi-target Regression. DS Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2016	J	`jnl`	Special issue on discovery science. Mach. Learn. Saso Dzeroski, Dragi Kocev, Pance Panov
2015	B	`conf`	Ensembles of Extremely Randomized Trees for Multi-target Regression. Discovery Science Dragi Kocev, Michelangelo Ceci
2015	J	`jnl`	Improved medical image modality classification using a combination of visual and textual features. Comput. Medical Imaging Graph. Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, Saso Dzeroski
2015	J	`jnl`	Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling. Comput. Methods Programs Biomed. Aleksandra Rashkovska, Dragi Kocev, Roman Trobec
2015	—	`conf`	Semi-supervised learning for multi-target regression (Discussion paper). SEBD Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2015	J	`jnl`	The importance of the label hierarchy in hierarchical multi-label classification. J. Intell. Inf. Syst. Jurica Levatic, Dragi Kocev, Saso Dzeroski
2015	C	`conf`	Web Genre Classification via Hierarchical Multi-label Classification. IDEAL Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev
2014	B	`ed.`	Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings Discovery Science Saso Dzeroski, Pance Panov, Dragi Kocev, Ljupco Todorovski
2014	J	`jnl`	Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees. Pattern Recognit. Lett. Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2014	—	`conf`	Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. CLEF (Working Notes) Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski
2014	—	`conf`	Semi-supervised Learning for Multi-target Regression. NFMCP Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2013	B	`conf`	Fast and Scalable Image Retrieval Using Predictive Clustering Trees. Discovery Science Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2013	J	`jnl`	Habitat modeling with single- and multi-target trees and ensembles. Ecol. Informatics Dragi Kocev, Saso Dzeroski
2013	—	`conf`	ReliefF for Hierarchical Multi-label Classification. NFMCP Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, Saso Dzeroski
2013	—	`conf`	The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance. NFMCP Jurica Levatic, Dragi Kocev, Saso Dzeroski
2013	J	`jnl`	Tree ensembles for predicting structured outputs. Pattern Recognit. Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
2012	J	`jnl`	An extensive experimental comparison of methods for multi-label learning. Pattern Recognit. Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, Saso Dzeroski
2012	J	`jnl`	Ensembles for Predicting Structured Outputs. Informatica (Slovenia) Dragi Kocev
2012	J	`jnl`	Hierarchical classification of diatom images using ensembles of predictive clustering trees. Ecol. Informatics Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2011	J	`jnl`	Hierarchical annotation of medical images. Pattern Recognit. Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2010	—	`conf`	Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. ICPR Contests Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2010	—	`conf`	Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. CLEF (Notebook Papers/LABs/Workshops) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2010	—	`ch.`	Predicting Gene Function using Predictive Clustering Trees. Inductive Databases and Constraint-Based Data Mining Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010	J	`jnl`	Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinform. Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2009	—	`conf`	ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (2) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2009	—	`conf`	ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (Working Notes) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2009	—	`conf`	Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries. ITEE Andreja Naumoski, Dragi Kocev, Natasa Atanasova, Kosta Mitreski, Svetislav Krstic, Saso Dzeroski
2007	—	`conf`	Ensembles of Multi-Objective Decision Trees. ECML Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
2006	—	`conf`	Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. KDID Dragi Kocev, Jan Struyf, Saso Dzeroski