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)

Comprehensive Evaluation of Regression and Classification Models on Brain Stroke Datasets - Dimitar Trajkov; Ana Kostovska; Pance Panov; Dragi Kocev (Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2025 - Volume 2: HEALTHINF, Porto, Portugal, February 20-22, 2025, 2025)

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)

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

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

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)

Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands - Elena Merdjanovska; Ivan Kitanovski; Ziga Kokalj; Ivica Dimitrovski; Dragi Kocev (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022, 2022)

Explainable Model-specific Algorithm Selection for Multi-Label Classification - Ana Kostovska; Carola Doerr; Saso Dzeroski; Dragi Kocev; Pance Panov; Tome Eftimov (IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022, 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)

Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (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)

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

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

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)

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)

Comprehensive Comparative Study of Multi-Label Classification Methods - Jasmin Bogatinovski; Ljupco Todorovski; Saso Dzeroski; 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)

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)

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)

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)

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

Performance2vec: a step further in explainable stochastic optimization algorithm performance - Tome Eftimov; Gorjan Popovski; Dragi Kocev; Peter Korosec (GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020, 2020)

Hyperbolic Embeddings for Hierarchical Multi-label Classification - Tomaz Stepisnik; Dragi Kocev (Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Graz, Austria, September 23-25, 2020, Proceedings, 2020)

Multivariate Predictive Clustering Trees for Classification - Tomaz Stepisnik; Dragi Kocev (Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Graz, Austria, September 23-25, 2020, Proceedings, 2020)

Oblique Predictive Clustering Trees - Tomaz Stepisnik; Dragi Kocev (CoRR, 2020)

Fuzzy Jaccard Index: A robust comparison of ordered lists - Matej Petkovic; Blaz Skrlj; Dragi Kocev; Nikola Simidjievski (CoRR, 2020)

Feature Ranking for Semi-supervised Learning - Matej Petkovic; Saso Dzeroski; Dragi Kocev (CoRR, 2020)

Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning - Matej Petkovic; Dragi Kocev; Blaz Skrlj; Saso Dzeroski (CoRR, 2020)

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)

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, Palo Alto, California, USA, March 25-27, 2019., Stanford University, Palo Alto, California, USA, March 25-27, 2019, 2019)

Mix and Rank: A Framework for Benchmarking Recommender Systems - Bibek Paudel; Dragi Kocev; Tome Eftimov (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining - Bozhidar Stevanoski; Dragi Kocev; Aljaz Osojnik; Ivica Dimitrovski; Saso Dzeroski (Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings, 2019)

Ensemble-Based Feature Ranking for Semi-supervised Classification - Matej Petkovic; Saso Dzeroski; Dragi Kocev (Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings, 2019)

Feature Extraction for Heartbeat Classification in Single-Lead ECG - Jasmin Bogatinovski; Dragi Kocev; Aleksandra Rashkovska (42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019, Opatija, Croatia, May 20-24, 2019, 2019)

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

Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? - Matej Petkovic; Dragi Kocev; Saso Dzeroski (Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings, 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)

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)

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)

Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees - Mate Bestek; Dragi Kocev; Saso Dzeroski; Andrej Brodnik; Rade Iljaz (Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings, 2017)

Multi-label Classification Using Random Label Subset Selections - Martin Breskvar; Dragi Kocev; Saso Dzeroski (Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings, 2017)

Option Predictive Clustering Trees for Hierarchical Multi-label Classification - Tomaz Stepisnik Perdih; Aljaz Osojnik; Saso Dzeroski; Dragi Kocev (Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings, 2017)

Feature Ranking for Multi-target Regression with Tree Ensemble Methods - Matej Petkovic; Saso Dzeroski; Dragi Kocev (Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings, 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 - Data-Driven Innovation. 9th International Conference, ICT Innovations 2017, Skopje, Macedonia, September 18-23, 2017, Proceedings, 2017)

Predictive Clustering Trees for Hierarchical Multi-Target Regression - Vanja Mileski; Saso Dzeroski; Dragi Kocev (Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings, 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 (New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers, 2017)

Structuring the Output Space in Multi-label Classification by Using Feature Ranking - Stevanche Nikoloski; Dragi Kocev; Saso Dzeroski (New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers, 2017)

Image Representation, Annotation and Retrieval with Predictive Clustering Trees - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III, 2017)

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)

Option Predictive Clustering Trees for Multi-target Regression - Aljaz Osojnik; Saso Dzeroski; Dragi Kocev (Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings, 2016)

Clustering of heartbeats from ECG recordings obtained with wireless body sensors - Aleksandra Rashkovska; Dragi Kocev; Roman Trobec (39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016, Opatija, Croatia, May 30 - June 3, 2016, 2016)

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)

Ensembles of Extremely Randomized Trees for Multi-target Regression - Dragi Kocev; Michelangelo Ceci (Discovery Science - 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings, 2015)

Web Genre Classification via Hierarchical Multi-label Classification - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference Wroclaw, Poland, October 14-16, 2015, Proceedings, 2015)

Semi-supervised learning for multi-target regression (Discussion paper) - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (23rd Italian Symposium on Advanced Database Systems, SEBD 2015, Gaeta, Italy, June 14-17, 2015, 2015)

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)

Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data - Ivica Dimitrovski; Gjorgji Madjarov; Dragi Kocev; Petre Lameski (Working Notes for CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014, 2014)

Semi-supervised Learning for Multi-target Regression - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers, 2014)

Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings - Saso Dzeroski; Pance Panov; Dragi Kocev; Ljupco Todorovski (Springer, 2014)

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)

Fast and Scalable Image Retrieval Using Predictive Clustering Trees - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Discovery Science - 16th International Conference, DS 2013, Singapore, October 6-9, 2013. Proceedings, 2013)

ReliefF for Hierarchical Multi-label Classification - Ivica Slavkov; Jana Karcheska; Dragi Kocev; Slobodan Kalajdziski; Saso Dzeroski (New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers, 2013)

The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance - Jurica Levatic; Dragi Kocev; Saso Dzeroski (New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers, 2013)

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)

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

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 Predictive Clustering Trees - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (CLEF 2010 LABs and Workshops, Notebook Papers, 22-23 September 2010, Padua, Italy, 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 (Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests, Istanbul, Turkey, August 23-26, 2010, Contest Reports, 2010)

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)

ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Multilingual Information Access Evaluation II. Multimedia Experiments - 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers, 2009)

ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30 - October 2, 2009, 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 (Information Technologies in Environmental Engineering, Proceedings of the 4th International ICSC Symposium, ITEE 2009, Thessaloniki, Greece, May 28-29, 2009, 2009)

Ensembles of Multi-Objective Decision Trees - Dragi Kocev; Celine Vens; Jan Struyf; Saso Dzeroski (Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings, 2007)

Beam Search Induction and Similarity Constraints for Predictive Clustering Trees - Dragi Kocev; Jan Struyf; Saso Dzeroski (Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers, 2006)