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

Semi-Supervised Learning for Quantitative Structure-Activity Modeling. - Jurica Levatic; Saso Dzeroski; Fran Supek; Tomislav Smuc (Informatica (Slovenia), 2013)

Semi-supervised Learning for Multi-target Regression. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (NFMCP, 2014)

Semi-supervised learning for multi-target regression (Discussion paper). - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (SEBD, 2015)

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

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)

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)

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)

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

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

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)

Semi-supervised learning for structured output prediction. - Jurica Levatic (Informatica (Slovenia), 2022)

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)

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)

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)