Jurica Levatic

22 papers B 1Journal 17Unranked 4
YearRankTypeTitle / 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 B ed.
Discovery Science - 28th International Conference, DS 2025, Ljubljana, Slovenia, September 23-25, 2025, Proceedings
DS
Saso Dzeroski, Jurica Levatic, Gianvito Pio, Nikola Simidjievski
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
2025 J jnl
Semi-supervised learning from tabular data with autoencoders: when does it work?
Mach. Learn.
Sintija Stevanoska, Jurica Levatic, Saso Dzeroski
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
CLUSplus: A decision tree-based framework for predicting structured outputs.
SoftwareX
Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski
2022 J jnl
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification.
CoRR
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2022 J jnl
Semi-supervised learning for structured output prediction.
Informatica (Slovenia)
Jurica Levatic
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
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
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
Semi-supervised trees for multi-target regression.
Inf. Sci.
Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
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 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
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
2014 — conf
Semi-supervised Learning for Multi-target Regression.
NFMCP
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2013 J jnl
Semi-Supervised Learning for Quantitative Structure-Activity Modeling.
Informatica (Slovenia)
Jurica Levatic, Saso Dzeroski, Fran Supek, Tomislav Smuc
2013 — conf
The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance.
NFMCP
Jurica Levatic, Dragi Kocev, Saso Dzeroski