Jurica Levatic

According to our database, Jurica Levatic authored at least 24 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classification.

Boshko Koloski, Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski

CoRR, March, 2026

HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification.

Marjan Stoimchev, Boshko Koloski, Jurica Levatic, Dragi Kocev, Saso Dzeroski

CoRR, March, 2026

Fully- and semi-supervised hierarchical multi-label image classification with graph learning.

Marjan Stoimchev, Boshko Koloski, Jurica Levatic, Dragi Kocev, Saso Dzeroski

Inf. Sci., 2026

2025

Semi-supervised learning from tabular data with autoencoders: when does it work?

Sintija Stevanoska, Jurica Levatic, Saso Dzeroski

Mach. Learn., November, 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

Understanding the Success of Semi-supervised Learning: A Case Study of Mitotic Phase Classification Using Raman Imaging.

Jurica Levatic, Marjan Stoimchev, Csaba Vörös, David Bauer, Péter Horváth, Saso Dzeroski

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

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

Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Int. J. Intell. Syst., 2024

Hierarchical Multi-label Classification of Land Use/Land Cover in Remote Sensing Images.

Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Dimensionality Reduction for Efficient Semi-supervised Learning from Remote Sensing Images.

Sintija Stevanoska, Marjan Stoimchev, Jurica Levatic, Saso Dzeroski

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

CLUSplus: A decision tree-based framework for predicting structured outputs.

Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski

SoftwareX, December, 2023

2022

Semi-supervised learning for structured output prediction.

Jurica Levatic

Informatica (Slovenia), 2022

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

2020

Semi-supervised regression trees with application to QSAR modelling.

Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev

Expert Syst. Appl., 2020

2018

Semi-supervised trees for multi-target regression.

Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski

Inf. Sci., 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

2017

Self-training for multi-target regression with tree ensembles.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Knowl. Based Syst., 2017

Semi-supervised classification trees.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

J. Intell. Inf. Syst., 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

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

2015

The importance of the label hierarchy in hierarchical multi-label classification.

Jurica Levatic, Dragi Kocev, Saso Dzeroski

J. Intell. Inf. Syst., 2015

Semi-supervised learning for multi-target regression (Discussion paper).

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

2014

Semi-supervised Learning for Multi-target Regression.

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

2013

Semi-Supervised Learning for Quantitative Structure-Activity Modeling.

Jurica Levatic, Saso Dzeroski, Fran Supek, Tomislav Smuc

Informatica (Slovenia), 2013

The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance.

Jurica Levatic, Dragi Kocev, Saso Dzeroski

Proceedings of the New Frontiers in Mining Complex Patterns, 2013