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2020 – today
- 2024
[j11]Jurica Levatic
, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. 2024: 1-21 (2024)- [j10]Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski:
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. 62: 1-16 (2024) - 2023
- [j9]Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski:
CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX 24: 101526 (2023) - 2022
- [j8]Jurica Levatic:
Semi-supervised learning for structured output prediction. Informatica (Slovenia) 46(4) (2022) - [i2]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR abs/2207.09237 (2022) - 2021
- [j7]Stevanche Nikoloski, Dragi Kocev, Jurica Levatic, David P. Wall, Saso Dzeroski:
Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland. Ecol. Informatics 61: 101161 (2021) - 2020
- [j6]Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev:
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158: 113569 (2020)
2010 – 2019
- 2018
- [j5]Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski:
Semi-supervised trees for multi-target regression. Inf. Sci. 450: 109-127 (2018) - [i1]Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski:
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR abs/1809.00542 (2018) - 2017
- [j4]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised classification trees. J. Intell. Inf. Syst. 49(3): 461-486 (2017) - [j3]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. 123: 41-60 (2017) - [c4]Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski:
Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML 2017: 138-150 - 2015
- [j2]Jurica Levatic, Dragi Kocev, Saso Dzeroski:
The importance of the label hierarchy in hierarchical multi-label classification. J. Intell. Inf. Syst. 45(2): 247-271 (2015) - [c3]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised learning for multi-target regression (Discussion paper). SEBD 2015: 240-247 - 2014
- [c2]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised Learning for Multi-target Regression. NFMCP 2014: 3-18 - 2013
- [j1]Jurica Levatic, Saso Dzeroski, Fran Supek, Tomislav Smuc:
Semi-Supervised Learning for Quantitative Structure-Activity Modeling. Informatica (Slovenia) 37(2): 173-179 (2013) - [c1]Jurica Levatic, Dragi Kocev, Saso Dzeroski:
The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance. NFMCP 2013: 162-177
Coauthor Index
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