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Jurica Levatić

5 papers hereh-index 13538 citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV2

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedMachine learning for predicting thermal power consumption of the Mars Express Spacecraft

18 citations · 20 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Not All Unlabeled Data Are Equal: Unlabeled Data Selection for Semi-Supervised QSAR Modeling with Large Chemical Repositories

Oliver Majer, Saso Dzeroski, Jurica Levatic

Semi-supervised learning (SSL) is particularly attractive in domains where labels are expensive to obtain, while unlabeled examples are readily available. Quantitative Structure-Ac…

cs.LG2022★ 2 cited

Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification

Jurica Levatić, Michelangelo Ceci, Dragi Kocev +1

Semi-supervised learning (SSL) is a common approach to learning predictive models using not only labeled examples, but also unlabeled examples. While SSL for the simple tasks of cl…

cs.LG2018★ 18 cited

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft

Matej Petković, Redouane Boumghar, Martin Breskvar +7

The thermal subsystem of the Mars Express (MEX) spacecraft keeps the on-board equipment within its pre-defined operating temperatures range. To plan and optimize the scientific ope…

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