Statistika ReVIS

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Bibliografija osebe. Seznam zajema vsa gradiva in ne le tista, kje je oseba mentor.

Doktorska dela (16)

1. Martin Breskvar: Tree and rule ensembles for multi-target prediction with random output subspaces
2. Matej Petković: Feature ranking for structured output prediction
3. Stevanče Nikoloski: Structured output prediction and modeling soil functions
4. Tomaž Stepišnik: Complex nodes in trees for structured output prediction
5. Milka Ljoncheva: Annotation of semi-polar organic contaminants by using gas chromatography coupled to mass spectrometry and machine learning
6. Gordana Ispirova: Exploiting domain knowledge in predictive learning from food and nutrition data
7. Jure Brence: Probabilistic grammar-based equation discovery
8. Ana Kostovska: Representing and exploiting benchmarking data for optimisation and learning
9. Daniela Maksimović: Considering autocorrelation in predictive models
10. Elena Ikonomovska: Algorithms for learning regression trees and ensembles on evolving data streams
11. Aleksandar Pečkov: A machine learning approach to polynomial regression
12. Panče Panov: A modular ontology of data mining
13. Ivica Slavkov: An evaluation method for feature rankings
14. Katerina Taškova: Parameter identification in nonlinear dynamic systems with meta-heuristic approaches
15. Dragi Kocev: Ensembles for predicting structured outputs
16. Aneta Ivanovska: Analysis of results of ecological simulation models with machine learning