Statistika ReVIS

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

Doktorska dela (15)

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