Staff: N. Antulov-Fantulin, I. Ivek, M. Mihelčić, R. Horvat, D. Gamberger, M. Piskorec,  I. Maric, T. Smuc

 The Laboratory works on scientific research in the field of technical sciences and specifically on:

  • research and development of machine learning algorithms and their application in data analysis
  • theory and application of knowledge representation and reasoning algorithms
  • development of numerical algorithms for modeling of complex systems

Currently we work on:

  • development of algorithms for rule induction from large datasets
  • evaluation of outlier detection algorithms and development of a new approach based on random forests
  • data mining in social applications (political instability, direct foreign investment, international tourism industry)
  • detection of subgroups of patients by mining gene expression data
  • medical and technical ontologies as well as representation and reasoning for procedural knowledge
  • evaluation of the quality of computational annotations in the gene ontology
  • development and application of the GMDH based modeling
  • development of surrogate models of the reduced complexity for embedded computer systems

Projects (1)

Computational Intelligence Methods in Measurement Systems

Principal investigator: dr.sc. Tomislav Šmuc

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