Topics of Research

  • machine learning and data mining,
  • modelling of numerical, symbolic, and image data,
  • image analysis,
  • medical diagnostics and prognostics,
  • estimation of data quality and data importance,
  • statistical data analysis,
  • deep learning,
  • interactions of various parameters,
  • text summarization,
  • web users profiling,
  • network analysis,
  • text mining,
  • graph mining.

Machine learning and data mining search for regularities in moderate to large databases by learning models of data.  Generated models can be used for explanation of data, simulations, process control, prediction, and solving new related problems. An example is medical diagnostics, where from previously diagnosed patients a model for diagnosing new, previously unseen patients can be derived. Similar approaches can also be used in insurance or banking businesses, where predictive models can be used for detecting unusual or interesting patterns in a day-to-day business process.


Laboratory is equipped with modern workstations for researchers and guests.

Survey of activities

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