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The activities of the Intelligent Computing Systems Laboratory concern the application of computational intelligence in classification and diagnosis, scheduling and optimization, control and navigation tasks, as well as in data mining and knowledge discovery. For many of the above topics the members of the Laboratory have developed their own algorithms and software implementations, using both conventional and parallel hardware. The research group has extensive experience related to the use of intelligent techniques in biomedical applications (compression of medical images, cytological diagnosis, electrocardiogram analysis,classification of ultrasound images etc) and applications of educational multimedia systems (text characterization and classification, information mining, intelligent search based on user preference profile, intelligent agent architectures etc).


Current research activities of ICSL also involve the development and implementation of hybrid intelligent systems, allowing the effective synergy of subsymbolic and symbolic processing through combination of neural networks with fuzzy logic and conventional artificial intelligence techniques (e.g. rule-based systems).

  • Datasets   ( 1 Article )

    Datasets provided bt the Intelligent Systems Laboratory

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