Born
November 1985
E-mail
radoslav.skoviera cvut.cz
Tel
+420-22435-4222

Affiliation
Czech Institute of Informatics, Cybernetics, and Robotics Czech Technical University in Prague
Research group
Robotics and Machine Perception (37240)
Office
B-611a, Jugoslavskych partyzanu 3, 160 00 Praha 6

Teaching

Publications
  • Radoslav Škoviera and Ivan Bajla. Image classification based on hierarchical temporal memory and color features. In J. Manka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, 9th International Conference on Measurement, pages 63–66. Institute of Measurement Science, SAS, 2013.
  • Radoslav Škoviera, Ivan Bajla, and Júlia Kucerová. Object recognition in clutter color images using hierarchical temporal memory combined with salient-regions detection. In M.H. Hamza, editor, IASTED Computational Intelligence, pages 245–254. ACTA Press, 2015.
  • Radoslav Škoviera, Zuzana Rošt’áková, Anna Krakovská, and Roman Rosipal. Spectral and complexity characteristics of sleep eeg following ischemic stroke. 6th International Young Biomedical Engineers and Researchers Conference, 12:108–114, 2014.
  • Radoslav Škoviera, Kristián Valentín, Svorad Štolc, and Ivan Bajla. Recognition of untrustworthy face images in atm sessions using a bioinspired intelligent network. In Maria De Marsico and Ana L. N. Fred, editors, ICPRAM, pages 511–517. SciTePress, 2013.
  • Radoslav Škoviera, Kristián Valentín, Svorad Štolc, and Ivan Bajla. Detekcia anomálneho správania biologicky inšpirovanou sietou. Technical Report E-talent 2010et019, Ústav merania SAV, 2012.
  • Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Temporal pooling method for rapid htm learning applied to geometric object recognition. In J. Manka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, Proceedings of the 8th International Conference on Measurement, pages 59–64. Institute of Measurement Science, SAS, 2011.
  • Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Pairwise temporal pooling method for rapid training of the htm networks used in computer vision applications. Computing and Informatics, 31(4):901–919, 2012.
  • Anna Krakovská, Radoslav Škoviera, Georg Dorffner, and Roman Rosipa. Does the complexity of sleep eeg increase or decrease with age? In J. Manka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, Proceedings of the 10th International Conference on Measurement. Institute of Measurement Science, SAS, 2015.

Education and Experience
2011 - 2016: Research Assistant at the Department of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia.
2015 - PhD degree in Informatics at the Institute of Measurement Science, SAS; thesis: Utilization of self-organized learning in hierarchical HTM networks for object recognition in image databases (supervisor prof. RNDr. Ing. Ivan Bajla, CSc.)
2010 - MSc degree in Cognitive Science at the Department of applied informatics, Faculty of Mathematics, Physics, and Informatics, Comenius University in Bratislava.