Kristian Valentin/sk: Rozdiel medzi revíziami
| Riadok 36: | Riadok 36: | ||
=== Publikácie === | === Publikácie === | ||
| − | * '''Valentín''', Malý: ''Network firewall using artificial neural networks'' | + | * '''Valentín''', Malý: ''Network firewall using artificial neural networks'', Computing and Informatics, Vol. 32, pp. 1001–1016, 2013. |
* Škoviera, '''Valentín''', Štolc, Bajla: ''Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network''. In: Maria De Marsico, Ana Fred (eds), Proc. of the 2nd Int. Conf. on Pattern Recognition Applications and Methods, ICPRAM, Barcelona, Spain, February 15-18, 2013, pp. 511-517. SciTePress, Portugal. DOI: 10.5220/0004195605110517 | * Škoviera, '''Valentín''', Štolc, Bajla: ''Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network''. In: Maria De Marsico, Ana Fred (eds), Proc. of the 2nd Int. Conf. on Pattern Recognition Applications and Methods, ICPRAM, Barcelona, Spain, February 15-18, 2013, pp. 511-517. SciTePress, Portugal. DOI: 10.5220/0004195605110517 | ||
* '''Valentín''', Bajla, Štolc: ''A performance comparison of HTM and DBN models applied to visual object classification''. In: J. Maňka, M. Tyšler, V. Witkovský, I. Frollo, (eds), MEASUREMENT 2013, Proc. of the 9th Int. Conf. on Measurement, Smolenice, Slovakia, May 27-30, 2013, pp. 23-27. | * '''Valentín''', Bajla, Štolc: ''A performance comparison of HTM and DBN models applied to visual object classification''. In: J. Maňka, M. Tyšler, V. Witkovský, I. Frollo, (eds), MEASUREMENT 2013, Proc. of the 9th Int. Conf. on Measurement, Smolenice, Slovakia, May 27-30, 2013, pp. 23-27. | ||
Verzia zo dňa a času 11:37, 19. december 2013
Kristián Valentín
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Konzultačné hodiny
Streda 10:00 – 12:00 alebo po dohode
Výučba
Akademický rok 2013/2014
- [Z] Cvičenia k predmetu Modern Approaches to Web Design
Akademický rok 2012/2013
- [Z] Cvičenia k predmetu Modern Approaches to Web Design
- [L] Cvičenia k predmetu Neurónové siete
- [L] Cvičenia k predmetu Základy umelej inteligencie 2
Akademický rok 2011/2012
- [Z] Cvičenia k predmetu Modern Approaches to Web Design
- [L] Cvičenia k predmetu Neurónové siete
Akademický rok 2010/2011
- [Z] Cvičenia k predmetu Modern Approaches to Web Design
- [L] Cvičenia k predmetu Neurónové siete
Výskum
- Hierarchical Temporal Memory (HMM) model
- (invariant) visual object recognition, bio-inspired AI
Publikácie
- Valentín, Malý: Network firewall using artificial neural networks, Computing and Informatics, Vol. 32, pp. 1001–1016, 2013.
- Škoviera, Valentín, Štolc, Bajla: Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network. In: Maria De Marsico, Ana Fred (eds), Proc. of the 2nd Int. Conf. on Pattern Recognition Applications and Methods, ICPRAM, Barcelona, Spain, February 15-18, 2013, pp. 511-517. SciTePress, Portugal. DOI: 10.5220/0004195605110517
- Valentín, Bajla, Štolc: A performance comparison of HTM and DBN models applied to visual object classification. In: J. Maňka, M. Tyšler, V. Witkovský, I. Frollo, (eds), MEASUREMENT 2013, Proc. of the 9th Int. Conf. on Measurement, Smolenice, Slovakia, May 27-30, 2013, pp. 23-27.
- Štolc, Bajla, Valentín and Škoviera. Pair-wise temporal pooling method for rapid training of the HTM networks used in computer vision applications, Computing and Informatics, vol. 32, pp. 1001–1019, 2012.
- Štolc, Bajla, Valentín and Škoviera. Temporal Pooling Method for Rapid HTM Learning Applied to Geometric Object Recognition, Proceedings of the 8th International Conference on Measurement, pp. 59-64, 2011.
- Valentín, K. Hierarchical Temporal Memory – What is New?. Poster at The 7th International Summer School on Pattern Recognition, Plymouth(UK), 2011.
Ďalšie aktivity
- Koordinátor Akademického podporného centra
- Člen Študetnského vývojového tímu od apríla 2013
- Člen Študentskej časti AS UK od apríla 2013.
- Člen ŠKAS FMFI UK v akademickom roku 2011/2012 a pre funkčné obdobie 2012 – 2014
- Delegát v Študentskej rade vysokých škôl pre obdobie 2010 – 2012