e6ce430d-9a14-439f-b59e-e5da15b3c608

2013

FROLOV, A.; HÚSEK, D.; BOBROV, P.; MOKIENKO, O.; TINTĚRA J. Sources of Electrical Brain Activity Most Relevant to Performance of Brain-computer Interface Based on Motor Imagery. In Brain-Computer Interface InTech. ISBN 980-953-307-960-3. Doi: http://dx.doi.org/10.5772/55166.

KRÖMER, P.; OWAIS, S.; PLATOŠ, J.; SNÁŠEL, V. Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression. In Computers & Mathematics with Applications. Volume 66, Issue 2. ISSN 0898-1221. Doi 10.1016/j.camwa.2013.02.017. (In Press, Corrected Proof available online) http://www.sciencedirect.com/science/article/pii/S0898122113001284.

FROLOV, A.; HÚSEK, D.; POLYAKOV, P.Y. Two Expectation Maximization Algorithms for Boolean Factor Analysis. In Neurocomputing. Doi: http://dx.doi.org/10.1016/j.neucom.2012.02.055.

2012

BRANDSTETTER P.; KRECEK T. Speed and Current Control of Permanent Magnet Synchronous Motor Drive Using IMC Controllers. In Advances in Electrical and Computer Engineering. Volume 12, Issue 4, p. 3-10, 2012. ISSN 1582-7445. Doi: http://dx.doi.org/10.4316/AECE.2012.04001.

SEDANO, J.; GONZÁLEZ, S.; HERRERO, A.; BARUQUE, B.; CORCHADO, E. Mutating network scans for classifier ensemble assessment. In Logic Journal of the IGPL. Oxford University Press.

BESHAH, T., EJIGU, D., ABRAHAM, A., SNÁŠEL, V., KRÖMER, P.: Knowledge discovery from road traffic accident data in ethiopia: Data quality, ensembling and trend analysis for improving road safety. In Neural Network World. Volume 22, Issue 3, p. 215 – 244. ISSN 1210-0552. http://isda2001.softcomputing.net/nnw2012_tibebe.pdf.

KOLOSENI, D.; LAMPINEN, J.; LUUKKA P. Optimized Distance Metrics fo Differential Evolution based Nearest Prototype Classifier. In Expert Systems with Applications. Volume 39, Issue 12, p. 10564-10570. Elsevier. ISSN 0957-4174. Doi: http://dx.doi.org/10.1016/j.eswa.2012.02.144.

PENHAKER, M.; KREJCAR, O.; KASIK, V.; SNÁŠEL, V. Cloud computing environments for biomedical data services. In Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning, IDEAL’12, p. 336–343. Berlin, Heidelberg, 2012. Springer-Verlag.

2011

BARUQUE, B., Corchado, E., Yin, H. THE S2-ENSEMBLE FUSION ALGORITHM. In International Journal of Neural Systems. Volume 21, Issue 06, p. 505–525. ISSN 0129-0657. Doi: http://dx.doi.org/10.1142/S0129065711003012.

FROLOV, A., HÚSEK, D., POLYAKOV, P.Y.; SNÁŠEL, V. New BFA Method Based on Attractor Neural Network and Likelihood Maximization. Neurocomputing, Elsevier (S)

 

Researchers’ Night at IT4Innovations (2017-10-06)
Invitation to Researchers’ Night at IT4Innovations – 2017/10/06 We invite you to the largest pan-European […]
6th Annual Conference of IT4Innovations and 1st Users Conference
6th Annual Conference of IT4Innovations and 1st Users Conference We would like to invite you […]
Invitation to the course Creating Robust Software for Better Scientific Outcome (2017-10-04 to 2017-10-05)
When: Wednesday October 4, 2017, 9.30am – Thursday October 5, 2017, 3.30pm Where: campus VŠB-TUO […]
Invitation to the seminar HPC for small and medium enterprises (2017-09-07)
Invitation to the seminar HPC for small and medium enterprises (7/9/2017) We would like to […]
Press Release: IT4Innovations will have a new Director
All news