Tomas Skovranek

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 6

Top Topics

Gaussian Processes

Linear Prediction

Anisotropic Diffusion

Top Venues

Comput. Electr. Eng.

IEEE Signal Process. Lett.

Microelectron. J.

Appl. Math. Comput.

Publications

Vladimir Despotovic, Tomas Skovranek, Christoph Schommer
Speech Based Estimation of Parkinson's Disease Using Gaussian Processes and Automatic Relevance Determination. Neurocomputing 401 (2020)
Tomas Skovranek, Vladimir Despotovic, Zoran Peric
Optimal Fractional Linear Prediction With Restricted Memory. IEEE Signal Process. Lett. 26 (5) (2019)
Tomas Skovranek, Michal Macias, Dominik Sierociuk, Wiktor Malesza, Andrzej Dzielinski, Igor Podlubny, Jana Pócsová, Ivo Petrás
Anomalous diffusion modeling using ultracapacitors in domino ladder circuit. Microelectron. J. 84 (2019)
Tomas Skovranek, Vladimir Despotovic, Zoran Peric
Two-dimensional fractional linear prediction. Comput. Electr. Eng. 77 (2019)
Vladimir Despotovic, Tomas Skovranek, Zoran Peric
One-parameter fractional linear prediction. Comput. Electr. Eng. 69 (2018)
Dominik Sierociuk, Tomas Skovranek, Michal Macias, Igor Podlubny, Ivo Petrás, Andrzej Dzielinski, Pawel Ziubinski
Diffusion process modeling by using fractional-order models. Appl. Math. Comput. 257 (2015)
Igor Podlubny, Aleksei V. Chechkin, Tomas Skovranek, Yangquan Chen, Blas M. Vinagre Jara
Matrix approach to discrete fractional calculus II: Partial fractional differential equations. J. Comput. Phys. 228 (8) (2009)
Igor Podlubny, Tomas Skovranek, Blas M. Vinagre
Matrix Approach to Discretization of Fractional Derivatives and to Solution of Fractional Differential Equations and their Systems. ETFA (2009)
Igor Podlubny, Aleksei V. Chechkin, Tomas Skovranek, Yangquan Chen, Blas M. Vinagre
Matrix approach to discrete fractional calculus II: partial fractional differential equations CoRR (2008)