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Tomas Skovranek
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2020 – today
- 2020
- [j7]Vladimir Despotovic, Tomas Skovranek, Christoph Schommer:
Speech Based Estimation of Parkinson's Disease Using Gaussian Processes and Automatic Relevance Determination. Neurocomputing 401: 173-181 (2020)
2010 – 2019
- 2019
- [j6]Tomas Skovranek, Vladimir Despotovic, Zoran Peric:
Two-dimensional fractional linear prediction. Comput. Electr. Eng. 77: 37-46 (2019) - [j5]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: 136-141 (2019) - [j4]Tomas Skovranek, Vladimir Despotovic, Zoran Peric:
Optimal Fractional Linear Prediction With Restricted Memory. IEEE Signal Process. Lett. 26(5): 760-764 (2019) - 2018
- [j3]Vladimir Despotovic, Tomas Skovranek, Zoran Peric:
One-parameter fractional linear prediction. Comput. Electr. Eng. 69: 158-170 (2018) - 2015
- [j2]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: 2-11 (2015)
2000 – 2009
- 2009
- [j1]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): 3137-3153 (2009) - [c1]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: 1-6 - 2008
- [i1]Igor Podlubny, Aleksei V. Chechkin, Tomas Skovranek, Yangquan Chen, Blas M. Vinagre:
Matrix approach to discrete fractional calculus II: partial fractional differential equations. CoRR abs/0811.1355 (2008)
Coauthor Index
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