Sebastián Basterrech
Sebastián Basterrech
Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University
Verified email at
TitleCited byYear
Levenberg—Marquardt Training Algorithms for Random Neural Networks
S Basterrech, S Mohammed, G Rubino, M Soliman
The Computer Journal 54 (1), 125-135, 2011
Echo State Queueing Network: A new Reservoir Computing learning tool
S Basterrech, G Rubino
Consumer Communications and Networking Conference (CCNC), 2013 IEEE, 118 - 123, 2013
Self-organizing Maps and Scale-invariant Maps in Echo State Networks
S Basterrech, C Fyfe, G Rubino
Intelligent Systems Design and Applications (ISDA), 2011 11th International …, 2011
An experimental analysis of the echo state network initialization using the particle swarm optimization
S Basterrech, E Alba, V Snášel
Nature and Biologically Inspired Computing (NaBIC), 2014 Sixth World …, 2014
Initializing Echo State Networks with topographic maps
S Basterrech, C Fyfe, G Rubino
Second International Conference on Morphological Computation (ICMC 2011 …, 2011
Neural networks for emotion recognition based on eye tracking data
C Aracena, S Basterrech, V Snáel, J Velásquez
2015 IEEE International Conference on Systems, Man, and Cybernetics, 2632-2637, 2015
Irradiance prediction using echo state queueing networks and differential polynomial neural networks
S Basterrech, L Zjavka, L Prokop, S Mišák
Intelligent Systems Design and Applications (ISDA), 2013 13th International …, 2013
Optimal design of neural tree for solar power prediction
S Basterrech, L Prokop, T Burianek, S Misak
Electric Power Engineering (EPE), Proccedings of the 2014 15th International …, 2014
Single-sided real-time PESQ score estimation
S Basterrech, G Rubino, M Varela
Measurement of Speech, Audio, and Video Quality in Networks (MESAQIN2009), 94-99, 2009
Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property
S Basterrech
2017 International Joint Conference on Neural Networks (IJCNN),, 2017
Solar Irradiance Estimation Using the Echo State Network and the Flexible Neural Tree
S Basterrech, T Buriánek
Intelligent Data Analysis and its Applications, Volume I, 475-484, 2014
A more powerful random neural network model in supervised learning applications
S Basterrech, G Rubino
Soft Computing and Pattern Recognition (SoCPaR), 2013 International …, 2013
Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques
S Basterrech, V Snášel
ACM - Symposium on Information and Communication Technology, 53-60, 2013
Echo State Queueing Networks: a combination of Reservoir Computing and Random Neural Networks
S Basterrech, G Rubino
Probability in the Engineering and Informational Sciences 31 (4), 457-476, 2017
A performance study of random neural network as supervised learning tool using CUDA
S Basterrech, J Janousek, V Snásel
網際網路技術學刊 17 (4), 771-778, 2016
An experimental analysis of reservoir parameters of the echo state queueing network model
S Basterrech, V Snášel, G Rubino
Innovations in Bio-inspired Computing and Applications, 13-22, 2014
Hidden Markov models for gene sequence classification
A Mesa, S Basterrech, G Guerberoff, F Alvarez-Valin
Pattern Analysis and Applications 19 (3), 793-805, 2016
Random neural network model for supervised learning problems
S Basterrech, G Rubino
Neural Network World 25 (5), 457-499, 2015
Nature-inspired algorithms for selecting EEG sources for motor imagery based BCI
S Basterrech, P Bobrov, A Frolov, D Húsek
International Conference on Artificial Intelligence and Soft Computing, 79-90, 2015
A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet
F Despaux, S Basterrech
Intelligent Systems Design and Applications (ISDA), 2014 14th International …, 2014
The system can't perform the operation now. Try again later.
Articles 1–20