Sebastián Basterrech

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Echo State Networks

Top Venues

Publications

Sebastián Basterrech, Line H. Clemmensen, Gerardo Rubino
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. CoRR (2024)
Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. DSAA (2023)
Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism. CoRR (2023)
Sebastián Basterrech, Gerardo Rubino
Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction. Appl. Soft Comput. 144 (2023)
Tomás Buriánek, Sebastián Basterrech
Improving the flexible neural tree model with swarm intelligence. Int. J. Adv. Intell. Paradigms 25 (3/4) (2023)
Sebastián Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak
Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. ISDA (3) (2022)
Sebastián Basterrech, Michal Wozniak
Tracking changes using Kullback-Leibler divergence for the continual learning. CoRR (2022)
Sebastián Basterrech, Michal Wozniak
Tracking changes using Kullback-Leibler divergence for the continual learning. SMC (2022)
Sebastián Basterrech, Gerardo Rubino
Evolutionary Echo State Network: evolving reservoirs in the Fourier space. CoRR (2022)
Sebastián Basterrech, Gerardo Rubino
Evolutionary Echo State Network: evolving reservoirs in the Fourier space. IJCNN (2022)
Sebastián Basterrech, Tarun Kumar Sharma
Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms. CoRR (2022)
Sebastián Basterrech, Gerardo Rubino
Evolving reservoir weights in the frequency domain. GECCO Companion (2021)
Sebastián Basterrech, Pavel Krömer
A nature-inspired biomarker for mental concentration using a single-channel EEG. Neural Comput. Appl. 32 (12) (2020)
Sebastián Basterrech
Pattern Matching in Sequential Data Using Reservoir Projections. ISNN (1) (2019)
Hikmat Dashdamirov, Sebastián Basterrech
Estimation of the Human Concentration using Echo State Networks. ESANN (2018)
Hikmat Dashdamirov, Sebastián Basterrech, Pavel Krömer
A Nature-inspired System for Mental State Recognition. CEC (2018)
Charles Donkor, Emmanuel Sam, Sebastián Basterrech
Analysis of Tensor-Based Image Segmentation Using Echo State Networks. MESAS (2018)
Emmanuel Sam, Sergey Yarushev, Sebastián Basterrech, Alexey N. Averkin
Prediction of Facebook Post Metrics using Machine Learning. CoRR (2018)
Tomás Buriánek, Sebastián Basterrech
Quantifying the Reservoir Quality using Dimensionality Reduction Techniques. ESANN (2018)
Sebastián Basterrech
Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property. CoRR (2017)
Sebastián Basterrech
Empirical analysis of the necessary and sufficient conditions of the echo state property. IJCNN (2017)
Sebastián Basterrech
Estimating Human Activities from Smartwatches with Feedforward Neural Networks. ECC (2016)
Sebastián Basterrech
Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing. ICAISC (1) (2016)
Sebastián Basterrech, Gerardo Rubino
A Tutorial about Random Neural Networks in Supervised Learning. CoRR (2016)
Andrea Mesa, Sebastián Basterrech, Gustavo Guerberoff, Fernando Alvarez-Valin
Hidden Markov models for gene sequence classification - Classifying the VSG gene in the Trypanosoma brucei genome. Pattern Anal. Appl. 19 (3) (2016)
Sebastián Basterrech, Varun Kumar Ojha
Temporal Learning Using Echo State Network for Human Activity Recognition. ENIC (2016)
Claudio Aracena, Sebastián Basterrech, Václav Snásel, Juan D. Velásquez
Neural Networks for Emotion Recognition Based on Eye Tracking Data. SMC (2015)
Sebastián Basterrech, Enrique Alba, Václav Snásel
An Experimental Analysis of the Echo State Network Initialization Using the Particle Swarm Optimization. CoRR (2015)
Sebastián Basterrech
An Empirical Study of the L2-Boost technique with Echo State Networks. CoRR (2015)
Sebastián Basterrech, Gerardo Rubino, Václav Snásel
Sensitivity analysis of echo state networks for forecasting pseudo-periodic time series. SoCPaR (2015)
Sebastián Basterrech, Gerardo Rubino, Václav Snásel
Experimental Analysis of a Hybrid Reservoir Computing Technique. HIS (2015)
Sebastián Basterrech, Kei Ohnishi, Mario Köppen
Neural Signature of Efficiency Relations. SMC (2015)
Andrea Mesa, Sebastián Basterrech, Gustavo Guerberoff, Fernando Alvarez-Valin
Hidden Markov Models for Gene Sequence Classification: Classifying the VSG gene in the Trypanosoma brucei Genome. CoRR (2015)
Sebastián Basterrech, Andrea Mesa, Ngoc-Tu Dinh
Generalized Linear Models Applied for Skin Identification in Image Processing. ECC (2015)
Sebastián Basterrech, Pavel Bobrov, Alexander A. Frolov, Dusan Húsek
Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI. ICAISC (2015)
Sebastián Basterrech, Jan Janousek, Václav Snásel
A Study of Random Neural Network Performance for Supervised Learning Tasks in CUDA. ECC (2) (2014)
Sebastián Basterrech, Andrea Mesa
Bagging Technique Using Temporal Expansion Functions. IBICA (2014)
Tomas Burianek, Sebastián Basterrech
Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model. DATESO (2014)
Sebastián Basterrech, Enrique Alba, Václav Snásel
An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization. NaBIC (2014)
Sebastián Basterrech, Tomás Buriánek
Solar Irradiance Estimation Using the Echo State Network and the Flexible Neural Tree. ECC (1) (2014)
Francois Despaux, Sebastián Basterrech
A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet. ISDA (2014)
Sebastián Basterrech, Ladislav Zjavka, Lukás Prokop, Stanislav Misák
Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks. ISDA (2013)
Sebastián Basterrech, Gerardo Rubino
Echo State Queueing Network: A new reservoir computing learning tool. CCNC (2013)
Sebastián Basterrech, Václav Snásel
Time-series forecasting using Bagging techniques and reservoir computing. SoCPaR (2013)
Sebastián Basterrech, Václav Snásel
Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques. SoICT (2013)
Sebastián Basterrech, Václav Snásel, Gerardo Rubino
An Experimental Analysis of Reservoir Parameters of the Echo State Queueing Network Model. IBICA (2013)
Sebastián Basterrech, Gerardo Rubino
A more powerful random neural network model in supervised learning applications. SoCPaR (2013)
Sebastián Basterrech
An empirical study of L2-Boost with Echo State Networks. ISDA (2013)
Sebastián Basterrech, Gerardo Rubino
Echo State Queueing Network: a new reservoir computing learning tool CoRR (2012)
Sebastián Basterrech, Gerardo Rubino, Martín Varela
Single-sided Real-time PESQ Score Estimation CoRR (2012)
Sebastián Basterrech, Colin Fyfe, Gerardo Rubino
Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. ISDA (2011)
Sebastián Basterrech, Samir Mohamed, Gerardo Rubino, Mostafa A. Soliman
Levenberg - Marquardt Training Algorithms for Random Neural Networks. Comput. J. 54 (1) (2011)