Sebastián Basterrech

According to our database, Sebastián Basterrech authored at least 47 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism.

Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak

Knowl. Based Syst., 2024

Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation.

Sebastián Basterrech

CoRR, 2024

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection.

Sebastián Basterrech, Line Harder Clemmensen, Gerardo Rubino

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction.

Sebastián Basterrech, Gerardo Rubino

Appl. Soft Comput., September, 2023

Improving the flexible neural tree model with swarm intelligence.

Tomás Buriánek, Sebastián Basterrech

Int. J. Adv. Intell. Paradigms, 2023

A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection.

Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms.

Sebastián Basterrech, Tarun Kumar Sharma

CoRR, 2022

Tracking changes using Kullback-Leibler divergence for the continual learning.

Sebastián Basterrech, Michal Wozniak

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection.

Sebastián Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Evolutionary Echo State Network: evolving reservoirs in the Fourier space.

Sebastián Basterrech, Gerardo Rubino

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Evolving reservoir weights in the frequency domain.

Sebastián Basterrech, Gerardo Rubino

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

A nature-inspired biomarker for mental concentration using a single-channel EEG.

Sebastián Basterrech, Pavel Krömer

Neural Comput. Appl., 2020

2019

Pattern Matching in Sequential Data Using Reservoir Projections.

Sebastián Basterrech

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

Prediction of Facebook Post Metrics using Machine Learning.

Emmanuel Sam, Sergey Yarushev, Sebastián Basterrech, Alexey N. Averkin

CoRR, 2018

Analysis of Tensor-Based Image Segmentation Using Echo State Networks.

Charles Donkor, Emmanuel Sam, Sebastián Basterrech

Proceedings of the Modelling and Simulation for Autonomous Systems, 2018

Estimation of the Human Concentration using Echo State Networks.

Hikmat Dashdamirov, Sebastián Basterrech

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Quantifying the Reservoir Quality using Dimensionality Reduction Techniques.

Tomás Buriánek, Sebastián Basterrech

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

A Nature-inspired System for Mental State Recognition.

Hikmat Dashdamirov, Sebastián Basterrech, Pavel Krömer

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Empirical analysis of the necessary and sufficient conditions of the echo state property.

Sebastián Basterrech

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Hidden Markov models for gene sequence classification - Classifying the VSG gene in the Trypanosoma brucei genome.

Andrea Mesa, Sebastián Basterrech, Gustavo Guerberoff, Fernando Alvarez-Valin

Pattern Anal. Appl., 2016

A Tutorial about Random Neural Networks in Supervised Learning.

Sebastián Basterrech, Gerardo Rubino

CoRR, 2016

Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing.

Sebastián Basterrech

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Temporal Learning Using Echo State Network for Human Activity Recognition.

Sebastián Basterrech, Varun Kumar Ojha

Proceedings of the Third European Network Intelligence Conference, 2016

Estimating Human Activities from Smartwatches with Feedforward Neural Networks.

Sebastián Basterrech

Proceedings of the Intelligent Data Analysis and Applications, 2016

2015

An Empirical Study of the L2-Boost technique with Echo State Networks.

Sebastián Basterrech

CoRR, 2015

Sensitivity analysis of echo state networks for forecasting pseudo-periodic time series.

Sebastián Basterrech, Gerardo Rubino, Václav Snásel

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Neural Signature of Efficiency Relations.

Sebastián Basterrech, Kei Ohnishi, Mario Köppen

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Neural Networks for Emotion Recognition Based on Eye Tracking Data.

Claudio Aracena, Sebastián Basterrech, Václav Snásel, Juan D. Velásquez

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI.

Sebastián Basterrech, Pavel Bobrov, Alexander A. Frolov, Dusan Húsek

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Experimental Analysis of a Hybrid Reservoir Computing Technique.

Sebastián Basterrech, Gerardo Rubino, Václav Snásel

Proceedings of the Hybrid Intelligent Systems, 2015

Generalized Linear Models Applied for Skin Identification in Image Processing.

Sebastián Basterrech, Andrea Mesa, Ngoc-Tu Dinh

Proceedings of the Intelligent Data Analysis and Applications, 2015

2014

An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization.

Sebastián Basterrech, Enrique Alba, Václav Snásel

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet.

Francois Despaux, Sebastián Basterrech

Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

Bagging Technique Using Temporal Expansion Functions.

Sebastián Basterrech, Andrea Mesa

Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

A Study of Random Neural Network Performance for Supervised Learning Tasks in CUDA.

Sebastián Basterrech, Jan Janousek, Václav Snásel

Proceedings of the Intelligent Data analysis and its Applications, Volume II, 2014

Solar Irradiance Estimation Using the Echo State Network and the Flexible Neural Tree.

Sebastián Basterrech, Tomás Buriánek

Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model.

Tomas Burianek, Sebastián Basterrech

Proceedings of the Dateso 2014 Annual International Workshop on DAtabases, 2014

2013

Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques.

Sebastián Basterrech, Václav Snásel

Proceedings of the 4th International Symposium on Information and Communication Technology, 2013

Time-series forecasting using Bagging techniques and reservoir computing.

Sebastián Basterrech, Václav Snásel

Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

A more powerful random neural network model in supervised learning applications.

Sebastián Basterrech, Gerardo Rubino

Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks.

Sebastián Basterrech, Ladislav Zjavka, Lukás Prokop, Stanislav Misák

Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

An empirical study of L2-Boost with Echo State Networks.

Sebastián Basterrech

Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

An Experimental Analysis of Reservoir Parameters of the Echo State Queueing Network Model.

Sebastián Basterrech, Václav Snásel, Gerardo Rubino

Proceedings of the Innovations in Bio-inspired Computing and Applications, 2013

Echo State Queueing Network: A new reservoir computing learning tool.

Sebastián Basterrech, Gerardo Rubino

Proceedings of the 10th IEEE Consumer Communications and Networking Conference, 2013

2012

Single-sided Real-time PESQ Score Estimation

Sebastián Basterrech, Gerardo Rubino, Martín Varela

CoRR, 2012

2011

Levenberg - Marquardt Training Algorithms for Random Neural Networks.

Sebastián Basterrech, Samir Mohamed, Gerardo Rubino, Mostafa A. Soliman

Comput. J., 2011

Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks.

Sebastián Basterrech, Colin Fyfe, Gerardo Rubino

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011