Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. - Sebastián Basterrech; Colin Fyfe; Gerardo Rubino (ISDA, 2011)

Levenberg - Marquardt Training Algorithms for Random Neural Networks. - Sebastián Basterrech; Samir Mohamed; Gerardo Rubino; Mostafa A. Soliman (Comput. J., 2011)

Single-sided Real-time PESQ Score Estimation - Sebastián Basterrech; Gerardo Rubino; Martín Varela 001 (CoRR, 2012)

Echo State Queueing Network: A new reservoir computing learning tool. - Sebastián Basterrech; Gerardo Rubino (CCNC, 2013)

An Experimental Analysis of Reservoir Parameters of the Echo State Queueing Network Model. - Sebastián Basterrech; Václav Snásel; Gerardo Rubino (IBICA, 2013)

An empirical study of L2-Boost with Echo State Networks. - Sebastián Basterrech (ISDA, 2013)

Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks. - Sebastián Basterrech; Ladislav Zjavka; Lukás Prokop 001; Stanislav Misák (ISDA, 2013)

A more powerful random neural network model in supervised learning applications. - Sebastián Basterrech; Gerardo Rubino (SoCPaR, 2013)

Time-series forecasting using Bagging techniques and reservoir computing. - Sebastián Basterrech; Václav Snásel (SoCPaR, 2013)

Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques. - Sebastián Basterrech; Václav Snásel (SoICT, 2013)

Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model. - Tomas Burianek; Sebastián Basterrech (DATESO, 2014)

Solar Irradiance Estimation Using the Echo State Network and the Flexible Neural Tree. - Sebastián Basterrech; Tomás Buriánek (ECC (1), 2014)

A Study of Random Neural Network Performance for Supervised Learning Tasks in CUDA. - Sebastián Basterrech; Jan Janousek; Václav Snásel (ECC (2), 2014)

Bagging Technique Using Temporal Expansion Functions. - Sebastián Basterrech; Andrea Mesa (IBICA, 2014)

A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet. - Francois Despaux; Sebastián Basterrech (ISDA, 2014)

An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization. - Sebastián Basterrech; Enrique Alba 001; Václav Snásel (NaBIC, 2014)

Generalized Linear Models Applied for Skin Identification in Image Processing. - Sebastián Basterrech; Andrea Mesa; Ngoc-Tu Dinh (ECC, 2015)

Experimental Analysis of a Hybrid Reservoir Computing Technique. - Sebastián Basterrech; Gerardo Rubino; Václav Snásel (HIS, 2015)

Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI. - Sebastián Basterrech; Pavel Bobrov; Alexander A. Frolov; Dusan Húsek (ICAISC, 2015)

Neural Networks for Emotion Recognition Based on Eye Tracking Data. - Claudio Aracena; Sebastián Basterrech; Václav Snásel; Juan D. Velásquez 001 (SMC, 2015)

Neural Signature of Efficiency Relations. - Sebastián Basterrech; Kei Ohnishi; Mario Köppen (SMC, 2015)

Sensitivity analysis of echo state networks for forecasting pseudo-periodic time series. - Sebastián Basterrech; Gerardo Rubino; Václav Snásel (SoCPaR, 2015)

An Empirical Study of the L2-Boost technique with Echo State Networks. - Sebastián Basterrech (CoRR, 2015)

Estimating Human Activities from Smartwatches with Feedforward Neural Networks. - Sebastián Basterrech (ECC, 2016)

Temporal Learning Using Echo State Network for Human Activity Recognition. - Sebastián Basterrech; Varun Kumar Ojha (ENIC, 2016)

Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing. - Sebastián Basterrech (ICAISC (1), 2016)

A Tutorial about Random Neural Networks in Supervised Learning. - Sebastián Basterrech; Gerardo Rubino (CoRR, 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)

Empirical analysis of the necessary and sufficient conditions of the echo state property. - Sebastián Basterrech (IJCNN, 2017)

A Nature-inspired System for Mental State Recognition. - Hikmat Dashdamirov; Sebastián Basterrech; Pavel Krömer (CEC, 2018)

Quantifying the Reservoir Quality using Dimensionality Reduction Techniques. - Tomás Buriánek; Sebastián Basterrech (ESANN, 2018)

Estimation of the Human Concentration using Echo State Networks. - Hikmat Dashdamirov; Sebastián Basterrech (ESANN, 2018)

Analysis of Tensor-Based Image Segmentation Using Echo State Networks. - Charles Donkor; Emmanuel Sam; Sebastián Basterrech (MESAS, 2018)

Prediction of Facebook Post Metrics using Machine Learning. - Emmanuel Sam; Sergey Yarushev; Sebastián Basterrech; Alexey N. Averkin (CoRR, 2018)

Pattern Matching in Sequential Data Using Reservoir Projections. - Sebastián Basterrech (ISNN (1), 2019)

A nature-inspired biomarker for mental concentration using a single-channel EEG. - Sebastián Basterrech; Pavel Krömer (Neural Comput. Appl., 2020)

Evolving reservoir weights in the frequency domain. - Sebastián Basterrech; Gerardo Rubino (GECCO Companion, 2021)

Evolutionary Echo State Network: evolving reservoirs in the Fourier space. - Sebastián Basterrech; Gerardo Rubino (IJCNN, 2022)

Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. - Sebastián Basterrech; Jan Platos; Gerardo Rubino; Michal Wozniak 001 (ISDA (3), 2022)

Tracking changes using Kullback-Leibler divergence for the continual learning. - Sebastián Basterrech; Michal Wozniak 001 (SMC, 2022)

Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms. - Sebastián Basterrech; Tarun Kumar Sharma (CoRR, 2022)

A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. - Sebastián Basterrech; Andrzej Kasprzak; Jan Platos; Michal Wozniak 001 (DSAA, 2023)

Improving the flexible neural tree model with swarm intelligence. - Tomás Buriánek; Sebastián Basterrech (Int. J. Adv. Intell. Paradigms, 2023)

Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction. - Sebastián Basterrech; Gerardo Rubino (Appl. Soft Comput., 2023)

Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation. - Sebastián Basterrech (DELTA, 2024)

Exploring Self-Organizing Maps for Addressing Semantic Impairments. - Jorge Graneri; Sebastián Basterrech; Gerardo Rubino; Eduardo Mizraji (ESANN, 2024)

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. - Sebastián Basterrech; Line Harder Clemmensen; Gerardo Rubino (IJCNN, 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 001 (Knowl. Based Syst., 2024)