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ORCIDSebastián Basterrech
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2020 – today
- 2024
[j6]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. Knowl. Based Syst. 304: 112482 (2024)- [c35]Sebastián Basterrech, Line Harder Clemmensen, Gerardo Rubino:
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. IJCNN 2024: 1-9 - [i14]Sebastián Basterrech, Line H. Clemmensen, Gerardo Rubino:
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. CoRR abs/2404.16656 (2024) - [i13]Sebastián Basterrech:
Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation. CoRR abs/2410.04183 (2024) - 2023
- [j5]Sebastián Basterrech, Gerardo Rubino:
Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction. Appl. Soft Comput. 144: 110463 (2023) - [j4]Tomás Buriánek, Sebastián Basterrech:
Improving the flexible neural tree model with swarm intelligence. Int. J. Adv. Intell. Paradigms 25(3/4): 360-373 (2023) - [c34]Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak:
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. DSAA 2023: 1-10 - [i12]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 abs/2309.03720 (2023) - 2022
- [c33]Sebastián Basterrech, Gerardo Rubino:
Evolutionary Echo State Network: evolving reservoirs in the Fourier space. IJCNN 2022: 1-8 - [c32]Sebastián Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak:
Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. ISDA (3) 2022: 190-199 - [c31]Sebastián Basterrech, Michal Wozniak:
Tracking changes using Kullback-Leibler divergence for the continual learning. SMC 2022: 3279-3285 - [i11]Sebastián Basterrech, Gerardo Rubino:
Evolutionary Echo State Network: evolving reservoirs in the Fourier space. CoRR abs/2206.04951 (2022) - [i10]Sebastián Basterrech, Michal Wozniak:
Tracking changes using Kullback-Leibler divergence for the continual learning. CoRR abs/2210.04865 (2022) - [i9]Sebastián Basterrech, Tarun Kumar Sharma:
Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms. CoRR abs/2211.06254 (2022) - 2021
- [c30]Sebastián Basterrech, Gerardo Rubino:
Evolving reservoir weights in the frequency domain. GECCO Companion 2021: 271-272 - 2020
- [j3]Sebastián Basterrech, Pavel Krömer:
A nature-inspired biomarker for mental concentration using a single-channel EEG. Neural Comput. Appl. 32(12): 7941-7956 (2020)
2010 – 2019
- 2019
- [c29]Sebastián Basterrech:
Pattern Matching in Sequential Data Using Reservoir Projections. ISNN (1) 2019: 173-183 - 2018
- [c28]Hikmat Dashdamirov, Sebastián Basterrech, Pavel Krömer:
A Nature-inspired System for Mental State Recognition. CEC 2018: 1-8 - [c27]Tomás Buriánek, Sebastián Basterrech:
Quantifying the Reservoir Quality using Dimensionality Reduction Techniques. ESANN 2018 - [c26]Hikmat Dashdamirov, Sebastián Basterrech:
Estimation of the Human Concentration using Echo State Networks. ESANN 2018 - [c25]Charles Donkor, Emmanuel Sam, Sebastián Basterrech:
Analysis of Tensor-Based Image Segmentation Using Echo State Networks. MESAS 2018: 490-499 - [i8]Emmanuel Sam, Sergey Yarushev, Sebastián Basterrech, Alexey N. Averkin:
Prediction of Facebook Post Metrics using Machine Learning. CoRR abs/1805.05579 (2018) - 2017
- [c24]Sebastián Basterrech:
Empirical analysis of the necessary and sufficient conditions of the echo state property. IJCNN 2017: 888-896 - [i7]Sebastián Basterrech:
Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property. CoRR abs/1703.06664 (2017) - 2016
- [j2]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): 793-805 (2016) - [c23]Sebastián Basterrech:
Estimating Human Activities from Smartwatches with Feedforward Neural Networks. ECC 2016: 51-57 - [c22]Sebastián Basterrech, Varun Kumar Ojha:
Temporal Learning Using Echo State Network for Human Activity Recognition. ENIC 2016: 217-223 - [c21]Sebastián Basterrech:
Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing. ICAISC (1) 2016: 15-24 - [i6]Sebastián Basterrech, Gerardo Rubino:
A Tutorial about Random Neural Networks in Supervised Learning. CoRR abs/1609.04846 (2016) - 2015
- [c20]Sebastián Basterrech, Andrea Mesa, Ngoc-Tu Dinh:
Generalized Linear Models Applied for Skin Identification in Image Processing. ECC 2015: 97-107 - [c19]Sebastián Basterrech, Gerardo Rubino, Václav Snásel:
Experimental Analysis of a Hybrid Reservoir Computing Technique. HIS 2015: 237-247 - [c18]Sebastián Basterrech, Pavel Bobrov, Alexander A. Frolov, Dusan Húsek:
Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI. ICAISC 2015: 79-90 - [c17]Sebastián Basterrech, Kei Ohnishi, Mario Köppen:
Neural Signature of Efficiency Relations. SMC 2015: 2090-2095 - [c16]Claudio Aracena, Sebastián Basterrech, Václav Snásel, Juan D. Velásquez:
Neural Networks for Emotion Recognition Based on Eye Tracking Data. SMC 2015: 2632-2637 - [c15]Sebastián Basterrech, Gerardo Rubino, Václav Snásel:
Sensitivity analysis of echo state networks for forecasting pseudo-periodic time series. SoCPaR 2015: 328-333 - [i5]Sebastián Basterrech, Enrique Alba, Václav Snásel:
An Experimental Analysis of the Echo State Network Initialization Using the Particle Swarm Optimization. CoRR abs/1501.00436 (2015) - [i4]Sebastián Basterrech:
An Empirical Study of the L2-Boost technique with Echo State Networks. CoRR abs/1501.00503 (2015) - [i3]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 abs/1508.05367 (2015) - 2014
- [c14]Tomas Burianek, Sebastián Basterrech:
Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model. DATESO 2014: 35-46 - [c13]Sebastián Basterrech, Jan Janousek, Václav Snásel:
A Study of Random Neural Network Performance for Supervised Learning Tasks in CUDA. ECC (2) 2014: 459-468 - [c12]Sebastián Basterrech, Tomás Buriánek:
Solar Irradiance Estimation Using the Echo State Network and the Flexible Neural Tree. ECC (1) 2014: 475-484 - [c11]Sebastián Basterrech, Andrea Mesa:
Bagging Technique Using Temporal Expansion Functions. IBICA 2014: 395-404 - [c10]Francois Despaux, Sebastián Basterrech:
A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet. ISDA 2014: 7-12 - [c9]Sebastián Basterrech, Enrique Alba, Václav Snásel:
An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization. NaBIC 2014: 214-219 - 2013
- [c8]Sebastián Basterrech, Gerardo Rubino:
Echo State Queueing Network: A new reservoir computing learning tool. CCNC 2013: 118-123 - [c7]Sebastián Basterrech, Václav Snásel, Gerardo Rubino:
An Experimental Analysis of Reservoir Parameters of the Echo State Queueing Network Model. IBICA 2013: 13-22 - [c6]Sebastián Basterrech, Ladislav Zjavka, Lukás Prokop, Stanislav Misák:
Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks. ISDA 2013: 271-276 - [c5]Sebastián Basterrech:
An empirical study of L2-Boost with Echo State Networks. ISDA 2013: 295-300 - [c4]Sebastián Basterrech, Václav Snásel:
Time-series forecasting using Bagging techniques and reservoir computing. SoCPaR 2013: 146-151 - [c3]Sebastián Basterrech, Gerardo Rubino:
A more powerful random neural network model in supervised learning applications. SoCPaR 2013: 201-206 - [c2]Sebastián Basterrech, Václav Snásel:
Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques. SoICT 2013: 53-60 - 2012
- [i2]Sebastián Basterrech, Gerardo Rubino:
Echo State Queueing Network: a new reservoir computing learning tool. CoRR abs/1212.6276 (2012) - [i1]Sebastián Basterrech, Gerardo Rubino, Martín Varela:
Single-sided Real-time PESQ Score Estimation. CoRR abs/1212.6350 (2012) - 2011
- [j1]Sebastián Basterrech, Samir Mohamed, Gerardo Rubino, Mostafa A. Soliman:
Levenberg - Marquardt Training Algorithms for Random Neural Networks. Comput. J. 54(1): 125-135 (2011) - [c1]Sebastián Basterrech, Colin Fyfe, Gerardo Rubino:
Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. ISDA 2011: 94-99
Coauthor Index
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