Sebastián Basterrech

60 papers B 12C 5Misc 1Journal 22Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures. IJCNN Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski, Soledad Collazo, Sebastián Basterrech, Gerardo Rubino
2025	J	`jnl`	An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures. CoRR Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski, Soledad Collazo, Sebastián Basterrech, Gerardo Rubino
2025	J	`jnl`	Physics-Informed Mixture Models and Surrogate Models for Precision Additive Manufacturing. CoRR Sebastián Basterrech, Shuo Shan, Debabrata Adhikari, Sankhya Mohanty
2024	B	`conf`	A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. IJCNN Sebastián Basterrech, Line Harder Clemmensen, Gerardo Rubino
2024	J	`jnl`	A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. CoRR Sebastián Basterrech, Line H. Clemmensen, Gerardo Rubino
2024	J	`jnl`	A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism. Knowl. Based Syst. Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak
2024	B	`conf`	Exploring Self-Organizing Maps for Addressing Semantic Impairments. ESANN Jorge Graneri, Sebastián Basterrech, Gerardo Rubino, Eduardo Mizraji
2024	—	`conf`	Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation. DELTA Sebastián Basterrech
2024	J	`jnl`	Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation. CoRR Sebastián Basterrech
2023	B	`conf`	A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. DSAA Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak
2023	J	`jnl`	A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism. CoRR Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak
2023	J	`jnl`	Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction. Appl. Soft Comput. Sebastián Basterrech, Gerardo Rubino
2023	J	`jnl`	Improving the flexible neural tree model with swarm intelligence. Int. J. Adv. Intell. Paradigms Tomás Buriánek, Sebastián Basterrech
2022	B	`conf`	Evolutionary Echo State Network: evolving reservoirs in the Fourier space. IJCNN Sebastián Basterrech, Gerardo Rubino
2022	J	`jnl`	Evolutionary Echo State Network: evolving reservoirs in the Fourier space. CoRR Sebastián Basterrech, Gerardo Rubino
2022	—	`conf`	Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. ISDA (3) Sebastián Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak
2022	J	`jnl`	Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms. CoRR Sebastián Basterrech, Tarun Kumar Sharma
2022	B	`conf`	Tracking changes using Kullback-Leibler divergence for the continual learning. SMC Sebastián Basterrech, Michal Wozniak
2022	J	`jnl`	Tracking changes using Kullback-Leibler divergence for the continual learning. CoRR Sebastián Basterrech, Michal Wozniak
2021	—	`conf`	Evolving reservoir weights in the frequency domain. GECCO Companion Sebastián Basterrech, Gerardo Rubino
2020	J	`jnl`	A nature-inspired biomarker for mental concentration using a single-channel EEG. Neural Comput. Appl. Sebastián Basterrech, Pavel Krömer
2019	—	`conf`	Pattern Matching in Sequential Data Using Reservoir Projections. ISNN (1) Sebastián Basterrech
2018	B	`conf`	A Nature-inspired System for Mental State Recognition. CEC Hikmat Dashdamirov, Sebastián Basterrech, Pavel Krömer
2018	—	`conf`	Analysis of Tensor-Based Image Segmentation Using Echo State Networks. MESAS Charles Donkor, Emmanuel Sam, Sebastián Basterrech
2018	B	`conf`	Estimation of the Human Concentration using Echo State Networks. ESANN Hikmat Dashdamirov, Sebastián Basterrech
2018	J	`jnl`	Prediction of Facebook Post Metrics using Machine Learning. CoRR Emmanuel Sam, Sergey Yarushev, Sebastián Basterrech, Alexey N. Averkin
2018	B	`conf`	Quantifying the Reservoir Quality using Dimensionality Reduction Techniques. ESANN Tomás Buriánek, Sebastián Basterrech
2017	J	`jnl`	Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property. CoRR Sebastián Basterrech
2017	B	`conf`	Empirical analysis of the necessary and sufficient conditions of the echo state property. IJCNN Sebastián Basterrech
2016	J	`jnl`	A Tutorial about Random Neural Networks in Supervised Learning. CoRR Sebastián Basterrech, Gerardo Rubino
2016	—	`conf`	Estimating Human Activities from Smartwatches with Feedforward Neural Networks. ECC Sebastián Basterrech
2016	—	`conf`	Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing. ICAISC (1) Sebastián Basterrech
2016	J	`jnl`	Hidden Markov models for gene sequence classification - Classifying the VSG gene in the Trypanosoma brucei genome. Pattern Anal. Appl. Andrea Mesa, Sebastián Basterrech, Gustavo Guerberoff, Fernando Alvarez-Valin
2016	—	`conf`	Temporal Learning Using Echo State Network for Human Activity Recognition. ENIC Sebastián Basterrech, Varun Kumar Ojha
2015	J	`jnl`	An Empirical Study of the L2-Boost technique with Echo State Networks. CoRR Sebastián Basterrech
2015	J	`jnl`	An Experimental Analysis of the Echo State Network Initialization Using the Particle Swarm Optimization. CoRR Sebastián Basterrech, Enrique Alba, Václav Snásel
2015	C	`conf`	Experimental Analysis of a Hybrid Reservoir Computing Technique. HIS Sebastián Basterrech, Gerardo Rubino, Václav Snásel
2015	—	`conf`	Generalized Linear Models Applied for Skin Identification in Image Processing. ECC Sebastián Basterrech, Andrea Mesa, Ngoc-Tu Dinh
2015	J	`jnl`	Hidden Markov Models for Gene Sequence Classification: Classifying the VSG gene in the Trypanosoma brucei Genome. CoRR Andrea Mesa, Sebastián Basterrech, Gustavo Guerberoff, Fernando Alvarez-Valin
2015	Misc	`conf`	Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI. ICAISC Sebastián Basterrech, Pavel Bobrov, Alexander A. Frolov, Dusan Húsek
2015	B	`conf`	Neural Networks for Emotion Recognition Based on Eye Tracking Data. SMC Claudio Aracena, Sebastián Basterrech, Václav Snásel, Juan D. Velásquez
2015	B	`conf`	Neural Signature of Efficiency Relations. SMC Sebastián Basterrech, Kei Ohnishi, Mario Köppen
2015	—	`conf`	Sensitivity analysis of echo state networks for forecasting pseudo-periodic time series. SoCPaR Sebastián Basterrech, Gerardo Rubino, Václav Snásel
2014	—	`conf`	A Study of Random Neural Network Performance for Supervised Learning Tasks in CUDA. ECC (2) Sebastián Basterrech, Jan Janousek, Václav Snásel
2014	C	`conf`	A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet. ISDA Francois Despaux, Sebastián Basterrech
2014	—	`conf`	An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization. NaBIC Sebastián Basterrech, Enrique Alba, Václav Snásel
2014	—	`conf`	Bagging Technique Using Temporal Expansion Functions. IBICA Sebastián Basterrech, Andrea Mesa
2014	—	`conf`	Performance Analysis of the Activation Neuron Function in the Flexible Neural Tree Model. DATESO Tomas Burianek, Sebastián Basterrech
2014	—	`conf`	Solar Irradiance Estimation Using the Echo State Network and the Flexible Neural Tree. ECC (1) Sebastián Basterrech, Tomás Buriánek
2013	—	`conf`	A more powerful random neural network model in supervised learning applications. SoCPaR Sebastián Basterrech, Gerardo Rubino
2013	—	`conf`	An Experimental Analysis of Reservoir Parameters of the Echo State Queueing Network Model. IBICA Sebastián Basterrech, Václav Snásel, Gerardo Rubino
2013	C	`conf`	An empirical study of L2-Boost with Echo State Networks. ISDA Sebastián Basterrech
2013	—	`conf`	Echo State Queueing Network: A new reservoir computing learning tool. CCNC Sebastián Basterrech, Gerardo Rubino
2013	—	`conf`	Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques. SoICT Sebastián Basterrech, Václav Snásel
2013	C	`conf`	Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks. ISDA Sebastián Basterrech, Ladislav Zjavka, Lukás Prokop, Stanislav Misák
2013	—	`conf`	Time-series forecasting using Bagging techniques and reservoir computing. SoCPaR Sebastián Basterrech, Václav Snásel
2012	J	`jnl`	Echo State Queueing Network: a new reservoir computing learning tool CoRR Sebastián Basterrech, Gerardo Rubino
2012	J	`jnl`	Single-sided Real-time PESQ Score Estimation CoRR Sebastián Basterrech, Gerardo Rubino, Martín Varela
2011	J	`jnl`	Levenberg - Marquardt Training Algorithms for Random Neural Networks. Comput. J. Sebastián Basterrech, Samir Mohamed, Gerardo Rubino, Mostafa A. Soliman
2011	C	`conf`	Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. ISDA Sebastián Basterrech, Colin Fyfe, Gerardo Rubino