| 2025 | IJCNN | An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures. | Pablo Rodrguez-Bocca, Guillermo Pereira, Diego Kiedanski, Soledad Collazo, Sebastin Basterrech, Gerardo Rubino |
| 2024 | ESANN | Exploring Self-Organizing Maps for Addressing Semantic Impairments. | Jorge Graneri, Sebastin Basterrech, Gerardo Rubino, Eduardo Mizraji |
| 2024 | IJCNN | A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. | Sebastin Basterrech, Line Harder Clemmensen, Gerardo Rubino |
| 2023 | DSAA | A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. | Sebastin Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak |
| 2022 | IJCNN | Evolutionary Echo State Network: evolving reservoirs in the Fourier space. | Sebastin Basterrech, Gerardo Rubino |
| 2022 | ISDA | Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. | Sebastin Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak |
| 2022 | SMC | Tracking changes using Kullback-Leibler divergence for the continual learning. | Sebastin Basterrech, Michal Wozniak |
| 2021 | GECCO | Evolving reservoir weights in the frequency domain. | Sebastin Basterrech, Gerardo Rubino |
| 2019 | ISNN | Pattern Matching in Sequential Data Using Reservoir Projections. | Sebastin Basterrech |
| 2018 | CEC | A Nature-inspired System for Mental State Recognition. | Hikmat Dashdamirov, Sebastin Basterrech, Pavel Krmer |
| 2018 | ESANN | Quantifying the Reservoir Quality using Dimensionality Reduction Techniques. | Toms Burinek, Sebastin Basterrech |
| 2018 | ESANN | Estimation of the Human Concentration using Echo State Networks. | Hikmat Dashdamirov, Sebastin Basterrech |
| 2017 | IJCNN | Empirical analysis of the necessary and sufficient conditions of the echo state property. | Sebastin Basterrech |
| 2016 | ICAISC | Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing. | Sebastin Basterrech |
| 2015 | HIS | Experimental Analysis of a Hybrid Reservoir Computing Technique. | Sebastin Basterrech, Gerardo Rubino, Vclav Snsel |
| 2015 | ICAISC | Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI. | Sebastin Basterrech, Pavel Bobrov, Alexander A. Frolov, Dusan Hsek |
| 2015 | SMC | Neural Networks for Emotion Recognition Based on Eye Tracking Data. | Claudio Aracena, Sebastin Basterrech, Vclav Snsel, Juan D. Velsquez |
| 2015 | SMC | Neural Signature of Efficiency Relations. | Sebastin Basterrech, Kei Ohnishi, Mario Kppen |
| 2014 | ISDA | A study of the Multi-Trip vehicle routing problem with time windows and heterogeneous fleet. | Francois Despaux, Sebastin Basterrech |
| 2013 | ISDA | An empirical study of L2-Boost with Echo State Networks. | Sebastin Basterrech |
| 2013 | ISDA | Irradiance prediction using Echo State Queueing Networks and Differential polynomial Neural Networks. | Sebastin Basterrech, Ladislav Zjavka, Luks Prokop, Stanislav Misk |
| 2011 | ISDA | Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks. | Sebastin Basterrech, Colin Fyfe, Gerardo Rubino |