| Levenberg—Marquardt Training Algorithms for Random Neural Networks S Basterrech, S Mohammed, G Rubino, M Soliman The Computer Journal 54 (1), 125-135, 2011 | 87 | 2011 |
| Neural networks for emotion recognition based on eye tracking data C Aracena, S Basterrech, V Snáel, J Velásquez 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2632-2637, 2015 | 75 | 2015 |
| An experimental analysis of the echo state network initialization using the particle swarm optimization S Basterrech, E Alba, V Snášel 2014 sixth world congress on nature and biologically inspired computing …, 2014 | 38 | 2014 |
| Echo State Queueing Network: A new Reservoir Computing learning tool S Basterrech, G Rubino Consumer Communications and Networking Conference (CCNC), 2013 IEEE, 118 - 123, 2013 | 35 | 2013 |
| Self-organizing Maps and Scale-invariant Maps in Echo State Networks S Basterrech, C Fyfe, G Rubino Intelligent Systems Design and Applications (ISDA), 2011 11th International …, 2011 | 34 | 2011 |
| Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property S Basterrech 2017 International Joint Conference on Neural Networks (IJCNN),, 2017 | 20 | 2017 |
| Random neural network model for supervised learning problems S Basterrech, G Rubino Neural Network World 25 (5), 457-499, 2015 | 15* | 2015 |
| A nature-inspired biomarker for mental concentration using a single-channel EEG S Basterrech, P Krömer Neural Computing and Applications 32 (12), 7941-7956, 2020 | 14 | 2020 |
| Echo state queueing networks: a combination of reservoir computing and random neural networks S Basterrech, G Rubino Probability in the Engineering and Informational Sciences 31 (4), 457-476, 2017 | 13 | 2017 |
| Nature-inspired algorithms for selecting EEG sources for motor imagery based BCI S Basterrech, P Bobrov, A Frolov, D Husek Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | 12 | 2015 |
| Optimal design of neural tree for solar power prediction S Basterrech, L Prokop, T Buriánek, S Mišák Proceedings of the 2014 15th International Scientific Conference on Electric …, 2014 | 11 | 2014 |
| Initializing Echo State Networks with topographic maps S Basterrech, C Fyfe, G Rubino Second International Conference on Morphological Computation (ICMC 2011 …, 2011 | 11 | 2011 |
| Tracking changes using Kullback-Leibler divergence for the continual learning S Basterrech, M Woźniak 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 10 | 2022 |
| Hidden Markov models for gene sequence classification: Classifying the VSG gene in the Trypanosoma brucei genome A Mesa, S Basterrech, G Guerberoff, F Alvarez-Valin Pattern Analysis and Applications 19, 793-805, 2016 | 10 | 2016 |
| Multi-trip vehicle routing problem with time windows and heterogeneous fleet F Despaux, S Basterrech International Journal of Computer Information Systems and Industrial …, 2016 | 10 | 2016 |
| A study of the multi-trip vehicle routing problem with time windows and heterogeneous fleet F Despaux, S Basterrech 2014 14th International Conference on Intelligent Systems Design and …, 2014 | 10 | 2014 |
| Irradiance prediction using echo state queueing networks and differential polynomial neural networks S Basterrech, L Zjavka, L Prokop, S Mišák 2013 13th International Conference on Intellient Systems Design and …, 2013 | 9 | 2013 |
| Single-sided real-time PESQ score estimation S Basterrech, G Rubino, M Varela Measurement of Speech, Audio, and Video Quality in Networks (MESAQIN2009), 94-99, 2009 | 9 | 2009 |
| Initializing reservoirs with exhibitory and inhibitory signals using unsupervised learning techniques S Basterrech, V Snášel ACM - Symposium on Information and Communication Technology, 53-60, 2013 | 8 | 2013 |
| Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction S Basterrech, G Rubino Applied Soft Computing 144, 110463, 2023 | 7 | 2023 |
Gerardo RubinoInria/Irisa在 inria.fr 的电子邮件经过验证
