Lucas, S., Portillo, E. Application of the Optimised Pulse Width Modulation (PWM) Based Encoding-Decoding Algorithm for Forecasting with Spiking Neural Networks (SNNs), Engineering Proceedings (ITISE CONFERENCE), Gran Canaria, Spain., 2024. https://doi.org/10.3390/ engproc2024068041

Lucas, S., Portillo, E., Cabanes, I. Optimización y extensión del algoritmo de codificación-decodificación basado en PWM para Redes Neuronales de Impulsos, Revista Iberoamericana de Automática e Informática industrial (RIAI), pp. 1-12, 2024. JCR Impact Factor: 1.1 (2024). Quartile: 4. https://doi.org/10.4995/riai.2024.20836

Lucas, S., Portillo, E. Methodology based on spiking neural networks for univariate time-series forecasting, Neural Networks, vol. 173, No. 106171, pp. 1-22, 2024. JCR Impact Factor: 7.8 (2024). Quartile: Q1. https://doi.org/10.1016/j.neunet.2024.106171

Lucas, S., Portillo, E., Zubizarreta, A., Cabanes, I. Entrenamiento supervisado de redes neuronales de impulsos, XLIII Jornadas de Automática, Logroño, 2022. ISBN: 978-84-9749-841-8. https://doi.org/10.17979/spudc.9788497498418

Lucas, S., Arriandiaga, A., Portillo, E., Zubizarreta, A., Cabanes, I. Compresión de datos de tipo real basada en un novedoso algoritmo de codificación para redes neuronales de impulsos, XLII Jornadas de Automática, Castellón, España, 2021. ISBN: 978-84-9749-804-3. https://doi.org/10.17979/spudc.9788497498043.175

Arriandiaga, A., Portillo, E., Espinosa-Ramos, I., Kasabov, N. Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data, IEEE Transactions on Neural Networks and Learning Systems , vol. 31, No. 10, pp. 3920-3931, 2020. JCR Impact Factor: 10.45 (2020). Quartile: 1. https://doi.org/10.1109/TNNLS.2019.2947380