Project Publications

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. 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
Otamendi, J., Zubizarreta, A., Portillo, E. Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach, Neural Computing and Applications, pp. 1-17, 2023. JCR Impact Factor: 6.0 (2022). Quartile: Q2. https://doi.org/10.1007/s00521-023-08601-1
Lucas, S., Brull, A., Portillo, E., Zubizarreta, A., Cabanes, I. Aplicación de técnicas de aprendizaje automático para la clasificación de actividades mediante una muleta inteligente para esclerosis múltiple, XLII Jornadas de Automática, Castellón, 2021. ISBN: 978-84-9749-804-3. https://doi.org/10.17979/spudc.9788497498043.083
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