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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