Niño, I., Portillo, E., Landa, I., Manjarres, D. Normalisation influence on ANN-based models performance: a new proposal for features' contribution analysis, IEEE Access, vol. 9, pp. 125462-125477, 2021. JCR Impact Factor: 3.476 (2021). Quartile: 2. https://doi.org/10.1109/ACCESS.2021.3110647

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

Brull, A., Lucas, S., Zubizarreta, A., Cabanes, I., Portillo, E., Rodriguez, A. A Machine Learning Approach to Perform Physical Activity Classification Using a Sensorized Crutch Tip, IEEE Access , vol. 8, pp. 210023 - 210034, 2020. JCR Impact Factor: 3.367 (2020). Quartile: Q2. https://doi.org/10.1109/ACCESS.2020.3039885

Navajas, A., Manjarres, D., Portillo, E., Landa, I. A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), Sevilla, España, 2019. https://link.springer.com/chapter/10.1007/978-3-030-20055-8_17

Niño, I., Landa, I., Portillo, E., Manjarres, D. Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy , 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), Sevilla, España, 2019. https://link.springer.com/chapter/10.1007/978-3-030-20055-8_2

Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I., Zubizarreta, A. Aplicación de técnicas de agrupamiento a corredores de resistencia para la estimación del umbral de lactato, Proceedings of the XL Jornadas de Automática, Ferrol, A Coruña., 2019. ISBN: 978-84-9749-716-9. Best Conference Paper Award in Bioengineering. https://doi.org/10.17979/spudc.9788497497169

Mancisidor, A., Cabanes, I., Zubizarreta, A., Brull, A., Portillo, E. Algoritmo de Control Basado en Modelo Cinemático y Dinámico de un Dispositivo Robótico para Terapias de Rehabilitación, Jornadas Nacionales de Robótica , Alicante, España, 2019. ISBN: 978-84-09-12133-5 .

Sesar, I., Zubizarreta, A., Cabanes, I., Portillo, E., Torres, J., Rodriguez, A. Instrumented Crutch Tip for Monitoring Force and Crutch Pitch angle, Sensors, vol. 19, No. 3, pp. 2944, 2019. JCR Impact Factor: 3.275 (2019). Quartile: Q1. https://doi.org/10.3390/s19132944

Etxegarai, U., Portillo, E., Irazusta, J., Arriandiaga, A., Cabanes, I. Estimation of lactate threshold with machine learning techniques in recreational runners, Applied Soft Computing, vol. 63, pp. 181-196, 2018. JCR Impact Factor: 4.873 (2018). Quartile: Q1. https://doi.org/10.1016/j.asoc.2017.11.036

Conde, A., Arriandiaga, A., Sánchez, J.A., Portillo, E., Cabanes, I. High-accuracy Wire Electrical Discharge Machining using Artificial Neural Networks and optimization techniques, Robotics and Computer-Integrated Manufacturing, vol. 49, pp. 24-38, 2018. JCR Impact Factor: 4.392 (2018). Quartile: 1. https://doi.org/10.1016/j.rcim.2017.05.010

Zubizarreta, A., Larrea, M., Irigoyen, E., Cabanes, I., Portillo, E. Real Time Direct Kinematic Problem Computation of the 3PRS robot Using Neural Networks, Neurocomputing, vol. 271, No. 3, pp. 104-114, 2018. JCR Impact Factor: 4.072 (2018). Quartile: Q1. https://doi.org/10.1016/j.neucom.2017.02.098