Eva Portillo Pérez :: Publications

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
Etxegarai, U., Insunza, A., Santos-Concejero, J., Gil, S.M., Portillo, E., Irazusta, J. Prediction of performance by heart rate-derived parameters in recreational runners, Journal of Sports Sciences, vol. 36, No. 18, pp. 2129-2137, 2018. JCR Impact Factor: 2.811 (2018). Quartile: 1. https://doi.org/10.1080/02640414.2018.1442185
Mancisidor, A., Zubizarreta, A., Cabanes, I., Portillo, E., Hyung, J. Virtual Sensors for Advanced Controllers in Rehabilitation Robotics, Sensors, vol. 18, No. 3, pp. 785 - 800 , 2018. JCR Impact Factor: 3.031 (2018). Quartile: Q1. https://doi.org/10.3390/s18030785
Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I. An accessible lactate threshold assessment tool to support endurance athletes' trainings, 29th European Conference on Operational Research (EURO 2018), Valencia, 2018. https://www.euro-online.org/conf/euro29/treat_abstract?paperid=2068
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