Cabanes, I., Mancisidor, A., Vermander, P., Perez, N., Brull, A., Portillo, E., Zubizarreta, A., Pérez, C. Dispositivo sensor para monitorización postural de sedestación de un usuario, Application number: P202130502 (patent pending) 02/06/2021.

Rodriguez, A., Zubizarreta, A., Cabanes, I., Brull, A., Sesar, I., Torres, J., Portillo, E., Espin, A., Santisteban, L. Dispositivo Sensor para monitorizar la marcha, Application number: P202130682 (patent pending) 16/07/2021.

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

Niño, I., Landa, I., Portillo, E., Manjarres, D. Influence of Statistical Feature Normalisation Methods on K-Nearest Neighbours and K-Means in the Context of Industry 4.0., Engineering Applications of Artificial Intelligence, vol. 111, No. 104807, pp. 1-20, 2022. JCR Impact Factor: 8.0 (2022). Quartile: 1. https://doi.org/10.1016/j.engappai.2022.104807

Etxegarai, U., Portillo, E., Irazusta, J., Koefoed, L., Kasabov, N. A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners, European Journal of Operational Research, vol. 291, No. 2, pp. 427-437, 2021. JCR Impact Factor: 6.363 (2021). Quartile: 1. https://doi.org/10.1016/j.ejor.2019.08.023

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

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

Niño, I., Landa, I., Portillo, E., Manjarres, D. Soft-sensor design for vacuum distillation bottom product penetration classification, Applied Soft Computing, vol. 102, pp. 1-10, 2021. JCR Impact Factor: 8.263 (2021). Quartile: 1. https://doi.org/10.1016/j.asoc.2020.107072

Brull, A., Lucas, S., Zubizarreta, A., Portillo, E., Cabanes, I. A random forest based methodology for the development of an intelligent classifier of physical activities, Converging Clinical and Engineering Research on Neurorehabilitation IV. Springer Book: Biosystems & Biorobotics, Biomedical Engineering, Vol. 28, pp. 85-89, Springer, 2021. https://link.springer.com/chapter/10.1007/978-3-030-70316-5_14

Niño, I., Landa, I., Manjarres, D., Portillo, E., Orbe, L. Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column, Sensors, vol. 21, No. 12, pp. 3991, 2021. JCR Impact Factor: 3.847 (2021). Quartile: 2. https://doi.org/10.3390/s21123991

Niño, I., Manjarres, D., Landa, I., Portillo, E. Feature weighting methods: A review, Experts Systems with Applications, vol. 184, pp. 115424, 2021. JCR Impact Factor: 8.665 (2021). Quartile: 1. https://doi.org/10.1016/j.eswa.2021.115424