Navajas, A., Manjarres, D., Portillo, E., Landa, I. A Hyper-heuristic Inspired Approach for Automatic Failure Prediction in the Context of Industry 4.0., Computers & Industrial Engineering, vol. 171, No. 108381, pp. 1-19, 2022. https://doi.org/10.1016/j.cie.2022.108381

Lorenzo, I., Brull, A., Cabanes, I., Mancisidor, A., Zubizarreta, A., Portillo, E. Dispositivo Para Dispensado de Desifectante, Application number: ES 1 256 494U 19/11/2020. https://worldwide.espacenet.com/patent/search/family/073290395/ publica- tion/ ES1256494U?q=pn %3DES1256494U

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.

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. 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. 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

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. 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. 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. https://doi.org/10.1016/j.eswa.2021.115424