Eva Portillo Pérez :: Publications

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
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