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

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