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

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

Flores, J., , I., Cabanes, I. Thermal monitoring and control by infrared camera in the manufacture of parts with laser metal deposition, Dyna, vol. 95, No. 4, pp. 9379, 2020. JCR Impact Factor: 1.113 (2020). Quartile: Q4. http://dx.doi.org/10.6036/9379

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

Parra, A., Zubizarreta, A., Perez, J. A comparative study of the effect of Intelligent Control based Torque Vectoring Systems on EVs with different powertrain architectures, 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, Nueva Zelanda, 2019. ISBN: 978-1-5386-7023-1. https://doi.org/10.1109/ITSC.2019.8917381

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