Niño, I., Landa, I., Portillo, E., Manjarres, D. Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy , 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_2

Conde, A., Arriandiaga, A., Sánchez, J.A., Portillo, E., Cabanes, I. High-accuracy Wire Electrical Discharge Machining using Artificial Neural Networks and optimization techniques, Robotics and Computer-Integrated Manufacturing, vol. 49, pp. 24-38, 2018. JCR Impact Factor: 4.392 (2018). Quartile: 1. https://doi.org/10.1016/j.rcim.2017.05.010

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Zubizarreta, A. Recurrent ANN based modelling of the dynamic evolution of the Surface Roughness in Grinding, Neural Computing and Applications, vol. 28, No. 6, pp. 1293-1307, 2017. JCR Impact Factor: 4.215 (2017). Quartile: 1. https://doi.org/10.1007/s00521-016-2568-1

Pombo, I., Cearsolo, X., Sánchez, J.A., Cabanes, I. Experimental and numerical analysis of thermal phenomena in the wear of single point diamond dressing tools, Journal of Manufacturing Processes , vol. 27, pp. 145-157, 2017. JCR Impact Factor: 2.809 (2017). Quartile: 1. https://doi.org/10.1016/j.jmapro.2017.04.001

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Zubizarreta, A. Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs, Applied Soft Computing, vol. 61, pp. 211-221, 2017. JCR Impact Factor: 3.907 (2017). Quartile: Q1. https://doi.org/10.1016/j.asoc.2017.07.048

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Pombo, I. A new approach for dynamic modelling of energy consumption in the grinding process using Recurrent Neural Networks, Neural Computing and Applications, vol. 27, No. 6, pp. 1577-1592, 2016. JCR Impact Factor: 1.569 (2016). Quartile: Q2. https://doi.org/10.1007/s00521-015-1957-1

Cearsolo, X., Cabanes, I., Sánchez, J.A., Pombo, I., Portillo, E. Dry-dressing for ecological grinding, Journal of Cleaner Production, vol. 135, pp. 633-643, 2016. JCR Impact Factor: 5.715 (2016). Quartile: Q1. http://dx.doi.org/10.1016/j.jclepro.2016.06.117

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I. On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks, Communications in Computer and Information Science. Proc. of Engineering Applications of Neural Networks, Rhodes, Greece, 2015. ISBN: 978-3-319-23981-1; 978-3-319-23983-5 (eBook). http://dx.doi.org/10.1007/978-3-319-23983-5_3