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. 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., 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

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

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

Arriandiaga, A., Portillo, E., Sánchez, J.A., Cabanes, I., Pombo, I. Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process, Sensors, vol. 14, No. 5, pp. 8756-8778, 2014. JCR Impact Factor: 2.245 (2014). Quartile: Q1. http://www.mdpi.com/1424-8220/14/5/8756