A. Arriandiaga

A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks

Itziar Cabanes, Eva Portillo, José Antonio Sánchez, 2015, Neural Computing and Applications.

High-accuracy wire electrical discharge machining using artificial neural networks and optimization techniques

Itziar Cabanes, Eva Portillo, S. Plaza, 2018 .

Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories

Chiara Bartolozzi, Marco Monforte, Arren Glover, 2020, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Estimation of lactate threshold with machine learning techniques in recreational runners

Itziar Cabanes, Eva Portillo, Ander Arriandiaga, 2018, Appl. Soft Comput..

Audio-Visual Target Speaker Enhancement on Multi-Talker Environment Using Event-Driven Cameras pdf

Chiara Bartolozzi, Luca Pasa, Leonardo Badino, 2019, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Audio-Visual Target Speaker Enhancement on Multi-Talker Environment Using Event-Driven Cameras

C. Bartolozzi, Leonardo Badino, Giovanni Morrone, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Unexpected Event Prediction in Wire Electrical Discharge Machining Using Deep Learning Techniques

Jun Wang, J. A. Sánchez, Soraya Plaza, 2018, Materials.

Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs

Asier Zubizarreta, Itziar Cabanes, Eva Portillo, 2017, Appl. Soft Comput..

Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding

I. Cabanes, A. Zubizarreta, E. Portillo, 2016, Neural Computing and Applications.

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process

Itziar Cabanes, Eva Portillo, J. A. Sánchez, 2014, Sensors.