| High-accuracy wire electrical discharge machining using artificial neural networks and optimization techniques A Conde, A Arriandiaga, JA Sanchez, E Portillo, S Plaza, I Cabanes Robotics and computer-integrated manufacturing 49, 24-38, 2018 | 72 | 2018 |
| Unexpected event prediction in wire electrical discharge machining using deep learning techniques JA Sanchez, A Conde, A Arriandiaga, J Wang, S Plaza Materials 11 (7), 1100, 2018 | 31 | 2018 |
| Virtual sensors for on-line wheel wear and part roughness measurement in the grinding process A Arriandiaga, E Portillo, JA Sánchez, I Cabanes, I Pombo Sensors 14 (5), 8756-8778, 2014 | 28 | 2014 |
| A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks A Arriandiaga, E Portillo, JA Sánchez, I Cabanes, I Pombo Neural computing and applications 27, 1577-1592, 2016 | 21 | 2016 |
| Estimation of lactate threshold with machine learning techniques in recreational runners U Etxegarai, E Portillo, J Irazusta, A Arriandiaga, I Cabanes Applied Soft Computing 63, 181-196, 2018 | 17 | 2018 |
| Exploiting event cameras for spatio-temporal prediction of fast-changing trajectories M Monforte, A Arriandiaga, A Glover, C Bartolozzi 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 14 | 2020 |
| Audio-visual target speaker enhancement on multi-talker environment using event-driven cameras A Arriandiaga, G Morrone, L Pasa, L Badino, C Bartolozzi 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 13 | 2021 |
| Pulsewidth modulation-based algorithm for spike phase encoding and decoding of time-dependent analog data A Arriandiaga, E Portillo, JI Espinosa-Ramos, NK Kasabov IEEE Transactions on Neural Networks and Learning Systems 31 (10), 3920-3931, 2019 | 11 | 2019 |
| Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs A Arriandiaga, E Portillo, JA Sánchez, I Cabanes, A Zubizarreta Applied Soft Computing 61, 211-221, 2017 | 8 | 2017 |
| Where and when: event-based spatiotemporal trajectory prediction from the iCub’s point-of-view M Monforte, A Arriandiaga, A Glover, C Bartolozzi 2020 IEEE International Conference on Robotics and Automation (ICRA), 9521-9527, 2020 | 7 | 2020 |
| Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding A Arriandiaga, E Portillo, JA Sánchez, I Cabanes, A Zubizarreta Neural Computing and Applications 28, 1293-1307, 2017 | 7 | 2017 |
| Compresión de datos de tipo real basada en un novedoso algoritmo de codificación para redes neuronales de impulsos S Lucas, A Arriandiaga, E Portillo, A Zubizarreta, I Cabanes XLII Jornadas de Automática, 175-182, 2021 | 1 | 2021 |
| On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks A Arriandiaga, E Portillo, JA Sánchez, I Cabanes Engineering Applications of Neural Networks: 16th International Conference …, 2015 | | 2015 |
| MODELADO DE LA ENERGÍA ESPECÍFICA DE CORTE EN EL RECTIFICADO MEDIANTE REDES NEURONALES RECURRENTES A Arriandiaga, E Portillo, JA Sánchez, I Cabanes, A Zubizarreta | | |
