On the application of recurrent neural network techniques for detecting instability trends in an industrial process. - Eva Portillo; Marga Marcos; Itziar Cabanes; Asier Zubizarreta (ETFA, 2007)

Design of a Virtual-Instrumentation System for a Machining Process. - Eva Portillo; Itziar Cabanes; Marga Marcos; Dario Orive; José Antonio Sánchez (IEEE Trans. Instrum. Meas., 2007)

Artificial Neural Networks for detecting instability trends in different workpiece thicknesses in a machining process. - Eva Portillo; Marga Marcos; Itziar Cabanes; Asier Zubizarreta; José Antonio Sánchez (ACC, 2008)

Redundant dynamic modelling of the 3RRR parallel robot for control error reduction. - Asier Zubizarreta; Itziar Cabanes; Marga Marcos; Charles Pinto; Eva Portillo (ECC, 2009)

Recurrent ANN for monitoring degraded behaviours in a range of workpiece thicknesses. - Eva Portillo; Marga Marcos; Itziar Cabanes; Asier Zubizarreta (Eng. Appl. Artif. Intell., 2009)

Extended CTC control for parallel robots. - Asier Zubizarreta; Itziar Cabanes; Marga Marcos; Charles Pinto; Eva Portillo (ETFA, 2010)

A Case Study of a Flexible Software Tool in the Drilling Process. - Eva Portillo; Itziar Cabanes; José Antonio Sánchez; Dario Orive; Naiara Ortega; Marga Marcos (CESCIT, 2012)

Towards an Infrastructure Model for Composing and Reconfiguring Cyber-Physical Systems. - Isidro Calvo; Eva Portillo; Oier García de Albéniz; Aintzane Armentia; Marga Marcos; Elisabet Estévez-Estévez; Ricardo Marau; Luís Almeida 001; Paulo Pedreiras (UCAmI, 2012)

A computer assistant for monitoring tool performance during the drilling process. - Eva Portillo; Itziar Cabanes; José Antonio Sánchez; Dario Orive; Naiara Ortega; Marga Marcos (Int. J. Comput. Integr. Manuf., 2012)

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process. - Ander Arriandiaga; Eva Portillo; José Antonio Sánchez; Itziar Cabanes; Iñigo Pombo (Sensors, 2014)

On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks. - Ander Arriandiaga; Eva Portillo; José Antonio Sánchez; Itziar Cabanes (EANN, 2015)

A stable model-based control scheme for parallel robots using additional sensors. - Pablo Bengoa; Asier Zubizarreta; Itziar Cabanes; Aitziber Mancisidor; Eva Portillo (IROS, 2015)

A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks. - Ander Arriandiaga; Eva Portillo; José Antonio Sánchez; Itziar Cabanes; Iñigo Pombo (Neural Comput. Appl., 2016)

Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs. - Ander Arriandiaga; Eva Portillo; José Antonio Sánchez; Itziar Cabanes; Asier Zubizarreta (Appl. Soft Comput., 2017)

Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding. - Ander Arriandiaga; Eva Portillo; José Antonio Sánchez; Itziar Cabanes; Asier Zubizarreta (Neural Comput. Appl., 2017)

Estimation of lactate threshold with machine learning techniques in recreational runners. - Urtats Etxegarai; Eva Portillo; Jon Irazusta; Ander Arriandiaga; Itziar Cabanes (Appl. Soft Comput., 2018)

Real time direct kinematic problem computation of the 3PRS robot using neural networks. - Asier Zubizarreta; Mikel Larrea; Eloy Irigoyen; Itziar Cabanes; Eva Portillo (Neurocomputing, 2018)

Virtual Sensors for Advanced Controllers in Rehabilitation Robotics. - Aitziber Mancisidor; Asier Zubizarreta; Itziar Cabanes; Eva Portillo; Je Hyung Jung (Sensors, 2018)

A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data. - Adriana Navajas-Guerrero; Diana Manjarres; Eva Portillo; Itziar Landa-Torres (SOCO, 2019)

Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy. - Iratxe Niño-Adan; Itziar Landa-Torres; Eva Portillo; Diana Manjarres (SOCO, 2019)

Instrumented Crutch Tip for Monitoring Force and Crutch Pitch Angle. - Iñigo Sesar Gil; Asier Zubizarreta; Itziar Cabanes; Eva Portillo; Jon Torres-Unda; Ana Rodriguez (Sensors, 2019)

A Machine Learning Approach to Perform Physical Activity Classification Using a Sensorized Crutch Tip. - Asier Brull Mesanza; Sergio Lucas; Asier Zubizarreta; Itziar Cabanes; Eva Portillo; Ana Rodriguez-Larrad (IEEE Access, 2020)

Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data. - Ander Arriandiaga; Eva Portillo; Josafath Israel Espinosa Ramos; Nikola K. Kasabov (IEEE Trans. Neural Networks Learn. Syst., 2020)

Normalization Influence on ANN-Based Models Performance: A New Proposal for Features' Contribution Analysis. - Iratxe Niño-Adan; Eva Portillo; Itziar Landa-Torres; Diana Manjarres (IEEE Access, 2021)

Soft-sensor design for vacuum distillation bottom product penetration classification. - Iratxe Niño-Adan; Itziar Landa-Torres; Diana Manjarres; Eva Portillo (Appl. Soft Comput., 2021)

A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. - Urtats Etxegarai; Eva Portillo; Jon Irazusta; Lucien Koefoed; Nikola K. Kasabov (Eur. J. Oper. Res., 2021)

Feature weighting methods: A review. - Iratxe Niño-Adan; Diana Manjarres; Itziar Landa-Torres; Eva Portillo (Expert Syst. Appl., 2021)

Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. - Iratxe Niño-Adan; Itziar Landa-Torres; Diana Manjarres; Eva Portillo; Lucía Orbe (Sensors, 2021)

A hyper-heuristic inspired approach for automatic failure prediction in the context of industry 4.0. - Adriana Navajas-Guerrero; Diana Manjarres; Eva Portillo; Itziar Landa-Torres (Comput. Ind. Eng., 2022)

Influence of statistical feature normalisation methods on K-Nearest Neighbours and K-Means in the context of industry 4.0. - Iratxe Niño-Adan; Itziar Landa-Torres; Eva Portillo; Diana Manjarres (Eng. Appl. Artif. Intell., 2022)

Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach. - Janire Otamendi; Asier Zubizarreta; Eva Portillo (Neural Comput. Appl., 2023)

PLAHS: A Partial Labelling Autonomous Hyper-heuristic System for Industry 4.0 with application on classification of cold stamping process. - Adriana Navajas-Guerrero; Eva Portillo; Diana Manjarres (Appl. Soft Comput., 2023)

Methodology based on spiking neural networks for univariate time-series forecasting. - Sergio Lucas; Eva Portillo (Neural Networks, 2024)