Eva Portillo - RankMe

35 papers A 1C 4Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Vision Foundation Models in Agriculture: Toward Domain-Specific Adaptation for Weed Herbicide Trials Assessment. CoRR Leire Benito-Del-Valle, Artzai Picón, Daniel Mugica, Manuel Ramos, Eva Portillo, Javier Romero, Carlos Javier Jimenez, Ramón Navarra-Mestre
2024	J	`jnl`	Methodology based on spiking neural networks for univariate time-series forecasting. Neural Networks Sergio Lucas, Eva Portillo
2023	J	`jnl`	Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach. Neural Comput. Appl. Janire Otamendi, Asier Zubizarreta, Eva Portillo
2023	J	`jnl`	PLAHS: A Partial Labelling Autonomous Hyper-heuristic System for Industry 4.0 with application on classification of cold stamping process. Appl. Soft Comput. Adriana Navajas-Guerrero, Eva Portillo, Diana Manjarres
2022	J	`jnl`	A hyper-heuristic inspired approach for automatic failure prediction in the context of industry 4.0. Comput. Ind. Eng. Adriana Navajas-Guerrero, Diana Manjarres, Eva Portillo, Itziar Landa-Torres
2022	J	`jnl`	Influence of statistical feature normalisation methods on K-Nearest Neighbours and K-Means in the context of industry 4.0. Eng. Appl. Artif. Intell. Iratxe Niño-Adan, Itziar Landa-Torres, Eva Portillo, Diana Manjarres
2021	J	`jnl`	A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. Eur. J. Oper. Res. Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov
2021	J	`jnl`	Feature weighting methods: A review. Expert Syst. Appl. Iratxe Niño-Adan, Diana Manjarres, Itziar Landa-Torres, Eva Portillo
2021	J	`jnl`	Normalization Influence on ANN-Based Models Performance: A New Proposal for Features' Contribution Analysis. IEEE Access Iratxe Niño-Adan, Eva Portillo, Itziar Landa-Torres, Diana Manjarres
2021	J	`jnl`	Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. Sensors Iratxe Niño-Adan, Itziar Landa-Torres, Diana Manjarres, Eva Portillo, Lucía Orbe
2021	J	`jnl`	Soft-sensor design for vacuum distillation bottom product penetration classification. Appl. Soft Comput. Iratxe Niño-Adan, Itziar Landa-Torres, Diana Manjarres, Eva Portillo
2020	J	`jnl`	A Machine Learning Approach to Perform Physical Activity Classification Using a Sensorized Crutch Tip. IEEE Access Asier Brull Mesanza, Sergio Lucas, Asier Zubizarreta, Itziar Cabanes, Eva Portillo, Ana Rodriguez-Larrad
2020	J	`jnl`	Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data. IEEE Trans. Neural Networks Learn. Syst. Ander Arriandiaga, Eva Portillo, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
2019	—	`conf`	A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data. SOCO Adriana Navajas-Guerrero, Diana Manjarres, Eva Portillo, Itziar Landa-Torres
2019	J	`jnl`	A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. CoRR Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov
2019	—	`conf`	Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy. SOCO Iratxe Niño-Adan, Itziar Landa-Torres, Eva Portillo, Diana Manjarres
2019	J	`jnl`	Instrumented Crutch Tip for Monitoring Force and Crutch Pitch Angle. Sensors Iñigo Sesar Gil, Asier Zubizarreta, Itziar Cabanes, Eva Portillo, Jon Torres-Unda, Ana Rodriguez
2018	J	`jnl`	Estimation of lactate threshold with machine learning techniques in recreational runners. Appl. Soft Comput. Urtats Etxegarai, Eva Portillo, Jon Irazusta, Ander Arriandiaga, Itziar Cabanes
2018	J	`jnl`	Real time direct kinematic problem computation of the 3PRS robot using neural networks. Neurocomputing Asier Zubizarreta, Mikel Larrea, Eloy Irigoyen, Itziar Cabanes, Eva Portillo
2018	J	`jnl`	Virtual Sensors for Advanced Controllers in Rehabilitation Robotics. Sensors Aitziber Mancisidor, Asier Zubizarreta, Itziar Cabanes, Eva Portillo, Je Hyung Jung
2017	J	`jnl`	Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs. Appl. Soft Comput. Ander Arriandiaga, Eva Portillo, José Antonio Sánchez, Itziar Cabanes, Asier Zubizarreta
2017	J	`jnl`	Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding. Neural Comput. Appl. Ander Arriandiaga, Eva Portillo, José Antonio Sánchez, Itziar Cabanes, Asier Zubizarreta
2016	J	`jnl`	A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks. Neural Comput. Appl. Ander Arriandiaga, Eva Portillo, José Antonio Sánchez, Itziar Cabanes, Iñigo Pombo
2015	A	`conf`	A stable model-based control scheme for parallel robots using additional sensors. IROS Pablo Bengoa, Asier Zubizarreta, Itziar Cabanes, Aitziber Mancisidor, Eva Portillo
2015	C	`conf`	On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks. EANN Ander Arriandiaga, Eva Portillo, José Antonio Sánchez, Itziar Cabanes
2014	J	`jnl`	Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process. Sensors Ander Arriandiaga, Eva Portillo, José Antonio Sánchez, Itziar Cabanes, Iñigo Pombo
2012	—	`conf`	A Case Study of a Flexible Software Tool in the Drilling Process. CESCIT Eva Portillo, Itziar Cabanes, José Antonio Sánchez, Dario Orive, Naiara Ortega, Marga Marcos
2012	J	`jnl`	A computer assistant for monitoring tool performance during the drilling process. Int. J. Comput. Integr. Manuf. Eva Portillo, Itziar Cabanes, José Antonio Sánchez, Dario Orive, Naiara Ortega, Marga Marcos
2012	—	`conf`	Towards an Infrastructure Model for Composing and Reconfiguring Cyber-Physical Systems. UCAmI Isidro Calvo, Eva Portillo, Oier García de Albéniz, Aintzane Armentia, Marga Marcos, Elisabet Estévez-Estévez, Ricardo Marau, Luís Almeida, Paulo Pedreiras
2010	C	`conf`	Extended CTC control for parallel robots. ETFA Asier Zubizarreta, Itziar Cabanes, Marga Marcos, Charles Pinto, Eva Portillo
2009	J	`jnl`	Recurrent ANN for monitoring degraded behaviours in a range of workpiece thicknesses. Eng. Appl. Artif. Intell. Eva Portillo, Marga Marcos, Itziar Cabanes, Asier Zubizarreta
2009	—	`conf`	Redundant dynamic modelling of the 3RRR parallel robot for control error reduction. ECC Asier Zubizarreta, Itziar Cabanes, Marga Marcos, Charles Pinto, Eva Portillo
2008	C	`conf`	Artificial Neural Networks for detecting instability trends in different workpiece thicknesses in a machining process. ACC Eva Portillo, Marga Marcos, Itziar Cabanes, Asier Zubizarreta, José Antonio Sánchez
2007	J	`jnl`	Design of a Virtual-Instrumentation System for a Machining Process. IEEE Trans. Instrum. Meas. Eva Portillo, Itziar Cabanes, Marga Marcos, Dario Orive, José Antonio Sánchez
2007	C	`conf`	On the application of recurrent neural network techniques for detecting instability trends in an industrial process. ETFA Eva Portillo, Marga Marcos, Itziar Cabanes, Asier Zubizarreta