| Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 A Diez-Olivan, J Del Ser, D Galar, B Sierra Information Fusion 50, 92-111, 2019 | 402 | 2019 |
| A clustering approach for structural health monitoring on bridges A Diez, NLD Khoa, MM Alamdari, Y Wang, F Chen, P Runcie Journal of Civil Structural Health Monitoring, 1-17, 2016 | 108 | 2016 |
| Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score A Diez-Olivan, JA Pagan, R Sanz, B Sierra Neurocomputing 241, 97-107, 2017 | 48 | 2017 |
| Remote support for maintenance tasks by the use of Augmented Reality: the ManuVAR project J Aspiazu, S Siltanen, P Multanen, A Mäkiranta, N Barrena, A Díez, ... 9th Congress on Virtual Reality Applications, CARVI 2011, 2011 | 24 | 2011 |
| Kernel-based support vector machines for automated health status assessment in monitoring sensor data A Diez-Olivan, JA Pagan, NLD Khoa, R Sanz, B Sierra The International Journal of Advanced Manufacturing Technology 95 (1), 327-340, 2018 | 23 | 2018 |
| Evolutionary LSTM-FCN networks for pattern classification in industrial processes P Ortego, A Diez-Olivan, J Del Ser, F Veiga, M Penalva, B Sierra Swarm and Evolutionary Computation 54, 100650, 2020 | 14 | 2020 |
| Unsupervised methods for anomalies detection through intelligent monitoring systems A Carrascal, A Díez, A Azpeitia International Conference on Hybrid Artificial Intelligence Systems, 137-144, 2009 | 11 | 2009 |
| Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming A Diez-Olivan, X Averós, R Sanz, B Sierra, I Estevez Computers and Electronics in Agriculture 161, 141-150, 2019 | 10 | 2019 |
| Kernel density-based pattern classification in blind fasteners installation A Diez-Olivan, M Penalva, F Veiga, L Deitert, R Sanz, B Sierra Hybrid Artificial Intelligent Systems, 195, 2017 | 9 | 2017 |
| Adaptive dendritic cell-deep learning approach for industrial prognosis under changing conditions A Diez-Olivan, P Ortego, J Del Ser, I Landa-Torres, D Galar, D Camacho, ... IEEE Transactions on Industrial Informatics 17 (11), 7760-7770, 2021 | 6 | 2021 |
| Data augmentation for industrial prognosis using generative adversarial networks P Ortego, A Diez-Olivan, JD Ser, B Sierra International Conference on Intelligent Data Engineering and Automated …, 2020 | 6 | 2020 |
| Deep evolutionary modeling of condition monitoring data in marine propulsion systems A Diez-Olivan, JA Pagan, R Sanz, B Sierra Soft Computing 23 (20), 9937-9953, 2019 | 6 | 2019 |
| Fault detection and rul estimation for railway hvac systems using a hybrid model-based approach A Gálvez, A Diez-Olivan, D Seneviratne, D Galar Sustainability 13 (12), 6828, 2021 | 5 | 2021 |
| On-line monitoring of blind fastener installation process J Camacho, F Veiga, ML Penalva, A Diez-Olivan, L Deitert, ... Materials 12 (7), 1157, 2019 | 5 | 2019 |
| Machine learning for data-driven prognostics: methods and applications A Diez Oliván Industriales, 2017 | 5 | 2017 |
| Remote maintenance support in the railway industry T Smith, A Diez, N Barrena, J Azpiazu, JA Ibarbia Joint Virtual Reality Conference (JVRC2011), 20-21, 2011 | 5 | 2011 |
| Synthetic data generation in hybrid modelling of railway HVAC system A Gálvez, A Diez-Olivan, D Seneviratne, D Galar 17th IMEKO TC 10 and EUROLAB Virtual Conference, Online, October 20-22, 2020 …, 2020 | 3 | 2020 |
| Implementation of Signal Processing Methods in a Structural Health Monitoring (SHM) System based on Ultrasonic Guided Waves for Defect Detection in Different Materials and … N Galarza, B Rubio, A Diez, F Boto, D Gil, J Rubio, E Moreno The e-Journal of Nondestructive Testing & Ultrasonics, 2016 | 2 | 2016 |
| Evolutionary generation of fuzzy knowledge bases for diagnosing monitored railway systems A Carrascal, A Díez Oliván, JM Font Fernández, D Manrique Gamo Czech Society for Non-Destructive Testing 22, 191-198, 2009 | 2 | 2009 |
| A multiclassifier approach for drill wear prediction A Diez, A Carrascal International Workshop on Machine Learning and Data Mining in Pattern …, 2012 | 1 | 2012 |
Basilio Sierra AraujoProfessor of the Computer Sciences and Artificial Intelligen Department, University of the Basque CountryVerified email at ehu.eus
