Alberto Diez-Olivan, PhD
Alberto Diez-Olivan, PhD
Sr Data Scientist (Data Science Assoc Manager) & Artificial Intelligence Researcher, PepsiCo
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
On-line monitoring of blind fastener installation process
J Camacho, F Veiga, ML Penalva, A Diez-Olivan, L Deitert, ...
Materials 12 (7), 1157, 2019
Machine learning for data-driven prognostics: methods and applications
A Diez Oliván
Industriales, 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
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
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
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
A multiclassifier approach for drill wear prediction
A Diez, A Carrascal
International Workshop on Machine Learning and Data Mining in Pattern …, 2012
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