Alberto Diez-Olivan

Orcid: 0000-0002-6837-3618

According to our database1, Alberto Diez-Olivan authored at least 8 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions.
IEEE Trans. Ind. Informatics, 2021

2020
Evolutionary LSTM-FCN networks for pattern classification in industrial processes.
Swarm Evol. Comput., 2020

Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019
Deep evolutionary modeling of condition monitoring data in marine propulsion systems.
Soft Comput., 2019

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0.
Inf. Fusion, 2019

Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming.
Comput. Electron. Agric., 2019

2017
Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score.
Neurocomputing, 2017

Kernel Density-Based Pattern Classification in Blind Fasteners Installation.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017


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