Diego García-Pérez

According to our database, Diego García-Pérez authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview.

Diego García-Pérez, Mariam Saeed, Ignacio Díaz Blanco, José M. Enguita, Juan Manuel Guerrero, Fernando Briz

IEEE Access, 2024

2023

Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction.

Ignacio Díaz Blanco, José M. Enguita, Abel A. Cuadrado, Diego García-Pérez, Ana González, Nuria Valdés, María D. Chiara

IEEE J. Biomed. Health Informatics, June, 2023

Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders.

Ana González-Muñiz, José María Enguita, Ignacio Díaz Blanco, Diego García-Pérez, Abel Alberto Cuadrado Vega, Nuria Valdés, María D. Chiara

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation.

Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José María Enguita, Ana González-Muñiz, Manuel Domínguez

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Principal Component Modes of Reservoir Dynamics in Reservoir Computing.

José María Enguita, Ignacio Díaz Blanco, Diego García-Pérez, Abel Alberto Cuadrado Vega, José Ramón Rodríguez

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine.

Ignacio Díaz Blanco, José M. Enguita, Abel A. Cuadrado, Diego García-Pérez, Ana González-Muñiz

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

2022

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder.

Ana González-Muñiz, Ignacio Díaz Blanco, Abel A. Cuadrado, Diego García-Pérez

Reliab. Eng. Syst. Saf., 2022

Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders.

Ana González-Muñiz, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Diego García-Pérez, Daniel Pérez

Comput. Electr. Eng., 2022

Interactive dual projections for gene expression analysis.

Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Ana González-Muñiz, Abel Alberto Cuadrado Vega, Maria Dolores Chiara-Romero, Nuria Valdés

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave.

Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Maria Dolores Chiara-Romero, Nuria Valdés, Ana González-Muñiz, Abel Alberto Cuadrado Vega

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings.

Diego García-Pérez, Daniel Pérez-López, Ignacio Díaz Blanco, Ana González-Muñiz, Manuel Domínguez-González, Abel Alberto Cuadrado Vega

IEEE Trans. Smart Grid, 2021

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets.

Ignacio Díaz Blanco, José M. Enguita, Ana González, Diego García-Pérez, Abel A. Cuadrado, María D. Chiara, Nuria Valdés

Bioinform., 2021

2018

Interactive data visualization of chatter conditions in a cold rolling mill.

Daniel Pérez, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, José L. Rendueles, Diego García-Pérez

Comput. Ind., 2018

Interactive dimensionality reduction of large datasets using interpolation.

Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Diego García-Pérez, Manuel Domínguez-González

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Latent variable analysis in hospital electric power demand using non-negative matrix factorization.

Diego García-Pérez, Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Manuel Domínguez-González

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017