Latent variable analysis in hospital electric power demand using non-negative matrix factorization. - Diego García-Pérez; Ignacio Díaz Blanco; Daniel Pérez 001; Abel Alberto Cuadrado Vega; Manuel Domínguez-González (ESANN, 2017)

Interactive dimensionality reduction of large datasets using interpolation. - Ignacio Díaz Blanco; Daniel Pérez 001; Abel Alberto Cuadrado Vega; Diego García-Pérez; Manuel Domínguez-González (ESANN, 2018)

Interactive data visualization of chatter conditions in a cold rolling mill. - Daniel Pérez 001; Ignacio Díaz Blanco; Abel Alberto Cuadrado Vega; José L. Rendueles; Diego García-Pérez (Comput. Ind., 2018)

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets. - Ignacio Díaz Blanco; José M. Enguita; Ana González 002; Diego García-Pérez; Abel A. Cuadrado; María D. Chiara; Nuria Valdés (Bioinform., 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)

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 (ESANN, 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 (ESANN, 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 001 (Comput. Electr. Eng., 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)

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 (AIAI (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 (AIAI (Workshops), 2023)

Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. - Diego García-Pérez; Daniel Pérez 001; Panagiotis Papapetrou; Ignacio Díaz Blanco; Abel A. Cuadrado; José María Enguita; Ana González-Muñiz; Manuel Domínguez 002 (AIAI (Workshops), 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 (AIAI (Workshops), 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 002; Nuria Valdés; María D. Chiara (IEEE J. Biomed. Health Informatics, 2023)

Human Activity Recognition from Thigh and Wrist Accelerometry. - Alejandro Castellanos Alonso; Antonio M. López 002; Diego García-Pérez; Diego Álvarez; Juan Carlos Alvarez (ESANN, 2024)

Analysis of DNA methylation patterns in cancer samples using SOM. - Ignacio Díaz Blanco; José M. Enguita-Gonzalez; Diego García-Pérez; Abel Alberto Cuadrado Vega; Nuria Valdés; Maria Dolores Chiara-Romero (ESANN, 2024)

Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics. - José M. Enguita-Gonzalez; Diego García-Pérez; Abel Alberto Cuadrado Vega; Daniel García-Peña; José Ramón Rodríguez-Ossorio; Ignacio Díaz Blanco (ESANN, 2024)

Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings. - Diego García-Pérez; Ignacio Díaz Blanco; José María Enguita; Jorge Menéndez; Abel Alberto Cuadrado Vega (ESANN, 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)

CRITS: Convolutional Rectifier for Interpretable Time Series Classification. - Alejandro Kuratomi; Zed Lee; Guilherme Dinis Junior; Tony Lindgren; Diego García-Pérez (CoRR, 2025)

Conditioned fully convolutional denoising autoencoder for multi-target NILM. - Diego García-Pérez; Daniel Pérez 001; Panagiotis Papapetrou; Ignacio Díaz Blanco; Abel A. Cuadrado; José M. Enguita; Manuel Domínguez 002 (Neural Comput. Appl., 2025)