Daniel Pérez

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Multidimensional Data

Dimensionality Reduction

Top Venues

Integr. Comput. Aided Eng.

Publications

Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder. Integr. Comput. Aided Eng. 31 (2) (2024)
Jose Roberto Rausell-Campo, Daniel Pérez, López, José Capmany Francoy
Programming universal unitary transformations on a general-purpose silicon photonics platform. CoRR (2024)
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. EANN (2023)
Diego García, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José Maria Enguita, Ana González-Muñiz, Manuel Domínguez
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. AIAI Workshops (2023)
Ana González-Muñiz, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Diego García-Pérez, Daniel Pérez
Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders. Comput. Electr. Eng. 101 (2022)
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network. EANN (2022)
Juan José Fuertes, Miguel Ángel Prada, José Ramón Rodríguez-Ossorio, Raúl González-Herbón, Daniel Pérez, Manuel Domínguez
Environment for Education on Industry 4.0. IEEE Access 9 (2021)
Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez
Evaluation of feature learning for anomaly detection in network traffic. Evol. Syst. 12 (1) (2021)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Virtual sensor for probabilistic estimation of the evaporation in cooling towers. Integr. Comput. Aided Eng. 28 (4) (2021)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez
Estimating cooling production and monitoring efficiency in chillers using a soft sensor. Neural Comput. Appl. 32 (23) (2020)
Antonio Morán Álvarez, Serafín Alonso, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Feature Extraction from Building Submetering Networks Using Deep Learning. Sensors 20 (13) (2020)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network. EANN (2020)
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Perfecto Reguera, Ignacio Díaz Blanco, Manuel Domínguez
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers. EANN (2019)
Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Comparison of Network Intrusion Detection Performance Using Feature Representation. EANN (2019)
Serafín Alonso, Daniel Pérez, Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez
A Deep Learning Approach for Fusing Sensor Data from Screw Compressors. Sensors 19 (13) (2019)
Alberto López, Daniel Pérez, Francisco Javier Ferrero Martín, Octavian Postolache
A Real-Time Algorithm to Detect Falls in the Elderly. MeMeA (2018)
Daniel Pérez, Francisco Javier Ferrero Martín, Ignacio Alvarez, Marta Valledor, Juan Carlos Campo Rodriguez
Automatic measurement of fish size using stereo vision. I2MTC (2018)
Daniel Pérez, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, José L. Rendueles, Diego García
Interactive data visualization of chatter conditions in a cold rolling mill. Comput. Ind. 103 (2018)
Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Diego Garcia-Perez, Manuel Domínguez-González
Interactive dimensionality reduction of large datasets using interpolation. ESANN (2018)
Diego García, Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Manuel Domínguez-González
Latent variable analysis in hospital electric power demand using non-negative matrix factorization. ESANN (2017)
Kai Xu, Leishi Zhang, Daniel Pérez, Phong H. Nguyen, Adam Ogilvie-Smith
Evaluating Interactive Visualization of Multidimensional Data Projection with Feature Transformation. Multimodal Technol. Interact. 1 (3) (2017)
Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco
Interactive feature space extension for multidimensional data projection. Neurocomputing 150 (2015)
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel Pérez, Francisco J. García-Fernández, Michel Verleysen
Interactive dimensionality reduction for visual analytics. ESANN (2014)
Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco
Interactive Visualization and Feature Transformation for Multidimensional Data Projection. VAMP@EuroVis (2013)
Daniel Pérez, Francisco J. García-Fernández, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel G. Ordonez, Alberto B. Diez, Manuel Domínguez-González
Visual analysis of a cold rolling process using a dimensionality reduction approach. Eng. Appl. Artif. Intell. 26 (8) (2013)
Daniel Pérez, Francisco J. García-Fernández, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel G. Ordonez, Alberto B. Diez, Manuel Domínguez-González
Visual Analysis of a Cold Rolling Process Using Data-Based Modeling. EANN (2012)
Francisco J. García-Fernández, Ignacio Díaz Blanco, Ignacio Álvarez, Daniel Pérez, Daniel G. Ordonez, Manuel Domínguez-González
Time-Frequency Analysis of Hot Rolling Using Manifold Learning. EANN/AIAI (1) (2011)