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Daniel Pérez 0001
Person information
- affiliation: University of Oviedo, Spain
Other persons with the same name
- Daniel Pérez — disambiguation page
- Daniel Pérez 0002 (aka: Daniel Pérez Ibañez) — Old Dominion University, Department of Electrical and Computer Engineering, Norfolk, VA, USA
- Daniel Gracia Pérez (aka: Daniel Pérez 0003) — Thales Research & Technology, Palaiseau, France (and 3 more)
- Daniel Pérez 0004 — Epistemonikos Foundation, Santiago, Chile (and 1 more)
- Daniel Pérez 0005 — Technical University of Valencia, Photonics Research Labs, Spain
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2020 – today
- 2024
- [j13]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): 157-172 (2024) - [i4]Jose Roberto Rausell-Campo, Antonio Hurtado, Daniel Pérez-López, José Capmany Francoy:
Programmable Photonic Extreme Learning Machines. CoRR abs/2407.03218 (2024) - [i3]Jose Roberto Rausell-Campo, Daniel Pérez-López, José Capmany Francoy:
Programming universal unitary transformations on a general-purpose silicon photonics platform. CoRR abs/2407.03235 (2024) - 2023
- [c15]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: 239-250 - [c14]Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José María Enguita, Ana González-Muñiz, Manuel Domínguez:
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. AIAI Workshops 2023: 421-433 - 2022
- [j12]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: 108065 (2022) - [c13]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: 247-259 - [c12]Daniel Pérez-López:
Large-scale Programmable Integrated Photonic Circuits: From Microwave Photonics to Optical Computing. OFC 2022: 1-3 - [i2]Andrés Macho-Ortiz, Daniel Pérez-López, José Azaña, José Capmany:
Analog Programmable-Photonic Computation. CoRR abs/2203.14118 (2022) - 2021
- [j11]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: 144395-144405 (2021) - [j10]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): 79-90 (2021) - [j9]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): 369-381 (2021) - [j8]Diego García-Pérez, Daniel Pérez-López, Ignacio Díaz Blanco, Ana González-Muñiz, Manuel Domínguez-González, Abel Alberto Cuadrado Vega:
Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings. IEEE Trans. Smart Grid 12(3): 2722-2731 (2021) - 2020
- [j7]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): 17291-17308 (2020) - [j6]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): 3665 (2020) - [c11]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: 155-166 - [i1]Daniel Pérez-López, A. López-Hernandez, A. Macho, P. Das Mahapatra, José Capmany:
Towards field-programmable photonic gate arrays. CoRR abs/2002.09681 (2020)
2010 – 2019
- 2019
- [j5]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): 2868 (2019) - [c10]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: 307-319 - [c9]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: 463-475 - 2018
- [j4]Daniel Pérez, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, José L. Rendueles, Diego García-Pérez:
Interactive data visualization of chatter conditions in a cold rolling mill. Comput. Ind. 103: 86-96 (2018) - [c8]Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Diego García-Pérez, Manuel Domínguez-González:
Interactive dimensionality reduction of large datasets using interpolation. ESANN 2018 - [c7]Daniel Pérez, Francisco Javier Ferrero Martín, Ignacio Alvarez, Marta Valledor, Juan Carlos Campo Rodriguez:
Automatic measurement of fish size using stereo vision. I2MTC 2018: 1-6 - [c6]Alberto López, Daniel Pérez, Francisco Javier Ferrero Martín, Octavian Postolache:
A Real-Time Algorithm to Detect Falls in the Elderly. MeMeA 2018: 1-5 - 2017
- [j3]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): 13 (2017) - [c5]Diego García-Pérez, 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 - 2015
- [j2]Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco:
Interactive feature space extension for multidimensional data projection. Neurocomputing 150: 611-626 (2015) - 2014
- [c4]Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel Pérez, Francisco J. García-Fernández, Michel Verleysen:
Interactive dimensionality reduction for visual analytics. ESANN 2014 - 2013
- [j1]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): 1865-1871 (2013) - [c3]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 - 2012
- [c2]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: 244-253 - 2011
- [c1]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: 150-155
Coauthor Index
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last updated on 2024-10-22 20:14 CEST by the dblp team
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