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ORCIDMiguel Cárdenas-Montes
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- affiliation: CIEMAT, Department of Fundamental Research, Madrid, Spain
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2020 – today
- 2024
[c48]Miguel Cárdenas-Montes
, Laura Toribio San Cipriano, Jacobo Asorey Barreiro, Juan de Vicente, Ignacio Sevilla-Noarbe:
Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes. HAIS (1) 2024: 214-225- 2023
- [j21]Pedro García-Victoria, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes, Roberto Andrés Vasco Carofilis:
PBIL for optimizing inception module in convolutional neural networks. Log. J. IGPL 31(2): 325-337 (2023) - 2022
- [j20]Miguel Cárdenas-Montes:
Uncertainty estimation in the forecasting of the 222Rn radiation level time series at the Canfranc Underground Laboratory. Log. J. IGPL 30(2): 227-238 (2022) - [j19]Pedro García-Victoria, Matteo Cavaliere, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes:
Evolutionary game theory in a cell: A membrane computing approach. Inf. Sci. 589: 580-594 (2022) - [i4]Alejandro Luque-Cerpa, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes:
Dynamic Price of Parking Service based on Deep Learning. CoRR abs/2201.04188 (2022) - 2021
- [j18]Julia Vázquez-Escobar, J. M. Hernández, Miguel Cárdenas-Montes:
Estimation of Machine Learning model uncertainty in particle physics event classifiers. Comput. Phys. Commun. 268: 108100 (2021) - [j17]Miguel Cárdenas-Montes:
Detection of anomalous episodes in urban Ozone maps. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [c47]Juan Luis Gómez-González, Miguel Cárdenas-Montes:
Window Size Optimization for Gaussian Processes in Large Time Series Forecasting. HAIS 2021: 137-148 - [c46]Tomás Sánchez-Pastor, Miguel Cárdenas-Montes:
Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory. HAIS 2021: 487-499 - [i3]Iñaki Rodríguez-García, Miguel Cárdenas-Montes:
Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory. CoRR abs/2102.07616 (2021) - 2020
- [j16]Miguel Cárdenas-Montes:
Slope-to-optimal-solution-based evaluation of the hardness of travelling salesman problem instances. Log. J. IGPL 28(1): 45-57 (2020) - [j15]Miguel Cárdenas-Montes:
An alternative view for incorporating more scaled differences to differential evolution. Log. J. IGPL 28(2): 171-184 (2020) - [c45]Roberto A. Vasco-Carofilis, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes:
PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition. HAIS 2020: 147-159 - [c44]Iñaki Rodríguez-García, Vicente Pesudo, Roberto Santorelli, Miguel Cárdenas-Montes:
Neural Networks for Background Rejection in DEAP-3600 Detector. HAIS 2020: 644-654
2010 – 2019
- 2019
- [j14]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Mercedes Mollá:
Modeling low-resolution galaxy spectral energy distribution with evolutionary algorithms. Neurocomputing 326-327: 28-38 (2019) - [c43]Miguel Cárdenas-Montes:
Forecast Daily Air-Pollution Time Series with Deep Learning. HAIS 2019: 431-443 - [c42]Miguel Cárdenas-Montes, Iván Méndez-Jiménez:
Ensemble Deep Learning for Forecasting ^222Rn 222 R n Radiation Level at Canfranc Underground Laboratory. SOCO 2019: 157-167 - [c41]Miguel Cárdenas-Montes:
Search of Extreme Episodes in Urban Ozone Maps. SOCO 2019: 168-178 - 2018
- [j13]Miguel Cárdenas-Montes:
Creating hard-to-solve instances of travelling salesman problem. Appl. Soft Comput. 71: 268-276 (2018) - [j12]Miguel Cárdenas-Montes, Ignacio Sevilla-Noarbe:
Voronoi Tessellation for reducing the processing time of correlation functions. Comput. Phys. Commun. 222: 158-166 (2018) - [j11]Antonio Gómez-Iglesias, Miguel Cárdenas-Montes:
Performance evaluation of the three-point angular correlation function. Parallel Comput. 76: 28-41 (2018) - [j10]Miguel Cárdenas-Montes:
Weibull-based scaled-differences schema for Differential Evolution. Swarm Evol. Comput. 38: 79-93 (2018) - [c40]Iván Méndez-Jiménez, Miguel Cárdenas-Montes:
Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks. CAEPIA 2018: 87-97 - [c39]Iván Méndez-Jiménez, Miguel Cárdenas-Montes:
Modelling and Forecasting of the ^222Rn Radiation Level Time Series at the Canfranc Underground Laboratory. HAIS 2018: 158-170 - [c38]David Crespo-Roces, Iván Méndez-Jiménez, Sancho Salcedo-Sanz, Miguel Cárdenas-Montes:
Generalized Probability Distribution Mixture Model for Clustering. HAIS 2018: 251-263 - 2017
- [j9]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias:
Parallel evaluation of nonseparable functions by evolutionary algorithms on GPU. Concurr. Comput. Pract. Exp. 29(5) (2017) - [j8]Juan José Rodríguez-Vázquez, José Luis Vázquez-Poletti, Carlos José Delgado-Méndez, Andrea Bulgarelli, Miguel Cárdenas-Montes:
Performance study of a signal-extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array's real-time-analysis software. Concurr. Comput. Pract. Exp. 29(12) (2017) - [c37]Iván Méndez-Jiménez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Ignacio Sevilla-Noarbe, Eusebio Sánchez Álvaro, David Alonso, Miguel A. Vega-Rodríguez:
An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU. CCGrid 2017: 913-920 - [c36]Miguel Cárdenas-Montes:
Incorporating More Scaled Differences to Differential Evolution. HAIS 2017: 101-112 - [c35]Antonio Gómez-Iglesias, Miguel Cárdenas-Montes:
Time and Energy to Solution Evaluation for the Three-Point Angular Correlation Function. IPDPS Workshops 2017: 703-712 - [i2]Miguel Cárdenas-Montes, Iván Méndez-Jiménez, Juan José Rodríguez-Vázquez, José María Hernández Calama:
Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions. CoRR abs/1709.03264 (2017) - 2016
- [j7]Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Miguel A. Vega-Rodríguez:
Bin recycling strategy for improving the histogram precision on GPU. Comput. Phys. Commun. 204: 55-63 (2016) - [c34]Miguel Cárdenas-Montes:
Predicting Hardness of Travelling Salesman Problem Instances. CAEPIA 2016: 68-78 - [c33]Miguel Cárdenas-Montes:
Evaluating the Difficulty of Instances of the Travelling Salesman Problem in the Nearby of the Optimal Solution Based on Random Walk Exploration. HAIS 2016: 299-310 - [c32]Miguel Cárdenas-Montes, Bárbara Montes, Roberto Santorelli, Luciano Romero:
Evaluation of Decision Trees Algorithms for Position Reconstruction in Argon Dark Matter Experiment. HAIS 2016: 575-587 - [c31]Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Miguel A. Vega-Rodríguez, Ignacio Sevilla-Noarbe, Antonio Gómez-Iglesias:
Bin Recycling Strategy for an Accuracy-Aware Implementation of Two-Point Angular Correlation Function on GPU. ICA3PP 2016: 503-511 - 2015
- [j6]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez:
Effect of Data Layout in the Evaluation Time of Non-Separable Functions on GPU. Comput. Informatics 34(4): 725-745 (2015) - [c30]Miguel Cárdenas-Montes, Miguel Ángel Vega Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias:
A Comparison Exercise on Parallel Evaluation of Rosenbrock Function. GECCO (Companion) 2015: 1361-1362 - [c29]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez:
Particle Swarm Optimizer with Finite Velocity of Information Transmission. HAIS 2015: 157-169 - 2014
- [j5]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Christopher Bonnett, Ignacio Sevilla-Noarbe, Rafael Ponce, Eusebio Sánchez Álvaro, Juan José Rodríguez-Vázquez:
GPU-based shear-shear correlation calculation. Comput. Phys. Commun. 185(1): 11-18 (2014) - [j4]Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Miguel A. Vega-Rodríguez, Ignacio Sevilla-Noarbe, Eusebio Sánchez Álvaro:
Performance and precision of histogram calculation on GPUs: Cosmological analysis as a case study. Comput. Phys. Commun. 185(10): 2558-2565 (2014) - [c28]Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Ignacio Sevilla-Noarbe, Eusebio Sánchez Álvaro, Rafael Ponce, Miguel Ángel Vega Rodríguez, Christopher Bonnett:
High-performance implementations for shear-shear correlation calculation. CLUSTER 2014: 290-291 - [c27]Juan José Rodríguez-Vázquez, José Luis Vázquez-Poletti, Carlos José Delgado-Méndez, Andrea Bulgarelli, Miguel Cárdenas-Montes:
Performance evaluation of a signal extraction algorithm for the Cherenkov Telescope Array's Real Time Analysis pipeline. CLUSTER 2014: 292-293 - [c26]Miguel Cárdenas-Montes:
Depth-Based Outlier Detection Algorithm. HAIS 2014: 122-132 - [c25]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Mercedes Mollá:
Metaheuristics for Modelling Low-Resolution Galaxy Spectral Energy Distribution. HAIS 2014: 490-501 - 2013
- [c24]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Ignacio Sevilla-Noarbe, Rafael Ponce, Juan José Rodríguez-Vázquez, Eusebio Sánchez Álvaro:
Concurrent CPU-GPU Code Optimization: The Two-Point Angular Correlation Function as Case Study. CAEPIA 2013: 209-218 - [c23]Miguel Cárdenas-Montes, Miguel Ángel Vega Rodríguez, Mercedes Mollá:
Metaoptimization of Differential Evolution by Using Productions of Low-Number of Cycles: The Fitting of Rotation Curves of Spiral Galaxies as Case Study. HAIS 2013: 356-365 - 2012
- [c22]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Antonio Gómez-Iglesias:
Real-World Problem for Checking the Sensitiveness of Evolutionary Algorithms to the Choice of the Random Number Generator. HAIS (1) 2012: 385-396 - 2011
- [c21]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias:
GPU-Based Evaluation to Accelerate Particle Swarm Algorithm. EUROCAST (1) 2011: 272-279 - [c20]Juan José Rodríguez-Vázquez, Sixto Romero-Sánchez, Miguel Cárdenas-Montes:
Speeding Up a Chaos-Based Image Encryption Algorithm Using GPGPU. EUROCAST (1) 2011: 592-599 - [c19]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias:
Effect of the Block Occupancy in GPGPU over the Performance of Particle Swarm Algorithm. ICANNGA (1) 2011: 310-319 - [c18]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Antonio Gómez-Iglesias:
Sensitiveness of Evolutionary Algorithms to the Random Number Generator. ICANNGA (1) 2011: 371-380 - [c17]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón, Miguel Cárdenas-Montes:
Distributed and Asynchronous Bees Algorithm Applied to Nuclear Fusion Research. PDP 2011: 365-372 - [c16]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias:
Accelerating Particle Swarm Algorithm with GPGPU. PDP 2011: 560-564 - 2010
- [j3]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón, Enrique Morales-Ramos, Miguel Cárdenas-Montes, José M. Reynolds:
Grid-based metaheuristics to improve a nuclear fusion device. Concurr. Comput. Pract. Exp. 22(11): 1476-1493 (2010) - [c15]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón, Miguel Cárdenas-Montes:
Distributed and Asynchronous Bees Algorithm: An Efficient Model for Large Scale Problems Optimizations. DCAI 2010: 381-388 - [c14]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Antonio Gómez-Iglesias:
Performance Improvement in Multipopulation Particle Swarm Algorithm. DCAI 2010: 533-540 - [c13]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Antonio Gómez-Iglesias, Enrique Morales-Ramos:
Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing. NICSO 2010: 345-357 - [c12]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón, Miguel Cárdenas-Montes, Enrique Morales-Ramos:
Artificial Bee Colony Inspired Algorithm Applied to Fusion Research in a Grid Computing Environment. PDP 2010: 508-512
2000 – 2009
- 2009
- [j2]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón-Magaña, Miguel Cárdenas-Montes, Enrique Morales-Ramos:
Evolutionary computation and grid computing to optimise nuclear fusion devices. Clust. Comput. 12(4): 439-448 (2009) - [c11]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón-Magaña, Miguel Cárdenas-Montes, Enrique Morales-Ramos:
Grid-Enabled Mutation-Based Genetic Algorithm to Optimise Nuclear Fusion Devices. EUROCAST 2009: 809-816 - [c10]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Enrique Morales-Ramos, Francisco Castejón-Magaña:
Grid-Oriented Scatter Search Algorithm. ICANNGA 2009: 193-202 - [c9]Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Enrique Morales-Ramos:
Exploration of the Conjecture of Bateman Using Particle Swarm Optimisation and Grid Computing. ISPDC 2009: 143-150 - [c8]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón-Magaña, Miguel Cárdenas-Montes, Enrique Morales-Ramos:
Scatter Search and Grid Computing to Improve Nuclear Fusion Devices. LSSC 2009: 483-490 - 2008
- [j1]Zoltán Balaton, Zoltán Farkas, Gabor Gombás, Péter Kacsuk, Róbert Lovas, Csaba Attila Marosi, Ad Emmen, Gábor Terstyánszky, Tamás Kiss, Ian Kelley, Ian J. Taylor, Oleg Lodygensky, Miguel Cárdenas-Montes, Gilles Fedak, Filipe Araújo:
EdgES: the Common Boundary between Service and Desktop Grids. Parallel Process. Lett. 18(3): 433-445 (2008) - [c7]Manuel Rubio del Solar, Miguel A. Vega-Rodríguez, Juan Manuel Sánchez-Pérez, Antonio Gómez-Iglesias, Miguel Cárdenas-Montes:
A FPGA Optimization Tool Based on a Multi-island Genetic Algorithm Distributed over Grid Environments. CCGRID 2008: 65-72 - [c6]Gilles Fedak, Haiwu He, Oleg Lodygensky, Zoltán Balaton, Zoltán Farkas, Gabor Gombás, Péter Kacsuk, Róbert Lovas, Csaba Attila Marosi, Ian Kelley, Ian J. Taylor, Gábor Terstyánszky, Tamás Kiss, Miguel Cárdenas-Montes, Ad Emmen, Filipe Araújo:
EDGeS: A Bridge between Desktop Grids and Service Grids. ChinaGrid 2008: 3-9 - [c5]Zoltán Balaton, Zoltán Farkas, Gabor Gombás, Péter Kacsuk, Róbert Lovas, Csaba Attila Marosi, Gábor Terstyánszky, Tamás Kiss, Oleg Lodygensky, Gilles Fedak, Ad Emmen, Ian Kelley, Ian J. Taylor, Miguel Cárdenas-Montes, Filipe Araújo:
EDGeS: The Common Boundary Between Service And Desktop Grids. CoreGRID Integration Workshop 2008: 37-48 - [c4]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón-Magaña, Miguel Cárdenas-Montes, Enrique Morales-Ramos:
Using a Genetic Algorithm and the Grid to Improve Transport Levels in the TJ-II Stellarator. ISPDC 2008: 81-88 - [c3]Enrique Morales-Ramos, Miguel A. Vega-Rodríguez, Antonio Gómez-Iglesias, Miguel Cárdenas-Montes, Juan Antonio Gómez Pulido, Florentino Sánchez-Bajo:
Peaks Detection in X-Ray Diffraction Profiles Using Grid Computing. OTM Conferences (1) 2008: 793-801 - [c2]Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Francisco Castejón-Magaña, Manuel Rubio del Solar, Miguel Cárdenas-Montes:
Grid Computing in Order to Implement a Three-Dimensional Magnetohydrodynamic Equilibrium Solver for Plasma Confinement. PDP 2008: 435-439 - [i1]Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, Francisco Chávez de la O, Miguel Cárdenas-Montes, Lourdes Araujo, Pedro A. Castillo, Ken Sharman:
Increasing GP Computing Power via Volunteer Computing. CoRR abs/0801.1210 (2008) - 2007
- [c1]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Carlos J. García Orellana, Manuel Rubio del Solar, Juan Antonio Gómez Pulido, Horacio M. González Velasco, Antonio Gómez-Iglesias, Juan Manuel Sánchez-Pérez, Miguel Macías Macías:
Volunteer Computing, an Interesting Option for Grid Computing: Extremadura as Case Study. OTM Workshops (1) 2007: 29-30
Coauthor Index
Francisco Castejón-Magaña
aka: Francisco Castejón
aka: Francisco Castejón
Miguel A. Vega-Rodríguez
aka: Miguel Ángel Vega Rodríguez
aka: Miguel Ángel Vega Rodríguez
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