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aka: David Díaz-Pardo - David Arturo Pardo Melo
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Publication search results
found 366 matches
- 2024
- Andres F. Escobar-Ortiz, Maria A. Amezquita-Dussan, Juan S. Galindo-Sanchez, Josh Pardo-Cabrera, Julián Hurtado-López, David F. Ramirez-Moreno, Luz F. Sua-Villegas, Liliana Fernandez-Trujillo:
Data-set class-balancing and the Convolutional Vision Transformer. Biomed. Signal Process. Control. 93: 106190 (2024) - Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee:
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Comput. Math. Appl. 164: 139-149 (2024) - Angel Javier Omella, David Pardo:
r-Adaptive deep learning method for solving partial differential equations. Comput. Math. Appl. 153: 33-42 (2024) - Álvaro Michelena, María Teresa García-Ordás, José Aveleira-Mata, David Yeregui Marcos del Blanco, Míriam Timiraos Díaz, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Héctor Alaiz-Moretón, José Luís Calvo-Rolle:
Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices. Log. J. IGPL 32(2): 352-365 (2024) - Haifa Gmati, Amira Mouakher, Antonio González-Pardo, David Camacho:
A new algorithm for communities detection in social networks with node attributes. J. Ambient Intell. Humaniz. Comput. 15(2): 1779-1791 (2024) - Aitor Balmaseda, Davide Lonigro, Juan Manue Pérez-Pardo:
On Global Approximate Controllability of a Quantum Particle in a Box by Moving Walls. SIAM J. Control. Optim. 62(2): 826-852 (2024) - Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah:
Ensemble Deep Learning for Enhanced Seismic Data Reconstruction. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Andrés Merizalde, Gustavo Rubiano, Germán Roberto Pardo, Alejandra Tabares Pozos, David Álvarez-Martínez:
Strategically Influencing Seat Selection in Low-Cost Carriers: A GRASP Approach for Revenue Maximization. MIC (2) 2024: 65-79 - Paolo Rosso, Berta Chulvi, Damir Korencic, Mariona Taulé, Xavier Bonet Casals, David Camacho, Ángel Panizo, David Arroyo, Juan Gómez, Francisco Rangel:
XAI-DisInfodemics: eXplainable AI for disinformation and conspiracy detection during infodemics. SEPLN (Projects and Demonstrations) 2024: 59-64 - Jamie M. Taylor, Manuela Bastidas, Victor M. Calo, David Pardo:
Adaptive Deep Fourier Residual method via overlapping domain decomposition. CoRR abs/2401.04663 (2024) - Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua:
Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants. CoRR abs/2405.06443 (2024) - Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara:
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework. CoRR abs/2405.07441 (2024) - Jamie M. Taylor, David Pardo, Judit Muñoz-Matute:
Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations. CoRR abs/2405.14110 (2024) - 2023
- Marcin Los, Maciej Wozniak, Keshav Pingali, Luis E. García-Castillo, Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski:
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. Comput. Math. Appl. 151: 36-49 (2023) - David Boix-Cots, Francesc Pardo-Bosch, Pablo Pujadas:
A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems. Expert Syst. Appl. 216: 119471 (2023) - Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno:
Ring attractor bio-inspired neural network for social robot navigation. Frontiers Neurorobotics 17 (2023) - Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno:
Corrigendum: Ring attractor bio-inspired neural network for social robot navigation. Frontiers Neurorobotics 17 (2023) - David Boix-Cots, Francesc Pardo-Bosch, Pablo Pujadas:
A systematic review on multi-criteria group decision-making methods based on weights: Analysis and classification scheme. Inf. Fusion 96: 16-36 (2023) - Luis F. Contreras, David Pardo, Eduardo Abreu, Judit Muñoz-Matute, Ciro Díaz, Juan Galvis:
An exponential integration generalized multiscale finite element method for parabolic problems. J. Comput. Phys. 479: 112014 (2023) - Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic:
Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom. J. Learn. Anal. 10(3): 64-86 (2023) - Elena Garces, Victor Arellano, Carlos Rodríguez-Pardo, David Pascual-Hernández, Sergio Suja, Jorge Lopez-Moreno:
Towards Material Digitization with a Dual-scale Optical System. ACM Trans. Graph. 42(4): 152:1-152:13 (2023) - Carlos Rodríguez-Pardo, Henar Dominguez-Elvira, David Pascual-Hernández, Elena Garces:
UMat: Uncertainty-Aware Single Image High Resolution Material Capture. CVPR 2023: 5764-5774 - José Sánchez del Río Sáez, Alba López Laguna, Martín Andolfi, Álvaro Merodio Pardo, Francisco Santos, Rafael Cascón, Alberto Brunete, David Patrizi, Antonio Vázquez-López, Xiang Ao, Abdulmalike Yusuf, Deyi Wang:
LoRA Smart Sensors for IoT Fire and Ground Motion Safety. exp.at 2023: 271-274 - Carlos Uriarte, Jamie M. Taylor, David Pardo, Oscar A. Rodríguez, Patrick Vega:
Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks. ICCS (2) 2023: 509-516 - Javier Lloret Pardo, Marielle Guirlet, Amir Alwash, Vincent De Vevey, David Nogueiras Blanco, Laetizia Sabatini Choquard, René Schneider:
One Dataset - Three Stories: Data Storytelling for Climate Change Awareness. IV 2023: 194-197 - Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee:
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. CoRR abs/2304.01722 (2023) - Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo:
Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. CoRR abs/2304.01802 (2023) - Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga:
Deep Fourier Residual method for solving time-harmonic Maxwell's equations. CoRR abs/2305.09578 (2023) - Carlos Rodríguez-Pardo, Henar Dominguez-Elvira, David Pascual-Hernández, Elena Garces:
UMat: Uncertainty-Aware Single Image High Resolution Material Capture. CoRR abs/2305.16312 (2023) - Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski:
Robust Variational Physics-Informed Neural Networks. CoRR abs/2308.16910 (2023)
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