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Miguel Lastra
Miguel Lastra
Profesor Contratado Doctor de la Universidad de Granada (Associate Professor)
Verified email at ugr.es
Title
Cited by
Cited by
Year
An efficient parametric algorithm for octree traversal
J Revelles, C Urena, M Lastra
Václav Skala-UNION Agency, 2000
1732000
A high performance fingerprint matching system for large databases based on GPU
PD Gutierrez, M Lastra, F Herrera, JM Benítez
IEEE Transactions on Information Forensics and Security 9 (1), 62-71, 2013
822013
Simulation of shallow-water systems using graphics processing units
M Lastra, JM Mantas, C Ureña, MJ Castro, JA García-Rodríguez
Mathematics and Computers in Simulation 80 (3), 598-618, 2009
682009
A high performance memetic algorithm for extremely high-dimensional problems
M Lastra, D Molina, JM Benítez
Information Sciences 293, 35-58, 2015
392015
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs
PD Gutiérrez, M Lastra, J Bacardit, JM Benítez, F Herrera
Information Sciences 373, 165-182, 2016
382016
Fast fingerprint identification using GPUs
M Lastra, J Carabaño, PD Gutiérrez, JM Benítez, F Herrera
Information Sciences 301, 195-214, 2015
372015
A particle-path based method for Monte-Carlo density estimation
M Lastra, C Urena, J Revelles, R Montes
Poster at: 13th EUROGRAPHICS Workshop on Rendering, 2002
342002
SMOTE-GPU: Big data preprocessing on commodity hardware for imbalanced classification
PD Gutiérrez, M Lastra, JM Benítez, F Herrera
Progress in Artificial Intelligence 6, 347-354, 2017
322017
Efficient multilayer shallow-water simulation system based on gpus
M Lastra, MJC Díaz, C Ureña, M de la Asunción
Mathematics and Computers in Simulation 148, 48-65, 2018
102018
GENERIC BRDF SAMPLING-A Sampling Method for Global Illumination
R Montes, C Urena, R García, M Lastra
International Conference on Computer Graphics Theory and Applications 2, 191-198, 2008
62008
A density estimation technique for radiosity
M Lastra, C Ureña, J Revelles, R Montes
In Ibero-American Symposium in Computer Graphics (SIACG’2002, 2002
6*2002
A formal framework approach for ray-scene intersection test improvement
J Revelles, M Lastra, R Montes, P Cano
UNION Agency, 2003
52003
Optimizing dense feed-forward neural networks
L Balderas, M Lastra, JM Benítez
Neural Networks 171, 229-241, 2024
42024
Density estimation optimizations for global illumination
R Garcia, C Urena, J Revelles, M Lastra, R Montes
Václav Skala-UNION Agency, 2006
32006
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers
L Balderas, M Lastra, AJ Láinez-Ramos-Bossini, JM Benítez
International Conference on Intelligent Systems Design and Applications, 81-90, 2022
22022
Optimizing Convolutional Neural Network Architectures
L Balderas, M Lastra, JM Benítez
Mathematics 12 (19), 3032, 2024
12024
GPU Processing for Biometric Big Data Based Identification. Why and what for?
M Lastra, PD Gutiérrez, JM Benítez, F Herrera
Biostatistics and Biometrics Open Access Journal 2 (1), 2017
12017
An Importance Sampling Method for Arbitrary BRDFs
R Montes, C Urena, R García, M Lastra
Computer Vision and Computer Graphics. Theory and Applications …, 2009
12009
Un Algoritmo de Muestreo exacto para BRDFs Arbitrarias.
R Montes, C Ureña, M Lastra, RJ García
CEIG, 199-208, 2008
12008
Interactive global illumination for quasi-static scenes
RJ Garcia, C Urena, M Lastra, R Montes, J Revelles
Proceedings Computer Graphics International, 2004., 128-131, 2004
12004
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Articles 1–20