Miguel Lastra
Miguel Lastra
Profesor Contratado Doctor de la Universidad de Granada (Associate Professor)
Verified email at
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An efficient parametric algorithm for octree traversal
J Revelles, C Urena, M Lastra
Václav Skala-UNION Agency, 2000
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
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
A high performance memetic algorithm for extremely high-dimensional problems
M Lastra, D Molina, JM Benítez
Information Sciences 293, 35-58, 2015
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
Fast fingerprint identification using GPUs
M Lastra, J Carabaño, PD Gutiérrez, JM Benítez, F Herrera
Information Sciences 301, 195-214, 2015
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
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
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
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
A density estimation technique for radiosity
M Lastra, C Ureña, J Revelles, R Montes
In Ibero-American Symposium in Computer Graphics (SIACG’2002, 2002
A formal framework approach for ray-scene intersection test improvement
J Revelles, M Lastra, R Montes, P Cano
UNION Agency, 2003
Density estimation optimizations for global illumination
R Garcia, C Urena, J Revelles, M Lastra, R Montes
Václav Skala-UNION Agency, 2006
Optimizing dense feed-forward neural networks
L Balderas, M Lastra, JM Benítez
Neural Networks 171, 229-241, 2024
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
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
An Importance Sampling Method for Arbitrary BRDFs
R Montes, C Urena, R García, M Lastra
Computer Vision and Computer Graphics. Theory and Applications …, 2009
Un Algoritmo de Muestreo exacto para BRDFs Arbitrarias.
R Montes, C Ureña, M Lastra, RJ García
CEIG, 199-208, 2008
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
A Spatial Representation for Ray-Scene Intersection Test Improvement in Complex Scenes.
J Revelles, N Aguilera, J Aguado, M Lastra, RJ García, R Montes
Eurographics (Posters), 2003
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