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ORCIDMiguel Lastra
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Journal Articles
- 2024
[j9]Luis Balderas
, Miguel Lastra, José Manuel Benítez:
An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning. Big Data Cogn. Comput. 8(9): 120 (2024)- [j8]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing dense feed-forward neural networks. Neural Networks 171: 229-241 (2024) - 2018
- [j7]Miguel Lastra, Manuel Jesús Castro Díaz, Carlos Ureña, Marc de la Asunción:
Efficient multilayer shallow-water simulation system based on GPUs. Math. Comput. Simul. 148: 48-65 (2018) - 2017
- [j6]Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera:
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Prog. Artif. Intell. 6(4): 347-354 (2017) - 2016
- [j5]Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Inf. Sci. 373: 165-182 (2016) - 2015
- [j4]Miguel Lastra, Daniel Molina, José Manuel Benítez:
A high performance memetic algorithm for extremely high-dimensional problems. Inf. Sci. 293: 35-58 (2015) - [j3]Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera:
Fast fingerprint identification using GPUs. Inf. Sci. 301: 195-214 (2015) - 2014
- [j2]Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez:
A High Performance Fingerprint Matching System for Large Databases Based on GPU. IEEE Trans. Inf. Forensics Secur. 9(1): 62-71 (2014) - 2009
- [j1]Miguel Lastra, José Miguel Mantas, Carlos Ureña, Manuel Jesús Castro Díaz, José Antonio García-Rodríguez:
Simulation of shallow-water systems using graphics processing units. Math. Comput. Simul. 80(3): 598-618 (2009)
Conference and Workshop Papers
- 2022
- [c9]Luis Balderas, Miguel Lastra, Antonio J. Láinez-Ramos-Bossini, José Manuel Benítez:
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers. ISDA (3) 2022: 81-90 - 2008
- [c8]Miguel Lastra, Carlos Ureña, Jirí Bittner, Rubén Jesús García, Rosana Montes:
Estimación de Densidades usando GPUs. CEIG 2008: 37-46 - [c7]Rosana Montes, Carlos Ureña, Miguel Lastra, Rubén Jesús García:
Un Algoritmo de Muestreo exacto para BRDFs Arbitrarias. CEIG 2008: 199-208 - [c6]Rosana Montes, Carlos Ureña, Rubén Jesús García, Miguel Lastra:
Generic BRDF Sampling - A Sampling Method for Global Illumination. GRAPP 2008: 191-198 - [c5]Rosana Montes, Carlos Ureña, Rubén Jesús García, Miguel Lastra:
An Importance Sampling Method for Arbitrary BRDFs. VISIGRAPP (Selected Papers) 2008: 41-54 - 2004
- [c4]Rubén Jesús García, Carlos Ureña, Miguel Lastra, Rosana Montes, Jorge Revelles:
Interactive Global Illumination for Quasi-Static Scenes. Computer Graphics International 2004: 128-131 - 2003
- [c3]Jorge Revelles, N. Aguilera, J. Aguado, Miguel Lastra, Rubén Jesús García, Rosana Montes:
A Spatial Representation for Ray-Scene Intersection Test Improvement in Complex Scenes. Eurographics (Posters) 2003 - [c2]Jorge Revelles, Miguel Lastra, Rosana Montes, P. Cano:
A Formal Framework for Analysis and Comparison of Simple Ray-Scene Intersection Test Improvement. WSCG 2003 - 2000
- [c1]Jorge Revelles, Carlos Ureña, Miguel Lastra:
An Efficient Parametric Algorithm for Octree Traversal. WSCG 2000
Informal and Other Publications
- 2024
- [i4]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing Convolutional Neural Network Architecture. CoRR abs/2401.01361 (2024) - [i3]Juan Soto, Ramón Carmenaty, Miguel Lastra, Juan M. Fernández-Luna, José Manuel Benítez:
Sports center customer segmentation: a case study. CoRR abs/2405.17467 (2024) - 2023
- [i2]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing Dense Feed-Forward Neural Networks. CoRR abs/2312.10560 (2023) - [i1]Luis Balderas, Miguel Lastra, José Manuel Benítez:
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression. CoRR abs/2312.10702 (2023)
Coauthor Index
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