Miguel Lastra

23 papers C 1Misc 2Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning.
Big Data Cogn. Comput.
Luis Balderas, Miguel Lastra, José Manuel Benítez
2024 J jnl
Optimizing Convolutional Neural Network Architecture.
CoRR
Luis Balderas, Miguel Lastra, José Manuel Benítez
2024 J jnl
Optimizing dense feed-forward neural networks.
Neural Networks
Luis Balderas, Miguel Lastra, José Manuel Benítez
2024 — conf
Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal Prediction.
EXPLIMED@ECAI
Luis Balderas, María Moreno de Castro, Miguel Lastra, José Pablo Martínez, Francisco Javier Pérez, Antonio Láinez, Antonio Arauzo-Azofra, José Manuel Benítez
2024 J jnl
Sports center customer segmentation: a case study.
CoRR
Juan Soto, Ramón Carmenaty, Miguel Lastra, Juan M. Fernández-Luna, José Manuel Benítez
2023 J jnl
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression.
CoRR
Luis Balderas, Miguel Lastra, José Manuel Benítez
2023 J jnl
Optimizing Dense Feed-Forward Neural Networks.
CoRR
Luis Balderas, Miguel Lastra, José Manuel Benítez
2022 — conf
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers.
ISDA (3)
Luis Balderas, Miguel Lastra, Antonio J. Láinez-Ramos-Bossini, José Manuel Benítez
2018 J jnl
Efficient multilayer shallow-water simulation system based on GPUs.
Math. Comput. Simul.
Miguel Lastra, Manuel Jesús Castro Díaz, Carlos Ureña, Marc de la Asunción
2017 J jnl
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification.
Prog. Artif. Intell.
Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera
2016 J jnl
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs.
Inf. Sci.
Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
2015 J jnl
A high performance memetic algorithm for extremely high-dimensional problems.
Inf. Sci.
Miguel Lastra, Daniel Molina, José Manuel Benítez
2015 J jnl
Fast fingerprint identification using GPUs.
Inf. Sci.
Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera
2014 J jnl
A High Performance Fingerprint Matching System for Large Databases Based on GPU.
IEEE Trans. Inf. Forensics Secur.
Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez
2009 J jnl
Simulation of shallow-water systems using graphics processing units.
Math. Comput. Simul.
Miguel Lastra, José Miguel Mantas, Carlos Ureña, Manuel Jesús Castro Díaz, José Antonio García-Rodríguez
2008 — conf
An Importance Sampling Method for Arbitrary BRDFs.
VISIGRAPP (Selected Papers)
Rosana Montes, Carlos Ureña, Rubén Jesús García, Miguel Lastra
2008 — conf
Estimación de Densidades usando GPUs.
CEIG
Miguel Lastra, Carlos Ureña, Jirí Bittner, Rubén Jesús García, Rosana Montes
2008 — conf
Generic BRDF Sampling - A Sampling Method for Global Illumination.
GRAPP
Rosana Montes, Carlos Ureña, Rubén Jesús García, Miguel Lastra
2008 — conf
Un Algoritmo de Muestreo exacto para BRDFs Arbitrarias.
CEIG
Rosana Montes, Carlos Ureña, Miguel Lastra, Rubén Jesús García
2004 C conf
Interactive Global Illumination for Quasi-Static Scenes.
Computer Graphics International
Rubén Jesús García, Carlos Ureña, Miguel Lastra, Rosana Montes, Jorge Revelles
2003 Misc conf
A Formal Framework for Analysis and Comparison of Simple Ray-Scene Intersection Test Improvement.
WSCG
Jorge Revelles, Miguel Lastra, Rosana Montes, P. Cano
2003 — conf
A Spatial Representation for Ray-Scene Intersection Test Improvement in Complex Scenes.
Eurographics (Posters)
Jorge Revelles, N. Aguilera, J. Aguado, Miguel Lastra, Rubén Jesús García, Rosana Montes
2000 Misc conf
An Efficient Parametric Algorithm for Octree Traversal.
WSCG
Jorge Revelles, Carlos Ureña, Miguel Lastra