E-LIB Suche - Ergebnisse für: Lastra, Miguel

1

Optimizing dense feed-forward neural networks:

Balderas, Luis ; Lastra, Miguel ; Benítez, José M.
Neural Networks. 171 (2024) - p. 229-241 , 2024

Link: https://doi.org/10.1016/..

2

COVID-ViT: COVID-19 Detection Method Based on Vision Transf..:

, In: Intelligent Systems Design and Applications; Lecture Notes in Networks and Systems,

Balderas, Luis ; Lastra, Miguel ; Láinez-Ramos-Bossini, Antonio J.. - p. 81-90 , 2023

Link: https://doi.org/10.1007/..

3

Efficient multilayer shallow-water simulation system based ..:

Lastra, Miguel ; Castro Díaz, Manuel J. ; Ureña, Carlos.
Mathematics and Computers in Simulation. 148 (2018) - p. 48-65 , 2018

Link: https://doi.org/10.1016/..

4

SMOTE-GPU: Big Data preprocessing on commodity hardware for..:

Gutiérrez, Pablo D. ; Lastra, Miguel ; Benítez, José M..
Progress in Artificial Intelligence. 6 (2017) 4 - p. 347-354 , 2017

Link: https://doi.org/10.1007/..

5

GPU-SME- k NN: Scalable and memory efficient k NN and lazy ..:

Gutiérrez, Pablo D. ; Lastra, Miguel ; Bacardit, Jaume..
Information Sciences. 373 (2016) - p. 165-182 , 2016

Link: https://doi.org/10.1016/..

6

A high performance memetic algorithm for extremely high-dim..:

Lastra, Miguel ; Molina, Daniel ; Benítez, José M.
Information Sciences. 293 (2015) - p. 35-58 , 2015

Link: https://doi.org/10.1016/..

7

Fast fingerprint identification using GPUs:

Lastra, Miguel ; Carabaño, Jesús ; Gutiérrez, Pablo D...
Information Sciences. 301 (2015) - p. 195-214 , 2015

Link: https://doi.org/10.1016/..

8

Simulation of shallow-water systems using graphics processi..:

Lastra, Miguel ; Mantas, José M. ; Ureña, Carlos..
Mathematics and Computers in Simulation. 80 (2009) 3 - p. 598-618 , 2009

Link: https://doi.org/10.1016/..

9

Evaluación de la suficiencia léxica de estudiantes taiwanes..:

Rubio Lastra, Miguel
Linred - Lingüística en la red. 17 (2020) - p. , 2020

Link: https://doi.org/10.37536..

10

Can persistent homology whiten Transformer-based black-box ..:

Balderas, Luis ; Lastra, Miguel ; Benítez, José M
http://arxiv.org/abs/2312.10702. , 2023

Link: http://arxiv.org/abs/231..

11

Optimizing Dense Feed-Forward Neural Networks:

Balderas, Luis ; Lastra, Miguel ; Benítez, José M
http://arxiv.org/abs/2312.10560. , 2023

Link: http://arxiv.org/abs/231..

12

Optimizing Convolutional Neural Network Architecture:

Balderas, Luis ; Lastra, Miguel ; Benítez, José M
http://arxiv.org/abs/2401.01361. , 2023

Link: http://arxiv.org/abs/240..

13

Implantación de la metodología de clase al revés en una asi..:

Medina-Medina, Nuria ; Callejas, Zoraida ; Velasco, Francisco...
https://aenui.org/actas/indice_e.html#anio2022. , 2022

Link: http://hdl.handle.net/10..

14

UNIVERSITY STUDENTS DEVELOPING IMAGINATIVE PROBLEM SOLVING ..:

Torrecilla, José ; Aguado, Roberto ; Tijero, Antonio...
4th International Conference on Higher Education Advances (HEAD'18). , 2018

Link: http://hdl.handle.net/10..

15

[Traslado del testamento de Miguel Lastra, vecino de Villan..:

Lastra, Miguel ; Sánchez, Francisco Narciso ; Gómez Rubio, Domingo
Forma parte de: : García Mora, José (1829-1910). . Archivo de José García Mora "Cura Mora" . - . BA-BEX, CAJA 13-15, FA-M 304-378. - Documentos de la Iglesia de Nuestra Señora de la Concepción (Villanueva de la Vera, Cáceres). , 1828

Link: http://ciconia.gobex.es/..