E-LIB Suche - Ergebnisse für: García Vico, Ángel Miguel

1

An Evolutionary Fuzzy System for Multiclustering in Data St..:

Martos, Luis Alfonso Pérez ; García-Vico, Ángel Miguel ; González, Pedro.
Procedia Computer Science. 230 (2023) - p. 33-43 , 2023

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

2

Exploring the implementation of LSTM inference on FPGA:

, In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME),

Gonzalez, Manuel L. ; Lozada, Randy ; Ruiz, Jorge... - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

3

Consumption–Production Profile Categorization in Energy Com..:

Rozas, Wolfram ; Pastor-Vargas, Rafael ; García-Vico, Angel Miguel.
Energies. 16 (2023) 19 - p. 6996 , 2023

Link: https://doi.org/10.3390/..

4

A Multiclustering Evolutionary Hyperrectangle-Based Algorit..:

Martos, Luis Alfonso Pérez ; García-Vico, Ángel Miguel ; González, Pedro.
International Journal of Computational Intelligence Systems. 16 (2023) 1 - p. , 2023

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

5

TSFEDL: A python library for time series spatio-temporal fe..:

Aguilera Martos, Ignacio ; García Vico, Ángel Miguel ; Luengo Martín, Julián...
Original Software Publication;Vol. 517, pages 223-228. , 2023

Link: https://hdl.handle.net/1..

6

A Case of Study with the Clustering R Library to Measure th..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,

Martos, Luis Alfonso Pérez ; García-Vico, Ángel Miguel ; González, Pedro. - p. 88-97 , 2022

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

7

Clustering: an R library to facilitate the analysis and com..:

Martos, Luis Alfonso Pérez ; García-Vico, Ángel Miguel ; González, Pedro.
Progress in Artificial Intelligence. 12 (2022) 1 - p. 33-44 , 2022

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

8

Clustering: an R library to facilitate the analysis and com..:

Pérez Martos, Luis Alfonso ; García Vico, Ángel Miguel
Martos, L.A.P. [et al.]. Clustering: an R library to facilitate the analysis and comparison of cluster algorithms. Prog Artif Intell (2022). [https://doi.org/10.1007/s13748-022-00294-2]. , 2022

Link: https://hdl.handle.net/1..

9

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy..:

García-Vico, Ángel Miguel ; Charte, Francisco ; González, Pedro..
Neurocomputing. 415 (2020) - p. 60-73 , 2020

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

10

A Preliminary Many Objective Approach for Extracting Fuzzy ..:

, In: Advances in Intelligent Systems and Computing; 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020),

Garcia-Vico, Angel Miguel ; Carmona, Cristobal J. ; Gonzalez, Pedro. - p. 100-110 , 2020

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

11

Modelos descriptivos basados en aprendizaje supervisado par..:

García Vico, Ángel Miguel
p.[http://hdl.handle.net/10953/]. , 2020

Link: https://hdl.handle.net/1..

12

Study on the use of different quality measures within a mul..:

García-Vico, Ángel Miguel ; González, Pedro ; Carmona, Cristóbal José.
Big Data Analytics. 4 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

13

A Big Data Approach for the Extraction of Fuzzy Emerging Pa..:

García-Vico, Ángel Miguel ; González, Pedro ; Carmona, Cristóbal José.
Cognitive Computation. 11 (2019) 3 - p. 400-417 , 2019

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

14

Improvement of subgroup descriptions in noisy data by detec..:

González, Pedro ; García-Vico, Ángel Miguel ; Carmona, Cristóbal José.
Progress in Artificial Intelligence. 7 (2017) 1 - p. 55-64 , 2017

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

15

ALGORITMOS EVOLUTIVOS DE MINERÍA DE DATOS DESCRIPTIVA PARA ..:

García-Vico, Ángel Miguel
https://hdl.handle.net/10953.1/14182. , 2019

Link: https://hdl.handle.net/1..