E-LIB Suche - Ergebnisse für: Gago-Alonso, Andrés

1

Mining clique frequent approximate subgraphs from multi-gra..:

Acosta-Mendoza, Niusvel ; Carrasco-Ochoa, Jesús Ariel ; Martínez-Trinidad, José Francisco..
Applied Intelligence. 50 (2019) 3 - p. 878-892 , 2019

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

2

Improving Regression Models by Dissimilarity Representation..:

, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science,

Silva-Mata, Francisco Jose ; Jiménez, Catherine ; Barcas, Gabriela... - p. 64-71 , 2019

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

3

Computing Anomaly Score Threshold with Autoencoders Pipelin:

, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science,

Fernández-Saúco, Igr Alexánder ; Acosta-Mendoza, Niusvel ; Gago-Alonso, Andrés. - p. 237-244 , 2019

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

4

Detecting Steading Conversational Groups on an Still Image:..:

, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science,

Ferrera-Cedeño, Elvis ; Acosta-Mendoza, Niusvel ; Gago-Alonso, Andrés - p. 241-250 , 2019

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

5

Multi-graph Frequent Approximate Subgraph Mining for Image ..:

, In: Progress in Artificial Intelligence and Pattern Recognition; Lecture Notes in Computer Science,

Acosta-Mendoza, Niusvel ; Carrasco-Ochoa, Jesús Ariel ; Gago-Alonso, Andrés.. - p. 133-140 , 2018

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

6

Improving graph-based image classification by using emergin..:

Acosta-Mendoza, Niusvel ; Gago-Alonso, Andrés ; Carrasco-Ochoa, Jesús Ariel..
Engineering Applications of Artificial Intelligence. 50 (2016) - p. 215-225 , 2016

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

7

A novel geometric graph miner and its applications:

Muñoz-Briseño, Alfredo ; Lara-Alvarez, Gustavo ; Gago-Alonso, Andrés.
Pattern Recognition Letters. 84 (2016) - p. 208-214 , 2016

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

8

A new algorithm for approximate pattern mining in multi-gra..:

Acosta-Mendoza, Niusvel ; Gago-Alonso, Andrés ; Carrasco-Ochoa, Jesús Ariel..
Knowledge-Based Systems. 109 (2016) - p. 198-207 , 2016

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

9

A new proposal for graph-based image classification using f..:

Morales-González, Annette ; Acosta-Mendoza, Niusvel ; Gago-Alonso, Andrés..
Pattern Recognition. 47 (2014) 1 - p. 169-177 , 2014

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

10

A new proposal for graph classification using frequent geom..:

Gago-Alonso, Andrés ; Muñoz-Briseño, Alfredo ; Acosta-Mendoza, Niusvel
Data & Knowledge Engineering. 87 (2013) - p. 243-257 , 2013

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

11

Indexing and retrieving in fingerprint databases under stru..:

Gago-Alonso, Andrés ; Hernández-Palancar, José ; Rodríguez-Reina, Ernesto.
Expert Systems with Applications. 40 (2013) 8 - p. 2858-2871 , 2013

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

12

Fingerprint indexing with bad quality areas:

Muñoz-Briseño, Alfredo ; Gago-Alonso, Andrés ; Hernández-Palancar, José
Expert Systems with Applications. 40 (2013) 5 - p. 1839-1846 , 2013

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

13

Frequent approximate subgraphs as features for graph-based ..:

Acosta-Mendoza, Niusvel ; Gago-Alonso, Andrés ; Medina-Pagola, José E.
Knowledge-Based Systems. 27 (2012) - p. 381-392 , 2012

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

14

GUI de MATLAB para la evaluación del potencial eólico en si..:

Niusvel Acosta Mendoza ; Andrés Gago Alonso ; José Eladio Medina Pagola..
https://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=897&path[]=305. , 2015

Link: https://doaj.org/article..

15

Connected Permutations of Vertices for Canonical Form Detec..:

Andrés Gago-Alonso
http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=903&path[]=379. , 2015

Link: https://doaj.org/article..