Niusvel Acosta-Mendoza

According to our database, Niusvel Acosta-Mendoza authored at least 21 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Mining clique frequent approximate subgraphs from multi-graph collections.

Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Andrés Gago Alonso, José Eladio Medina-Pagola

Appl. Intell., 2020

2019

Detecting Free Standing Conversational Group in Video Using Fuzzy Relations.

Elvis Ferrera-Cedeño, Niusvel Acosta-Mendoza, Andrés Gago Alonso, Edel B. García Reyes

Informatica, 2019

Detecting Steading Conversational Groups on an Still Image: A Single Relational Fuzzy Approach.

Elvis Ferrera-Cedeño, Niusvel Acosta-Mendoza, Andrés Gago Alonso

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Image Clustering Based on Frequent Approximate Subgraph Mining.

Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Andrés Gago Alonso, José Eladio Medina-Pagola

Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Multi-graph Frequent Approximate Subgraph Mining for Image Clustering.

Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, Andrés Gago Alonso, José Francisco Martínez Trinidad, José Eladio Medina-Pagola

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Improving Regression Models by Dissimilarity Representation of Bio-chemical Data.

Francisco José Silva-Mata, Catherine Jiménez, Gabriela Barcas, David Estevez-Bresó, Niusvel Acosta-Mendoza, Andrés Gago Alonso, Isneri Talavera-Bustamante

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Computing Anomaly Score Threshold with Autoencoders Pipeline.

Igr Alexánder Fernández-Saúco, Niusvel Acosta-Mendoza, Andrés Gago Alonso, Edel Bartolo García Reyes

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017

Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-Graph Collections.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, José Eladio Medina-Pagola

Int. J. Pattern Recognit. Artif. Intell., 2017

Mining Generalized Closed Patterns from Multi-graph Collections.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Eladio Medina-Pagola

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

A new algorithm for approximate pattern mining in multi-graph collections.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Eladio Medina-Pagola

Knowl. Based Syst., 2016

Improving graph-based image classification by using emerging patterns as attributes.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Eladio Medina-Pagola

Eng. Appl. Artif. Intell., 2016

2015

A New Method Based on Graph Transformation for FAS Mining in Multi-graph Collections.

Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Andrés Gago Alonso, José Eladio Medina-Pagola

Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

2014

Representative Pattern Mining in Graph Collections.

Niusvel Acosta-Mendoza, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Andrés Gago Alonso, José Eladio Medina-Pagola

Res. Comput. Sci., 2014

A new proposal for graph-based image classification using frequent approximate subgraphs.

Annette Morales-González, Niusvel Acosta-Mendoza, Andrés Gago Alonso, Edel B. García Reyes, José Eladio Medina-Pagola

Pattern Recognit., 2014

Learning to Assemble Classifiers via Genetic Programming.

Niusvel Acosta-Mendoza, Alicia Morales-Reyes, Hugo Jair Escalante, Andrés Gago Alonso

Int. J. Pattern Recognit. Artif. Intell., 2014

2013

A new proposal for graph classification using frequent geometric subgraphs.

Andrés Gago Alonso, Alfredo Muñoz-Briseño, Niusvel Acosta-Mendoza

Data Knowl. Eng., 2013

Genetic Programming of Heterogeneous Ensembles for Classification.

Hugo Jair Escalante, Niusvel Acosta-Mendoza, Alicia Morales-Reyes, Andrés Gago Alonso

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Feature Space Reduction for Graph-Based Image Classification.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Eladio Medina-Pagola

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012

Frequent approximate subgraphs as features for graph-based image classification.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, José Eladio Medina-Pagola

Knowl. Based Syst., 2012

Image Classification Using Frequent Approximate Subgraphs.

Niusvel Acosta-Mendoza, Annette Morales-González, Andrés Gago Alonso, Edel B. García Reyes, José Eladio Medina-Pagola

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

On Speeding up Frequent Approximate Subgraph Mining.

Niusvel Acosta-Mendoza, Andrés Gago Alonso, José Eladio Medina-Pagola

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012