| Frequent approximate subgraphs as features for graph-based image classification N Acosta-Mendoza, A Gago-Alonso, JE Medina-Pagola Knowledge-Based Systems 27, 381-392, 2012 | 100 | 2012 |
| A new proposal for graph-based image classification using frequent approximate subgraphs A Morales-Gonzalez, N Acosta-Mendoza, A Gago-Alonso, ... Pattern Recognition 47 (1), 169-177, 2014 | 40 | 2014 |
| Learning to assemble classifiers via genetic programming N Acosta-Mendoza, A Morales-Reyes, HJ Escalante, A Gago-Alonso International Journal of Pattern Recognition and Artificial Intelligence 28 …, 2014 | 24 | 2014 |
| Image classification using frequent approximate subgraphs N Acosta-Mendoza, A Morales-González, A Gago-Alonso, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 16 | 2012 |
| Consideraciones sobre la biología pesquera de la sierra, Scomberomorus maculatus (Mitchill), en el Estado de Veracruz NA Mendoza Bios 1 (2), 11-22, 1968 | 15 | 1968 |
| Improving graph-based image classification by using emerging patterns as attributes N Acosta-Mendoza, A Gago-Alonso, JA Carrasco-Ochoa, ... Engineering Applications of Artificial Intelligence 50, 215-225, 2016 | 14 | 2016 |
| Extension of canonical adjacency matrices for frequent approximate subgraph mining on multi-graph collections N Acosta-Mendoza, A Gago-Alonso, JA Carrasco-Ochoa, ... International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017 | 11 | 2017 |
| A new algorithm for approximate pattern mining in multi-graph collections N Acosta-Mendoza, A Gago-Alonso, JA Carrasco-Ochoa, ... Knowledge-Based Systems 109, 198-207, 2016 | 10 | 2016 |
| A Framework for Intrusion Detection based on Frequent Subgraph Mining V Herrera-Semenets, N Acosta-Mendoza, A Gago-Alonso The 2nd SDM Workshop on Mining Networks and Graphs: A Big Data Analytic …, 2015 | 10 | 2015 |
| On speeding up frequent approximate subgraph mining N Acosta-Mendoza, A Gago-Alonso, JE Medina-Pagola Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 10 | 2012 |
| A new proposal for graph classification using frequent geometric subgraphs A Gago-Alonso, A Muñoz-Briseño, N Acosta-Mendoza Data & Knowledge Engineering 87, 243-257, 2013 | 9 | 2013 |
| A new method based on graph transformation for FAS mining in multi-graph collections N Acosta-Mendoza, JA Carrasco-Ochoa, JF Martínez-Trinidad, ... Pattern Recognition: 7th Mexican Conference, MCPR 2015, Mexico City, Mexico …, 2015 | 8 | 2015 |
| Detección de anomalías basada en aprendizaje profundo: Revisión L López-Avila, N Acosta-Mendoza Revista Cubana de Ciencias Informáticas 13 (3), 107-123, 2019 | 7 | 2019 |
| Computing anomaly score threshold with autoencoders pipeline IA Fernández-Saúco, N Acosta-Mendoza, A Gago-Alonso, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 7 | 2019 |
| Genetic Programming of Heterogeneous Ensembles for Classification. HJ Escalante, N Acosta-Mendoza, A Morales-Reyes, A Gago-Alonso In Proceedings of the 18th Iberoamerican Congress on Pattern Recognition …, 2013 | 7 | 2013 |
| Mining generalized closed patterns from multi-graph collections N Acosta-Mendoza, A Gago-Alonso, JA Carrasco-Ochoa, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2018 | 6 | 2018 |
| Mining clique frequent approximate subgraphs from multi-graph collections N Acosta-Mendoza, JA Carrasco-Ochoa, JF Martínez-Trinidad, ... Applied Intelligence 50 (3), 878-892, 2020 | 5 | 2020 |
| Clasificación de imágenes basada en subconjunto de subgrafos frecuentes aproximados N Acosta-Mendoza Master’s thesis, The National Institute of Astrophysics, Optics and …, 2013 | 5 | 2013 |
| Feature Space Reduction for Grap-Based Image Classification N Acosta-Mendoza, A Gago-Alonso, JA Carrasco-Ochoa, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 5 | 2013 |
| Clasificación de imágenes utilizando minería de subgrafos frecuentes aproximados N Acosta-Mendoza, A Gago-Alonso, JE Medina-Pagola Revista Cubana de Ciencias Informáticas 5 (4), 1-10, 2011 | 5 | 2011 |
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