José Eladio Medina-Pagola

José Fco. Martínez-Trinidad

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

Multi-graph Frequent Approximate Subgraph Mining for Image Clustering.

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[DOI]

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

UO_IRO: Linguistic Informed Deep-learning Model for Irony Detection.

[BibT_eX]

[DOI]

Reynier Ortega Bueno

Proceedings of the Sixth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2018) co-located with the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018), 2018

Improving Attitude Words Classification for Opinion Mining Using Word Embedding.

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[DOI]

Reynier Ortega Bueno

Carlos Enrique Muñiz-Cuza

Paolo Rosso

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.

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[DOI]

José Fco. Martínez-Trinidad

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

Mining Generalized Closed Patterns from Multi-graph Collections.

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[DOI]

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.

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[DOI]

Knowl. Based Syst., 2016

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

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[DOI]

Eng. Appl. Artif. Intell., 2016

2015

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

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[DOI]

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

Exploring Random Indexing for Profile Learning.

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[DOI]

Adrian Fonseca Bruzón

Aurelio López-López

José Medina-Pagola

Proceedings of the Future and Emergent Trends in Language Technology, 2015

2014

Representative Pattern Mining in Graph Collections.

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[DOI]

José Fco. Martínez-Trinidad

Res. Comput. Sci., 2014

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

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[DOI]

Annette Morales-González

Edel B. García Reyes

Pattern Recognit., 2014

2013

An algorithm based on density and compactness for dynamic overlapping clustering.

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[DOI]

Pattern Recognit., 2013

OClustR: A new graph-based algorithm for overlapping clustering.

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[DOI]

Neurocomputing, 2013

Feature Space Reduction for Graph-Based Image Classification.

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[DOI]

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.

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[DOI]

Knowl. Based Syst., 2012

A dynamic clustering algorithm for building overlapping clusters.

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[DOI]

Intell. Data Anal., 2012

A New Overlapping Clustering Algorithm Based on Graph Theory.

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[DOI]

Proceedings of the Advances in Artificial Intelligence, 2012

Image Classification Using Frequent Approximate Subgraphs.

[BibT_eX]

[DOI]

Annette Morales-González

Edel B. García Reyes

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

On Speeding up Frequent Approximate Subgraph Mining.

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[DOI]

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

2011

Classification of Attitude Words for Opinion Mining.

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[DOI]

Laritza Hernández Rojas

Aurelio López-López

Int. J. Comput. Linguistics Appl., 2011

Reducing the Number of Canonical Form Tests for Frequent Subgraph Mining.

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[DOI]

Ansel Y. Rodríguez González

Computación y Sistemas, 2011

Tuning semantic association for modelling textual data.

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[DOI]

Juan M. Otero

Proceedings of the Fifth IEEE International Conference on Research Challenges in Information Science, 2011

2010

A new algorithm for mining frequent connected subgraphs based on adjacency matrices.

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[DOI]

Abel Puentes-Luberta

Intell. Data Anal., 2010

Full duplicate candidate pruning for frequent connected subgraph mining.

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[DOI]

Integr. Comput. Aided Eng., 2010

Text Segmentation by Clustering Cohesion.

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[DOI]

Raúl Abella Pérez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009

Duplicate Candidate Elimination and Fast Support Calculation for Frequent Subgraph Mining.

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[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

A New Incremental Algorithm for Overlapped Clustering.

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[DOI]

Proceedings of the Progress in Pattern Recognition, 2009

2008

A Compressed Vertical Binary Algorithm for Mining Frequent Patterns.

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[DOI]

José Hernández Palancar

Raudel Hernández-León

Proceedings of the Data Mining: Foundations and Practice, 2008

Mining Frequent Connected Subgraphs Reducing the Number of Candidates.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A New Graph-Based Algorithm for Clustering Documents.

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[DOI]

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

A Clustering Algorithm Based on Generalized Stars.

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[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Document Representation Using Global Association Distance Model.

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[DOI]

Ansel Y. Rodríguez González

José Hernández Palancar

Proceedings of the Advances in Information Retrieval, 2007

TextLec: A Novel Method of Segmentation by Topic Using Lower Windows and Lexical Cohesion.

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[DOI]

Laritza Hernández Rojas

Proceedings of the Progress in Pattern Recognition, 2007

Formal Distance vs. Association Strength in Text Processing.

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[DOI]

Ansel Y. Rodríguez González

Proceedings of the Progress in Pattern Recognition, 2007

ACONS: A New Algorithm for Clustering Documents.

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[DOI]

Proceedings of the Progress in Pattern Recognition, 2007

2005

Similarity Measures in Documents Using Association Graphs.

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[DOI]

Ernesto Guevara Martínez

José Hernández Palancar