Jair Cervantes

Neural Comput. Appl., 2018

Segmentation of images by color features: A survey.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Contrast Enhancement of RGB Color Images by Histogram Equalization of Color Vectors' Intensities.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Complex Identification of Plants from Leaves.

[BibT_eX]

[DOI]

Alfonso Zarco Hidalgo

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017

Active rule base development for dynamic vertical partitioning of multimedia databases.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2017

PSO-based method for SVM classification on skewed data sets.

[BibT_eX]

[DOI]

Adrián Trueba

Neurocomputing, 2017

Assigning-Tasks Method for Developers in Software Projects Using up Similarity Coefficients.

[BibT_eX]

[DOI]

Proceedings of the Applied Computer Sciences in Engineering, 2017

Leaf Categorization Methods for Plant Identification.

[BibT_eX]

[DOI]

Rafael Rojas-Hernández

Valentin Trujillo-Mora

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016

A general perspective of Big Data: applications, tools, challenges and trends.

[BibT_eX]

[DOI]

Cristian Aarón Rodríguez-Enríquez

José Luis Sánchez-Cervantes

Jorge Luis García-Alcaraz

Giner Alor-Hernández

J. Supercomput., 2016

Mejora del desempeño de SVM usando un GA y la creación de puntos artificiales para conjuntos de datos no balanceados.

[BibT_eX]

[DOI]

José Hernández Santiago

Jair Cervantes Canales

Carlos Hiram Moreno Montiel

Beatriz Hernández Santiago

Res. Comput. Sci., 2016

Improving the Performance of Leaves Identification by Features Selection with Genetic Algorithms.

[BibT_eX]

[DOI]

Laura D. Jalili

Alfredo Morales

Proceedings of the Applied Computer Sciences in Engineering, 2016

A Model for Knowledge Management in Software Industry.

[BibT_eX]

[DOI]

Yulia Ledeneva

Adrián Trueba

Proceedings of the Applied Computer Sciences in Engineering, 2016

Computing the Number of Groups for Color Image Segmentation Using Competitive Neural Networks and Fuzzy C-Means.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

Is There a Relationship Between Neighborhoods of Minority Class Instances and the Performance of Classification Methods?

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

Recognition of Mexican Sign Language from Frames in Video Sequences.

[BibT_eX]

[DOI]

Arturo Yee Rendón

Proceedings of the Intelligent Computing Theories and Application, 2016

2015

Data selection based on decision tree for SVM classification on large data sets.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

Color Characterization Comparison for Machine Vision-Based Fruit Recognition.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Classification on Imbalanced Data Sets, Taking Advantage of Errors to Improve Performance.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014

API de Google Maps para un mapa de conocimiento de los asesores especializados de un Centro de Desarrollo Empresarial.

[BibT_eX]

[DOI]

José Antonio Díaz García

Jair Cervantes Canales

Res. Comput. Sci., 2014

Imbalanced data classification via support vector machines and genetic algorithms.

[BibT_eX]

[DOI]

Connect. Sci., 2014

A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013

Fisher's decision tree.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

Using Genetic Algorithm to Improve Classification Accuracy on Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Classification of Mexican Paper Currency Denomination by Extracting Their Discriminative Colors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Soft Computing and Its Applications, 2013

A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.

[BibT_eX]

[DOI]

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

2012

Fast classification for large data sets via random selection clustering and Support Vector Machines.

[BibT_eX]

[DOI]

Intell. Data Anal., 2012

Recognition of Mexican banknotes via their color and texture features.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

DYMOND: an active system for dynamic vertical partitioning of multimedia databases.

[BibT_eX]

[DOI]

Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

Data Selection Using Decision Tree for SVM Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors.

[BibT_eX]

[DOI]

José Hernández Santiago

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2011

Border Samples Detection for Data Mining Applications Using Non Convex Hulls.

[BibT_eX]

[DOI]

Proceedings of the Advances in Soft Computing, 2011

A Fast SVM Training Algorithm Based on a Decision Tree Data Filter.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Support vector candidates pre selection strategy based on non convex hulls.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Electrical Engineering, 2010

A Novel SVM Classification Method for Large Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2009

2008

Support vector machine classification for large data sets via minimum enclosing ball clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Support Vector classification for large data sets by reducing training data with change of classes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2008

Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution.

[BibT_eX]

Proceedings of The 2008 International Conference on Data Mining, 2008

2007

Two-stage svm classification for large data sets via randomly reducing and recovering training data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2007

2006

Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets.

[BibT_eX]

[DOI]