Jair Cervantes

According to our database1, Jair Cervantes authored at least 44 papers between 2006 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors.
Pattern Anal. Appl., 2020

Color image segmentation using saturated RGB colors and decoupling the intensity from the hue.
Multim. Tools Appl., 2020

A comprehensive survey on support vector machine classification: Applications, challenges and trends.
Neurocomputing, 2020

2018
Analysis of Medical Opinions about the Nonrealization of Autopsies in a Mexican Hospital Using Association Rules and Bayesian Networks.
Sci. Program., 2018

Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity.
Neural Comput. Appl., 2018

Segmentation of images by color features: A survey.
Neurocomputing, 2018

Contrast Enhancement of RGB Color Images by Histogram Equalization of Color Vectors' Intensities.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Complex Identification of Plants from Leaves.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017
Active rule base development for dynamic vertical partitioning of multimedia databases.
J. Intell. Inf. Syst., 2017

PSO-based method for SVM classification on skewed data sets.
Neurocomputing, 2017

Assigning-Tasks Method for Developers in Software Projects Using up Similarity Coefficients.
Proceedings of the Applied Computer Sciences in Engineering, 2017

Leaf Categorization Methods for Plant Identification.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016
A general perspective of Big Data: applications, tools, challenges and trends.
J. Supercomput., 2016

Mejora del desempeño de SVM usando un GA y la creación de puntos artificiales para conjuntos de datos no balanceados.
Res. Comput. Sci., 2016

Improving the Performance of Leaves Identification by Features Selection with Genetic Algorithms.
Proceedings of the Applied Computer Sciences in Engineering, 2016

A Model for Knowledge Management in Software Industry.
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.
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?
Proceedings of the Intelligent Computing Theories and Application, 2016

Recognition of Mexican Sign Language from Frames in Video Sequences.
Proceedings of the Intelligent Computing Theories and Application, 2016

2015
Data selection based on decision tree for SVM classification on large data sets.
Appl. Soft Comput., 2015

Color Characterization Comparison for Machine Vision-Based Fruit Recognition.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Classification on Imbalanced Data Sets, Taking Advantage of Errors to Improve Performance.
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.
Res. Comput. Sci., 2014

Imbalanced data classification via support vector machines and genetic algorithms.
Connect. Sci., 2014

A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013
Fisher's decision tree.
Expert Syst. Appl., 2013

Using Genetic Algorithm to Improve Classification Accuracy on Imbalanced Data.
Proceedings of the IEEE International Conference on Systems, 2013

Classification of Mexican Paper Currency Denomination by Extracting Their Discriminative Colors.
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.
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.
Intell. Data Anal., 2012

Recognition of Mexican banknotes via their color and texture features.
Expert Syst. Appl., 2012

DYMOND: an active system for dynamic vertical partitioning of multimedia databases.
Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

Data Selection Using Decision Tree for SVM Classification.
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.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2011
Border Samples Detection for Data Mining Applications Using Non Convex Hulls.
Proceedings of the Advances in Soft Computing, 2011

A Fast SVM Training Algorithm Based on a Decision Tree Data Filter.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Support vector candidates pre selection strategy based on non convex hulls.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

A Novel SVM Classification Method for Large Data Sets.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Support vector machine classification for large data sets via minimum enclosing ball clustering.
Neurocomputing, 2008

Support Vector classification for large data sets by reducing training data with change of classes.
Proceedings of the IEEE International Conference on Systems, 2008

Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution.
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.
Proceedings of the IEEE International Conference on Systems, 2007

2006
Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006


  Loading...