Asdrúbal López Chau

According to our database1, Asdrúbal López Chau authored at least 39 papers between 2010 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 




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

Analyzing Polarization through Social Media with Artificial Intelligence: The Mexican Presidential Election in 2018.
Proceedings of the 20th Annual International Conference on Digital Government Research, 2019

Design of a Horizontal Data Fragmentation, Allocation and Replication Method in the Cloud.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

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

Aplicación web e-learning multiplataforma para recolección de datos de usuarios y retroalimentación automática basada en técnicas estadísticas.
Res. Comput. Sci., 2017

Automatic Classification of Lobed Simple and Unlobed Simple Leaves for Plant Identification.
Res. Comput. Sci., 2017

Preliminary Results of an Analysis Using Association Rules to Find Relations between Medical Opinions About the non-Realization of Autopsies in a Mexican Hospital.
Res. Comput. Sci., 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

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

Propagación de malware: propuesta de modelo para simulación y análisis.
Res. Comput. Sci., 2016

Plant identification using new geometric features with standard data mining methods.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 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

Captura de datos para análisis de la dinámica del tecleo de números para sistema operativo Android.
Res. Comput. Sci., 2015

Árbol de decisión C4.5 basado en entropía minoritaria para clasificación de conjuntos de datos no balanceados.
Res. Comput. Sci., 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

Método rápido de preprocesamiento para clasificación en conjuntos de datos no balanceados.
Res. Comput. Sci., 2014

Support vector machine classification for large datasets using decision tree and Fisher linear discriminant.
Future Gener. Comput. Syst., 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

Large data sets classification using convex-concave hull and support vector machine.
Soft Comput., 2013

Convex and concave hulls for classification with support vector machine.
Neurocomputing, 2013

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

Classification of Mexican Paper Currency Denomination by Extracting Their Discriminative Colors.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

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

Data Selection Using Decision Tree for SVM Classification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Convex-Concave Hull for Classification with Support Vector Machine.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

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

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