Asdrúbal López Chau

Orcid: 0000-0001-5254-0939

According to our database1, Asdrúbal López Chau authored at least 51 papers between 2010 and 2023.

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Bibliography

2023
Results on the Empirical Design of a Residual Binary Multilayer Perceptron Architecture.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Construction of Domain-Specific Lexicons Based on Term Statistics.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Using Compiler Errors Messages to Feedback High School Students Through Machine Learning Methods.
Proceedings of the Advances in Computational Intelligence, 2023

2022
Emotion-Aware Explainable Artificial Intelligence for Personality, Emotion, and Mood Simulation.
Computación y Sistemas, 2022

Interoperability of Sensors in Buildings for Monitoring the Search for live Victims after Earthquakes.
Computación y Sistemas, 2022

Does Twitter Affect Stock Market Decisions? Financial Sentiment Analysis During Pandemics: A Comparative Study of the H1N1 and the COVID-19 Periods.
Cogn. Comput., 2022

Convolutional Neural Networks Applied to Emotion Analysis in Texts: Experimentation from the Mexican Context.
Proceedings of the Knowledge Graphs and Semantic Web, 2022

2021
An Improvement to FRAGMENT: A Web Application for Database Fragmentation, Allocation, and Replication Over a Cloud Environment.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

How much do Twitter posts affect voters? Analysis of the multi-emotional charge with affective computing in political campaigns.
Proceedings of the DG.O'21: The 22nd Annual International Conference on Digital Government Research, 2021

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

Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review.
Entropy, 2020

Impression analysis of trending topics in Twitter with classification algorithms.
Proceedings of the ICEGOV 2020: 13th International Conference on Theory and Practice of Electronic Governance, 2020

2019
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

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

A CBIR System for the Recognition of Agricultural Machinery.
Res. Comput. Sci., 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

2017
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

2016
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

2015
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

2014
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

2013
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

2012
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

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


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