Vicente García

Orcid: 0000-0003-2820-2918

Affiliations:
  • Universidad Autónoma de Ciudad Juárez, Mexico


According to our database1, Vicente García authored at least 72 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
A reliability analysis for electronic devices under an extension of exponentiated perks distribution.
Qual. Reliab. Eng. Int., April, 2023

2022
Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application.
Eng. Appl. Artif. Intell., 2022

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19.
Appl. Soft Comput., 2022

A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

2021
Editorial: From traditional Information Technology to Serverless. A novel approach to monitor mobile phones using concepts and principles of Industrial Internet of Things.
Int. J. Comb. Optim. Probl. Informatics, 2021

Auto-adaptive multilayer perceptron for univariate time series classification.
Expert Syst. Appl., 2021

Revisiting the Dissimilarity Representation in the Context of Regression.
IEEE Access, 2021

Deep Neural Network to Detect Gender Violence on Mexican Tweets.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2020
Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing.
Symmetry, 2020

Convolutional Neural Network in a Pseudo-Distributed Environment for Classification of Chest X-Ray Images of Patients with Pneumonia.
Res. Comput. Sci., 2020

Predicción del éxito de proyectos de videojuegos en Kickstarter con aprendizaje automático.
Res. Comput. Sci., 2020

Ranking-based MCDM models in financial management applications: analysis and emerging challenges.
Prog. Artif. Intell., 2020

Editorial for Volume 11 Number 1: Signal Processing and Production Processes in Advanced Engineering.
Int. J. Comb. Optim. Probl. Informatics, 2020

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data.
Expert Syst. Appl., 2020

2019
An Enhanced Lightweight IoT-based Authentication Scheme in Cloud Computing Circumstances.
Sensors, 2019

Selection of IoT Platform with Multi-Criteria Analysis: Defining Criteria and Experts to Interview.
Res. Comput. Sci., 2019

Predicting Airline Customer Satisfaction using k-nn Ensemble Regression Models.
Res. Comput. Sci., 2019

Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory.
Prog. Artif. Intell., 2019

Using regression models for predicting the product quality in a tubing extrusion process.
J. Intell. Manuf., 2019

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction.
Inf. Fusion, 2019

Application of IoT with haptics interface in the smart manufacturing industry.
Int. J. Comb. Optim. Probl. Informatics, 2019

Empirical Study of the Associative Approach in the Context of Classification Problems.
Computación y Sistemas, 2019

Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
Interfaz de lenguaje natural para consultar cubos multidimensionales utilizando procesamiento analítico en línea.
Res. Comput. Sci., 2018

Minería de opiniones aplicada a la evaluación docente de la UACJ.
Res. Comput. Sci., 2018

A regression model based on the nearest centroid neighborhood.
Pattern Anal. Appl., 2018

Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

Design and Implementation of an IoT-Based Háptical Interface Implemented by Memetic Algorithms to Improve Competitiveness in an Industry 4.0 Model for the Manufacturing Sector.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018

2017
An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Associative learning on imbalanced environments: An empirical study.
Expert Syst. Appl., 2016

Financial distress prediction using the hybrid associative memory with translation.
Appl. Soft Comput., 2016

Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015
An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem.
Neural Process. Lett., 2015

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems.
J. Intell. Inf. Syst., 2015

Mapping microarray gene expression data into dissimilarity spaces for tumor classification.
Inf. Sci., 2015

Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014
A bias correction function for classification performance assessment in two-class imbalanced problems.
Knowl. Based Syst., 2014

2013
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios.
Pattern Recognit. Lett., 2013

A literature review on the application of evolutionary computing to credit scoring.
J. Oper. Res. Soc., 2013

On the suitability of resampling techniques for the class imbalance problem in credit scoring.
J. Oper. Res. Soc., 2013

Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

2012
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets.
Prog. Artif. Intell., 2012

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance.
Knowl. Based Syst., 2012

Two-level classifier ensembles for credit risk assessment.
Expert Syst. Appl., 2012

Exploring the behaviour of base classifiers in credit scoring ensembles.
Expert Syst. Appl., 2012

On the use of data filtering techniques for credit risk prediction with instance-based models.
Expert Syst. Appl., 2012

One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

Non-invasive Melanoma Diagnosis using Multispectral Imaging.
Proceedings of the ICPRAM 2012, 2012

Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study.
Proceedings of the ICPRAM 2012, 2012

On the Suitability of Numerical Performance Measures for Class Imbalance Problems.
Proceedings of the ICPRAM 2012, 2012

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Improving Risk Predictions by Preprocessing Imbalanced Credit Data.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance.
Proceedings of the Advances in Computational Intelligence, 2011

Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010
Distribuciones de Clases No Balanceadas: Métricas, Análisis de Complejidad y Algoritmos de Aprendizaje.
PhD thesis, 2010

Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems.
Proceedings of the Advances in Pattern Recognition, 2010

Exploring the Performance of Resampling Strategies for the Class Imbalance Problem.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Theoretical Analysis of a Performance Measure for Imbalanced Data.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Use of Ensemble Based on GA for Imbalance Problem.
Proceedings of the Advances in Neural Networks, 2009

Melodic Track Identification in MIDI Files Considering the Imbalanced Context.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008
On the <i>k</i>-NN performance in a challenging scenario of imbalance and overlapping.
Pattern Anal. Appl., 2008

A New Performance Evaluation Method for Two-Class Imbalanced Problems.
Proceedings of the Structural, 2008

2007
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples.
Proceedings of the Computational and Ambient Intelligence, 2007

When Overlapping Unexpectedly Alters the Class Imbalance Effects.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2003
Strategies for learning in class imbalance problems.
Pattern Recognit., 2003

Learning from Imbalanced Sets through Resampling and Weighting.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003


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