Vicente García
Orcid: 0000-0003-2820-2918Affiliations:
- Universidad Autónoma de Ciudad Juárez, Mexico
According to our database1,
Vicente García
authored at least 75 papers
between 2003 and 2024.
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Online presence:
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Bibliography
2024
A survey on uncertainty quantification in deep learning for financial time series prediction.
Neurocomputing, 2024
Using Compensatory Fuzzy Logic to Model an Investor's Preference Regarding Portfolio Stock Selection within Markowitz's Mean-Variance Framework.
Computación y Sistemas (CyS), 2024
2023
A reliability analysis for electronic devices under an extension of exponentiated perks distribution.
Qual. Reliab. Eng. Int., April, 2023
2022
Uso de series temporales para el análisis y predicción de consumo de materia prima en la industria maquiladora.
Res. Comput. Sci., 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
Expert Syst. Appl., 2021
IEEE Access, 2021
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
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
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
Res. Comput. Sci., 2018
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
Expert Syst. Appl., 2016
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
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
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
Prog. Artif. Intell., 2012
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance.
Knowl. Based Syst., 2012
Expert Syst. Appl., 2012
On the use of data filtering techniques for credit risk prediction with instance-based models.
Expert Syst. Appl., 2012
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012
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
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
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
Proceedings of the Advances in Pattern Recognition, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009
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
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
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
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003