Rosa Maria Valdovinos

Orcid: 0000-0001-9954-0653

According to our database1, Rosa Maria Valdovinos authored at least 49 papers between 2003 and 2022.

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

Timeline

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Bibliography

2022
Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem.
Expert Syst. Appl., 2021

2020
A PSO-based algorithm for mining association rules using a guided exploration strategy.
Pattern Recognit. Lett., 2020

Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

A Metaheuristic Algorithm to Face the Graph Coloring Problem.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
A comparison between UCB and UCB-Tuned as selection policies in GGP.
J. Intell. Fuzzy Syst., 2019

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

Some Variations of Upper Confidence Bound for General Game Playing.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Weighted Complete Graphs for Condensing Data.
Proceedings of the Selected Papers of the Eleventh and Twelfth Latin American Workshop on Logic/Languages, 2019

Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
Entornos de trabajo para procesamiento de datos masivos y aprendizaje automático.
Res. Comput. Sci., 2018

Upper Confidence Bound o Upper Cofidence Bound Tuned para General Game Playing: Un estudio empírico.
Res. Comput. Sci., 2018

A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
A Fast and Efficient Method for #2SAT via Graph Transformations.
Proceedings of the Advances in Soft Computing, 2017

Extending Extremal Polygonal Arrays for the Merrifield-Simmons Index.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

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

A Polynomial Time Algorithm for Counting the Number of Independent Sets of Cactus Graphs.
Proceedings of the Fifteenth Mexican International Conference on Artificial Intelligence, 2016

A Multiple classifier system for fast an accurate learning in neural network context.
Proceedings of the Tenth Latin American Workshop on Logic/Languages, 2016

A simplied feature vector obtained by wavelets method for fast and accurate recognition of handwritten characters off-line.
Proceedings of the Tenth Latin American Workshop on Logic/Languages, 2016

2015
Análisis de deserción escolar con minería de datos.
Res. Comput. Sci., 2015

A Brief History of Computing in Mexico.
IEEE Ann. Hist. Comput., 2015

A Parametric Polynomial Deterministic Algorithm for #2SAT.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

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

Tratamiento del desbalance en problemas con múltiples clases con ECOC.
Computación y Sistemas, 2013

Applicability of Cluster Validation Indexes for Large Data Sets.
Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

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

Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

2012
A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks.
Proceedings of the Artificial Intelligence Research and Development, 2012

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

Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A Rejection Option for the Multilayer Perceptron Using Hyperplanes.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

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

Edited Nearest Neighbor Rule for Improving Neural Networks Classifications.
Proceedings of the Advances in Neural Networks, 2010

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

The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Combining Multiple Classifiers with Dynamic Weighted Voting.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
Comparative study of Genetic Algorithms and resampling methods for ensemble constructing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Performance Analysis of Classifier Ensembles: Neural Networks <i>Versus</i> Nearest Neighbor Rule.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Técnicas de submuestreo, Toma de decisiones y Análisis de diversidad en aprendisaje supervisado con Sistemas Múltiples de Clasificación.
PhD thesis, 2006

2005
Class-dependant resampling for medical applications.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Dynamic and Static Weighting in Classifier Fusion.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004
The Imbalanced Training Sample Problem: Under or over Sampling?
Proceedings of the Structural, 2004

2003
New Applications of Ensembles of Classifiers.
Pattern Anal. Appl., 2003


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