Rosa Maria Valdovinos
Orcid: 0000-0001-9954-0653
According to our database1,
Rosa Maria Valdovinos
authored at least 51 papers
between 2003 and 2024.
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, June, 2024
Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways.
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024
2022
Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
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
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
J. Intell. Fuzzy Syst., 2019
Empirical Study of the Associative Approach in the Context of Classification Problems.
Computación y Sistemas, 2019
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019
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
Res. Comput. Sci., 2018
Upper Confidence Bound o Upper Cofidence Bound Tuned para General Game Playing: Un estudio empírico.
Res. Comput. Sci., 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
2017
Proceedings of the Advances in Soft Computing, 2017
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017
2016
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
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
Computación y Sistemas, 2013
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
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
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
2010
Proceedings of the Advances in Pattern Recognition, 2010
Proceedings of the Advances in Neural Networks, 2010
2009
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
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
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
2004
Proceedings of the Structural, 2004
2003