Roberto Alejo
Orcid: 0000-0002-7580-3305
According to our database1,
Roberto Alejo
authored at least 42 papers
between 2001 and 2023.
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Bibliography
2023
Empirical Analysis on the Effectiveness of Pre-trained Models in the Identification of Physical Violence Against Women in Videos for a Multi-class Approach.
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023
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
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
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021
2020
Redes neuronales artificiales y árboles de decisión para la clasificación con datos categóricos.
Res. Comput. Sci., 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
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
Estudio del desbalance de clases en bases de datos de microarrays de expresión genética mediante técnicas de Deep Learning.
Res. Comput. Sci., 2018
Int. J. Pattern Recognit. Artif. Intell., 2018
Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018
Using Deep Learning to Classify Class Imbalanced Gene-Expression Microarrays Datasets.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
2017
Res. Comput. Sci., 2017
An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem.
Neural Comput. Appl., 2017
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
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
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
2010
Análisis del error en redes neuronales: Corrección de los datos y distribuciones no balanceadas.
PhD thesis, 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
2008
Proceedings of the Progress in Pattern Recognition, 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
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
Pattern Recognit. Lett., 2003
2001
Inteligencia Artif., 2001
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification.
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001