Roberto Alejo

According to our database1, Roberto Alejo authored at least 31 papers between 2001 and 2019.

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

Timeline

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Bibliography

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
Bayesian Learning on Discrete Systems of Two Classes.
IJPRAI, 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
Minería de datos aplicada para la identificación de factores de riesgo en alumnos.
Research in Computing Science, 2017

An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem.
Neural Computing and Applications, 2017

A Linear Time Algorithm for Solving #2SAT on Cactus Formulas.
CoRR, 2017

2015
Análisis de deserción escolar con minería de datos.
Research in Computing Science, 2015

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

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

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

2008
An Empirical Study for the Multi-class Imbalance Problem with Neural Networks.
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

When Overlapping Unexpectedly Alters the Class Imbalance Effects.
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
Analysis of new techniques to obtain quality training sets.
Pattern Recognit. Lett., 2003

2001
Correccion de la Muestra para el Aprendizaje del Perceptron Multicapa.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 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


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