Roberto Alejo

41 papers C 5Misc 2Journal 12Unranked 21
YearRankTypeTitle / Venue / Authors
2024 J jnl
Threshold Active Learning Approach for Physical Violence Detection on Images Obtained from Video (Frame-Level) Using Pre-Trained Deep Learning Neural Network Models.
Algorithms
Itzel M. Abundez B., Roberto Alejo, Francisco Primero Primero, Everardo Efrén Granda-Gutiérrez, Otniel Portillo-Rodríguez, Juan Alberto Antonio Velázquez
2023 — conf
Empirical Analysis on the Effectiveness of Pre-trained Models in the Identification of Physical Violence Against Women in Videos for a Multi-class Approach.
DMBD (1)
Itzel Abundez Barrera, Grisel Miranda-Piña, Roberto Alejo, Everardo Efrén Granda-Gutiérrez, A. Cisniega, Otniel Portillo-Rodríguez
2022 — conf
A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality.
MCPR
A. Bolívar, Vicente García, Rogelio Florencia, Roberto Alejo, Gilberto Rivera Zárate, Julia Patricia Sánchez-Solís
2022 — conf
Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study.
ICIC (1)
Carlos Castorena, Roberto Alejo, Eréndira Rendón, Everardo Efrén Granda-Gutiérrez, Rosa Maria Valdovinos, Grisel Miranda-Piña
2022 — conf
Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico.
ICIC (3)
Grisel Miranda-Piña, Roberto Alejo, Eréndira Rendón, Everardo Efrén Granda-Gutiérrez, Rosa Maria Valdovinos, F. del Razo-López
2021 — conf
Deep Neural Network to Detect Gender Violence on Mexican Tweets.
IWAIPR
Grisel Miranda, Roberto Alejo, Carlos Castorena, Eréndira Rendón, Javier Illescas, Vicente García
2020 Misc conf
A Metaheuristic Algorithm to Face the Graph Coloring Problem.
HAIS
Angélica Guzmán-Ponce, José Raymundo Marcial-Romero, Rosa Maria Valdovinos, Roberto Alejo, Everardo Efrén Granda-Gutiérrez
2020 — conf
Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico.
MCPR
Graciela García-Rueda, Rosa Maria Valdovinos, Jesús Valdés-González, Roberto Alejo, J. Leonardo González-Ruiz, José Raymundo Marcial-Romero
2019 — conf
Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks.
IbPRIA (1)
V. M. González-Barcenas, Eréndira Rendón, Roberto Alejo, Everardo Efrén Granda-Gutiérrez, Rosa Maria Valdovinos
2018 J jnl
Estudio del desbalance de clases en bases de datos de microarrays de expresión genética mediante técnicas de Deep Learning.
Res. Comput. Sci.
H. Cruz-Reyes, Adriana Reyes-Nava, Eréndira Rendón-Lara, Roberto Alejo
2018 — conf
Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays.
MCPR
Adriana Reyes-Nava, J. Salvador Sánchez, Roberto Alejo, Allan Flores-Fuentes, Eréndira Rendón-Lara
2018 C conf
Using Deep Learning to Classify Class Imbalanced Gene-Expression Microarrays Datasets.
CIARP
Adriana Reyes-Nava, H. Cruz-Reyes, Roberto Alejo, Eréndira Rendón-Lara, Allan Antonio Flores Fuentes, Everardo Efrén Granda-Gutiérrez
2017 J jnl
A Linear Time Algorithm for Solving #2SAT on Cactus Formulas.
CoRR
M. A. López, José Raymundo Marcial-Romero, Guillermo De Ita Luna, Héctor A. Montes Venegas, Roberto Alejo
2017 J jnl
An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem.
Neural Comput. Appl.
Roberto Alejo, Juan Monroy-de-Jesús, Juan Carlos Ambriz-Polo, J. H. Pacheco-Sanchez
2017 J jnl
Minería de datos aplicada para la identificación de factores de riesgo en alumnos.
Res. Comput. Sci.
Adriana Reyes-Nava, Allan Flores-Fuentes, Roberto Alejo, Eréndira Rendón-Lara
2015 J jnl
An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem.
Neural Process. Lett.
Roberto Alejo, Vicente García, J. Horacio Pacheco-Sánchez
2015 C conf
Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain.
CIARP
Roberto Alejo, Juan Monroy-de-Jesús, J. Horacio Pacheco-Sánchez, Rosa Maria Valdovinos, Juan Alberto Antonio Velázquez, José Raymundo Marcial-Romero
2014 — conf
Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context.
ICSI (2)
Juan Pablo Sánchez-Crisostomo, Roberto Alejo, Erika López-González, Rosa Maria Valdovinos, J. Horacio Pacheco-Sánchez
2013 J jnl
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios.
Pattern Recognit. Lett.
Roberto Alejo, Rosa Maria Valdovinos, Vicente García, J. H. Pacheco-Sanchez
2013 — conf
Applicability of Cluster Validation Indexes for Large Data Sets.
MICAI (Special Sessions)
Mónica Santibáñez, Rosa Maria Valdovinos, Adrián Trueba, Eréndira Rendón, Roberto Alejo, E. López
2013 — conf
Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study.
MCPR
Roberto Alejo, J. A. Antonio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
2013 J jnl
Optimización de recurso para el tratamiento de grandes volúmenes de datos.
Res. Comput. Sci.
Mónica Santibáñez, Rosa María Valdovinos, Eréndira Rendón, Roberto Alejo, José Raymundo Marcial-Romero
2013 J jnl
Tratamiento del desbalance en problemas con múltiples clases con ECOC.
Computación y Sistemas
Rosa Maria Valdovinos, Rosalinda Abad Sánchez, Roberto Alejo, Edgar Herrera, Adrián Trueba
2012 — conf
A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks.
MCPR
Roberto Alejo, P. Toribio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
2012 — conf
Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks.
CCIA
P. Toribio, Roberto Alejo, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
2011 — conf
Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance.
IWANN (1)
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
2011 — conf
Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context.
ISNN (2)
Roberto Alejo, P. Toribio, José Martínez Sotoca, Rosa Maria Valdovinos, Eduardo Gasca
2010 — —
Análisis del error en redes neuronales: Corrección de los datos y distribuciones no balanceadas.
Roberto Alejo
2010 — conf
Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems.
MCPR
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
2010 — conf
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications.
ISNN (1)
Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, P. Toribio
2009 — conf
The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks.
ISNN (4)
Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, Gustavo A. Casañ
2009 — conf
Use of Ensemble Based on GA for Imbalance Problem.
ISNN (2)
Laura Cleofas, Rosa Maria Valdovinos, Vicente García, Roberto Alejo
2008 C conf
An Empirical Study for the Multi-class Imbalance Problem with Neural Networks.
CIARP
Roberto Alejo, José Martínez Sotoca, Gustavo A. Casañ
2008 J jnl
Análisis del error en redes neuronales artificiales: Distribuciones no balanceadas.
Res. Comput. Sci.
Roberto Alejo, P. Toribio, F. García
2007 Misc conf
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples.
IWANN
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
2007 — conf
When Overlapping Unexpectedly Alters the Class Imbalance Effects.
IbPRIA (2)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez, Roberto Alejo, José Martínez Sotoca
2006 C conf
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification.
IDEAL
Vicente García, Roberto Alejo, José Salvador Sánchez, José Martínez Sotoca, Ramón Alberto Mollineda
2006 C conf
Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples.
IDEAL
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
2003 J jnl
Analysis of new techniques to obtain quality training sets.
Pattern Recognit. Lett.
José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo, Jorge Badenas
2001 J jnl
Correccion de la Muestra para el Aprendizaje del Perceptron Multicapa.
Inteligencia Artif.
Ricardo Barandela, Eduardo Gasca, Roberto Alejo
2001 — conf
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification.
SIBGRAPI
José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo