Roberto Alejo

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 15

Top Topics

Empirical Analysis

High Dimensionality

Top Venues

Res. Comput. Sci.

Publications

Itzel M. Abundez B., Roberto Alejo, Francisco Primero Primero, Everardo Efrén Granda Gutiérrez, Otniel Portillo-Rodríguez, Juan Alberto Antonio Velázquez
Threshold Active Learning Approach for Physical Violence Detection on Images Obtained from Video (Frame-Level) Using Pre-Trained Deep Learning Neural Network Models. Algorithms 17 (7) (2024)
Itzel Abundez Barrera, Grisel Miranda-Piña, Roberto Alejo, Everardo Efrén Granda Gutiérrez, A. Cisniega, Otniel Portillo-Rodríguez
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) (2023)
Grisel Miranda-Piña, Roberto Alejo, Eréndira Rendón, Everardo Efrén Granda Gutiérrez, Rosa Maria Valdovinos, F. del Razo-López
Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico. ICIC (3) (2022)
A. Bolívar, Vicente García, Rogelio Florencia, Roberto Alejo, Gilberto Rivera Zárate, Julia Patricia Sánchez-Solís
A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality. MCPR (2022)
Carlos Castorena, Roberto Alejo, Eréndira Rendón, Everardo Efrén Granda Gutiérrez, Rosa Maria Valdovinos, Grisel Miranda-Piña
Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study. ICIC (1) (2022)
Grisel Miranda, Roberto Alejo, Carlos Castorena, Eréndira Rendón, Javier Illescas, Vicente García
Deep Neural Network to Detect Gender Violence on Mexican Tweets. IWAIPR (2021)
Angélica Guzmán Ponce, José Raymundo Marcial-Romero, Rosa Maria Valdovinos, Roberto Alejo, Everardo Efrén Granda Gutiérrez
A Metaheuristic Algorithm to Face the Graph Coloring Problem. HAIS (2020)
Graciela García-Rueda, Rosa Maria Valdovinos, Jesús Valdés-González, Roberto Alejo, J. Leonardo González-Ruiz, José Raymundo Marcial-Romero
Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico. MCPR (2020)
V. M. González-Barcenas, Eréndira Rendón, Roberto Alejo, Everardo Efrén Granda Gutiérrez, Rosa Maria Valdovinos
Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks. IbPRIA (1) (2019)
H. Cruz-Reyes, A. Reyes-Nava, Eréndira Rendón Lara, Roberto Alejo
Estudio del desbalance de clases en bases de datos de microarrays de expresión genética mediante técnicas de Deep Learning. Res. Comput. Sci. 147 (5) (2018)
A. Reyes-Nava, H. Cruz-Reyes, Roberto Alejo, Eréndira Rendón Lara, Allan Antonio Flores Fuentes, Everardo Efrén Granda Gutiérrez
Using Deep Learning to Classify Class Imbalanced Gene-Expression Microarrays Datasets. CIARP (2018)
A. Reyes-Nava, J. Salvador Sánchez, Roberto Alejo, Allan Flores-Fuentes, Eréndira Rendón Lara
Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays. MCPR (2018)
Roberto Alejo, Juan Monroy-de-Jesús, Juan Carlos Ambriz-Polo, J. H. Pacheco-Sanchez
An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem. Neural Comput. Appl. 28 (10) (2017)
M. A. López, José Raymundo Marcial-Romero, Guillermo De Ita Luna, Héctor A. Montes Venegas, Roberto Alejo
A Linear Time Algorithm for Solving #2SAT on Cactus Formulas. CoRR (2017)
A. Reyes-Nava, Allan Flores-Fuentes, Roberto Alejo, Eréndira Rendón Lara
Minería de datos aplicada para la identificación de factores de riesgo en alumnos. Res. Comput. Sci. 139 (2017)
Roberto Alejo, Vicente García, J. Horacio Pacheco-Sánchez
An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem. Neural Process. Lett. 42 (3) (2015)
Roberto Alejo, Juan Monroy-de-Jesús, J. Horacio Pacheco-Sánchez, Rosa Maria Valdovinos, Juan Alberto Antonio Velázquez, José Raymundo Marcial-Romero
Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain. CIARP (2015)
Juan Pablo Sánchez-Crisostomo, Roberto Alejo, Erika López-González, Rosa Maria Valdovinos, J. Horacio Pacheco-Sánchez
Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context. ICSI (2) (2014)
Roberto Alejo, Rosa Maria Valdovinos, Vicente García, J. H. Pacheco-Sanchez
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios. Pattern Recognit. Lett. 34 (4) (2013)
Rosa Maria Valdovinos, Rosalinda Abad Sánchez, Roberto Alejo, Edgar Herrera, Adrián Trueba
Tratamiento del desbalance en problemas con múltiples clases con ECOC. Computación y Sistemas 17 (4) (2013)
Roberto Alejo, J. A. Antonio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study. MCPR (2013)
Mónica Santibáñez, Rosa Maria Valdovinos, Adrián Trueba, Eréndira Rendón, Roberto Alejo, E. López
Applicability of Cluster Validation Indexes for Large Data Sets. MICAI (Special Sessions) (2013)
Roberto Alejo, P. Toribio, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks. MCPR (2012)
P. Toribio, Roberto Alejo, Rosa Maria Valdovinos, J. H. Pacheco-Sanchez
Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks. CCIA (2012)
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance. IWANN (1) (2011)
Roberto Alejo, P. Toribio, José Martínez Sotoca, Rosa Maria Valdovinos, Eduardo Gasca
Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context. ISNN (2) (2011)
Roberto Alejo, José Martínez Sotoca, Vicente García, Rosa Maria Valdovinos
Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems. MCPR (2010)
Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, P. Toribio
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications. ISNN (1) (2010)
Laura Cleofas, Rosa Maria Valdovinos, Vicente García, Roberto Alejo
Use of Ensemble Based on GA for Imbalance Problem. ISNN (2) (2009)
Roberto Alejo, José Martínez Sotoca, Rosa Maria Valdovinos, Gustavo A. Casañ
The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks. ISNN (4) (2009)
Roberto Alejo, José Martínez Sotoca, Gustavo A. Casañ
An Empirical Study for the Multi-class Imbalance Problem with Neural Networks. CIARP (2008)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez, Roberto Alejo, José Martínez Sotoca
When Overlapping Unexpectedly Alters the Class Imbalance Effects. IbPRIA (2) (2007)
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. IWANN (2007)
Vicente García, Roberto Alejo, José Salvador Sánchez, José Martínez Sotoca, Ramón Alberto Mollineda
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. IDEAL (2006)
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. IDEAL (2006)
José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo, Jorge Badenas
Analysis of new techniques to obtain quality training sets. Pattern Recognit. Lett. 24 (7) (2003)
Ricardo Barandela, Eduardo Gasca, Roberto Alejo
Correccion de la Muestra para el Aprendizaje del Perceptron Multicapa. Inteligencia Artif. 5 (13) (2001)
José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. SIBGRAPI (2001)