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ORCIDAngélica Guzmán Ponce
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2020 – today
- 2024
[j3]Rubén Fernández-Beltran, Angélica Guzmán Ponce, Rafael Fernandez, Jian Kang, Ginés García-Mateos:
Shadow detection using a cross-attentional dual-decoder network with self-supervised image reconstruction features. Image Vis. Comput. 143: 104922 (2024)- [c6]Diana Zepeda-Martínez, Angélica Guzmán Ponce
, Rosa María Valdovinos Rosas, David Joaquin Delgado Hernandez:
Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways. MCPR 2024: 13-22 - 2021
- [b1]Angélica Guzmán Ponce:
Nuevos Algoritmos Basados en Grafos y Clustering para el Tratamiento de Complejidades de los Datos. Jaume I University, Spain, 2021 - [j2]Angélica Guzmán Ponce, José Salvador Sánchez, Rosa Maria Valdovinos, José Raymundo Marcial-Romero:
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. Expert Syst. Appl. 168: 114301 (2021) - 2020
- [c5]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: 195-208 - [c4]Angélica Guzmán Ponce, Rosa Maria Valdovinos, J. Salvador Sánchez:
A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data. HAIS 2020: 299-311
2010 – 2019
- 2019
- [c3]Angélica Guzmán Ponce, José Raymundo Marcial-Romero, Rosa María Valdovinos Rosas, J. Salvador Sánchez:
Weighted Complete Graphs for Condensing Data. LANMR (Selected Papers) 2019: 45-60 - 2018
- [j1]Angélica Guzmán Ponce, Rosa María Valdovinos Rosas, José Raymundo Marcial-Romero, Roberto Alejo Eleuterio:
Entornos de trabajo para procesamiento de datos masivos y aprendizaje automático. Res. Comput. Sci. 147(5): 225-237 (2018) - 2016
- [c2]Angélica Guzmán Ponce, José Raymundo Marcial-Romero, Guillermo De Ita Luna, José Antonio Hernández Servín:
Approximate the chromatic number of a graph using maximal independent sets. CONIELECOMP 2016: 19-24 - 2015
- [c1]Angélica Guzmán Ponce, José Raymundo Marcial-Romero, José Antonio Hernández Servín, Guillermo De Ita Luna:
An algorithm to approximate the chromatic number of graphs. CONIELECOMP 2015: 110-115
Coauthor Index
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