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Anilu Franco-Arcega
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Journal Articles
- 2019
- [j7]Rosa María Ortega-Mendoza, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
Author Profiling on Social Media using New Weighting Schemes that Emphasize Personal Information. Computación y Sistemas 23(2): 501-510 (2019) - 2018
- [j6]Rosa María Ortega-Mendoza, Adrián Pastor López-Monroy, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
Emphasizing personal information for Author Profiling: New approaches for term selection and weighting. Knowl. Based Syst. 145: 169-181 (2018) - 2015
- [j5]Anilu Franco-Arcega, María J. Gutiérrez-Sánchez, Alberto Suárez-Navarrete:
Learning Styles Analysis based on Pattern Recognition Techniques. Res. Comput. Sci. 100: 19-26 (2015) - 2014
- [j4]Félix Castro-Espinoza, Omar López-Ortega, Anilu Franco-Arcega:
Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules. Computación y Sistemas 18(3) (2014) - 2013
- [j3]Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad:
Clasificadores basados en arboles de decisión para grandes conjuntos de datos. Computación y Sistemas 17(1) (2013) - 2012
- [j2]Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad:
Building fast decision trees from large training sets. Intell. Data Anal. 16(4): 649-664 (2012) - 2011
- [j1]Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad:
Decision tree induction using a fast splitting attribute selection for large datasets. Expert Syst. Appl. 38(11): 14290-14300 (2011)
Conference and Workshop Papers
- 2018
- [c12]Rosa María Ortega-Mendoza, Adrián Pastor López-Monroy, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
PEIMEX at eRisk2018: Emphasizing Personal Information for Depression and Anorexia Detection. CLEF (Working Notes) 2018 - [c11]Lauro Vargas-Ruíz, Anilu Franco-Arcega, María de los Ángeles Alonso-Lavernia:
A Novel Criterion to Obtain the Best Feature Subset from Filter Ranking Methods. MCPR 2018: 12-22 - [c10]Rubén Hernández Pérez, Ruslan F. Gabbasov, Joel Suárez-Cansino, Virgilio López-Morales, Anilu Franco-Arcega:
Efficiency Analysis of Particle Tracking with Synthetic PIV Using SOM. MICAI (1) 2018: 136-153 - [c9]Joel Suárez-Cansino, Anilu Franco-Arcega, Linda Gladiola Flores-Flores, Virgilio López-Morales, Ruslan F. Gabbasov:
A Time Complexity Analysis to the ParDTLT Parallel Algorithm for Decision Tree Induction. MICAI (1) 2018: 244-256 - [c8]Virgilio López-Morales, Joel Suárez-Cansino, Ruslan F. Gabbasov, Anilu Franco-Arcega:
A General Method for Consistency Improving in Decision-Making Under Uncertainty. MICAI (1) 2018: 423-434 - 2016
- [c7]Rosa María Ortega-Mendoza, Anilu Franco-Arcega, Adrián Pastor López-Monroy, Manuel Montes-y-Gómez:
I, Me, Mine: The Role of Personal Phrases in Author Profiling. CLEF 2016: 110-122 - 2014
- [c6]Anilu Franco-Arcega, Kristell D. Franco-Sánchez, Félix Agustín Castro Espinoza, Luis H. García-Islas:
Data Mining for Discovering Patterns in Migration. MICAI (2) 2014: 285-295 - 2013
- [c5]Anilu Franco-Arcega, Joel Suárez-Cansino, Linda Gladiola Flores-Flores:
A parallel algorithm to induce decision trees for large datasets. ICAT 2013: 1-6 - [c4]Anilu Franco-Arcega, Linda Gladiola Flores-Flores, Ruslan F. Gabbasov:
Application of Decision Trees for Classifying Astronomical Objects. MICAI (Special Sessions) 2013: 181-186 - 2012
- [c3]Guillermo Sánchez-Díaz, Anilu Franco-Arcega, Carlos Arturo Aguirre-Salado, Iván Piza-Dávila, Luis Roberto Morales-Manilla, Uriel Escobar-Franco:
Parallel k-Most Similar Neighbor Classifier for Mixed Data. IDEAL 2012: 586-593 - 2010
- [c2]Anilu Franco-Arcega, José Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad:
Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets. Canadian AI 2010: 370-373 - 2008
- [c1]Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad:
A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets. IDEAL 2008: 282-289
Coauthor Index
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