Guillermo Sánchez-Díaz

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 9

Top Topics

Rough Set Theory

Hill Climbing Algorithm

Feature Relevance

Simulated Annealing

Top Venues

Pattern Recognit. Lett.

Int. J. Pattern Recognit. Artif. Intell.

Artif. Intell. Rev.

Publications

Manuel S. Lazo-Cortés, Guillermo Sánchez-Díaz, Nelva Nely Almanza Ortega
Shortest-length and coarsest-granularity constructs vs. reducts: An experimental evaluation. Int. J. Approx. Reason. 170 (2024)
Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Carlos Arturo Aguirre-Salado, Iván Piza-Dávila, Jorge P. Garcia-Contreras
A review of algorithms to computing irreducible testors applied to feature selection. Artif. Intell. Rev. 55 (8) (2022)
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Ivan E. Villalon-Turrubiates
An Algorithm for Computing Minimum-Length Irreducible Testors. IEEE Access 8 (2020)
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Cristina Noyola-Medrano
Enhancing the Performance of YYC Algorithm Useful to Generate Irreducible Testors. Int. J. Pattern Recognit. Artif. Intell. 32 (1) (2018)
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Manuel Lazo-Cortés, Luis Rizo Domínguez
A CUDA-based hill-climbing algorithm to find irreducible testors from a training matrix. Pattern Recognit. Lett. 95 (2017)
Manuel S. Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
A new algorithm for computing reducts based on the binary discernibility matrix. Intell. Data Anal. 20 (2) (2016)
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Carlos Arturo Aguirre-Salado, Manuel Sabino Lazo-Cortés
A parallel hill-climbing algorithm to generate a subset of irreducible testors. Appl. Intell. 42 (4) (2015)
Manuel Sabino Lazo-Cortés, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Guillermo Sánchez-Díaz
Computing Constructs by Using Typical Testor Algorithms. MCPR (2015)
Manuel Sabino Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
On the relation between rough set reducts and typical testors. Inf. Sci. 294 (2015)
Guillermo Sánchez-Díaz, German Diaz-Sanchez, Miguel Mora-González, Iván Piza-Dávila, Carlos Arturo Aguirre-Salado, Guillermo Huerta-Cuéllar, Oscar Reyes-Cardenas, Abraham Cardenas-Tristan
An evolutionary algorithm with acceleration operator to generate a subset of typical testors. Pattern Recognit. Lett. 41 (2014)
Manuel Sabino Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
Are Reducts and Typical Testors the Same? CIARP (2014)
Alexsey Lias-Rodríguez, Guillermo Sánchez-Díaz
An Algorithm for Computing Typical Testors Based on Elimination of Gaps and Reduction of columns. Int. J. Pattern Recognit. Artif. Intell. 27 (8) (2013)
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)
Manuel Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix. CIARP (1) (2013)
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)
Guillermo Sánchez-Díaz, Manuel Lazo-Cortés, Iván Piza-Dávila
A Fast Implementation for the Typical Testor Property Identification Based on an Accumulative Binary Tuple. Int. J. Comput. Intell. Syst. 5 (6) (2012)
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) (2012)
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) (2011)
German Diaz-Sanchez, Iván Piza-Dávila, Guillermo Sánchez-Díaz, Miguel Mora-González, Oscar Reyes-Cardenas, Abraham Cardenas-Tristan, Carlos Arturo Aguirre-Salado
Typical Testors Generation Based on an Evolutionary Algorithm. IDEAL (2011)
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 Conference on AI (2010)
Guillermo Sánchez-Díaz, Iván Piza-Dávila, Manuel Lazo-Cortés, Miguel Mora-González, Javier Salinas-Luna
A Fast Implementation of the CT_EXT Algorithm for the Testor Property Identification. MICAI (2) (2010)
Miguel Mora-González, Julio Cesar Martínez Romo, Jesús Muñoz-Maciel, Guillermo Sánchez-Díaz, Javier Salinas-Luna, Hugo Iván Piza Dávila, Francisco Javier Luna Rosas, Carlos Alejandro De Luna Ortega
Radon Transform Algorithm for Fingerprint Core Point Detection. MCPR (2010)
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)
Guillermo Sánchez-Díaz, Manuel Lazo-Cortés
CT-EXT: An Algorithm for Computing Typical Testor Set. CIARP (2007)
Luis Roberto Morales-Manilla, Guillermo Sánchez-Díaz
FS-EX Plus: A New Algorithm for the Calculation of Typical FS-Testor Set. CIARP (2007)
Luis Roberto Morales-Manilla, Guillermo Sánchez-Díaz, Ramon Soto
An Image Resizing Algorithm for Binary Maps. ENC (2004)
Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
Determination of Similarity Threshold in Clustering Problems for Large Data Sets. CIARP (2003)
José Francisco Martínez Trinidad, Guillermo Sánchez-Díaz
LC: A Conceptual Clustering Algorithm. MLDM (2001)
Guillermo Sánchez-Díaz, José Ruiz-Shulcloper
A Clustering Method for Very Large Mixed Data Sets. ICDM (2001)