Guillermo Sánchez-Díaz

30 papers A* 1C 8Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Shortest-length and coarsest-granularity constructs vs. reducts: An experimental evaluation.
Int. J. Approx. Reason.
Manuel S. Lazo-Cortés, Guillermo Sánchez-Díaz, Nelva Nely Almanza Ortega
2022 J jnl
A review of algorithms to computing irreducible testors applied to feature selection.
Artif. Intell. Rev.
Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Carlos Arturo Aguirre-Salado, Iván Piza-Dávila, Jorge P. Garcia-Contreras
2020 J jnl
An Algorithm for Computing Minimum-Length Irreducible Testors.
IEEE Access
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Ivan E. Villalon-Turrubiates
2018 J jnl
Enhancing the Performance of YYC Algorithm Useful to Generate Irreducible Testors.
Int. J. Pattern Recognit. Artif. Intell.
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Cristina Noyola-Medrano
2017 J jnl
A CUDA-based hill-climbing algorithm to find irreducible testors from a training matrix.
Pattern Recognit. Lett.
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Manuel Lazo-Cortés, Luis Rizo Domínguez
2016 J jnl
A new algorithm for computing reducts based on the binary discernibility matrix.
Intell. Data Anal.
Manuel S. Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
2015 J jnl
A parallel hill-climbing algorithm to generate a subset of irreducible testors.
Appl. Intell.
Iván Piza-Dávila, Guillermo Sánchez-Díaz, Carlos Arturo Aguirre-Salado, Manuel Sabino Lazo-Cortés
2015 — conf
Computing Constructs by Using Typical Testor Algorithms.
MCPR
Manuel Sabino Lazo-Cortés, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Guillermo Sánchez-Díaz
2015 J jnl
On the relation between rough set reducts and typical testors.
Inf. Sci.
Manuel Sabino Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
2014 J jnl
An evolutionary algorithm with acceleration operator to generate a subset of typical testors.
Pattern Recognit. Lett.
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
2014 C conf
Are Reducts and Typical Testors the Same?
CIARP
Manuel Sabino Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
2013 J jnl
An Algorithm for Computing Typical Testors Based on Elimination of Gaps and Reduction of columns.
Int. J. Pattern Recognit. Artif. Intell.
Alexsey Lias-Rodríguez, Guillermo Sánchez-Díaz
2013 J jnl
Clasificadores basados en arboles de decisión para grandes conjuntos de datos.
Computación y Sistemas
Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
2013 — conf
Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix.
CIARP (1)
Manuel Lazo-Cortés, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz
2012 J jnl
A Fast Implementation for the Typical Testor Property Identification Based on an Accumulative Binary Tuple.
Int. J. Comput. Intell. Syst.
Guillermo Sánchez-Díaz, Manuel Lazo-Cortés, Iván Piza-Dávila
2012 J jnl
Building fast decision trees from large training sets.
Intell. Data Anal.
Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
2012 C conf
Parallel k-Most Similar Neighbor Classifier for Mixed Data.
IDEAL
Guillermo Sánchez-Díaz, Anilu Franco-Arcega, Carlos Arturo Aguirre-Salado, Iván Piza-Dávila, Luis Roberto Morales-Manilla, Uriel Escobar-Franco
2011 J jnl
Decision tree induction using a fast splitting attribute selection for large datasets.
Expert Syst. Appl.
Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
2011 C conf
Typical Testors Generation Based on an Evolutionary Algorithm.
IDEAL
German Diaz-Sanchez, Iván Piza-Dávila, Guillermo Sánchez-Díaz, Miguel Mora-González, Oscar Reyes-Cardenas, Abraham Cardenas-Tristan, Carlos Arturo Aguirre-Salado
2010 — conf
A Fast Implementation of the CT_EXT Algorithm for the Testor Property Identification.
MICAI (2)
Guillermo Sánchez-Díaz, Iván Piza-Dávila, Manuel Lazo-Cortés, Miguel Mora-González, Javier Salinas-Luna
2010 — conf
Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets.
Canadian AI
Anilu Franco-Arcega, José Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
2010 — conf
Radon Transform Algorithm for Fingerprint Core Point Detection.
MCPR
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
2008 C conf
A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets.
IDEAL
Anilu Franco-Arcega, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
2007 C conf
CT-EXT: An Algorithm for Computing Typical Testor Set.
CIARP
Guillermo Sánchez-Díaz, Manuel Lazo-Cortés
2007 C conf
FS-EX Plus: A New Algorithm for the Calculation of Typical FS-Testor Set.
CIARP
Luis Roberto Morales-Manilla, Guillermo Sánchez-Díaz
2005 C conf
An Incremental Clustering Algorithm Based on Compact Sets with Radius alpha.
CIARP
Aurora Pons-Porrata, Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés, Leydis Alfonso Ramírez
2004 — conf
An Image Resizing Algorithm for Binary Maps.
ENC
Luis Roberto Morales-Manilla, Guillermo Sánchez-Díaz, Ramon Soto
2003 C conf
Determination of Similarity Threshold in Clustering Problems for Large Data Sets.
CIARP
Guillermo Sánchez-Díaz, José Francisco Martínez Trinidad
2001 A* conf
A Clustering Method for Very Large Mixed Data Sets.
ICDM
Guillermo Sánchez-Díaz, José Ruiz-Shulcloper
2001 — conf
LC: A Conceptual Clustering Algorithm.
MLDM
José Francisco Martínez Trinidad, Guillermo Sánchez-Díaz