Saúl Solorio-Fernández

Unsupervised Feature Selection Method for Mixed Data

L. Erro, Saúl Solorio-Fernández, Ariel Carrasco-Ochoa, 2019 .

A survey on feature selection methods for mixed data

José Francisco Martínez Trinidad, José Francisco Martínez-Trinidad, J. Ariel Carrasco-Ochoa, 2021, Artificial Intelligence Review.

A review of unsupervised feature selection methods

José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Saúl Solorio-Fernández, 2019, Artificial Intelligence Review.

A new hybrid filter-wrapper feature selection method for clustering based on ranking

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Saúl Solorio-Fernández, 2016, Neurocomputing.

A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Saúl Solorio-Fernández, 2017, Pattern Recognit..

Hybrid feature selection method for biomedical datasets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Yanqing Zhang, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

A review of unsupervised feature selection methods

Saúl Solorio-Fernández, J. Martínez-Trinidad, J. A. Carrasco-Ochoa, 2019, Artificial Intelligence Review.

A systematic evaluation of filter Unsupervised Feature Selection methods

José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Saúl Solorio-Fernández, 2020, Expert Syst. Appl..

Hybrid Feature Selection Method for Supervised Classification Based on Laplacian Score Ranking

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Saúl Solorio-Fernández, 2010, MCPR.

A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Saúl Solorio-Fernández, 2019, MCPR.