Publications

• Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad. Filter unsupervised spectral feature selection method for mixed data based on a new feature correlation measure. Neurocomputing, Volume 571 (2024), ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2023.127111.

• Solorio-Fernández, S., Carrasco-Ochoa, J. & Martínez-Trinidad, J.F. A survey on feature selection methods for mixed data. Artif Intell Rev 55, 2821–2846 (2022). https://doi.org/10.1007/s10462-021-10072-6

• Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, A systematic evaluation of filter Unsupervised Feature Selection methods, Expert Systems with Applications, Volume 162, 2020, 113745, ISSN 0957-4174. https://doi.org/10.1016/j.eswa.2020.113745.

• Saúl Solorio-Fernández, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis, Pattern Recognition Letters, Volume 138, 2020, Pages 321-328, ISSN 0167-8655. https://doi.org/10.1016/j.patrec.2020.07.039.

• Solorio-Fernández, S., Carrasco-Ochoa, J.A. & Martínez-Trinidad, J.F., A review of unsupervised feature selection methods, Artif Intell Rev 53, 907–948 (2020). https://doi.org/10.1007/s10462-019-09682-y

• Saúl Solorio-Fernández, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach, Pattern Recognition, Volume 72, 2017, Pages 314-326, ISSN 0031-3203. https://doi.org/10.1016/j.patcog.2017.07.020.

• Saúl Solorio-Fernández, J. Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, A new hybrid filter–wrapper feature selection method for clustering based on ranking, Neurocomputing, Volume 214, 2016, Pages 866-880, ISSN 0925-2312. https://doi.org/10.1016/j.neucom.2016.07.026.

• Van der Weij, Teun, Venustiano Soancatl Aguilar, and Saúl Solorio-Fernández. Runtime Prediction of Filter Unsupervised Feature Selection Methods. Research in Computing Science 150.8 (2022): 138-150. https://research.rug.nl/files/200842725/86183789_7265617_TeunVenusSaulRCS_VOL_150_NO_8_GIS_LATAM_2021.pdf

• Solorio-Fernández, S., Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F. (2021). Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles. In: Roman-Rangel, E., Kuri-Morales, Á.F., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Olvera-López, J.A. (eds) Pattern Recognition. MCPR 2021. Lecture Notes in Computer Science(), vol 12725. Springer, Cham. https://doi.org/10.1007/978-3-030-77004-4_5

• Solorio-Fernández S., Martínez-Trinidad J.F., Carrasco-Ochoa J.A. (2019) A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score. In: Carrasco-Ochoa J., Martínez-Trinidad J., Olvera-López J., Salas J. (eds) Pattern Recognition. MCPR 2019. Lecture Notes in Computer Science, vol 11524. Springer, Cham. https://doi.org/10.1007/978-3-030-21077-9_1

• Solorio-Fernández S., Carrasco-Ochoa J.A., Martínez-Trinidad J.F. (2018) Ranking Based Unsupervised Feature Selection Methods: An Empirical Comparative Study in High Dimensional Datasets. In: Batyrshin I., Martínez-Villaseñor M., Ponce Espinosa H. (eds) Advances in Soft Computing. MICAI 2018. Lecture Notes in Computer Science, vol 11288. Springer, Cham. https://doi.org/10.1007/978-3-030-04491-6_16

• S. Solorio-Fernández, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa and Y. Zhang,  Hybrid feature selection method for biomedical datasets, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), San Diego, CA, 2012, pp. 150-155. https://doi.org/10.1109/CIBCB.2012.6217224

• Solorio-Fernández S., Carrasco-Ochoa J.A., Martínez-Trinidad J.F. (2010) Hybrid Feature Selection Method for Supervised Classification Based on Laplacian Score Ranking. In: Martínez-Trinidad J.F., Carrasco-Ochoa J.A., Kittler J. (eds) Advances in Pattern Recognition. MCPR 2010. Lecture Notes in Computer Science, vol 6256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15992-3_28

• Solorio-Fernández S., Carrasco-Ochoa J.A., Martínez-Trinidad J.F. (2021) Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles. In: Roman-Rangel E., Kuri-Morales Á.F., Martínez-Trinidad J.F., Carrasco-Ochoa J.A., Olvera-López J.A. (eds) Pattern Recognition. MCPR 2021. Lecture Notes in Computer Science, vol 12725. Springer, Cham. https://doi.org/10.1007/978-3-030-77004-4_5

Saúl Solorio-Fernández, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Unsupervised Feature Selection Method for Mixed Data (Report No. CCC-19-005). Puebla, Mexico: Instituto Nacional de Astrofísica, Óptica y Electrónica, pp. 1-50, 2019. [pdf].