Data-Driven Machine Learning to Predict Antibacterial Activity of Cerium-Doped Nanoparticles.

Autor: Perfecto-Avalos, Yocanxóchitl, Navarro-López, Diego E., Martínez-Beltrán, Selina, Rojas-Torres, Diego E., Suárez Ávila, Krista D., I. Robles, Terry, Zavala, Araceli, de Luna, Marco A., Sanchez-Martinez, Araceli, Ceballos-Sanchez, Oscar, Sepúlveda-Villegas, Maricruz, Sanchez-Ante, Gildardo, Tiwari, Naveen, López-Mena, Edgar R.

Publikováno v: ACS Applied Nano Materials; 11/24/2023, Vol. 6 Issue 22, p20719-20730, 12p

Synthetic- [formula omitted] control charts optimized for in-control and out-of-control regions

Autor: Aparisi, Francisco, de Luna, Marco A.

Publikováno v: In Computers and Operations Research 2009 36(12):3204-3214

Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection.

Autor: Ocampo, Ricardo, de Luna, Marco A., Vega, Roberto, Sanchez-Ante, Gildardo, Falcon-Morales, Luis E., Sossa, Humberto

Publikováno v: Progress in Pattern Recognition, Image Analysis, Computer Vision & Applications: 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings; 2014, p532-539, 8p

A Multi-objective Optimization of the Synthetic T² Control Chart for Solving the Problem of In-control and Out-of-Control Regions.

Autor: Aparisi, Francisco, De Luna, Marco A.

Publikováno v: International MultiConference of Engineers & Computer Scientists 2007 (Volume 2); 2007, p2323-2326, 4p