Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions. - Carlos A. Escobar; Rubén Morales-Menéndez (ICDM, 2017)

Parsimonious Modeling for Binary Classification of Quality in a High Conformance Manufacturing Environment. - Carlos A. Escobar; Rubén Morales-Menéndez (Trans. Mach. Learn. Data Min., 2018)

Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming. - Carlos A. Escobar; Diana M. Wegner; Abhinav Gaur; Rubén Morales-Menéndez (EMO, 2019)

Learning with Missing Data. - Carlos A. Escobar; Jorge Arinez 001; Daniela Macias; Rubén Morales-Menéndez (IEEE BigData, 2020)

Process-monitoring-for-quality - A machine learning-based modeling for rare event detection. - Carlos A. Escobar; Rubén Morales-Menéndez; Daniela Macias (Array, 2020)

Quality 4.0: a review of big data challenges in manufacturing. - Carlos A. Escobar; Megan E. McGovern; Rubén Morales-Menéndez (J. Intell. Manuf., 2021)

Correction to: Quality 4.0: a review of big data challenges in manufacturing. - Carlos A. Escobar; Megan E. McGovern; Rubén Morales-Menéndez (J. Intell. Manuf., 2021)

Prognosis patients with COVID-19 using deep learning. - José Luis Guadiana-Alvarez; Fida Hussain; Rubén Morales-Menéndez; Etna Rojas-Flores; Arturo García-Zendejas; Carlos A. Escobar; Ricardo A. Ramírez-Mendoza; Jianhong Wang (BMC Medical Informatics Decis. Mak., 2022)