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ORCIDCarlos A. Escobar
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2020 – today
- 2022
[j5]José Luis Guadiana-Alvarez, Fida Hussain
, Rubén Morales-Menéndez, Etna Rojas-Flores, Arturo García-Zendejas, Carlos A. Escobar, Ricardo A. Ramírez-Mendoza, Jianhong Wang:
Prognosis patients with COVID-19 using deep learning. BMC Medical Informatics Decis. Mak. 22(1): 78 (2022)- 2021
- [j4]Carlos A. Escobar, Megan E. McGovern, Rubén Morales-Menéndez:
Quality 4.0: a review of big data challenges in manufacturing. J. Intell. Manuf. 32(8): 2319-2334 (2021) - [j3]Carlos A. Escobar, Megan E. McGovern, Rubén Morales-Menéndez:
Correction to: Quality 4.0: a review of big data challenges in manufacturing. J. Intell. Manuf. 32(8): 2375 (2021) - 2020
- [j2]Carlos A. Escobar, Rubén Morales-Menéndez, Daniela Macias:
Process-monitoring-for-quality - A machine learning-based modeling for rare event detection. Array 7: 100034 (2020) - [c3]Carlos A. Escobar, Jorge Arinez, Daniela Macias, Rubén Morales-Menéndez:
Learning with Missing Data. IEEE BigData 2020: 5037-5045
2010 – 2019
- 2019
- [c2]Carlos A. Escobar, Diana M. Wegner, Abhinav Gaur, Rubén Morales-Menéndez:
Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming. EMO 2019: 151-164 - 2018
- [j1]Carlos A. Escobar, Rubén Morales-Menéndez:
Parsimonious Modeling for Binary Classification of Quality in a High Conformance Manufacturing Environment. Trans. Mach. Learn. Data Min. 11(1): 257-41 (2018) - 2017
- [c1]Carlos A. Escobar, Rubén Morales-Menéndez:
Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions. ICDM 2017: 286-300
Coauthor Index
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