Carlos A. Escobar

According to our database, Carlos A. Escobar authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Smart Supervision of Public Expenditure: A Review on Data Capture, Storage, Processing, and Interoperability with a Case Study from Colombia.

Jaime Alonso Restrepo-Carmona, Juan C. Zuluaga, Manuela Velásquez, Carolina Zuluaga, Rosse M. Villamil, Olguer Morales, Ángela M. Hurtado, Carlos A. Escobar, Julián Sierra-Pérez, Rafael E. Vásquez

Inf., 2024

2022

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

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

Quality 4.0: a review of big data challenges in manufacturing.

Carlos A. Escobar, Megan E. McGovern, Rubén Morales-Menéndez

J. Intell. Manuf., 2021

Augmentation of Body-in-White Dimensional Quality Systems through Artificial Intelligence.

Carlos A. Escobar, Debejyo Chakraborty, Jorge Arinez, Rubén Morales-Menéndez

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Process-monitoring-for-quality - A machine learning-based modeling for rare event detection.

Carlos A. Escobar, Rubén Morales-Menéndez, Daniela Macias

Array, 2020

Learning with Missing Data.

Carlos A. Escobar, Jorge Arinez, Daniela Macias, Rubén Morales-Menéndez

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming.

Carlos A. Escobar, Diana M. Wegner, Abhinav Gaur, Rubén Morales-Menéndez

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

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

2017

Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions.

Carlos A. Escobar, Rubén Morales-Menéndez

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017