Carlos A. Escobar

Orcid: 0000-0002-7234-8175

According to our database1, Carlos A. Escobar authored at least 8 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Prognosis patients with COVID-19 using deep learning.
BMC Medical Informatics Decis. Mak., 2022

2021
Correction to: Quality 4.0: a review of big data challenges in manufacturing.
J. Intell. Manuf., 2021

Quality 4.0: a review of big data challenges in manufacturing.
J. Intell. Manuf., 2021

2020
Process-monitoring-for-quality - A machine learning-based modeling for rare event detection.
Array, 2020

Learning with Missing Data.
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.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Parsimonious Modeling for Binary Classification of Quality in a High Conformance Manufacturing Environment.
Trans. Mach. Learn. Data Min., 2018

2017
Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017


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