Detecting Faulty Steel Plates Using Machine Learning DOI
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 321 - 333

Published: Oct. 17, 2024

Language: Английский

Enhancing Defect Detection in Steel Plate Manufacturing with Explainable Machine Learning and SMOTE for Imbalanced Data DOI
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun

et al.

Journal of Materials Engineering and Performance, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Language: Английский

Citations

0
COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy DOI Creative Commons
Gontzal Sagastabeitia, Josu Doncel, José Aguilar

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 258, P. 124930 - 124930

Published: Aug. 13, 2024

The COVID-19 pandemic exposed the importance of research on spread epidemic diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build prediction models estimate SARS-CoV-2 seroprevalence in United States, using multiple estimates prevalence other explanatory variables. We propose use stacking based model building (Linear Beta Regression, Genetic Programming Neural Networks) obtain Predictive Ensemble Models. There has been extensive field, but there not in-depth application methods forecast USA specifically. This paper provides a novel comparison behaviour performance different for ensemble presents which are better scenarios. find that Networks best with trained data within single states, when states considered is still than Regression models, fail accurately. Another novelty our work cross-state validation evaluate new data, as well temporal forecasting. Depending how processed, Linear performs very forecasting, accurate former while latter.

Language: Английский

Citations

2
A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming DOI
Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta

et al.

2022 IEEE Congress on Evolutionary Computation (CEC), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: June 30, 2024

Language: Английский

Citations

0
Detecting Faulty Steel Plates Using Machine Learning DOI
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 321 - 333

Published: Oct. 17, 2024

Language: Английский

Citations

0