[HTML][HTML] COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy
The COVID-19 pandemic exposed the importance of research on the spread of epidemic
diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build …
diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build …
Social media sentiment about COVID-19 vaccination predicts vaccine acceptance among Peruvian social media users the next day
Drawing upon theories of risk and decision making, we present a theoretical framework for
how the emotional attributes of social media content influence risk behaviors. We apply our …
how the emotional attributes of social media content influence risk behaviors. We apply our …
Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection
In this paper, we evaluate the performance and analyze the explainability of machine
learning models boosted by feature selection in predicting COVID-19-positive cases from …
learning models boosted by feature selection in predicting COVID-19-positive cases from …
A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming
The COVID-19 pandemic exposed the importance of research on the spread of epidemic
diseases. In the case of COVID-19, official data about infection prevalence was based on …
diseases. In the case of COVID-19, official data about infection prevalence was based on …
Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection
C Baquero - 2024 - repositorio.inesctec.pt
In this paper, we evaluate the performance and analyze the explainability of machine
learning models boosted by feature selection in predicting COVID-19-positive cases from …
learning models boosted by feature selection in predicting COVID-19-positive cases from …