IEEE

Machine Learning with Spatial Context: Comparing Bayesian Geoadditive Regression Tree, Random Forest, and Gradient Boosting Machines for Gross Domestic Regional Product in ...

Abstract: This study aims to evaluate and compare the performance of five machine learning algorithms, namely Bayesian Additive Regression Trees (BART), Bayesian Geoadditive Regression Trees (BART ...
Frontiers

Association between eating behavior patterns and the therapeutic efficacy of GLP-1 receptor agonists in individuals with type 2 diabetes: a multicenter prospective ...

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are widely used to improve glycemic control and induce weight loss in individuals with type 2 diabetes (T2D), yet treatment responses ...
IEEE

Enhancing Flood Prediction Accuracy: A Hybrid Modeling Framework Integrating CNN, Random Forest, and Bayesian Regression

Abstract: This research presents a hybrid framework for flood prediction by integrating Convolutional Neural Networks (CNN), Random Forest (RF), and Bayesian Regression techniques, comparing its ...
Frontiers

Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and ...

1 Department of Critical Care Medicine, Harrison International Peace Hospital, Hengshui, China 2 Graduate College, Hebei Medical University, Shijiazhuang, China Objective: Investigate the correlation ...
Scientific Research Publishing

Rosenbaum, P.R. and Rubin, D.B. (1983) The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70, 41-55.

ABSTRACT: The study focuses on identifying and distinguishing whether there are differences between those students receiving special education services later compared to their general-education peers ...
Scientific Research Publishing

Hirano, K., Imbens, G.W. and Ridder, G. (2003) Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71, 1161-1189.

ABSTRACT: The study focuses on identifying and distinguishing whether there are differences between those students receiving special education services later compared to their general-education peers ...
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...