Frontiers

Extreme gradient boosting using conventional parameters accurately predicts insulin sensitivity in young and middle-aged Japanese persons

1 Division of Diabetes, Metabolism and Endocrinology, Showa Medical University Fujigaoka Hospital, Yokohama, Japan 2 Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical ...
IEEE

Evaluating the Impact of Gradient Boosting and Random Forest on Accuracy Improvement in Cardiovascular Risk Prediction

Abstract: The aim of the study is to compare the performance of Random Forest and Gradient Boosting for enhancing cardiovascular risk prediction accuracy for early medical intervention. This study has ...
IEEE

Boosting the Transferability of Adversarial Examples Through Gradient Aggregation

Abstract: Deep neural networks(DNNs) have been demonstrated to be vulnerable to meticulously crafted adversarial examples. Transfer-based attacks do not require ...
Frontiers

Exploring body composition and physical condition profiles in relation to playing time in professional soccer: a principal components analysis and Gradient Boosting approach

Background: This study aimed to explore whether a predictive model based on body composition and physical condition could estimate seasonal playing time in professional soccer players. Methods: 24 ...
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...