Background and objective Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic ...

The findings are considered valuable and have theoretical implications for the interdisciplinary field of value-based social decision-making. Support for the main claims is incomplete and these should ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for ...

Accordingly, in this work we present a new data-driven method based on Gaussian process regression (GPR) to model epidemic spread through the difference on the logarithmic scale of the infected cases.

In this chapter, we propose a log-linear model for the biases observed when analyzing model communities data. Our model expands the recent work from McLaren, Willis and Callahan (MWC) [eLife, 8:e46923 ...

This repository delves into fuel consumption data analysis using both simple and multiple linear regression models. We aim to uncover the relationships between various factors (independent variables) ...

Allow for several different inputs, including global inputs for additional context. New Regression and Classification output heads for performing per-event or per-particle predictions. Gated ...