The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

An Adaptive Multivariate Approach to Dynamic Group Target Tracking Using Variational Inference

Abstract: The robust tracking of group targets, such as bird flocks and uncrewed aerial vehicle (UAV) swarms, is crucial for situational awareness and individual tracking. The main characteristics of ...
GitHub

Efficient tree-based nonlinear anchor regression and classification for Python.

article{londschien2025, title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression}, author={Londschien, Malte, Burger, Manuel, R{\"a}tsch ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
IEEE

Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression

Abstract: Learning-based motion planning methods have shown significant promise in enhancing the efficiency of traditional algorithms. However, they often face performance degradation in novel ...
Frontiers

Editorial: Recent advances in flame retardant polymeric materials and composites

Polymeric materials and their composites have been extensively utilized in critical engineering sectors including construction, transportation, and electronics, etc. However, the safety performance of ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using C#

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...