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

Enhanced Multivariate Time Series Regression Prediction Using Temporal Convolution Networks

Abstract: Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and ...
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 ...
IEEE

PGTAD: Real-Time and Lightweight Multivariate Time-Series Anomaly Detection for IoT Using Patch Gate GRU Autoencoder

Abstract: The escalating diversity of Internet of Things (IoT) devices has intensified security challenges, as signature-based and heavyweight machine learning (ML) defenses often fall short in ...
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 ...