Que.com on MSN

AI cyber model arena: Real-world benchmarking for cybersecurity AI agents

Cybersecurity teams are under pressure from every direction: faster attackers, expanding cloud environments, growing identity sprawl, and never-ending alert queues.
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 ...
The Southern Maryland Chronicle on MSN

How are QA teams using machine learning to predict test failures in real time?

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Frontiers

Fuzzy decision-tree regression model and its application to measure some climate change factors

1 Department of Statistics, University of Sumer, Rifai, Iraq 2 Department of Statistics and Informatics Techniques, Northern Technical University, Mosul, Iraq In this paper, we considered a new study ...
IEEE

Enhancing Prediction Accuracy Through Random Forest in Classification and Regression

Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...
IEEE

Forest Tree Species Classification Based on Deep Ensemble Learning by Fusing High-Resolution, Multitemporal, and Hyperspectral Multisource Remote Sensing Data

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...