Abstract: Outlier detection is critical for numerous real-world applications. However, traditional methods, ranging from rule-based approaches to deep-learning models, often require extensive ...

This project focuses on analyzing and comparing the performance of SVM, Random Forest, and XGBoost in diagnosing depression based on individual data. The evaluation process incorporates Non-Parametric ...

Python package for permutation tests, for statistics and machine learning.

Department of Physics, Arizona State University, Tempe, Arizona 85287-1504, United States Center for Biological Physics, Arizona State University, Tempe, Arizona 85287-1504, United States Department ...

ABSTRACT: In many parts of the world, beekeeping, a pillar of agricultural production and biodiversity conservation, is subject to the harmful effects of climate change and climate variability. In ...

This important study shows that the Nora virus, a natural Drosophila pathogen that also persistently infects many laboratory fly stocks, infects intestinal stem cells (ISCs), leading to a shorter life ...

Carnegie Mellon University’s Department of Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding ...