Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
The move to reclassify cannabis from a Schedule I to a Schedule III drug could spark new studies into pain, aging and women's health, Dr. Staci Gruber tells GBH's All Things Considered.
Can TSSAA football changes be made to make the state finals more exciting? Lopsided 2025 title games had people asking that ...
cbloss is a Python package that provides Pytorch implementation of - Class-Balanced Loss Based on Effective Number of Samples. Focal Loss is a popular loss function for imbalanced classification ...
Abstract: Multi-class imbalanced classification is a challenge in machine learning. The classical synthetic minority oversampling technique (SMOTE) alleviates this challenge by balancing the class ...
A trademark is a distinctive symbol, name, logo, or slogan that sets your goods or services apart from others in the market. It is a powerful tool for establishing brand recognition and building ...
Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
HELENA — When Class C administrators started working on one of the largest realignment projects in classification history, it took some time to get everyone on the same page. “I think when you know ...
Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...
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