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 native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...
This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Abstract: This study investigates the relationship between the accuracy of Machine Learning (ML) models used to differentiate between Spam and Normal Messages for different dataset sizes. Efficiency ...
Share via Email: Regulating%20Algorithmic%20Content%20Distribution%20and%20Moderation%20by%20Online%20Platforms Share via Facebook: Regulating%20Algorithmic%20Content ...
Abstract: Breast cancer is the most common cancer type among females and is one of the leading causes of death worldwide. Being a heterogeneous disease, subtyping breast cancer plays a vital role in ...
For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...
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