While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Abstract Although Ghana has expanded access to basic education, deep inequalities persist across rural, northern, and low-income communities .
In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
Explore why AI-powered crypto trading is rising, offering predictive insights, automation, and 24/7 market advantage. Here’s ...
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 ...
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