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The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...

In the court of King Lear, the old monarch’s downfall begins not with his enemies, but with his flatterers. Goneril and Regan ...

Michael Ingram is a Senior Contributor from the United States of America. Michael has been writing for GameRant since 2021, writing both analytically and fiction for years beforehand. Michael is a ...

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Abstract: Conventional neural network-based machine learning algorithms often encounter difficulties in data-limited scenarios or where interpretability is critical. Conversely, Bayesian ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...