Latest Articles for Uncertainty

This article examines how aging alters emotional responses in older adults.

New methods enhance uncertainty estimates in GNNs for modeling material energies.

A new method enhances prediction efficiency using entropy-based reweighting.

A new system aims to enhance sepsis prediction despite challenges in missing data.

A new framework addresses uncertainty and rules in predictions through BENN.

Exploring the issues of epistemic uncertainty in Bayesian Deep Learning methods.

Defogger offers new strategies for exploring sensitive data while ensuring privacy.

Learn how probing enhances decision-making by reducing uncertainty.

A new method for assessing machine learning systems with scarce data.

Exploring how complexity aversion shapes our choices in uncertain situations.

Learn how Probabilistic Scoring Lists enhance decision-making by integrating probabilities.

A challenge to predict deaths in armed conflicts with a focus on uncertainty.

This method improves planning efficiency using predictions and adaptive action models.

Introducing a method to estimate model performance without relying on training data.

A new method enhances example selection for better model learning.

Exploring the connection between gaze, attention, and object recognition.

Using machine learning to improve electric vehicle battery enclosures for safety and efficiency.

Aging impacts the brain's ability to manage uncertainty and focus attention.

Examining the reliability and uncertainty in Large Language Models within chemistry.

Learn how population data enhances prediction accuracy in uncertain models.

Merging remote sensing maps with ground truth data enhances accuracy in environmental assessments.

This article presents a method to incorporate uncertainty in volume visualization for better scientific data analysis.

A new method combines AI models to improve decision-making under uncertainty.

Discover how the Koopman Operator aids in handling uncertainty in complex, changing systems.

Research focuses on enhancing reliability in large language models using uncertainty quantification.

Learn how to manage uncertainties in modeling for better decision-making.

Understanding algorithms' role in ethical AI decision-making.

A new method enhances recommendation systems by incorporating uncertainty.

PASP enhances decision-making by handling uncertainty through efficient grounding methods.

A fresh approach improves accuracy in estimating biological age from DNA methylation.

Data Space Inversion improves prediction accuracy for geothermal energy management.

CytoDiffusion offers a new approach to classifying blood cells and identifying anomalies.

A new approach to represent uncertainty in three-dimensional vector data.

GP-KAN merges Gaussian Processes and Kolmogorov-Arnold Networks for efficient predictions.

A new method enhances reduced-order models using Bayesian learning and Gaussian processes.

Research improves automated sticker detection for sustainable electronic waste management.

DutyTTE improves travel time estimation by accounting for uncertainty in predictions.

Examining how machine learning adapts to moving targets in real-time situations.

Exploring fluid mixing concepts using probability for real-world applications.

This article sheds light on the critical role of uncertainty in AI.