Latest Articles for Uncertainty

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.

Integrating uncertainty quantification in DeepONet enhances predictions in complex physical systems.

A method for stable and reliable identification of communities in networks.

New methods improve breast cancer risk assessments using deep learning.

A study evaluates MSHT and NNPDF methods for fitting parton distribution functions.

Antibody tests require clear guidelines to ensure reliable results in healthcare and research.

This article explores decision-making challenges and strategies in uncertain situations.

A new method improves tracking performance by addressing detection uncertainty.

A new method enhances climate models' reliability in predicting future conditions.

Machine learning improves predictions and monitoring in biopharmaceutical manufacturing.

A new Bayesian approach enhances modeling of complex systems and their dynamics.

Introducing an efficient method for creating more accurate confidence bands in simulations.