Latest Articles for Uncertainty

Innovative methods for effective trajectory data management and analysis.

This study highlights the importance of uncertainty in AI segmentation for multiple sclerosis.

A new framework efficiently solves PDEs while addressing uncertainties.

A novel method enhances language model performance by addressing uncertainty in text generation.

Streamlining data labeling with active learning approaches in entity recognition tasks.

A new approach to improve prediction reliability in machine learning.

Recent research shows links between LLMs and human cognitive behaviors.

PULPo improves medical image alignment and quantifies uncertainty effectively.

A method to enhance model training using partially labeled medical images.

UNRealNet enhances robot navigability in tough terrain using advanced techniques.

A new method enhances robot manipulation under uncertain conditions.

FastSAM-3DSlicer simplifies 3D segmentation in medical images for improved diagnosis.

A look at two key approaches in data science and their unique strengths.

DistPred improves outcome predictions by accounting for uncertainty effectively.

Examining how to improve certainty in AI predictions through conflictual loss.

A new approach to decision-making that considers how choices shape outcomes.

New methods aim to improve how robots manage uncertain contact timings.

Techniques to improve graph inference and uncertainty estimation in various fields.

A new method for measuring uncertainty in deep learning, especially in survival analysis.

Two new estimators enhance accuracy in analyzing item response data.

AI improves early detection of colorectal polyps through advanced imaging techniques.

New methods improve accuracy of regional sea-level change forecasts using machine learning.

A new method improves uncertainty estimation in machine learning applications.

This article discusses how Bayesian methods improve confidence in neural network predictions.

A new module improves robot navigation by estimating uncertainty in image segmentation.

A new method for estimating conditional expectations efficiently in uncertain environments.

New method enhances MRI images by showing uncertainty in reconstructions.

New methods enhance safety in self-driving cars amid unpredictable obstacles.

New method enhances air quality predictions using machine learning techniques.

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.