Latest Articles for Data Analysis

ISLES’24 aims to improve stroke damage prediction using imaging and clinical data.

New model SDI-Net improves clarity in low-light images using dual stereo views.

Exploring how immersive tech enhances cybersecurity insights and decision-making.

A new single-branch method improves machine learning performance with missing data.

TimeInf enhances understanding of time series data contributions for better modeling.

A new algorithm improves data on arm movements during everyday tasks.

A new model to accurately process hierarchical data structures.

New methods improve patient grouping for personalized cancer therapies.

A new method improves the accuracy of detecting synthetic audio.

A new method improves understanding of event timing relationships in text.

New methods improve variable selection in high-dimensional data analysis.

A study on KAN's effectiveness compared to traditional methods in time series analysis.

A new method combines EEG, audio, and facial expressions to assess mental health.

Machine learning enhances the speed and accuracy of detecting gravitational waves.

A fresh method offers better insights into London’s real estate market.

Exploring LASSO for effective model selection in network data analysis.

This study assesses KANs for effective fraud detection in various industries.

Examining how connectivity affects node influence in core-periphery structures.

A look at Lamb Waves and their role in structural health monitoring.

Learn how to quickly estimate residual error for matrices and vectors.

HiFuse enhances the speed and efficiency of heterogeneous graph neural networks.

A new framework enhances analysis of continuous-discrete state space models using particle-based techniques.

Data Space Inversion improves prediction accuracy for geothermal energy management.

A fresh method for assessing AI models through cross-model correlations.

mrCOSTS helps in revealing hidden patterns in complex data across various fields.

Effective ways to present uncertainty improve decision outcomes across various fields.

A new approach enhances accuracy and efficiency in weather predictions using machine learning.

Exploring the potential of Kolmogorov-Arnold Networks in particle physics classification tasks.

Learn how Huber means provide a stable average in data with outliers.

Exploring safety measures for machine learning models in space research.

This study examines how altering language affects text classifiers.

Leveraging quantum machine learning to enhance cybersecurity vulnerability analysis.

Learn how time series analysis aids in predicting future trends.

HELP improves log parsing for better analysis and efficiency.

A look into how AI is shaping personalized healthcare.

Learn how RED-CT improves language model applications in resource-limited settings.

Learn how stable rank and intrinsic dimension provide insights into matrix properties.

A clear overview of factor models and their applications in various fields.

The study evaluates originality in AI-generated images using token measurement.

A practical solution for detecting modulation types in wireless communications.