Latest Articles for Data Analysis

This article discusses privacy methods for tabular data in large language models.

This paper discusses methods to create sparse covariance matrices to improve statistical analysis.

An exploration of sumsets and their significance in computational mathematics.

A new estimator improves analysis of complex datasets with multiple outputs and noise.

A new benchmark assesses how well LLMs assist in data analysis tasks.

A guide to using hesitant fuzzy soft sets in complex decision-making scenarios.

Discover how GSP and GFRFT reshape data analysis on graphs.

Learn how to combine evidence processes in data analysis effectively.

Analyzing how mobile data reveals tourism behavior in Lombardy.

New methods for creating and evaluating genomic region sets enhance research precision.

Learn how to measure influence in networks over time for effective information spread.

Using data models to forecast emergencies in Edmonton for better community safety.

A new approach enhances how different data types are combined for better analysis.

New method enhances forecast accuracy by managing errors across time steps.

A new method improves accuracy and efficiency in single-cell RNA sequencing data analysis.

A look at how persistent homology aids in studying solar magnetograms and activity.

Analyzing stress and depression can enhance our understanding of mental health.

Introducing a multiscale method to improve fairness in electoral district drawing.

This article introduces a new way to analyze economic responses to shocks.

HAYATE blends machine learning and traditional techniques for better galaxy distance measurements.

New findings challenge the idea that classification and explanation robustness are linked.

Harnessing machine learning to enhance accuracy in demand predictions for businesses.

DiffRed combines techniques to simplify data analysis and improve results.

A new approach improves recognition for underrepresented classes in computer vision.

This study enhances SZ signal extraction using a new deep learning method.

A look at how Brownian motion trees model trait evolution.

Analyzing models to predict electricity prices in the evolving balancing market.

A method to improve product recommendations in online shopping through better data use.

Learn how Bayesian methods improve predictions using past data.

6G networks aim to reshape connectivity and data management through Federated Analytics.

Creating a system to compare libraries across programming languages effectively.

A new method improves AI's learning capabilities with limited data.

This study reveals methods for detecting unusual gaps in object movement data.

A new approach emphasizes valid approximations over searching for truth in models.

A large dataset of prompts and videos advances text-to-video technology.

Research unveils crucial findings on particle behavior in high-energy collisions.

A new approach to filtering complex systems using Gaussian PSD Models.

D-DUIO improves state estimation using data-driven approaches across dynamic systems.

A new software tool improves the study of parton densities in particle physics.

This research focuses on computing threshold functions effectively despite noisy data.