Latest Articles for Data Analysis

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.

REMO improves molecular understanding through innovative reaction-based learning.

A look into social media's role in shaping public discourse and misinformation.

Analysis reveals key moments affecting the electricity grid's reliability.

Research shows language models struggle with caused-motion constructions.

Examining the hurdles in interpreting spatial transcriptomics data.

A study on new methods to analyze sea temperature data from 1982 to 2012.

New techniques improve predictions of economic trends using diverse data.

An automated approach enhances efficiency and accuracy in simulating porous materials.

New approach enhances recommendations for limited-stock items in C2C platforms.

Assessing uncertainty in neural networks for improved scientific predictions.

A new approach improves model performance against distribution shifts and adversarial attacks.

This work presents a new method for computing Reeb spaces in complex data sets.

Examining how Adaptive Experimental Design improves marketing strategies in real-time.

New dataset aids automated detection of throwing actions in surveillance footage.

GeneSurfer allows researchers to interactively explore gene expression patterns in three dimensions.

A look at how GNNs analyze graphs and adapt to changes.

A new method improves uncertainty estimation in atomistic simulations with deep learning.