Latest Articles for Data Analysis

Learn how streaming algorithms improve data counting and memory efficiency.

Analyzing redshift measurement accuracy and systematic errors in galaxy observations.

New methods enhance understanding of brain activity through neural data analysis.

Analyzing social media stories and their effects on economic trends.

Research explores connections between top quark, Higgs boson, and CP violation.

A study highlights discrepancies in AI access among ethnic groups.

New strategy for conformance checking using fuzzy logs improves process analysis.

Examining biases in language models used for mental health analysis and solutions.

Leveraging language models improves predictions for tabular data across various fields.

Researchers develop a new way to create GRS using summary statistics.

Examining how interference affects treatment outcomes and improving estimation methods.

Learn how transcoders help clarify complex language models.

A new method enhances testing for language models using real user data.

Analyzing follow-up efforts reveals gaps in capturing signals from neutron star mergers.

New methods for identifying significant changes in data variance over time.

Job-SDF offers insights into evolving skill demands in today's job market.

Study assesses the accuracy of JWST's NIRCam Exposure Time Calculator for star observations.

Analyzing COVID-19 dynamics and underreporting in Mozambique and Zimbabwe during the pandemic.

Examining particle collisions reveals key information about hadrons and internal structure of protons.

This paper presents an efficient approach for real-time change detection in data.

A mathematical approach improves understanding of material properties at the atomic level.

A method to learn low-dimensional dynamics from noisy high-dimensional observations.

This article examines generative models that can outperform human experts in chess.

A new framework helps language models learn symbolic language without human input.

Addressing the cold start problem with new profiling techniques for better app performance.

A new tool uses machine learning to detect performance bugs effectively.

A method for comparing samples with missing data helps improve research accuracy.

A new approach for better edge classification using topological aspects.

A look at causal machine learning methods and their impact in complex studies.

A study on predicting 30-day post-surgery mortality using logistic regression.

A study assessing cultural biases in popular language models.

Blending traditional clustering methods with privacy protections using differential privacy.

This study proposes a method to measure cultural differences using social media.

DESI aims to accurately measure cosmic structures and dark energy through precise data collection.

Explaining GNN decisions using activation rules improves trust and understanding.

STimage-1K4M combines detailed images and gene data to enhance disease research.

Investigating Higgs boson properties offers insights into fundamental physics questions.

A fresh approach uncovers rhythmic behaviors in perception often missed by traditional methods.

A new dual-transformer model enhances execution time predictions from source code analysis.

A novel approach helps systems recognize both known and new categories.