Latest Articles for Data Analysis

A new method to assess data quality and value in machine learning models.

A new approach using Kolmogorov-Arnold Networks improves predictions of nuclear binding energy.

A new dataset highlights biases in speech models based on gender and age.

A method to model dynamic systems with improved efficiency.

A new framework improves predictive modeling by merging varied engineering data sources.

Carafe improves peptide detection in DIA studies through innovative spectral library generation.

New methods improve design and prediction of 2D perovskites for solar applications.

This article discusses a unified method to assess and improve traffic safety.

A novel method for analyzing cloud system performance through detailed simulations.

This article reviews GALPRO's performance in estimating galaxy redshifts across different datasets.

Cytomarker combines human expertise and computer analysis for designing antibody panels.

A new approach uses machine learning to predict properties of complex alloys.

This article discusses the Precipitation Attribution Distance method for improving forecast accuracy.

New methods improve material identification in hyperspectral imaging.

A new framework for evaluating vision-language models effectively.

Assessing biases in machine learning can lead to fairer outcomes for all.

A look at how Manipulable Semantic Components streamline data visuals.

A new method improves smaller models for extracting cancer treatment symptoms.

A fresh approach to detecting recessions using job data.

A new system enhances the analysis of particle contamination in diagnostic testing.

Introducing interval assumptions to enhance biological data analysis.

New methods enhance image processing speed and quality in real-time applications.

New methods using algorithms improve track finding from space points in particle collisions.

Exploring submodular optimization, its applications, challenges, and algorithms used to solve complex problems.

A new dataset provides valuable insights for fluid dynamics research in automotive design.

Discover how memristive technology can transform matrix inversion efficiency.

New methods improve estimates of treatment effects in clinical trial subgroups.

Strategies for optimal control in uncertain dynamic systems.

LiPCoT transforms time series data for language model applications.

This study investigates how transformers learn through multi-head attention in regression tasks.

New methods improve confidence sets in high-dimensional statistics.

A look into models for studying charged particle production in collisions.

CHIME uses holographic mapping to enhance its cosmic observations.

This study investigates the structure and dynamics of open star clusters.

A tool for simultaneous variable selection in Bayesian regression models.

New methods boost reasoning skills of language models using case examples.

New method improves fidelity of quantum gate operations using pulse optimization.

This study evaluates reasoning abilities and biases in large language models.

Learn how businesses can analyze social media to better understand customer interests.

Combining images and text enhances predictions of future events.