Latest Articles for Data Analysis

This article explores the benefits of relative risk in genetic research.

A new framework improves diagnosis of brain disorders through enhanced EEG analysis.

This paper presents a new version of the alpha-stable distribution that includes degrees of freedom.

Exploring the link between soft happy colouring and community detection in networks.

A look at Probabilistic Error Cancellation in reducing errors in quantum computing.

A look into how isotropic basis functions aid in studying galaxy distributions.

This article presents a method to test independence in categorized data.

PLCP offers reliable prediction sets across diverse populations, enhancing decision-making.

A new method for improving graph data analysis and communication.

A new method enhances efficiency in protein sequence optimization.

A look at decision-making under uncertainty and how to make optimal choices.

These models improve understanding and adaptability in AI decision-making.

Innovative approaches improve the analysis of complex time series data.

Exploring the PAC-Bayesian framework's impact on machine learning generalization.

Learn how Tensor Frames improve data analysis with geometric properties.

Foundation models are transforming how we analyze and predict climate and environmental changes.

Gravitational waves reveal insights into the universe's most violent events.

New method enhances AI adaptability in different environments.

Researchers improve jet tagging using an efficient Mixer Network method.

drGAT uses machine learning to predict how cells respond to drugs.

D-TrAttUnet improves segmentation accuracy in medical imaging tasks.

Methods and techniques for better online decision-making amidst limited information.

A model that effectively fills in missing values in time series data.

This article examines how dust affects star observations in our galaxy.

Analyzing human movement can improve city planning and transportation systems.

Smarty library enhances our understanding of stellar populations in galaxies.

This article discusses how to enhance recommendation systems by incorporating both positive and negative user feedback.

A new method enhances example selection for visual learning tasks.

This study presents methods to streamline BLP estimation for better consumer demand analysis.

Enhancing LiDAR systems for better object recognition in autonomous vehicles.

The PWEXP package streamlines event prediction in clinical trials using piecewise exponential models.

A new framework enhances predictions for bladder cancer outcomes using deep learning.

A study on methods for understanding star formation in galaxies over time.

A new method for better estimating relationships in high-dimensional data.

Exploring advancements in understanding dark matter through gravitational lensing techniques.

AGS-GNN improves GNNs by addressing challenges in heterophilic graphs.

A guide to understanding sheaves and their role in mathematics.

A new method improves parameter optimization for ReaxFF in studying molecular interactions.

A new approach to identify anomalies in industrial data for better efficiency.

Transitioning from ECDF to EAF improves algorithm performance analysis.