Latest Articles for Data Analysis

Exploring the need for clear explanations in Graph Neural Networks.

A framework to simplify imaging data analysis for researchers.

OPSSAT-AD dataset aids in detecting unusual satellite events.

LISA aims to expand our knowledge of the universe through gravitational wave detection.

A unified framework to assess explanation types for better model understanding.

This article presents a method for real-time spam review detection and explainability.

Research highlights in-context learning abilities in large language models.

A look into how linear networks learn and evolve during training.

Using property graphs to simplify the analysis of complex laws.

ERIC offers an efficient way to measure graph similarities with improved accuracy.

ATLAS enhances seismic data selection using active learning and representation shifts.

Research on oncostreams offers insights for better glioma therapies.

GIEBench assesses LLMs' empathetic responses based on diverse group identities.

A study on radar techniques for tracking plasma turbulence in the ionosphere.

Study reveals little link between department expertise and software accuracy.

Researchers use machine learning to improve signal detection in communication systems.

Learn about FTFIs and their impact on tree data structures in machine learning.

A study on Italy's regional languages using advanced speech analysis techniques.

A new framework combines language models and knowledge graphs for clearer product suggestions.

A new method simplifies variable selection in large datasets.

A look into injectivity challenges and methods in ReLU layers within neural networks.

The LIGHTS survey reveals numerous faint satellite galaxies around nearby galaxies.

A novel approach enhances the ability to find exoplanets in starry skies.

A system combines audio and video to enhance speaker detection accuracy.

Learn how differential privacy protects individual data while allowing useful analysis.

Research highlights how prompts affect AI-generated text detection accuracy.

A new algorithm improves frequency estimation and heavy hitter identification in networks.

Research assesses language models' claim verification abilities using a new dataset.

A new method addresses missing data in redshift estimation for galaxies.

This article examines how certain neurons affect uncertainty in language model predictions.

This paper presents a method to assess language models across various prompts.

Identifying flaws in smart contracts to enhance security and reduce risk.

This article explores how geometry helps analyze complex systems through Betti curves and manifolds.

HEST-1k provides a detailed dataset linking gene activity and tissue images for research.

Gaussian Mixture Models improve predictions in particle physics by addressing data tensions.

Recent findings on wide binary stars raise questions about gravity and celestial dynamics.

A look at how algebraic curves enhance data predictions across various fields.

New methods improve understanding of social influence within networks.

A study highlighting the importance of comprehensive annotations for retrieval evaluation.

Machine learning methods enhance unfolding techniques in high-energy physics for accurate particle properties.