Latest Articles for Data Analysis

Combining physics and machine learning improves subsurface imaging techniques.

New methods boost accuracy in handling missing data for staged trees.

CRED dataset enhances research on gene-disease causal relationships in biomedical literature.

Examining the importance of fairness in sharing information across diverse groups.

Innovative approaches improve understanding of stochastic equations affected by random elements.

A new method for selecting data examples enhances machine learning efficiency.

A fresh method addresses data contamination in testing language models.

Examining how user movement affects wireless connections in XR applications.

Learn methods to minimize binary polynomials and their applications in various fields.

A novel method enhances data distribution analysis across multiple categories.

BayTTA merges TTA and BMA for better accuracy in medical imaging.

A study on improving core decomposition methods using distributed computing.

A new method enhances accuracy of treatment effects across diverse patient groups.

A new method improves identification of switched linear systems through robust techniques.

Introducing h-Louvain for better community detection in complex networks.

A machine learning tool enhances our view of dark energy and gravity in the Universe.

Examining how hyper-parameters shape the effectiveness of deep RL agents.

This article examines how LLM-generated embeddings relate to key tokens in texts.

Learn effective strategies for error management in co-simulation scenarios.

A look at how drones and IoT improve rural environmental monitoring.

ConStruct framework enhances graph generation by integrating domain knowledge for practical applications.

This study assesses lightweight embedding methods for effective recommender systems.

Modern imaging and machine learning improve detection of particle decays.

We develop methods for refining models using noisy and indirect observations.

A benchmark tool advances active learning strategies in machine learning.

New framework improves detection of known and unknown objects in three-dimensional space.

Our research examines the effects of randomness on galaxy clustering measurements.

New kernels enhance data analysis through complex function interactions.

RAGBench introduces a comprehensive dataset for evaluating Retrieval-Augmented Generation systems.

Explore how large language models can enhance transit services in San Antonio.

EngineBench offers real data to improve airflow understanding in combustion systems.

New methods improve summarizing long texts across various fields.

A-TEAM simplifies traffic management with data-driven tools and modular applications.

New algorithm improves clustering by combining features and spatial positions.

WV-Net model improves analysis of SAR images for ocean monitoring.

This paper explores EM algorithm behavior in mixed linear regression for improved model accuracy.

A new approach to quantify uncertainty in systems using MDPs.

Explore how Fourier analysis enhances the understanding of sparse Boolean functions.

This article presents a dual encoder system for effective speech representation learning.

New methods enhance the connection of individuals in historical texts.