Latest Articles for Data Analysis

A new model to assess heavy metal risks in soil.

A novel approach for better interpreting videos and answering complex questions.

This method creates realistic explanations for AI decisions in finance and healthcare.

Discover how machine learning is reshaping industrial processes and decision-making.

Analyzing social media data to identify signs of suicidal ideation.

New methods enhance optimization without relying on Lipschitz continuity.

A new method helps tackle tough statistical inference issues using artificial samples.

Utilizing social media to understand community needs and strengths.

A new method to assess large language models using fewer examples.

This article examines the properties and classification of double-mode RR Lyrae stars.

This study examines how ERM can function effectively with smooth data patterns.

An in-depth look at how features work together in various AI models.

A look at how Linear Transformer Blocks improve language models through in-context learning.

This paper shows how NLP aids research in energetic materials.

Analyzing the complications of extrapolating completely monotone functions amid noisy data.

A look at methods to improve model predictions and reduce uncertainty.

A guide to understanding music similarity in generative models.

Investigating the challenges of sparse linear regression through lattice problems.

This article explains clustering methods for analyzing longitudinal data effectively.

Study examines how missing connections affect link prediction accuracy across networks.

New methods improve decision-making by allowing learners to abstain from action.

New method enhances accuracy in health data analysis from wearable devices.

A project uniting data to improve pediatric cancer treatment options.

Innovative methods enhance time series analysis through automation and machine learning.

Learn how AutoCD simplifies finding causal relationships in data.

A new method enhances identification of chipwood pallets and metal plates.

A new approach to efficiently solve complex PDEs using machine learning.

TagS enhances cybersecurity by using real-time detection and efficient resource management.

A new method enhances variational inference efficiency and accuracy.

This study presents two algorithms for accurate recovery of source terms in initial value problems.

Improving efficiency in Datalog through semirings and grounding techniques.

The PGIR survey identifies and classifies numerous Long Period Variable Stars using machine learning.

Creating effective visual tools that cater to older adults' needs.

This article discusses a new method for enhancing Extreme Learning Machines in various applications.

Introducing an algorithm for better decision-making with uncertain rewards in complex scenarios.

Study analyzes COVID-19 patients to improve treatment strategies in Lebanon.

How machine learning enhances audit sampling methods in data-rich environments.

New methods improve disease model accuracy for public health decision-making.

This paper examines the impact of location on fairness in AI systems.

Examining how large models efficiently learn from minimal data.