Latest Articles for Data Analysis

New approaches improve resource allocation in online operations, balancing learning and decision-making.

R T-LLM improves traffic forecasting accuracy and explains its predictions.

A fresh approach offers clearer insights on ocean dynamics.

Revolutionize how we visualize and analyze categorical data through similarity patterns.

A study on improving electricity price predictions using Bayesian methods.

A study focusing on fair and explainable models for substance use disorder treatment predictions.

This article discusses efficient methods for estimating parameters in agent-based models.

Enhancing reliability in electrical grids through advanced fault location methods.

PNCs merge neural networks and probabilistic circuits for better prediction and modeling.

New methods improve understanding of nonlinear systems and their observability measures.

Researchers use Conformal Prediction to enhance gravitational-wave signal detection accuracy.

Scientists use quantum methods to enhance neutrino data analysis efficiency.

A new method for improving control in complex systems using MR-ARL.

SPOT framework improves clustering effectiveness in imbalanced datasets using pseudo-labels.

A new system aims to generate clearer edit summaries for better Wikipedia contributions.

Effective strategies for addressing uncertainty in Graph Neural Networks enhance reliability.

This article examines discrepancies in cosmic measurements and their significance.

A novel approach using machine learning to infer ODEs from imperfect observations.

Learn to improve optimization using simpler models combined with high-quality data.

Study reveals new methods to analyze violence data effectively.

A model reveals how interactions can lead to longer discussions.

A new metric to assess the accuracy of AI model explanations.

Learn how kernel smoothing clarifies complex sea ice models.

A look into how Morse theory analyzes distance functions and critical points.

New methods improve model performance in unsupervised learning tasks.

This article explores how LLMs generate and refine scientific hypotheses from existing data.

A new perspective on how neural networks learn features through expert-like paths.

A new framework enhances positioning accuracy for ultra-dense networks.

New algorithms improve Maxent model training for predicting wildfire occurrences.

Enhancing model accuracy by fixing input data issues.

A dataset examining how people judge the plausibility of events based on language.

A look at how different statistical methods affect uncertainty in nuclear science.

Extending Sliced-Wasserstein distances to Cartan-Hadamard manifolds for improved data comparison.

CLOUD offers a solution for hidden causes in causal analysis across varied data types.

Learn how technology transforms our understanding of animal navigation and behavior.

A detailed catalog sheds light on recent solar energetic particle events.

A method to improve statistical analysis and interpretation in economics.

A method to improve estimates from non-probability samples using calibration.

Exploring new detection methods in integrated passive radar technology.

New methods increase efficiency in analyzing subsequences across specified data ranges.