Latest Articles for Data Analysis

A new method to identify Trojan backdoors in neural networks.

This study compares various forecasting methods for energy prices in Europe.

Introducing RADA, a framework for solving complex minimax problems effectively.

K-mers help scientists piece together DNA fragments for better microbial understanding.

This study examines the core of gamma-ray bursts for clues on their origins.

New approach improves understanding of cognitive abilities through brain imaging.

Learn how the Proxy Pattern-Mixture Model addresses missing survey data.

Topograph offers a fast method for image segmentation while keeping shapes and connections intact.

Research reveals insights into the origins and movements of stars in open clusters.

A deeper look at ICS for effective data analysis across multiple groups.

Learn about the KS test, its types, and implications for data analysis.

Discover the fascinating behaviors of particles and their transformations.

Scientists enhance methods to analyze stars' light with new periodogram technique.

New methods improve accuracy in brain neuron mapping and classification.

An overview of maximum likelihood estimators for log-concave densities and their properties.

Exploring the latest methods in particle jet tagging and their challenges.

A new method enhances seismic imaging by reducing noisy surface waves.

A new framework enhances predictions and decision-making under uncertainty.

A new method to improve training in physics-informed neural networks.

A new method improves simulations of binary star interactions.

A look into methods for understanding air flow through pressure field reconstruction.

A new method enhances document relation extraction for better connections.

New methods improve accuracy of disease spread estimates for public health responses.

A new approach for faster parameter estimation in complex systems using simulations.

Researchers leverage satellite data for better analysis of poverty levels worldwide.

Explore the role of Feedback Vertex Sets in tournaments and their significance.

FLEXtime provides clearer insights into time series data predictions.

This article discusses methods for learning unnormalized distributions using noise-contrastive estimation.

This research examines the trade-off between stability and fidelity in saliency maps.

A graph-based approach to enhance machine learning in dynamic environments.

edgeR helps analyze gene expression differences in various biological conditions.

Two methods enhance the accuracy of AI-generated text evaluations.

Shapley values enhance decision-making in DNA profiling and related fields.

A closer look at how abstention improves machine learning accuracy and reliability.

Exploring how neural networks tackle high-dimensional challenges in classification tasks.

A fresh approach enhances the study of policy impacts using synthetic control.

A look into the difficulties of identifying AI-generated code and improvements ahead.

Learn how RSA improves parameter estimation in particle physics models.

Learn how to group data effectively while considering important limits.

A new method enhances classification of high-dimensional time-series data using functional analysis.