Latest Articles for Data Analysis

A framework for improving online learning by minimizing decision regret.

New methods in simulations reveal insights into how galaxies form and evolve.

A new approach improves speech language identification using self-supervised learning and labels.

New approach improves machine learning with semantic positive pairs.

This study reviews machine learning's effectiveness in finding software vulnerabilities through modified data testing.

This study evaluates how well video retrieval models understand captions and video content.

This study shows how mixed data can enhance injury prediction accuracy.

New methods enhance MPI Alltoallv communication for improved FFT performance.

GLMMcosinor offers flexible modeling for studying complex biological rhythms.

A new policy enhances strategies for effective decision-making within a budget.

Researchers are improving methods to predict future actions in video content.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

Introducing SANGEET, a detailed dataset on Hindustani Classical Music.

A new statistical framework improves predictions of macroeconomic risks for policymakers.

Examining how preprocessing techniques affect brain connectivity findings in rs-fMRI studies.

A look into the meaning and history of randomization tests in statistics.

Research explores analyzing Telegram messages for signs of depression.

A look at Twitter data and public feelings for the FIFA World Cup.

This study explores using AI to enhance human activity tracking through better sensor data.

Improved models enhance understanding of black hole mergers and gravitational wave signals.

Learn how synthetic data can protect privacy in longitudinal research.

A new approach to enhance text generation from structured data.

A new approach to improving model performance in imbalanced datasets.

A study on hand-crafted and deep learning methods for 3D object recognition.

Study improves galaxy classification with advanced algorithms and vast datasets.

Exploring improvements in document retrieval methods for better information access.

Exploring subtle image changes that mislead deep learning models in various fields.

A study reveals distinct groups of stars in our galaxy.

A new method for analyzing power quality data without needing extensive labels.

Understanding how differential privacy secures sensitive information in data analysis.

Learn how electron ptychography enhances material imaging at atomic scales.

Research on clustering methods improves understanding of extreme climate interactions.

A new approach to enhance communication and tracking in agent networks.

ALFFI offers a fresh approach to simplify complex data analysis across various scientific fields.

WAM aims to predict wildfire impacts for better resource allocation and management.

This article examines how deep learning predicts financial volatility across various assets.

A look at graph matching and its applications in social networks and beyond.

This article discusses machine learning's role in analyzing nuclear reactions.

A new approach to improve multi-variate time-series predictions using GNNs.

This article discusses machine learning approaches to predict hydrogen combustion reactions.