Latest Articles for Data

SPLICE method enhances understanding of shared and private information in neuroscience.

Exploring current gaps in data transparency practices across AI systems.

Using neural networks to identify damage in thin aluminum plates for safer structures.

A look into the types and measurement of uncertainty in predictions.

Learn how models help optimize cassava growth and breeding efforts.

Exposing the manipulation risks of influence functions in machine learning.

A new system enhances information retrieval on mobile devices with efficiency and speed.

New method improves point cloud quality with weighted loss functions.

mcBERT shines a light on cell analysis for improved healthcare.

The UVIT DR1 catalog reveals extensive data on cosmic ultraviolet sources.

Machine learning detects lighthouse sensor faults for safer navigation.

VirNA offers clear virus tracking through genetic connections and rapid analysis.

An analysis of how retrieval systems perform in changing data environments.

Introducing NLLB-E5, a model enhancing multilingual information access for low-resource languages.

A new method reveals how marketing actions affect campaign results over time.

This study evaluates how LLMs process information using Olympic medal data.

A new method improves frequency estimation in pulse trains with noise and missing data.

New methods improve speed and accuracy in reconstructing medical shapes.

A tool helps users confirm if their data was used in deep learning models.

A system that helps users control data from IoT devices.

Researchers explore acoustic techniques to detect elusive neutrinos in water.

Vcfexpress simplifies genetic data handling with speed and customization options.

This study explores the interactions of self-propelled particles with walls using experimental data.

Researchers use Tailtags to study mouse interactions and social dynamics.

A significant study finds no signs of sterile neutrinos in recent experiments.

Multi-fidelity modeling optimizes simulation accuracy while reducing computational expenses.

Research reveals complexities in early observations of Type Ib supernovae.

This research simplifies learning directed acyclic graphs from data using convex optimization.

Researchers introduce a method to better understand survey responses and individual perceptions.

Research reveals trends in animal communities over decades at rocky shore sites.

A new method helps researchers better analyze data affected by Sybil activity.

Robots can better manipulate cloth by identifying layer counts using advanced sensors.

This study highlights machine learning's role in forecasting healthcare needs during winter months.

A new system improves the speed and accuracy of video labeling.

Using machine learning to study supernova remnants across multiple wavelengths.

Omics analysis provides insights into molecular interactions and disease mechanisms.

Using deep learning to improve detection of neutron star mergers.

Fast and accurate shape estimation for soft continuum robots using neural networks.

A new method enhances freelancer and project matching efficiency across languages.

Equimetrics enhances rider and horse performance through data collection and analysis.