Latest Articles for Data Analysis

This article discusses improving GNNs for analyzing financial transaction patterns.

How delays impact the efficiency of adaptive trial designs.

Using machine learning to classify Kronecker coefficients as zero or non-zero.

Learn how robust optimization helps solve issues in uncertain environments.

New methods boost prediction accuracy using covariance functions.

Study explores galaxy clustering and its implications for dark energy and cosmic structure.

A new method enhances photon energy reconstruction in particle experiments.

Neural networks enhance the accuracy of predicting nuclear masses, bridging gaps in theoretical models.

A look at the effectiveness and limitations of debiased shrinkage estimators.

NeuroGraph offers new data for machine learning in brain research.

AgriBERT uses NLP to improve food analysis in agriculture.

Contextual biasing enhances ASR systems, improving accuracy in specialized tasks.

New cWGAN model enhances solutions for complex inverse problems.

This article explores how different models learn features from data using the interaction tensor.

A fresh approach simplifies handling large tables for quick question responses.

Effective evaluation methods for generative models enhance understanding and performance.

This study examines the convergence of sampling operators in Orlicz spaces.

A new method improves predictions in session-based recommendation systems.

Efficient methods for analyzing complex dynamical systems using Koopman operators.

Optimizing agent-based models for better performance in biological simulations.

Updating ExoMol database to include crucial UV absorption processes.

A new method enhances the reliability of next-generation sequencing data.

Examining fairness across hiring, healthcare, lending, and renting using simulated data logs.

New dataset improves language models' understanding across languages.

A fresh approach to train models using corrupted datasets.

A study on the reasoning behind document-level relation extraction model predictions.

Introducing a method that combines local and global attention for improved graph clustering.

Exploring the Solar Flare Index and its impact on solar activity.

A new mixed precision approach improves solving total least squares problems.

A new method enhances hyperparameter learning for better predictions in Gaussian processes.

Examining settlement arrangements in cities reveals hyperuniformity's role in urban planning.

A new method enhances 3D human pose estimation through LiDAR data.

Exploring new methods to improve decision-making amidst uncertainty using neural networks.

A method to detect systematic failures in multimodal models before real-world use.

This project uses NLP to assess the quality of classroom discussions automatically.

Language models enhance collaboration and understanding in scientific simulations.

New method helps address missing data in digital health records.

A method to improve estimates where data is missing due to self-censoring.

A new model streamlines document classification with compressed images, improving speed and accuracy.

Examining how AI handles human-like reasoning and its biases.