Latest Articles for Data Science

A new method for enhancing small language models using knowledge graphs for better causal analysis.

New methods improve Alzheimer’s diagnosis accuracy by addressing missing data.

A tool that converts RDF data into usable formats for machine learning.

Exploring the issues of epistemic uncertainty in Bayesian Deep Learning methods.

New methods enhance accuracy in predicting flu-related hospitalizations.

A new method boosts the resilience of VAEs against tricky data manipulations.

New methods help improve data analysis of SPD matrices.

A novel approach to enhance predictions in dynamic graphs using Transformers.

New methods improve accuracy in predicting lake temperatures for environmental management.

A model that improves predictions of critical health issues for better patient care.

Study reveals insights into in-context learning performance across various model architectures.

A look at a new method for sharing information focused on meaning.

Exploring methods to identify fake news using semi-supervised learning techniques.

A deep dive into the importance of interpreting NLP models.

GV-Rep aims to improve the analysis of genetic variants for patient care.

This paper discusses improvements in language models for legal applications.

This article details a technique for using smaller mini-batches in LLM training.

A new framework enhances accuracy in predicting diagnoses from incomplete patient records.

Discover two new methods improving optimization efficiency across various fields.

Introducing models designed to improve natural language processing in Portuguese.

Exploring how multimodal data enhances product recommendations on Taobao.

CAReLU enhances learning by balancing positive and negative values in deep learning models.

A new framework enhances app prediction through advanced data integration techniques.

Research focuses on improving smaller MLLMs using knowledge from larger models.

Learn how active prompt engineering improves tasks for language models.

This study compares turtle and JSON formats for storing astronomical provenance data.

This research evaluates new methods for improving quantum machine learning models.

New method improves accuracy and efficiency in deep learning models.

Integrating economic complexity metrics improves our understanding of urban dynamics.

A new method for faster reinforcement learning through knowledge sharing.

A new method improves intracranial hemorrhage diagnosis using weakly supervised learning.

Introducing an effective method for grouping mixed data with both numbers and categories.

A technique to enhance training datasets for better agent performance.

Effective data selection is key to improving language model performance.

This article examines mathematical models for disease transmission and their public health implications.

xAI-Drop leverages explainability to improve Graph Neural Networks' performance and clarity.

Introducing a new method for estimating counts in DNF formulas.

A new method enhances learning from graphs despite data noise.

A new approach enhances zero-shot learning for better IoT data classification.

Discover innovative multilevel approaches transforming optimization strategies for complex problems.