Latest Articles for Data Science

This study investigates quantum computing techniques for improving satellite image acquisition scheduling.

This paper examines methods for assessing the relatedness of concepts using DBpedia.

Introducing Knowledge Bridge Learning to enhance knowledge transfer in deep learning.

A new method enhances query intent classification in online shopping environments.

Addressing real-world data issues with new learning methods.

NAPA-VQ offers a solution to retain knowledge in AI systems while learning new information.

A new approach to understanding graph-structured data and node relationships.

A new method for computing Shapley values in naive Bayes classifiers improves model interpretability.

A novel method improves the ability of Vision-Language Models to adapt to new tasks.

Investigating how large language models enhance personalized recommendations through dialogue.

Innovative prediction method aims to improve diabetes management with less intrusive measures.

This research enhances person image searches through effective techniques and advanced models.

Introducing a fresh approach to calculating VC dimension for better model training.

PaLD offers efficient ways to analyze relationships in large datasets.

Using qudits in quantum systems enhances data classification methods.

A new method balances machine learning models for better performance.

MDCS improves classification accuracy for rare categories in image recognition.

This article examines how LLMs create efficient surveys in Natural Language Processing.

A new method connects prior knowledge to finite mixture models for clustering.

SharpCF enhances recommendation systems while maintaining efficiency and accuracy.

Introducing a balanced approach to prune deep neural networks effectively.

A look into the injectivity of ReLU layers and their implications in neural networks.

A project aims to identify harmful LGBTQ+ comments in multiple languages.

A new approach to traffic prediction that incorporates human activity data.

FedSIS improves face presentation attack detection while ensuring data privacy.

A method for improving graph partitioning by using buffer nodes.

A look into how instruction tuning enhances language model responses.

This study evaluates sentiment analysis techniques for Bangla using advanced language models.

A new approach to improve machine learning models across various domains.

A framework to assess GNNs' effectiveness in recommendation systems.

A new method for evaluating machine learning models without labeled data.

This study explores a deep learning approach to accurately classify music genres.

An innovative approach to compress network traffic data efficiently.

Explore how IML transforms data analysis into clear insights.

A new approach to enhance user recommendations through adaptive learning.

DynED adapts ensemble models for real-time data stream challenges.

New masking technique enhances video learning by utilizing motion for improved model training.

A new method enhances sepsis prediction accuracy through better data correction.

CoNe improves image classification by using similar images for training.

Enhancing data analysis and interpretation in healthcare using language models.