Latest Articles for Data Science

GATH enhances knowledge graph completion using advanced attention mechanisms for better accuracy.

FPT+ enhances transfer learning for high-resolution medical images with minimal resources.

A new approach to improve representation of intersectional identities in image search.

Using LLMs improves annotation processes in scientific knowledge graphs.

A new approach lowers memory needs while keeping recommendations relevant.

A new model improves sequence generation by combining the strengths of VAEs and SSMs.

A look at methods to understand dynamical systems through data-driven approaches.

A new method balances efficiency and accuracy in image classification.

NFE offers an efficient way to enhance model performance without heavy computational costs.

New methods improve efficiency in machine learning model selection.

A new algorithm improves data sharing and machine learning efficiency using synthetic datasets.

This article examines how synthetic data boosts OCR error correction performance.

A new method enhances computer vision with RGB-D data and curriculum learning.

The study highlights challenges LLMs face with low-resource languages.

A new method improves accuracy in advanced AI models by addressing hallucinations.

Researchers enhance gaze prediction accuracy through improved EEG data processing methods.

A novel approach to enhance understanding of GNN predictions through causal relationships.

This article explores best practices for integrating HCI datasets in ML courses.

A new framework improves alignment of language models with user preferences.

A new approach combines labeled and unlabeled data for better image segmentation.

Introducing a new method for improving clustering techniques using distribution learning.

A new method blends visual and temporal analysis for art evaluation.

ULLME enhances text embeddings and retrieval tasks using large language models.

A new approach enhances dataset distillation by prioritizing alignment in data extraction and embedding.

A new method for safer predictions in critical applications.

A new method enhances detection of malicious activities in computer networks.

A new method estimates causal effects using few interventions even with hidden factors.

DaVE offers examples to help visualize complex data effectively.

A new framework enhances GNNs for better combinatorial optimization solutions.

An analysis of large language models and their translation capabilities across various languages.

A new system enhances medical inquiries by merging LLMs with knowledge graphs.

Utilizing LLMs to enhance e-commerce tasks through instruction tuning and quantization.

Orca improves wave height estimation using limited buoy data and machine learning.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Exploring the role of surrogate models in improving aircraft design efficiency.

A novel method enhances data representation for quantum computers in machine learning.

This study improves classifier performance through targeted strategies in Multi-Instance Partial Label Learning.

A project improves math video accessibility through clear written expressions.

A detailed look at training and dynamics in machine learning.

An overview of techniques for generating realistic infrared images.