Latest Articles for Data Science

This article examines methods to test language models for bias.

This study enhances patent image classification using advanced deep learning techniques.

A new method improves analysis of large datasets in complex systems.

Mask-tuning improves language models' ability to adapt to new examples.

LightPath offers a scalable and efficient approach to path representation in smart transportation.

An overview of LLMs, addressing their applications and key challenges.

A new method improves language model performance with less training data.

Combining physics with machine learning enhances model accuracy and efficiency across various fields.

FEML model improves predictions with limited data using knowledge transfer.

New deep learning method improves earthquake shaking predictions for timely alerts.

A new method enhances image segmentation accuracy in healthcare.

Choosing the right data is essential for accurate ocean behavior predictions.

A novel approach to address uncertainty in deep learning models.

A new method enhances how language models assess their confidence in predictions.

A framework improves language models for better medical entity recognition.

A new approach combines language and self-supervised learning to enhance video analysis.

Exploring how multiplicative neural networks improve polynomial modeling for engineering simulations.

A fresh approach to tackling vulnerabilities in mixed classifiers.

A method that improves machine learning for medical imaging with less data.

Addressing the impact of hard samples and noisy labels on machine learning models.

A new approach enhances depth estimation with diverse training data.

Diversity in AI design is vital to prevent bias and promote fairness.

A look at the importance of reliability in ML systems across various fields.

This article presents a model for improving user engagement through evolving preferences.

This article presents a method for obtaining multiple feature sets for predictive modeling.

This article discusses bias in machine learning and its impacts on minority groups.

A new dataset aids in identifying AI-edited texts in academic abstracts.

IWA updates improve algorithm performance by making tiny adjustments based on task importance.

PathOmics integrates pathology and genomics data to improve survival predictions for colon cancer.

ROAD uses machine learning to identify data anomalies in radio astronomy.

A new method improves data augmentation for histopathological image classification.

A look at how conformal prediction performs under challenging conditions.

OMIGA enhances offline multi-agent learning by integrating global and local learning strategies.

New methods offer solutions to complex optimization challenges in deep learning.

A guide on choosing key features for improving IDS performance.

Exploring methods for learning about polytopes through hyperplanes.

New methods create realistic digital models for safer medical device testing.

DEFTri automates defect triage, improving software issue assignment and efficiency.

This research enhances estimation methods for understanding complex networks.

A new method improves object state recognition using knowledge graphs.