Latest Articles for Transfer Learning

A study on the effectiveness of transferability scores in medical imaging tasks.

Discover how language models enhance medical image segmentation.

FLAIR model improves eye disease analysis using expert knowledge and fundus images.

Study shows how transfer learning enhances cognitive task performance using EEG data.

Research shows AI can enhance fetal head circumference measurement accuracy.

Machine learning helps predict water conditions in areas without monitoring stations.

Recent models enhance predictions for antibody interactions with key antigens.

Grad-CAM helps doctors trust AI in diagnosing medical conditions.

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

Disposable Transfer Learning addresses privacy concerns while maintaining model performance.

New dataset enhances research on nerve cells in rodents using fluorescence microscopy.

This study explores bias in audio models used for instrument recognition.

A new framework enhances the use of qualitative data for better decision-making.

TAN improves image generation using limited data through innovative techniques.

Machine learning techniques enhance data analysis in serial femtosecond crystallography.

AI tools can improve early diagnosis of diabetic retinopathy to prevent vision loss.

New techniques improve disease diagnosis while ensuring patient privacy.

A new method enhances model performance across various data types.

Exploring new strategies for improved robotic movement.

A new method improves medical image segmentation with less labeled data.

New methods improve biological age predictions using epigenetic data.

OSBORN helps choose the best pre-trained models for specific tasks.

Introducing MultIOD for efficient object detection without rehearsal.

How transfer learning improves threat detection and privacy in cybersecurity.

This study uses deep learning to predict liver cancer risk in NAFLD patients.

This study examines how to classify revisions for better argumentative writing.

TransNet offers an efficient solution for recognizing human actions in video data.

An overview of challenges and solutions in multilingual search.

DeepVol uses deep learning for improved volatility predictions across various financial assets.

A new method enhances model accuracy through federated learning and kernel regression.

Study shows Supervised Contrastive Learning enhances model performance across varied datasets.

A new neural network model improves text recognition across different tasks and domains.

New techniques enhance model performance using limited labeled data.

MoMA improves AI learning in pathology with limited data access.

Research shows machine learning can predict non-Hermitian phase boundaries using Hermitian data.

A new model predicts material behavior efficiently using machine learning techniques.

New techniques are improving Arabic question answering systems for better performance.

Research explores improving machine learning adaptability through meta-learning and Solomonoff Induction.

Double-Dip combines transfer learning and randomization to guard against membership inference attacks.

A new approach to tackle covariate shift in machine learning models.