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09/04/2023
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems
Recently proliferated semantic communications (SC) aim at effectively tr...
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08/31/2023
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Deployment of Deep Neural Networks in medical imaging is hindered by dis...
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08/14/2023
Robustness Stress Testing in Medical Image Classification
Deep neural networks have shown impressive performance for image-based d...
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05/30/2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
This paper presents an effective and general data augmentation framework...
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05/08/2023
Multi-source Education Knowledge Graph Construction and Fusion for College Curricula
The field of education has undergone a significant transformation due to...
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07/20/2022
Tackling Long-Tailed Category Distribution Under Domain Shifts
Machine learning models fail to perform well on real-world applications ...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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02/20/2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Class imbalance poses a challenge for developing unbiased, accurate pred...
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07/25/2019
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation
Overfitting in deep learning has been the focus of a number of recent wo...
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10/20/2018
