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09/01/2023
Optimization towards Efficiency and Stateful of dispel4py
Scientific workflows bridge scientific challenges with computational res...
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12/08/2022
Blockchain for Data Sharing at the Network Edge: Trade-Off Between Capability and Security
Blokchain is a promising technology to enable distributed and reliable d...
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06/02/2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Recent methods based on Deep Neural Networks (DNNs) have reached high ac...
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10/19/2021
A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification
Electrocardiogram (ECG) is the most widely used diagnostic tool to monit...
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10/18/2021
Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
Large clinical datasets derived from insurance claims and electronic hea...
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10/15/2021
Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception
Associated with multi-packet reception at the access point, irregular re...
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08/22/2021
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
Federated Learning (FL) enables the multiple participating devices to co...
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04/27/2021
Block Access Control in Wireless Blockchain Network: Design, Modeling and Analysis
Wireless blockchain network is proposed to enable a decentralized and sa...
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02/04/2021
Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images
Machine learning technologies using deep neural networks (DNNs), especia...
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10/17/2020
CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images
Ambiguity is inevitable in medical images, which often results in differ...
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10/14/2020
FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data
Federated Learning (FL) enables the multiple participating devices to co...
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09/17/2020
An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector
Deep neural network (DNN), especially convolutional neural network, has ...
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08/08/2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Electrocardiogram (ECG) is the most widely used diagnostic tool to monit...
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05/19/2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Convolutional neural network (CNN) has surpassed traditional methods for...
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05/18/2020
