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06/10/2023
Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification
The identification of key factors such as medications, diseases, and rel...
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01/11/2023
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation
Image segmentation is a very popular and important task in computer visi...
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05/27/2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coro...
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05/15/2022
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
The fast execution speed and energy efficiency of analog hardware has ma...
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05/07/2022
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models
Analog hardware has become a popular choice for machine learning on reso...
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01/04/2022
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection
Social media has become an effective platform to generate and spread fak...
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01/28/2021
A Survey of Complex-Valued Neural Networks
Artificial neural networks (ANNs) based machine learning models and espe...
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11/24/2020
Benchmarking Inference Performance of Deep Learning Models on Analog Devices
Analog hardware implemented deep learning models are promising for compu...
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08/18/2020
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs
The empowering unmanned aerial vehicles (UAVs) have been extensively use...
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06/29/2020
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach
Multi-access edge computing (MEC) has already shown the potential in ena...
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06/27/2020
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework
This letter proposes an edge learning-based offloading framework for aut...
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05/10/2020
Efficient Privacy Preserving Edge Computing Framework for Image Classification
In order to extract knowledge from the large data collected by edge devi...
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05/06/2020
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning
Cell type identification from single-cell transcriptomic data is a commo...
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04/26/2020
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media
Social media is a popular platform for timely information sharing. One o...
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04/19/2020
Device Authentication Codes based on RF Fingerprinting using Deep Learning
In this paper, we propose Device Authentication Code (DAC), a novel meth...
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01/31/2020
Two-path Deep Semi-supervised Learning for Timely Fake News Detection
News in social media such as Twitter has been generated in high volume a...
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06/10/2019
Deep Two-path Semi-supervised Learning for Fake News Detection
News in social media such as Twitter has been generated in high volume a...
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03/30/2018