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04/06/2023
SS-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
Shapelets that discriminate time series using local features (subsequenc...
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03/29/2023
Visual Content Privacy Protection: A Survey
Vision is the most important sense for people, and it is also one of the...
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03/22/2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Knowledge graph embedding (KGE) that maps entities and relations into ve...
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03/13/2023
Hybrid Variational Autoencoder for Time Series Forecasting
Variational autoencoders (VAE) are powerful generative models that learn...
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01/18/2023
Representing Noisy Image Without Denoising
A long-standing topic in artificial intelligence is the effective recogn...
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10/20/2022
A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends
Recent advances in edge computing have pushed cloud-based data caching s...
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08/15/2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
Since the traffic conditions change over time, machine learning models t...
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04/05/2022
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting
Fine-tuning attacks are effective in removing the embedded watermarks in...
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03/06/2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis
Cyberattacks from within an organization's trusted entities are known as...
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01/16/2022
Temporal Knowledge Graph Completion: A Survey
Knowledge graph completion (KGC) can predict missing links and is crucia...
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11/28/2021
Semantic Code Search for Smart Contracts
Semantic code search technology allows searching for existing code snipp...
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09/09/2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Federated learning (FL) is experiencing a fast booming with the wave of ...
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08/28/2021
Prototypes-Guided Memory Replay for Continual Learning
Continual learning (CL) refers to a machine learning paradigm that using...
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06/11/2021
SolcTrans: Towards machine translation of Solidity smart contract source code
Context: Decentralized applications on blockchain platforms are realized...
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05/31/2021
A Bytecode-based Approach for Smart Contract Classification
With the development of blockchain technologies, the number of smart con...
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03/12/2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Federated learning (FL) utilizes edge computing devices to collaborative...
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02/15/2021
Multi-class Classification Based Anomaly Detection of Insider Activities
Insider threats are the cyber attacks from within the trusted entities o...
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01/18/2021
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images
Current annotation for plant disease images depends on manual sorting an...
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06/05/2020
Content and Context Features for Scene Image Representation
Existing research in scene image classification has focused on either co...
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06/05/2020
Scene Image Representation by Foreground, Background and Hybrid Features
Previous methods for representing scene images based on deep learning pr...
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03/22/2020
HDF: Hybrid Deep Features for Scene Image Representation
Nowadays it is prevalent to take features extracted from pre-trained dee...
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11/13/2019
Image-Based Feature Representation for Insider Threat Classification
Insiders are the trusted entities in the organization, but poses threat ...
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10/12/2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Non-negative tensor factorization models enable predictive analysis on c...
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09/24/2019
Unsupervised Deep Features for Privacy Image Classification
Sharing images online poses security threats to a wide range of users du...
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09/22/2019
Tag-based Semantic Features for Scene Image Classification
The existing image feature extraction methods are primarily based on the...
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06/12/2019
Indoor image representation by high-level semantic features
Indoor image features extraction is a fundamental problem in multiple fi...
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12/05/2018
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control
Online crowdsourcing provides a scalable and inexpensive means to collec...
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07/03/2018
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
Emerging technologies like the Internet of Things (IoT) require latency-...
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02/19/2018