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11/24/2022
Towards Interpretable Anomaly Detection via Invariant Rule Mining
In the research area of anomaly detection, novel and promising methods a...
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08/03/2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data
Time series anomaly detection (TSAD) is an important data mining task wi...
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05/15/2022
Reliable Offline Model-based Optimization for Industrial Process Control
In the research area of offline model-based optimization, novel and prom...
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06/15/2021
Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
Recent advances in AIoT technologies have led to an increasing popularit...
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06/09/2021
Nonlinear Hawkes Processes in Time-Varying System
Hawkes processes are a class of point processes that have the ability to...
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05/18/2021
Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection
In real-world maintenance applications, deep generative models have show...
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11/25/2020
Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Most deep neural networks (DNNs) based ultrasound (US) medical image ana...
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11/02/2020
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
With the development of radiomics, noninvasive diagnosis like ultrasound...
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09/09/2020
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification
Ultrasound (US) is a non-invasive yet effective medical diagnostic imagi...
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04/19/2020
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning
Recent advances in the Internet of Things (IoT) technology have led to a...
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04/19/2020
RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation
Recent advances in the Internet of Things (IoT) technology have led to a...
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10/31/2018
Improving ICS Cyber Resilience through Optimal Diversification of Network Resources
Network diversity has been widely recognized as an effective defense str...
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10/26/2016