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Tonguenet: Accurate Localization and Segmentation for Tongue Images Using Deep Neural Networks

IEEE access, 2019, Vol.7, p.148779-148789

2019

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Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection

Advances in Knowledge Discovery and Data Mining, 2020, p.688-700

2020

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Semi-supervised wildfire smoke detection based on smoke-aware consistency

Frontiers in plant science, 2022-11, Vol.13, p.980425-980425

2022

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Deep Residual Haze Network for Image Dehazing and Deraining

IEEE access, 2020, Vol.8, p.9488-9500

2020

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Graph-Guided Neural Network for Tourism Demand Forecasting

IEEE access, 2023, Vol.11, p.134259-134268

2023

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LEPF-Net: Light Enhancement Pixel Fusion Network for Underwater Image Enhancement

Journal of marine science and engineering, 2023-06, Vol.11 (6), p.1195

2023

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Heterogeneous Hypergraph Variational Autoencoder for Link Prediction

IEEE transactions on pattern analysis and machine intelligence, 2022-08, Vol.44 (8), p.4125-4138

2022

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Anomalydae: Dual Autoencoder for Anomaly Detection on Attributed Networks

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.5685-5689

2020

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Self-supervised multi-transformation learning for time series anomaly detection

Expert systems with applications, 2024-11, Vol.253, p.124339, Article 124339

2024

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Exploiting negative correlation for unsupervised anomaly detection in contaminated time series

Expert systems with applications, 2024-09, Vol.249, p.123535, Article 123535

2024

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Deep Dual Support Vector Data description for anomaly detection on attributed networks

International journal of intelligent systems, 2022-02, Vol.37 (2), p.1509-1528

2022

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DeepCrackAT: An effective crack segmentation framework based on learning multi-scale crack features

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.106876, Article 106876

2023

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Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation

Computers in biology and medicine, 2023-03, Vol.154, p.106551-106551, Article 106551

2023

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iTimes: Investigating Semisupervised Time Series Classification via Irregular Time Sampling

IEEE transactions on industrial informatics, 2023-05, Vol.19 (5), p.6930-6938

2023

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Self‐supervised domain adaptation for cross‐domain fault diagnosis

International journal of intelligent systems, 2022-12, Vol.37 (12), p.10903-10923

2022

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Semi-supervised Time Series Classification Model with Self-supervised Learning

Engineering applications of artificial intelligence, 2022-11, Vol.116, p.105331, Article 105331

2022

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FireMatch: A semi-supervised video fire detection network based on consistency and distribution alignment

Expert systems with applications, 2024-08, Vol.248, p.123409, Article 123409

2024

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Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-12

2023

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TCM herbal prescription recommendation model based on multi-graph convolutional network

Journal of ethnopharmacology, 2022-10, Vol.297, p.115109-115109, Article 115109

2022

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Information Transfer in Semi-Supervised Semantic Segmentation

IEEE transactions on circuits and systems for video technology, 2024-02, Vol.34 (2), p.1174-1185

2024

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Self-Supervised Multi-Scale Cropping and Simple Masked Attentive Predicting for Lung CT-Scan Anomaly Detection

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.594-607

2024

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Rectifying inaccurate unsupervised learning for robust time series anomaly detection

Information sciences, 2024-03, Vol.662, p.120222, Article 120222

2024

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StainGAN: Learning a Structural Preserving Translation for White Blood Cell Images

Journal of biophotonics, 2023-11, Vol.16 (11), p.e202300196-e202300196

2023

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LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks

Journal of biophotonics, 2019-07, Vol.12 (7), p.e201800488-n/a

2019

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Deep joint adversarial learning for anomaly detection on attribute networks

Information sciences, 2024-01, Vol.654, p.119840, Article 119840

2024

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Tonguenet: Accurate Localization and Segmentation for Tongue Images Using Deep Neural Networks

Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection

Semi-supervised wildfire smoke detection based on smoke-aware consistency

Deep Residual Haze Network for Image Dehazing and Deraining

Graph-Guided Neural Network for Tourism Demand Forecasting

LEPF-Net: Light Enhancement Pixel Fusion Network for Underwater Image Enhancement

Heterogeneous Hypergraph Variational Autoencoder for Link Prediction

Anomalydae: Dual Autoencoder for Anomaly Detection on Attributed Networks

Self-supervised multi-transformation learning for time series anomaly detection

Exploiting negative correlation for unsupervised anomaly detection in contaminated time series

Deep Dual Support Vector Data description for anomaly detection on attributed networks

DeepCrackAT: An effective crack segmentation framework based on learning multi-scale crack features

Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation

iTimes: Investigating Semisupervised Time Series Classification via Irregular Time Sampling

Self‐supervised domain adaptation for cross‐domain fault diagnosis

Semi-supervised Time Series Classification Model with Self-supervised Learning

FireMatch: A semi-supervised video fire detection network based on consistency and distribution alignment

Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace

TCM herbal prescription recommendation model based on multi-graph convolutional network

Information Transfer in Semi-Supervised Semantic Segmentation

Self-Supervised Multi-Scale Cropping and Simple Masked Attentive Predicting for Lung CT-Scan Anomaly Detection

Rectifying inaccurate unsupervised learning for robust time series anomaly detection

StainGAN: Learning a Structural Preserving Translation for White Blood Cell Images

LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks

Deep joint adversarial learning for anomaly detection on attribute networks

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