sCL-ST: Supervised Contrastive Learning with Semantic Transformations for Multiple Lead ECG Arrhythmia Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3246241
Abstract: The automatic classification of electrocardiogram (ECG) signals has played an important role in cardiovascular diseases diagnosis and prediction. With recent advancements in deep neural networks (DNNs), particularly Convolutional Neural Networks (CNNs), learning deep features automatically… read more here.
Keywords: classification; semantic transformations; scl supervised; contrastive learning ... See more keywords
Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3181008
Abstract: Similarity metric is crucial for massive MIMO positioning utilizing channel state information (CSI). In this letter, we propose a novel massive MIMO CSI similarity learning method via deep convolutional neural network (DCNN) and contrastive learning.… read more here.
Keywords: massive mimo; mimo positioning; csi; representation ... See more keywords
Supervised Contrastive Learning for Vehicle Classification Based on the IR-UWB Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3203468
Abstract: Impulse radio ultrawideband (IR-UWB) radar has high range resolution, strong anti-jamming ability, and low power consumption and has been widely used in target detection and recognition. Currently, existing studies always extract artificial features of echo… read more here.
Keywords: classification; uwb radar; supervised contrastive; contrastive learning ... See more keywords
SCL-Net: An End-to-End Supervised Contrastive Learning Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3223664
Abstract: In recent years, deep learning (DL) presents a promising performance in hyperspectral image (HSI) classification, due to the powerful capability of automatically learning deep semantic characteristics of images. However, it is still difficult to learn… read more here.
Keywords: network; classification; scl net; contrastive learning ... See more keywords
Supervised Contrastive Learning Based on Fusion of Global and Local Features for Remote Sensing Image Retrieval
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3275644
Abstract: With the rapid development of remote sensing sensor technology, the number of remote sensing images (RSIs) has exploded. How to effectively retrieve and manage this massive data have become an urgent problem. At present, content-based… read more here.
Keywords: remote sensing; retrieval; local features; contrastive learning ... See more keywords
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3206696
Abstract: To ensure the reliability and safety of modern industrial process monitoring, computer vision-based soft measurement has received considerable attention due to its nonintrusive property. State-of-the-art computer vision-based approaches mostly rely on feature embedding from deep… read more here.
Keywords: industrial process; contrastive learning; supervised contrastive; process monitoring ... See more keywords
Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3180155
Abstract: Deep learning (DL) methods have been widely used in the field of seizure prediction from electroencephalogram (EEG) in recent years. However, DL methods usually have numerous multiplication operations resulting in high computational complexity. In addtion,… read more here.
Keywords: seizure prediction; adder network; supervised contrastive; contrastive learning ... See more keywords
MRI-Based Classification of Neuropsychiatric Systemic Lupus Erythematosus Patients With Self-Supervised Contrastive Learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.695888
Abstract: Introduction/Purpose Systemic lupus erythematosus (SLE) is a chronic auto-immune disease with a broad spectrum of clinical presentations, including heterogeneous neuropsychiatric (NP) syndromes. Structural brain abnormalities are commonly found in SLE and NPSLE, but their role… read more here.
Keywords: non npsle; systemic lupus; contrastive learning; classification ... See more keywords