Results 121 to 130 of about 14,201 (266)

scSCC: A swapped contrastive learning‐based clustering method for single‐cell gene expression data

Quantitative Biology
Cell clustering plays a pivotal role in deciphering the intricacies of cell types, facilitating subsequent cell annotation endeavors within scRNA‐seq data analysis.
Xiang Wang, Sansheng Yang, Hongwei Li
doaj   +1 more source

Distortion-Disentangled Contrastive Learning

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Oral in ...
Jinfeng Wang 0008, Sifan Song, Jionglong Su, S. Kevin Zhou   +3 more
openaire   +2 more sources

Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park, Emily J. Koubek, Richard Beare, Lynn Ang, Brian C. Callaghan, Rodica Pop‐Busui, Eva L. Feldman, Evan L. Reynolds   +7 more
wiley   +1 more source

Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework

Complex & Intelligent Systems
Graph neural networks integrating contrastive learning have attracted growing attention in urban traffic flow forecasting. However, most existing graph contrastive learning methods do not perform well in capturing local–global spatial dependencies or ...
Lin Pan, Qianqian Ren, Zilong Li, Xingfeng Lv   +3 more
doaj   +1 more source

Statistical Contrastive Learning for Spatio-Temporal Anomaly Detection

Data Science in Science
Anomaly detection is an interdisciplinary research area which attracts substantial attention both in statistics and in machine learning due to its critical role in a wide range of diverse applications, from cybersecurity to health monitoring.
Zhiwei Zhen, Yuzhou Chen, Yulia R. Gel
doaj   +1 more source

A Mathematical Perspective On Contrastive Learning

CoRR
44 pages, 15 ...
Ricardo Baptista, Andrew M. Stuart, Son Tran   +2 more
openaire   +2 more sources

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Self-Supervised ECG Anomaly Detection Based on Time-Frequency Specific Waveform Mask Feature Fusion

IEEE Access
The imbalance of ECG signal data and the complexity of labeling pose significant challenges for deep learning-based anomaly detection. Traditional contrastive learning approaches for ECG anomaly detection often rely on reconstruction or generation ...
Chongrui Tian, Fengbin Zhang
doaj   +1 more source

Non-negative Contrastive Learning

CoRR
22 pages.
Yifei Wang 0001, Qi Zhang 0067, Yaoyu Guo, Yisen Wang 0001   +3 more
openaire   +3 more sources

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source