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Subject-Aware Contrastive Learning for Biosignals

Subject-Aware Contrastive Learning for Biosignals

30 June 2020
Joseph Y. Cheng
Hanlin Goh
Kaan Dogrusoz
Oncel Tuzel
Erdrin Azemi
    SSL
ArXivPDFHTML

Papers citing "Subject-Aware Contrastive Learning for Biosignals"

21 / 21 papers shown
Title
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
90
0
0
15 Dec 2024
PaPaGei: Open Foundation Models for Optical Physiological Signals
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai
Dimitris Spathis
F. Kawsar
Mohammad Malekzadeh
VLM
39
7
0
27 Oct 2024
EEG-Language Modeling for Pathology Detection
EEG-Language Modeling for Pathology Detection
Sam Gijsen
Kerstin Ritter
47
0
0
02 Sep 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep
  Stage Classification Using Single-Channel EEG
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
37
5
0
10 Apr 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
38
12
0
09 Jan 2024
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
39
5
0
15 Nov 2023
Wearable data from subjects playing Super Mario, sitting university
  exams, or performing physical exercise help detect acute mood episodes via
  self-supervised learning
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
F. Corponi
Bryan M. Li
G. Anmella
Clàudia Valenzuela-Pascual
Ariadna Mas
...
Allan H Young
S. Lawrie
H. Whalley
D. Hidalgo-Mazzei
Antonio Vergari
26
0
0
07 Nov 2023
Personalization of Stress Mobile Sensing using Self-Supervised Learning
Personalization of Stress Mobile Sensing using Self-Supervised Learning
Tanvir Islam
Peter Washington
26
6
0
04 Aug 2023
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh
J. Hashemi
Ali Etemad
27
11
0
13 Apr 2023
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI
Rezwan Firuzi
Hamed Ahmadyani
Mohammad Foad Abdi
Dana Naderi
Jahanfar Hassan
Ayub Bokani
AI4CE
21
1
0
07 Nov 2022
Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
37
272
0
17 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
34
45
0
13 Jun 2022
Analysis of Augmentations for Contrastive ECG Representation Learning
Analysis of Augmentations for Contrastive ECG Representation Learning
S. Soltanieh
Ali Etemad
J. Hashemi
SSL
24
19
0
30 May 2022
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
42
492
0
26 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
24
46
0
09 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
40
9
0
05 Jun 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using
  Physiologically-Inspired Augmentations
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
Bryan Gopal
Ryan Han
Gautham Raghupathi
A. Ng
G. Tison
Pranav Rajpurkar
MedIm
13
57
0
21 Apr 2021
Self-supervised representation learning from 12-lead ECG data
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
21
141
0
23 Mar 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
35
56
0
19 Feb 2021
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and
  Patients
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh
T. Zhu
David A. Clifton
33
186
0
27 May 2020
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