InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography

被引:0
|
作者
Borum Nam
Beomjun Bark
Jeyeon Lee
In Young Kim
机构
[1] Hanyang University,Department of Electronic Engineering
[2] Hanyang University,Department of Biomedical Engineering
关键词
Sleep staging; Artificial intelligence; Uncertainty; Interpretability; Photoplethysmography;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography
    Nam, Borum
    Bark, Beomjun
    Lee, Jeyeon
    Kim, In Young
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 24 (01)
  • [2] Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring
    Fisher, Thomas
    Gibson, Harry
    Liu, Yunzhe
    Abdar, Moloud
    Posa, Marius
    Salimi-Khorshidi, Gholamreza
    Hassaine, Abdelaali
    Cai, Yutong
    Rahimi, Kazem
    Mamouei, Mohammad
    [J]. REMOTE SENSING, 2022, 14 (13)
  • [3] Uncertainty-aware credit card fraud detection using deep learning
    Habibpour, Maryam
    Gharoun, Hassan
    Mehdipour, Mohammadreza
    Tajally, Amirreza
    Asgharnezhad, Hamzeh
    Shamsi, Afshar
    Khosravi, Abbas
    Nahavandi, Saeid
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 123
  • [4] Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network
    Penny-Dimri, Jahan C.
    Bergmeir, Christoph
    Reid, Christopher M.
    Williams-Spence, Jenni
    Cochrane, Andrew D.
    Smith, Julian A.
    [J]. PLOS ONE, 2023, 18 (08):
  • [5] Uncertainty-Aware Deep Learning Based Deformable Registration
    Grigorescu, Irina
    Uus, Alena
    Christiaens, Daan
    Cordero-Grande, Lucilio
    Hutter, Jana
    Batalle, Dafnis
    Edwards, A. David
    Hajnal, Joseph V.
    Modat, Marc
    Deprez, Maria
    [J]. UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING, AND PERINATAL IMAGING, PLACENTAL AND PRETERM IMAGE ANALYSIS, 2021, 12959 : 54 - 63
  • [6] Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
    Einbinder, Bat-Sheva
    Romano, Yaniv
    Sesia, Matteo
    Zhou, Yanfei
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,
  • [7] Uncertainty-Aware Data Aggregation for Deep Imitation Learning
    Cui, Yuchen
    Isele, David
    Niekum, Scott
    Fujimura, Kikuo
    [J]. 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 761 - 767
  • [8] Uncertainty-aware autonomous sensing with deep reinforcement learning
    Murad, Abdulmajid
    Kraemer, Frank Alexander
    Bach, Kerstin
    Taylor, Gavin
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 156 : 242 - 253
  • [9] Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation
    Li, Chenxin
    Ma, Wenao
    Sun, Liyan
    Ding, Xinghao
    Huang, Yue
    Wang, Guisheng
    Yu, Yizhou
    [J]. NEURAL COMPUTING & APPLICATIONS, 2022, 34 (04): : 3151 - 3164
  • [10] Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation
    Chenxin Li
    Wenao Ma
    Liyan Sun
    Xinghao Ding
    Yue Huang
    Guisheng Wang
    Yizhou Yu
    [J]. Neural Computing and Applications, 2022, 34 : 3151 - 3164