These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 36096868)

  • 1. Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging.
    Waters SH; Clifford GD
    Biomed Eng Online; 2022 Sep; 21(1):66. PubMed ID: 36096868
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Physics-Informed Transfer Learning to Enhance Sleep Staging.
    Waters SH; Clifford GD
    IEEE Trans Biomed Eng; 2024 May; 71(5):1599-1606. PubMed ID: 38133969
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
    Vos G; Trinh K; Sarnyai Z; Rahimi Azghadi M
    J Biomed Inform; 2023 Dec; 148():104556. PubMed ID: 38048895
    [TBL] [Abstract][Full Text] [Related]  

  • 4. From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging.
    Heremans ERM; Phan H; Borzée P; Buyse B; Testelmans D; De Vos M
    J Neural Eng; 2022 Jun; 19(3):. PubMed ID: 35508121
    [No Abstract]   [Full Text] [Related]  

  • 5. Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation.
    Tran HH; Hong JK; Jang H; Jung J; Kim J; Hong J; Lee M; Kim JW; Kushida CA; Lee D; Kim D; Yoon IY
    J Med Internet Res; 2023 Jun; 25():e46216. PubMed ID: 37261889
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Automatic sleep staging algorithm for stochastic depth residual networks based on transfer learning].
    Tian Y; Zhou Q; Li W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Apr; 40(2):286-294. PubMed ID: 37139760
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimizing wearable single-channel EEG sleep staging in a heterogeneous sleep-disordered population using transfer learning.
    van der Aar JF; van Gilst MM; van den Ende DA; Fonseca P; van Wetten BNJ; Janssen HCJP; Peri E; Overeem S
    J Clin Sleep Med; 2024 Sep; ():. PubMed ID: 39347545
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Single-channel EEG sleep staging based on data augmentation and cross-subject discrepancy alleviation.
    He Z; Du L; Wang P; Xia P; Liu Z; Song Y; Chen X; Fang Z
    Comput Biol Med; 2022 Oct; 149():106044. PubMed ID: 36084381
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
    Hassanzadeh H; Nguyen A; Karimi S; Chu K
    J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
    Phan H; Chen OY; Koch P; Lu Z; McLoughlin I; Mertins A; De Vos M
    IEEE Trans Biomed Eng; 2021 Jun; 68(6):1787-1798. PubMed ID: 32866092
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep transfer learning for automated single-lead EEG sleep staging with channel and population mismatches.
    Van Der Aar JF; Van Den Ende DA; Fonseca P; Van Meulen FB; Overeem S; Van Gilst MM; Peri E
    Front Physiol; 2023; 14():1287342. PubMed ID: 38250654
    [No Abstract]   [Full Text] [Related]  

  • 12. Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables.
    Li Q; Li Q; Cakmak AS; Da Poian G; Bliwise DL; Vaccarino V; Shah AJ; Clifford GD
    Physiol Meas; 2021 May; 42(4):. PubMed ID: 33761477
    [No Abstract]   [Full Text] [Related]  

  • 13. Quantifying the impact of data characteristics on the transferability of sleep stage scoring models.
    Supratak A; Haddawy P
    Artif Intell Med; 2023 May; 139():102540. PubMed ID: 37100508
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sleep staging algorithm based on smartwatch sensors for healthy and sleep apnea populations.
    Silva FB; Uribe LFS; Cepeda FX; Alquati VFS; Guimarães JPS; Silva YGA; Santos OLD; de Oliveira AA; de Aguiar GHM; Andersen ML; Tufik S; Lee W; Li LT; Penatti OA
    Sleep Med; 2024 Jul; 119():535-548. PubMed ID: 38810479
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Complex-valued unsupervised convolutional neural networks for sleep stage classification.
    Zhang J; Wu Y
    Comput Methods Programs Biomed; 2018 Oct; 164():181-191. PubMed ID: 30195426
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Expert-level sleep scoring with deep neural networks.
    Biswal S; Sun H; Goparaju B; Westover MB; Sun J; Bianchi MT
    J Am Med Inform Assoc; 2018 Dec; 25(12):1643-1650. PubMed ID: 30445569
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Expert-level automated sleep staging of long-term scalp electroencephalography recordings using deep learning.
    Abou Jaoude M; Sun H; Pellerin KR; Pavlova M; Sarkis RA; Cash SS; Westover MB; Lam AD
    Sleep; 2020 Nov; 43(11):. PubMed ID: 32478820
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization.
    Xu L; Xu M; Ma Z; Wang K; Jung TP; Ming D
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34407522
    [No Abstract]   [Full Text] [Related]  

  • 19. A Semi-Supervised Transfer Learning with Dynamic Associate Domain Adaptation for Human Activity Recognition Using WiFi Signals.
    Chen YS; Chang YC; Li CY
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960569
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data.
    Irshad MT; Li F; Nisar MA; Huang X; Buss M; Kloep L; Peifer C; Kozusznik B; Pollak A; Pyszka A; Flak O; Grzegorzek M
    Comput Biol Med; 2023 Nov; 166():107489. PubMed ID: 37769461
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.