122 related articles for article (PubMed ID: 35675746)
21. Interobserver agreement among sleep scorers from different centers in a large dataset.
Norman RG; Pal I; Stewart C; Walsleben JA; Rapoport DM
Sleep; 2000 Nov; 23(7):901-8. PubMed ID: 11083599
[TBL] [Abstract][Full Text] [Related]
22. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
Stepnowsky C; Levendowski D; Popovic D; Ayappa I; Rapoport DM
Sleep Med; 2013 Nov; 14(11):1199-207. PubMed ID: 24047533
[TBL] [Abstract][Full Text] [Related]
23. Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines.
Lajnef T; Chaibi S; Ruby P; Aguera PE; Eichenlaub JB; Samet M; Kachouri A; Jerbi K
J Neurosci Methods; 2015 Jul; 250():94-105. PubMed ID: 25629798
[TBL] [Abstract][Full Text] [Related]
24. Development of a fuzzy-stochastic nonlinear model to incorporate aleatoric and epistemic uncertainty.
Li H; Zhang K
J Contam Hydrol; 2010 Jan; 111(1-4):1-12. PubMed ID: 19945767
[TBL] [Abstract][Full Text] [Related]
25. Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces.
Busk J; Schmidt MN; Winther O; Vegge T; Jørgensen PB
Phys Chem Chem Phys; 2023 Sep; 25(37):25828-25837. PubMed ID: 37724552
[TBL] [Abstract][Full Text] [Related]
26. Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks.
Zhang L; Fabbri D; Upender R; Kent D
Sleep; 2019 Oct; 42(11):. PubMed ID: 31289828
[TBL] [Abstract][Full Text] [Related]
27. Staging Sleep in Polysomnograms: Analysis of Inter-Scorer Variability.
Younes M; Raneri J; Hanly P
J Clin Sleep Med; 2016 Jun; 12(6):885-94. PubMed ID: 27070243
[TBL] [Abstract][Full Text] [Related]
28. A New Fully Automated Random-Forest Algorithm for Sleep Staging.
Klok AB; Edin J; Cesari M; Olesen AN; Jennum P; Sorensen HBD
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4920-4923. PubMed ID: 30441446
[TBL] [Abstract][Full Text] [Related]
29. A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring.
Davies HJ; Nakamura T; Mandic DP
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3641-3644. PubMed ID: 31946665
[TBL] [Abstract][Full Text] [Related]
30. Computer-Assisted Automated Scoring of Polysomnograms Using the Somnolyzer System.
Punjabi NM; Shifa N; Dorffner G; Patil S; Pien G; Aurora RN
Sleep; 2015 Oct; 38(10):1555-66. PubMed ID: 25902809
[TBL] [Abstract][Full Text] [Related]
31. Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®).
Toften S; Pallesen S; Hrozanova M; Moen F; Grønli J
Sleep Med; 2020 Nov; 75():54-61. PubMed ID: 32853919
[TBL] [Abstract][Full Text] [Related]
32. Explainable uncertainty quantifications for deep learning-based molecular property prediction.
Yang CI; Li YP
J Cheminform; 2023 Feb; 15(1):13. PubMed ID: 36737786
[TBL] [Abstract][Full Text] [Related]
33. Scalable automatic sleep staging in the era of Big Data.
Nakamura T; Davies HJ; Mandic DP
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2265-2268. PubMed ID: 31946351
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Automated sleep staging in rat with a standard spreadsheet.
Costa-Miserachs D; Portell-Cortés I; Torras-Garcia M; Morgado-Bernal I
J Neurosci Methods; 2003 Nov; 130(1):93-101. PubMed ID: 14583408
[TBL] [Abstract][Full Text] [Related]
36. Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population.
Fonseca P; van Gilst MM; Radha M; Ross M; Moreau A; Cerny A; Anderer P; Long X; van Dijk JP; Overeem S
Sleep; 2020 Sep; 43(9):. PubMed ID: 32249911
[TBL] [Abstract][Full Text] [Related]
37. Inter-rater reliability of sleep cyclic alternating pattern (CAP) scoring and validation of a new computer-assisted CAP scoring method.
Ferri R; Bruni O; Miano S; Smerieri A; Spruyt K; Terzano MG
Clin Neurophysiol; 2005 Mar; 116(3):696-707. PubMed ID: 15721084
[TBL] [Abstract][Full Text] [Related]
38. Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.
Shi J; Liu X; Li Y; Zhang Q; Li Y; Ying S
J Neurosci Methods; 2015 Oct; 254():94-101. PubMed ID: 26192325
[TBL] [Abstract][Full Text] [Related]
39. An open-source, high-performance tool for automated sleep staging.
Vallat R; Walker MP
Elife; 2021 Oct; 10():. PubMed ID: 34648426
[TBL] [Abstract][Full Text] [Related]
40. Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine.
Kang DY; DeYoung PN; Tantiongloc J; Coleman TP; Owens RL
NPJ Digit Med; 2021 Sep; 4(1):142. PubMed ID: 34593972
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
