ensemble classification

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1
In obstructive sleep apnea patients, automatic determination of respiratory arrests by photoplethysmography signal and heart rate variability.
Bozkurt, Mehmet Recep;Uçar, Muhammed Kürşad;Bozkurt, Ferda;Bilgin, Cahit;
2019 australasian physical & engineering sciences in me... DOI: 10.1007/s13246-019-0... 285 views
2
Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.
Alvarez-Estevez, Diego;Fernández-Varela, Isaac;
2020 Computers in biology and medicine DOI: S0010-4825(20)30085-... 142 views
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AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT.
Bai, Harrison X;Wang, Robin;Xiong, Zeng;Hsieh, Ben;Chang, Ken;Halsey, Kasey;Tran, Thi My Linh;Choi,...
2020 Radiology DOI: 10.1148/radiol.20202... 246 views
4
Retrieving Quantum Information with Active Learning.
Ding, Yongcheng;Martín-Guerrero, José D;Sanz, Mikel;Magdalena-Benedicto, Rafael;Chen, Xi;Solano, Enr...
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Related Journals

Computers in biology and medicine
ISSN: 1879-0534 681 views
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biomedical signal processing heart rate variability obstructive sleep apnea apnea detection automatic respiratory staging photoplethysmography respiratory arrests Deep learning convolutional neural networks database generalization sleep staging