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Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm.

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第一作者： Jaskaran,Singh

第一单位： Department of Computer Science, Graphic Era, Deemed to be University, Dehradun 248002, India.

作者： Jaskaran,Singh ^[1] ; Narpinder,Singh ^[2] ; Mostafa M,Fouda ^[3] ; Luca,Saba ^[4] ; Jasjit S,Suri ^[5]

作者单位： Department of Computer Science, Graphic Era, Deemed to be University, Dehradun 248002, India. ^[1] Department of Food Science and Technology, Graphic Era, Deemed to be University, Dehradun 248002, India. ^[2] Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA. ^[3] Department of Neurology, University of Cagliari, 09124 Cagliari, Italy. ^[4] Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA 94203, USA. ^[5]

关键词 attention-enabled depression diagnosis domain adoption ensemble deep learning

DOI 10.3390/diagnostics13122092

PMID 37370987

发布时间 2023-07-01

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Diagnostics (Basel, Switzerland)

2023年13卷12期

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Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm.

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Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm.

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