We propose a feature ranking method called dual dropout ranking (DDR) to identify the most discriminative linguistic features for Alzheimer's disease (AD) ...
Abstract—We propose a feature ranking method called dual dropout ranking (DDR) to identify the most discriminative linguistic features for Alzheimer's ...
Abstract—We propose a feature ranking method called dual dropout ranking (DDR) to identify the most discriminative linguistic features for Alzheimer's disease ...
Dive into the research topics of 'Dual Dropout Ranking of Linguistic Features for Alzheimer's Disease Recognition'. Together they form a unique fingerprint.
This paper analyzes diverse features extracted from spoken language to select the most discriminative ones for dementia detection.
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... Dual Dropout Ranking of Linguistic Features for Alzheimer's Disease Recognition and Automatic Selection of Spoken Language Biomarkers for Dementia Detection.
Oct 14, 2023 · This paper analyzes diverse features extracted from spoken language to select the most discriminative ones for dementia detection.
May 17, 2023 · Finally, the SVM classifier obtained the best AUC of 0.861 by combining linguistic features, automated speech, and cognitive test scores.
Missing: Ranking | Show results with:Ranking
Dec 14, 2021 · TH2.OD-A.9: Dual Dropout Ranking of Linguistic Features for Alzheimer's Disease Recognition. Xiaoquan Ke, Man-Wai Mak, The Hong Kong ...
Li, and H. M. Meng, “Dual dropout rank- ing of linguistic features for Alzheimer's disease recognition,” in. Proc. Asia-Pacific Signal Inf. Process. Assoc ...