Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets-Reference-Cited by-同舟云学术

Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Pérez-Toro P. A.¹,Rodríguez-Salas D.¹,Arias-Vergara T.¹,Bayerl S. P.²,Klumpp P.¹,Riedhammer K.²,Schuster M.³,Nöth E.¹,Maier A.¹,Orozco-Arroyave J. R.¹

Affiliation:

1. Friedrich-Alexander Universität, Erlangen-Nürnberg,Pattern Recognition Lab,Erlangen,Germany

2. Technische Hochschule Georg Simon Ohm,Nürnberg,Germany

3. Ludwig-Maximilians University,Department of Otorhinolaryngology, Head and Neck Surgery,Munich,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095219.pdf?arnumber=10095219

Reference28 articles.

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2. The Natural History of Alzheimer's Disease

3. Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer’s Dementia

4. To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection

5. Alzheimer's disease and automatic speech analysis: A review

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