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Exploiting prompt learning with pre-trained language models for
  Alzheimer's Disease detection
v1v2 (latest)

Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
29 October 2022
Yi Wang
Jiajun Deng
Tianzi Wang
Bo Zheng
Shoukang Hu
Xunying Liu
Helen M. Meng
ArXiv (abs)PDFHTMLGithub

Papers citing "Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection"

3 / 3 papers shown
Integrating Pause Information with Word Embeddings in Language Models for Alzheimer's Disease Detection from Spontaneous Speech
Integrating Pause Information with Word Embeddings in Language Models for Alzheimer's Disease Detection from Spontaneous SpeechIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Yu Pu
Wei-Qiang Zhang
222
2
0
12 Jan 2025
Developing an End-to-End Framework for Predicting the Social
  Communication Severity Scores of Children with Autism Spectrum Disorder
Developing an End-to-End Framework for Predicting the Social Communication Severity Scores of Children with Autism Spectrum DisorderInterspeech (Interspeech), 2024
Jihyun Mun
Sunhee Kim
Minhwa Chung
215
3
0
30 Aug 2024
Prompt Engineering for Healthcare: Methodologies and Applications
Prompt Engineering for Healthcare: Methodologies and Applications
Yuan Liu
Enze Shi
Sigang Yu
Zihao Wu
Chong Ma
...
Dajiang Zhu
Yixuan Yuan
Hongtu Zhu
Tianming Liu
Shu Zhang
LM&MA
354
168
0
28 Apr 2023
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