Enriching Neural Models with Targeted Features for Dementia Detection-Reference-Cited by-同舟云学术

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Enriching Neural Models with Targeted Features for Dementia Detection

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
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Author:

Di Palo Flavio,Parde Natalie

Publisher

Association for Computational Linguistics

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Diagnosing Dementia Disorder Detection Using an Improved Eliminate Particle Swarm Optimization (IEPSO) Based on Convolutional Neural Networks;SN Computer Science;2024-07-03

2. Pre-training and ensembling based Alzheimer’s disease detection;Technology and Health Care;2024-01-05

3. Revealing the Roles of Part-of-Speech Taggers in Alzheimer Disease Detection: Scientific Discovery Using One-Intervention Causal Explanation;JMIR Formative Research;2023-05-02

4. Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities;BMC Medical Informatics and Decision Making;2023-03-03

5. Computer-Aided Dementia Detection: How Informative Are Your Features?;2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI);2022-08-24

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