Motif Discovery in Speech: Application to Monitoring Alzheimer’s Disease

Author:

Garrard Peter1,Nemes Vanda2,Nikolic Dragana3,Barney Anna3

Affiliation:

1. Molecular and Clinical Sciences Research Institute, St George’s, University of London, London SW17 0RE, United Kingdom

2. Institute of Physiology, University of Pécs Medical School, Pécs 7624, Hungary

3. Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, United Kingdom

Publisher

Bentham Science Publishers Ltd.

Subject

Neurology (clinical),Neurology

Cited by 7 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. Exploring multiprocessor approaches to time series analysis;Journal of Parallel and Distributed Computing;2024-06

2. Ethical considerations in the early detection of Alzheimer's disease using speech and AI;2023 ACM Conference on Fairness, Accountability, and Transparency;2023-06-12

3. Time series analysis acceleration with advanced vectorization extensions;The Journal of Supercomputing;2023-02-02

4. TraTSA: A Transprecision Framework for Efficient Time Series Analysis;Journal of Computational Science;2022-09

5. Exploiting Vector Extensions to Accelerate Time Series Analysis;2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP);2022-03

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