Zobrazeno 1 - 10
of 369
pro vyhledávání: '"Pakhomov, Serguei"'
Automatic speech recognition (ASR) models trained on large amounts of audio data are now widely used to convert speech to written text in a variety of applications from video captioning to automated assistants used in healthcare and other domains. As
Externí odkaz:
http://arxiv.org/abs/2407.13982
As artificial neural networks grow in complexity, understanding their inner workings becomes increasingly challenging, which is particularly important in healthcare applications. The intrinsic evaluation metrics of autoregressive neural language mode
Externí odkaz:
http://arxiv.org/abs/2406.02830
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?
\textbf{Objectives}: We aimed to investigate how errors from automatic speech recognition (ASR) systems affect dementia classification accuracy, specifically in the ``Cookie Theft'' picture description task. We aimed to assess whether imperfect ASR-g
Externí odkaz:
http://arxiv.org/abs/2401.05551
Foundation models are a current focus of attention in both industry and academia. While they have shown their capabilities in a variety of tasks, in-depth research is required to determine their robustness to distribution shift when used as a basis f
Externí odkaz:
http://arxiv.org/abs/2312.05435
Natural Language Processing (NLP) methods have been broadly applied to clinical tasks. Machine learning and deep learning approaches have been used to improve the performance of clinical NLP. However, these approaches require sufficiently large datas
Externí odkaz:
http://arxiv.org/abs/2310.02451
Autor:
Sheng, Zhecheng, Finzel, Raymond, Lucke, Michael, Dufresne, Sheena, Gini, Maria, Pakhomov, Serguei
Publikováno v:
In Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2023, page 68-79
In healthcare, the ability to care for oneself is reflected in the "Activities of Daily Living (ADL)," which serve as a measure of functional ability (functioning). A lack of functioning may lead to poor living conditions requiring personal care and
Externí odkaz:
http://arxiv.org/abs/2307.07544
The evidence is growing that machine and deep learning methods can learn the subtle differences between the language produced by people with various forms of cognitive impairment such as dementia and cognitively healthy individuals. Valuable public d
Externí odkaz:
http://arxiv.org/abs/2302.07322
Linguistic anomalies detectable in spontaneous speech have shown promise for various clinical applications including screening for dementia and other forms of cognitive impairment. The feasibility of deploying automated tools that can classify langua
Externí odkaz:
http://arxiv.org/abs/2211.07430
Deep learning (DL) techniques involving fine-tuning large numbers of model parameters have delivered impressive performance on the task of discriminating between language produced by cognitively healthy individuals, and those with Alzheimer's disease
Externí odkaz:
http://arxiv.org/abs/2203.13397
Autor:
Silverman, Greg M., Finzel, Raymond L., Heinz, Michael V., Vasilakes, Jake, Solinsky, Jacob C., McEwan, Reed, Knoll, Benjamin C., Tignanelli, Christopher J., Liu, Hongfang, Xu, Hua, Jiang, Xiaoqian, Melton, Genevieve B., Pakhomov, Serguei VS
Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multiple corpora and to assess how filtering by aggregation of Unified Medic
Externí odkaz:
http://arxiv.org/abs/2108.02255