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pro vyhledávání: '"Naeini, Saeid"'
The quest for human imitative AI has been an enduring topic in AI research since its inception. The technical evolution and emerging capabilities of the latest cohort of large language models (LLMs) have reinvigorated the subject beyond academia to t
Externí odkaz:
http://arxiv.org/abs/2306.11167
The analysis of speech measures in individuals with amyotrophic lateral sclerosis (ALS) can provide essential information for early diagnosis and tracking disease progression. However, current methods for extracting speech and pause features are manu
Externí odkaz:
http://arxiv.org/abs/2208.10597
Autor:
Naeini, Saeid Alavi, Simmatis, Leif, Jafari, Deniz, Guarin, Diego L., Yunusova, Yana, Taati, Babak
Computer vision techniques can help automate or partially automate clinical examination of orofacial impairments to provide accurate and objective assessments. Towards the development of such automated systems, we evaluated two approaches to detect a
Externí odkaz:
http://arxiv.org/abs/2208.10591
Autor:
Almog, Gal1,2,3 (AUTHOR), Alavi Naeini, Saeid1,2 (AUTHOR), Hu, Yu1 (AUTHOR), Duerden, Emma G.1,4 (AUTHOR), Mohsenzadeh, Yalda1,2,5 (AUTHOR) ymohsenz@uwo.ca
Publikováno v:
PLoS ONE. 12/20/2023, Vol. 18 Issue 12, p1-16. 16p.
Akademický článek
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Autor:
Simmatis, Leif, Alavi Naeini, Saeid, Jafari, Deniz, Xie, Michael, Tanchip, Chelsea, Taati, Niyousha, McKinlay, Scotia, Sran, Rupinder, Truong, Justin, Guarin, Diego L, Taati, Babak, Yunusova, Yana
Publikováno v:
Digital Biomarkers; 2023, Vol. 7 Issue 1, p7-17, 11p