23 citations · 26 across the 4 of their papers we have counts for
4 papers
Synergizing Zero-Shot Cross-Lingual Alzheimer Detection with Language-Invariant Multimodal Bi-Geometric Adversarial Learning
Girish, Mohd Mujtaba Akhtar, Farhan Sheth +4
In this work, we study zero-shot cross-lingual speech-based Alzheimer's disease detection (SADD). We hypothesize that learning language-invariant multimodal representations by fusi…
Predicting feature imputability in the absence of ground truth
Niamh McCombe, Xuemei Ding, Girijesh Prasad +4
Data imputation is the most popular method of dealing with missing values, but in most real life applications, large missing data can occur and it is difficult or impossible to eva…
Opportunities for multiscale computational modelling of serotonergic drug effects in Alzheimer's disease
Alok Joshi, Da-Hui Wang, Steven Watterson +4
Alzheimer's disease (AD) is an age-specific neurodegenerative disease that compromises cognitive functioning and impacts the quality of life of an individual. Pathologically, AD is…
Computational neurology: Computational modeling approaches in dementia
KongFatt Wong-Lin, Jose M. Sanchez-Bornot, Niamh McCombe +14
Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common typ…