6 papers
Language-Based Digital Twins for Elderly Cognitive Assistance
Mohammad Mehdi Hosseini, Mohammad H. Mahoor, Hiroko H. Dodge
Digital twins have emerged as a promising paradigm for personalized healthcare, enabling modeling of individual behavior and health trajectories. In cognitive health, early detecti…
Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition
Jian Sun, Mohammad H. Mahoor
Video quality significantly affects video classification. We found this problem when we classified Mild Cognitive Impairment well from clear videos, but worse from blurred ones. Fr…
Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Models
Mohammad Mehdi Hosseini, Ali Pourramezan Fard, Mohammad H. Mahoor
Automated Facial Expression Recognition (FER), involves two critical aspects: data and model design. Both significantly influence bias and fairness in FER tasks. However, issues re…
Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN
Emily Lin, Jian Sun, Hsingyu Chen +1
Suicide remains a pressing global health concern, necessitating innovative approaches for early detection and intervention. This paper focuses on identifying suicidal intentions in…
AffectNet+: A Database for Enhancing Facial Expression Recognition with Soft-Labels
Ali Pourramezan Fard, Mohammad Mehdi Hosseini, Timothy D. Sweeny +1
Automated Facial Expression Recognition (FER) is challenging due to intra-class variations and inter-class similarities. FER can be especially difficult when facial expressions ref…
A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection
Muath Alsuhaibani, Ali Pourramezan Fard, Jian Sun +3
This review paper explores recent advances in deep learning approaches for non-invasive cognitive impairment detection. We examine various non-invasive indicators of cognitive decl…