12 citations · 36 across the 7 of their papers we have counts for
8 papers
MT-ProtBERT: Multi-task Learning ProtBERT for Intrinsically Disordered Proteins Classification with Scarce Data
Jian Sun, Kingshuk Ghosh, Lilianna Houston +1
Intrinsically disordered proteins (IDPs) differ from folded proteins in that they are dynamic, lack a stable three-dimensional conformation, and have low sequence similarity betwee…
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…
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…
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…
Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss
Ali Pourramezan Fard, Mohammad H. Mahoor, Muath Alsuhaibani +1
This paper presents a deep learning method using Natural Language Processing (NLP) techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive (NC) cond…