Early detection of Mild Cognitive Impairment (MCI) leads to early
interv...
Deep machine learning models including Convolutional Neural Networks (CN...
Outdoor positioning systems based on the Global Navigation Satellite Sys...
Children with Autism Spectrum Disorder (ASD) experience deficits in verb...
This paper presents our recent research on integrating artificial emotio...
This paper introduces RyanSpeech, a new speech corpus for research on
au...
Large-scale transformer-based language models (LMs) demonstrate impressi...
This paper introduces BReG-NeXt, a residual-based network architecture u...
Understanding emotions and responding accordingly is one of the biggest
...
Social robots are becoming an integrated part of our daily life due to t...
Residual-based neural networks have shown remarkable results in various
...
This paper presents the results of our recent work on studying the effec...
This paper presents the design, development, methodology, and the result...
Automated affective computing in the wild setting is a challenging probl...
Automated affective computing in the wild is a challenging task in the f...
Deep Neural Networks (DNNs) have shown to outperform traditional methods...
Automated Facial Expression Recognition (FER) has been a challenging tas...
Classification of human behavior is key to developing closed-loop Deep B...
Deep Brain Stimulation (DBS) has gained increasing attention as an effec...
Recognizing facial expression in a wild setting has remained a challengi...
Automated Facial Expression Recognition (FER) has remained a challenging...