3 citations · 11 across the 12 of their papers we have counts for
12 papers
An Enhanced Source-Free Unsupervised Domain Adaptation Framework for Cross-Dataset EEG Emotion Recognition via Predictive Coding and Test-Time Training
Md Niaz Imtiaz, Naimul Khan
EEG-based emotion recognition is widely used in affective computing but suffers from poor generalization due to domain shifts caused by inter-subject variability, dataset differenc…
Stress Classification from ECG Signals Using Vision Transformer
Zeeshan Ahmad, Naimul Khan
Vision Transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals…
Beyond Identity: A Generalizable Approach for Deepfake Audio Detection
Yasaman Ahmadiadli, Xiao-Ping Zhang, Naimul Khan
Deepfake audio presents a growing threat to digital security, due to its potential for social engineering, fraud, and identity misuse. However, existing detection models suffer fro…
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
Md Niaz Imtiaz, Naimul Khan
Emotion recognition is crucial for advancing mental health, healthcare, and technologies such as brain-computer interfaces. EEG-based models, however, struggle in cross-domain sett…
Navigating the Serious Game Design Landscape: A Comprehensive Reference Document
Julieana Moon, Naimul Khan
Within the evolving field of digital intervention, serious games emerge as promising tools for evidence-based interventions. Research indicates that gamified therapy, whether emplo…
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation
Md Niaz Imtiaz, Naimul Khan
The classification of electrocardiogram (ECG) plays a crucial role in the development of an automatic cardiovascular diagnostic system. However, considerable variances in ECG signa…