A5040409891- Adversarial Robustness in Machine Learning
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Speech Recognition and Synthesis
- EEG and Brain-Computer Interfaces
- Domain Adaptation and Few-Shot Learning
- Music and Audio Processing
- Speech and Audio Processing
- Age of Information Optimization
- Machine Learning in Healthcare
Simon Fraser University
2024
Indian Institute of Technology Indore
2021-2024
Machine learning (ML) algorithms play a vital role in the brain age estimation frameworks. The impact of regression on prediction accuracy frameworks have not been comprehensively evaluated. Here, we sought to assess efficiency different estimation. To this end, built framework based large set cognitively healthy (CH) individuals ( N = 788) as training followed by (22 total). We then quantified each regression-algorithm independent test sets composed 88 CH individuals, 70 mild cognitive...
Electroencephalography (EEG) is a non-invasive tool widely used in basic and clinical neuroscience to explore neural states various populations, classifying these EEG recordings fundamental challenge. While machine learning shows promising results long multivariate time series, optimal prediction models feature extraction methods for classification remain elusive. Our study addressed the problem of under framework brain age prediction, applying deep model on series. We hypothesized that...