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Found 7 papers, 0 papers with code
Deep Learning Architecture for Motor Imaged Words
The notion of a Brain-Computer Interface system is the acquisition of signals from the brain, processing them, and translating them into commands.
Semi-supervised Contrastive Regression for Estimation of Eye Gaze
Our contrastive regression framework shows good performance in comparison to several state of the art contrastive learning techniques used for gaze estimation.
LocalEyenet: Deep Attention framework for Localization of Eyes
The model architecture, build on stacked hourglass backbone, learns the self-attention in feature maps which aids in preserving global as well as local spatial dependencies in face image.
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI
In the case of mental task classification, the availability of training samples to features are minimal.
Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India
Recently the new machine learning approaches are being used to understand the dynamic trend of COVID-19 spread.
Survival prediction of head and neck squamous cell carcinoma using machine learning models
In this study, genomic data (whole exome sequencing) are integrated with clinical data to improve the performance of prediction model.
Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention
To model the effect of the interventions, we have introduced \r{ho} as the intervention parameter.
