Projects

Investigation of Graph Signal Processing (GSP) applied to analysing brain fMRI data. In collaboration with Ines Vati, we leveraged GSP along with other time series analysis tools to predict how much subjects liked pictures shown to them during fMRI recordings. For a 3-class classification task, our best approach achieved a 40% accuracy, which is barely above random chance. This approach involed adapting Dynamic Time Warping metric to a series of features obtained through the graph Fourier transform. This project highlighted the critical need to collaborate with experts to successfully conduct such subtle analysis.

In progress.

In progress.