3 papers
eess.AS2021
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution
James King, Ramon Viñas Torné, Alexander Campbell +1
There have been several successful deep learning models that perform audio super-resolution. Many of these approaches involve using preprocessed feature extraction which requires a…
eess.SP2021
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
Lorena Qendro, Alexander Campbell, Pietro Liò +1
Electroencephalography (EEG) is crucial for the monitoring and diagnosis of brain disorders. However, EEG signals suffer from perturbations caused by non-cerebral artifacts limitin…
cs.LG2020
Towards a predictive spatio-temporal representation of brain data
Tiago Azevedo, Luca Passamonti, Pietro Liò +1
The characterisation of the brain as a "connectome", in which the connections are represented by correlational values across timeseries and as summary measures derived from graph t…