For several cancer patients, operative resection with curative intent ca...
Variational Graph Autoencoders (VGAEs) are powerful models for unsupervi...
In order for artificial agents to perform useful tasks in changing
envir...
A graph generative model defines a distribution over graphs. One type of...
Knowledge Graph has been proven effective in modeling structured informa...
Detecting and quantifying products of cellular metabolism using Mass
Spe...
Federated machine learning systems have been widely used to facilitate t...
Federated Learning is a new distributed learning mechanism which allows ...
Question Answering (QA) systems are used to provide proper responses to
...
Transfer learning through fine-tuning a pre-trained neural network with ...
Inference for GP models with non-Gaussian noises is computationally expe...
By elaborating on the notion of linear belief functions (Dempster 1990; ...