Cellular traffic prediction is a crucial activity for optimizing network...
We consider distributed image transmission over a noisy multiple access
...
As wireless standards evolve, more complex functionalities are introduce...
We consider distributed inference at the wireless edge, where multiple
c...
PySAD is an open-source python framework for anomaly detection on stream...
We investigate cross-lingual sentiment analysis, which has attracted
sig...
Recurrent Neural Networks (RNNs) are widely used for online regression d...
We investigate unsupervised anomaly detection for high-dimensional data ...
We investigate online nonlinear regression with continually running recu...