We consider the problem of outlier detection in the context of functional data analysis (FDA). Observations in FDA context are...

In the past decade, Deep Neural Networks (DNNs) have achieved unprecedented improvement in the inference accuracy for several hard-to-tackle applications...

As the Wi-Fi technology transitions into mmWave bands, there is a growing consensus on the need to support new functions...

Commercialization and system architecture of fifth-generation (5G) networks has entered a stable phase and the evolution of 5G networks into...

Enabling open circulation of training labeled data in industrial environments may improve many machine learning based processes that are currently...

I will present an overview of the results of analyzing mobile phone data to create population mobility models in Cuba....

Data is becoming an indispensable production factor for the modern economy, matching or exceeding in importance traditional factors such as...

We present a Federated Learning (FL) based solution for building a distributed classifier capable of detecting URLs containing sensitive content,...

A new model of global virtual Mobile Network Operator (MNO) –the Mobile Network Aggregator (MNA) – has recently been gaining...

The advent of spectrum crowdsensing systems is challenging the way the spectrum is monitored, thanks to the large deployment of...