output
20022025
most citedLearning Convolutional Neural Networks for Graphs

808 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

6 papers · 1 filter

cs.LG2020★ 13 cited

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications

Shujian Yu, Ammar Shaker, Francesco Alesiani +1

We propose a simple yet powerful test statistic to quantify the discrepancy between two conditional distributions. The new statistic avoids the explicit estimation of the underlyin…

cs.NI2020★ 62 cited

NSBchain: A Secure Blockchain Framework for Network Slicing Brokerage

Lanfranco Zanzi, Antonio Albanese, Vincenzo Sciancalepore +1

With the advent of revolutionary technologies, such as virtualization and softwarization, a novel concept for 5G networks and beyond has been unveiled: Network Slicing. Initially d…

cs.NI2020★ 148 cited

SARDO: An Automated Search-and-Rescue Drone-based Solution for Victims Localization

Antonio Albanese, Vincenzo Sciancalepore, Xavier Costa-Pérez

Natural disasters affect millions of people every year. Finding missing persons in the shortest possible time is of crucial importance to reduce the death toll. This task is especi…

cs.CY2020★ 147 cited

Smart City IoT Services Creation through Large Scale Collaboration

Flavio Cirillo, David Gómez, Luis Diez +3

Smart cities solutions are often monolithically implemented, from sensors data handling through to the provided services. The same challenges are regularly faced by different devel…

cs.NI2020★ 18 cited

On the Optimization of Multi-Cloud Virtualized Radio Access Networks

Fahri Wisnu Murti, Andres Garcia-Saavedra, Xavier Costa-Perez +1

We study the important and challenging problem of virtualized radio access network (vRAN) design in its most general form. We develop an optimization framework that decides the num…

cs.LG2020

HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection

Mischa Schmidt, Julia Gastinger, Sébastien Nicolas +1

Automated algorithm selection and hyperparameter tuning facilitates the application of machine learning. Traditional multi-armed bandit strategies look to the history of observed r…