activity
20172019
most citedModularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling

9 citations · 16 across the 6 of their papers we have counts for

collaborators

9 papers

physics.soc-ph20192 cited

Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters

Radmila Janković, Ivan Mihajlović, Alessia Amelio

Sustainability became the most important component of world development, as countries worldwide fight the battle against the climate change. To understand the effects of climate ch…

cs.SI20199 cited

Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling

Alessia Amelio, Giuseppe Mangioni, Andrea Tagarelli

The generalized version of modularity for multilayer networks, a.k.a. multislice modularity, is characterized by two model parameters, namely resolution factor and inter-layer coup…

cs.LG2018

Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans

Radmila Janković, Alessia Amelio

Global demographic and economic changes have a critical impact on the total energy consumption, which is why demographic and economic parameters have to be taken into account when…

cs.CV2018

CT Image Registration in Acute Stroke Monitoring

Lucio Amelio, Alessia Amelio

We present a new system based on tracking the temporal evolution of stroke lesions using an image registration technique on CT exams of the patient's brain. The system is able to c…

cs.DB2018

Consensus Community Detection in Multilayer Networks using Parameter-free Graph Pruning

Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli

The clustering ensemble paradigm has emerged as an effective tool for community detection in multilayer networks, which allows for producing consensus solutions that are designed t…

cs.CY2017

Self-Organizing Maps Classification with Application to Laptop's Adapters Magnetic Field

Darko Brodić, Alessia Amelio

This paper presents an application of the Self-Organizing-Map classification method, which is used for classification of the extremely low frequency magnetic field emission in the…