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07/13/2023
Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks
Predicting the behavior of real-time traffic (e.g., VoIP) in mobility sc...
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03/14/2022
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances
Affective computing plays a key role in human-computer interactions, ent...
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04/11/2021
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
Machine Learning (ML) techniques are becoming an invaluable support for ...
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02/28/2021
Criminal Networks Analysis in Missing Data scenarios through Graph Distances
Data collected in criminal investigations may suffer from: (i) incomplet...
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09/28/2020
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach
The Next Generation 5G Networks can greatly benefit from the synergy bet...
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09/26/2020
An experimental evaluation and characterization of VoIP over an LTE-A network
Mobile telecommunications are converging towards all-IP solutions. This ...
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09/18/2020
Experimental Review of Neural-based approaches for Network Intrusion Management
The use of Machine Learning (ML) techniques in Intrusion Detection Syste...
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06/24/2020
Network connectivity under a probabilistic node failure model
Centrality metrics have been widely applied to identify the nodes in a g...
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03/10/2020
Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia
Compared to other types of social networks, criminal networks present ha...
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07/07/2019
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging
Underwater images play a key role in ocean exploration, but often suffer...
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06/19/2019
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map
Underwater images often have severe quality degradation and distortion d...
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07/18/2017
On-line Building Energy Optimization using Deep Reinforcement Learning
Unprecedented high volumes of data are becoming available with the growt...
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07/15/2017
Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective
Through the success of deep learning, Artificial Neural Networks (ANNs) ...
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10/18/2016
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data
Conceived in the early 1990s, Experience Replay (ER) has been shown to b...
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04/20/2016
A topological insight into restricted Boltzmann machines
Restricted Boltzmann Machines (RBMs) and models derived from them have b...
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04/20/2016
Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines
Estimation, recognition, and near-future prediction of 3D trajectories b...
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03/28/2013
