Publications
Federated GNNs for EEG-Based Stroke Assessment
II edition of the UniReps workshop in 2024
Andrea Protani, Lorenzo Giusti, Albert Sund Aillet, Simona Sacco, Paolo Manganotti, Lucio Marinelli, Diogo Reis Santos, Pierpaolo Brutti, Pietro Caliandro, Luigi Serio
Brain MRI Screening Tool with Federated Learning
ISBI 2024 conference
Roman Stoklasa, Ioannis Stathopoulos, Efstratios Karavasilis, Efstathios Efstathopoulos, Marek Dostá, Miloš Keřkovský, Michal Kozubek, Luigi Serio
Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals
Andrea Protani, Lorenzo Giusti, Chiara Iacovelli, Albert Sund Aillet, Diogo Reis Santos, Giuseppe Reale, Aurelia Zauli, Marco Moci, Marta Garbuglia, Pierpaolo Brutti, Pietro Caliandro, Luigi Serio
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers
Diogo Reis Santos, Albert Sund Aillet, Antonio Boiano, Usevalad Milasheuski, Lorenzo Giusti, Marco Di Gennaro, Sanaz Kianoush, Luca Barbieri, Monica Nicoli, Michele Carminati, Alessandro E. C. Redondi, Stefano Savazzi, Luigi Serio
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
IEEE Access, January 2022
B. Camajori Tedeschini, S. Savazzi, L. Barbieri, R. Stoklasa, M. Nicoli, L. Serio
Data-Driven Extraction of Association Rules of Dependent Abnormal Behaviour Groups
29th European Safety and Reliability Conference (ESREL 2019).
P.Baraldi, A.Shokry, U.Gentile, L.Serio, E.Zio
A Novel Association Rule Mining Method for the Identification of Rare Functional Dependencies in Complex Technical Infrastructures from Alarm Data
Energy Reports (Elsevier), 2021
F. Antonello, P.Baraldi, A.Shokry, E. Zio, U.Gentile, L. Serio
Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines
Published in Energies, Volume 14, Issue 18, 2021
P.Baraldi, A.Castellano, A.Shokry, L. Serio, E. Zio
Association Rules Extraction for the Identification of Functional Dependencies in Complex Technical Infrastructures
Reliability Engineering and System Safety, Volume 209 (2021)
F. Antonello, P.Baraldi, A.Shokry, E. Zio, U.Gentile, L. Serio
Hybrid machine learning method for support brain tumor diagnosis
European Congress of Radiology (ECR 2020)
I. Stathopoulos, L. Serio, U. Gentile, E. Karavasilis, V. G. Syrgiamiotis, G. Velonakis, E. Efstathopoulos
A Feature Selection-Based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider
Reliability Engineering and System Safety, 2020 (Volume 201)
P.Baraldi, A.Castellano, A.Shokry, U.Gentile, L. Serio, E. Zio
Investigation and perspectives of using Graph Neural Networks to model complex systems : the simulation of the helium II bayonet heat exchanger in the LHC
CERN – Technology Department, July 2023
R. Stoklasa, N. Calabrese, L. Serio
A smart framework for the availability and reliability assessment and management of accelerators technical facilities
9th International Particle Accelerator Conference (IPAC 2018)
L. Serio et al.
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation
Diogo Reis Santos, Andrea Protani, Lorenzo Giusti, Albert Sund Aillet, Pierpaolo Brutti, Luigi Serio
A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures from Alarm Data
IEEE Systems Journal
F. Antonello, P.Baraldi, L. Serio, E. Zio
Survey on international standards and best practices for patch management of complex industrial control systems: the critical infrastructure of particle accelerators case study
International Journal of Critical Computer‑Based Systems, Vol. 9, Issue 1‑2, 2019
U. Gentile and L. Serio
A Machine-Learning Based Methodology for Performance Analysis in Particles Accelerator Facilities
2017 European Conference on Electrical Engineering and Computer Science (EECS)
U. Gentile and L. Serio
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), October 2023
L. Barbieri, S. Kianoush, M. Nicoli, S. Savazzi, L. Serio
(draft)
Hybrid machine learning method for support brain tumor diagnosis
I. Stathopoulos, L. Serio, U. Gentile, E. Karavasilis, V. G. Syrgiamiotis, G. Velonakis, E. Efstathopoulos
A Feature Selection-Based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider
P.Baraldi, A.Castellano, A.Shokry, U.Gentile, L. Serio, E. Zio
A Feature Selection-Based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider
P.Baraldi, A.Castellano, A.Shokry, U.Gentile, L. Serio, E. Zio
A Feature Selection-Based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider
P.Baraldi, A.Castellano, A.Shokry, U.Gentile, L. Serio, E. Zio