Research

    • Brain MRI Screening Tool with Federated Learning
      Roman Stoklasa, Ioannis Stathopoulos, Efstratios Karavasilis, Efstathios Efstathopoulos, Marek Dostá, Miloš Keřkovský, Michal Kozubek, Luigi Serio
      Submitted to the ISBI 2024 Symposium – Athens, Greece
    • Investigation and perspectives of using Graph Neural Networks to model complex systems: the simulation of the helium II bayonet heat exchanger in the LHC
      R. Stoklasa, N. Calabrese, L. Serio
      Proceedings CEC 2023 – Hawaii USA – July 2023
    • A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
      L. Barbieri, S. Kianoush, M. Nicoli, S. Savazzi, L. Serio
      arXiv:2310.08087 - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), October 2023
    • Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
      B. Camajori Tedeschini, S. Savazzi, L. Barbieri, R. Stoklasa, M. Nicoli, L. Serio
      IEEE Access, January 2022,       10.1109/ACCESS.2022.3141913
    • A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures from Alarm Data
      F. Antonello, P.Baraldi, L. Serio, E. Zio
      IEEE SYSTEMS JOURNAL, 10.1109/JSYST.2022.3146014
    • Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines
      P.Baraldi, A.Castellano, A.Shokry, L. Serio, E. Zio
      Energies 2021, 14(18), 6000 - doi.org/10.3390/en14186000
    • A Novel Association Rule Mining Method for the Identification of Rare Functional Dependencies in Complex Technical Infrastructures from Alarm Data
      F. Antonello, P.Baraldi, A.Shokry, E. Zio, U.Gentile, L. Serio
      Expert Systems, January 2021 – DOI: 10.1016/j.eswa.2021.114560
    • Association Rules Extraction for the Identification of Functional Dependencies in Complex Technical Infrastructures
      F. Antonello, P.Baraldi, A.Shokry, E. Zio, U.Gentile, L. Serio
      Reliability Engineering & System Safety journal, Elsevier, November 2020 – DOI: 10.1016/j.ress.2020.107305
    • 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
      Reliability Engineering & System Safety journal, Elsevier, May 2020
    • Hybrid machine learning method for support brain tumor diagnosis
      I. Stathopoulos, L. Serio, U. Gentile, E. Karavasilis, V. G. Syrgiamiotis, G. Velonakis, E. Efstathopoulos
      ECR2020 – European Society of Radiology - DOI: 10.26044/ecr2020/C-07053
    • Data-Driven Extraction of Association Rules of Dependent Abnormal Behaviour Groups
      P.Baraldi, A.Shokry, U.Gentile, L.Serio, E.Zio
      European Safety and Reliability Association, 2019 - DOI: 10.3850/978-981-11-2724-3_0723-cd
    • Survey on international standards and best practices for patch management of complex industrial control systems: the critical infrastructure of particle accelerators case study
      U. Gentile and L. Serio
      International Journal of Critical Computer-Based Systems - January 2019
    • A smart framework for the availability and reliability assessment and management of accelerators technical facilities
      L. Serio et al.
      Journal of Physics Conference Series, 2018
    • A Machine-Learning Based Methodology for Performance Analysis in Particles Accelerator Facilities
      U. Gentile and L. Serio
      2017 European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2017, pp. 90-95 - doi: 10.1109/EECS.2017.26