Research
Publications
Federated GNNs for EEG-Based Stroke Assessment
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers
Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation
Brain MRI Screening Tool with Federated Learning
Investigation and perspectives of using Graph Neural Networks to model complex systems : the simulation of the helium II bayonet heat exchanger in the LHC
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures from Alarm Data
Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines
A Novel Association Rule Mining Method for the Identification of Rare Functional Dependencies in Complex Technical Infrastructures from Alarm Data
Association Rules Extraction for the Identification of Functional Dependencies in Complex Technical Infrastructures
A Feature Selection-Based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider
Hybrid machine learning method for support brain tumor diagnosis
Data-Driven Extraction of Association Rules of Dependent Abnormal Behaviour Groups
Survey on international standards and best practices for patch management of complex industrial control systems: the critical infrastructure of particle accelerators case study
A smart framework for the availability and reliability assessment and management of accelerators technical facilities
