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PARAGLIOLA, GIOVANNI

PARAGLIOLA, GIOVANNI  

Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli  

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Titolo Data di pubblicazione Autore(i) File
A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions 1-gen-2024 Paragliola, G.; Ribino, P.; Mannone, M.
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 1-gen-2024 Ribino, Patrizia; Paragliola, Giovanni; Napoli, Claudia Di; Mannone, Maria; Chicco, Davide; Gasparini, Francesca
Electric Vehicle Battery Disassembly Using Interfacing Toolbox for Robotic Arms 1-gen-2024 Rastegarpanah, Alireza; Mineo, Carmelo; Alan Contreras, Cesar; Aflakian, Ali; Paragliola, Giovanni; Stolkin, Rustam
Exploring heterogeneous data distribution issues in e-health federated systems 1-gen-2024 Paragliola, G.; Ribino, P.
Hyper-Parameter Optimization through Reinforcement Learning for Survival Prediction of Patients with Heart Failure 1-gen-2024 Ribino, P.; Di Napoli, C.; Paragliola, G.; Serino, L.
Towards Personalized AI-Based Diabetes Therapy: A Review 1-gen-2024 Campanella, S.; Paragliola, G.; Cherubini, V.; Pierleoni, P.; Palma, L.
A Federated Learning Approach to Support the Decision-Making Process for ICU Patients in a European Telemedicine Network 1-gen-2023 Paragliola, Giovanni; Ribino, Patrizia; Ullah, Zaib
A federated learning-based approach to recognize subjects at a high risk of hypertension in a non-stationary scenario 1-gen-2023 Paragliola, Giovanni; Paragliola, Giovanni
An AI-empowered infrastructure for risk prevention during medical examination 1-gen-2023 Shah, S. I. H.; Naeem, M.; Paragliola, G.; Coronato, A.; Pechenizkiy, M.
Balancing Uneven Knowledge of Hospital Nodes for ICU Patients Diagnosis through Federated Learning 1-gen-2023 DI NAPOLI, Claudia; Paragliola, Giovanni; Ribino, Patrizia; Serino, Luca
Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers 1-gen-2023 DI NAPOLI, Claudia; Paragliola, Giovanni; Ribino, Patrizia; Serino, Luca
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 1-gen-2023 Ribino, P.; Di Napoli, C.; Paragliola, G.; Serino, L.; Gasparini, F.; Chicco, D.
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes 1-gen-2023 Shah, S. I. H.; De Pietro, G.; Paragliola, G.; Coronato, A.
Application of Federated Learning Approaches for Time-Series Classification in eHealth Domain 1-gen-2022 Paragliola, G.
Definition of a novel federated learning approach to reduce communication costs 1-gen-2022 Paragliola, G; Coronato, A
Evaluation of the trade-off between performance and communication costs in federated learning scenario 1-gen-2022 Paragliola, G.
Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning 1-gen-2022 Naeem, M.; Coronato, A.; Ullah, Z.; Bashir, S.; Paragliola, G.
A FHIR based architecture of a multiprotocol IoT Home Gateway supporting dynamic plug of new devices within instrumented environments 1-gen-2021 Zampognaro, P.; Paragliola, G.; Falanga, V.
A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment 1-gen-2021 Naeem, Muddasar; Paragliola, Giovanni; Coronato, Antonio
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients 1-gen-2021 Paragliola, Giovanni; Coronato, Antonio