PARAGLIOLA, GIOVANNI
PARAGLIOLA, GIOVANNI
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
Glucose data interpretation in pediatric diabetes using an artificial intelligence approach
2025 Paragliola, G.; Campanella, S.; Cherubini, V.; Tiberi, V.; Pierleoni, P.; Belli, A.; Iannilli, A.; Palma, L.
Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression
2025 Rastegarpanah, A.; Mineo, C.; Contreras, C. A.; Shaarawy, A.; Paragliola, G.; Stolkin, R.
LongitProgression: A Python Tool for Studying Factors of Disease Progression through Multivariate Longitudinal Clustering
2025 Ribino, Patrizia; Paragliola, Giovanni; Di Napoli, Claudia; Mannone, Maria
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program
2025 Okoye, Chukwuma; Cuffaro, Luca; Pozzi, Federico Emanuele; Ferrara, Maria Cristina; Noale, Marianna; Calciolari, Stefano; Chicco, Davide; Cincotti, Febo; Daini, Roberta; Finazzi, Alberto; Francioso, Luca; Gasparini, Francesca; Pagan, Eleonora; Ribino, Patrizia; Romeo, Zaira; Sala, Gessica; Solfrizzi, Vincenzo; Zambon, Antonella; Maggi, Stefania; Bellelli, Giuseppe; Ferrarese, Carlo; Null, Null; Airoldi, Cristna; Aloisi, Alessandra; Appollonio, Ildebrando; Bazzini, Chiara; Bochicchio, Mario Alessandro; Bologna, Matteo; Brattico, Elvira; Bruno, Giuseppe; Bulgari, Martina; Canevelli, Marco; Capone, Simonetta; Ceolin, Chiara; Chiaradonna, Ferdinando; Colamarino, Emma; Conti, Elisa; Corsonello, Andrea; Cortelessa, Gabriella; Crudele, Lucilla; Custodero, Carlo; De Luca, Annamaria; Delussi, Marianna; Di Napoli, Claudia; Dibello, Vittorio; Franchi, Matteo; Ganora, Diego; Gesualdo, Loreto; Goldin, Eris; Grossi, Alessandra; Isella, Valeria; Lenti, Roberta; Leone, Alessandro; Locati, Sandro; Logrieco, Antonio; Logroscino, Giancarlo; Macchia, Eleonora; Mantuano, Paola; Massimi, Azzurra; Matteini, Paolo; Messina, Giovanni; Moretti, Luca; Natalello, Antonino; Orlandi, Ivan; Paragliola, Giovanni; Paparella, Giulia; Pegoraro, Sara; Pirrelli, Vito; Quaranta, Nicola Antonio Adolfo; Riccardi, Giovanni; Romano, Daniele; Saibene, Aurora; Sala, Alessandro; Sciurti, Elisa; Serino, Luca; Siciliano, Pietro; Silanos, Francesco; Tamburrano, Alessio; Tosi, Giorgia; Tratsevich, Alina; Tremolizzo, Lucio; Villari, Paolo; Vezzoso, Alberto; Zoia, Chiara Paola
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study
2025 Ribino, Patrizia; Napoli, Claudia Di; Paragliola, Giovanni; Chicco, Davide; Gasparini, Francesca
Stratifying Mild Cognitive Impairment Patients via Embedded Transcriptomic Data and Clustering Analysis
2025 Antonelli, L.; Paragliola, G.; Serino, L.; Di Napoli, C.; Ribino, P.; Granata, I.
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering
2025 Ribino, P.; Mannone, M.; Di Napoli, C.; Paragliola, G.; Chicco, D.; Gasparini, Francesca
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering
2025 Ribino, P.; Mannone, M.; Di Napoli, C.; Paragliola, G.; Chicco, D.; Gasparini, F.
Electric Vehicle Battery Disassembly Using Interfacing Toolbox for Robotic Arms
2024 Rastegarpanah, Alireza; Mineo, Carmelo; Alan Contreras, Cesar; Aflakian, Ali; Paragliola, Giovanni; Stolkin, Rustam
Exploring heterogeneous data distribution issues in e-health federated systems
2024 Paragliola, G.; Ribino, P.
Towards Personalized AI-Based Diabetes Therapy: A Review
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
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
2023 Paragliola, Giovanni; Paragliola, Giovanni
An AI-empowered infrastructure for risk prevention during medical examination
2023 Shah, S. I. H.; Naeem, M.; Paragliola, G.; Coronato, A.; Pechenizkiy, M.
Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers
2023 DI NAPOLI, Claudia; Paragliola, Giovanni; Ribino, Patrizia; Serino, Luca
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes
2023 Shah, S. I. H.; De Pietro, G.; Paragliola, G.; Coronato, A.
Definition of a novel federated learning approach to reduce communication costs
2022 Paragliola, G; Coronato, A
Evaluation of the trade-off between performance and communication costs in federated learning scenario
2022 Paragliola, G.
Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning
2022 Naeem, M.; Coronato, A.; Ullah, Z.; Bashir, S.; Paragliola, G.
A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment
2021 Naeem, Muddasar; Paragliola, Giovanni; Coronato, Antonio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Glucose data interpretation in pediatric diabetes using an artificial intelligence approach | 1-gen-2025 | Paragliola, G.; Campanella, S.; Cherubini, V.; Tiberi, V.; Pierleoni, P.; Belli, A.; Iannilli, A.; Palma, L. | |
| Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression | 1-gen-2025 | Rastegarpanah, A.; Mineo, C.; Contreras, C. A.; Shaarawy, A.; Paragliola, G.; Stolkin, R. | |
| LongitProgression: A Python Tool for Studying Factors of Disease Progression through Multivariate Longitudinal Clustering | 1-gen-2025 | Ribino, Patrizia; Paragliola, Giovanni; Di Napoli, Claudia; Mannone, Maria | |
| Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program | 1-gen-2025 | Okoye, Chukwuma; Cuffaro, Luca; Pozzi, Federico Emanuele; Ferrara, Maria Cristina; Noale, Marianna; Calciolari, Stefano; Chicco, Davide; Cincotti, Febo; Daini, Roberta; Finazzi, Alberto; Francioso, Luca; Gasparini, Francesca; Pagan, Eleonora; Ribino, Patrizia; Romeo, Zaira; Sala, Gessica; Solfrizzi, Vincenzo; Zambon, Antonella; Maggi, Stefania; Bellelli, Giuseppe; Ferrarese, Carlo; Null, Null; Airoldi, Cristna; Aloisi, Alessandra; Appollonio, Ildebrando; Bazzini, Chiara; Bochicchio, Mario Alessandro; Bologna, Matteo; Brattico, Elvira; Bruno, Giuseppe; Bulgari, Martina; Canevelli, Marco; Capone, Simonetta; Ceolin, Chiara; Chiaradonna, Ferdinando; Colamarino, Emma; Conti, Elisa; Corsonello, Andrea; Cortelessa, Gabriella; Crudele, Lucilla; Custodero, Carlo; De Luca, Annamaria; Delussi, Marianna; Di Napoli, Claudia; Dibello, Vittorio; Franchi, Matteo; Ganora, Diego; Gesualdo, Loreto; Goldin, Eris; Grossi, Alessandra; Isella, Valeria; Lenti, Roberta; Leone, Alessandro; Locati, Sandro; Logrieco, Antonio; Logroscino, Giancarlo; Macchia, Eleonora; Mantuano, Paola; Massimi, Azzurra; Matteini, Paolo; Messina, Giovanni; Moretti, Luca; Natalello, Antonino; Orlandi, Ivan; Paragliola, Giovanni; Paparella, Giulia; Pegoraro, Sara; Pirrelli, Vito; Quaranta, Nicola Antonio Adolfo; Riccardi, Giovanni; Romano, Daniele; Saibene, Aurora; Sala, Alessandro; Sciurti, Elisa; Serino, Luca; Siciliano, Pietro; Silanos, Francesco; Tamburrano, Alessio; Tosi, Giorgia; Tratsevich, Alina; Tremolizzo, Lucio; Villari, Paolo; Vezzoso, Alberto; Zoia, Chiara Paola | |
| Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study | 1-gen-2025 | Ribino, Patrizia; Napoli, Claudia Di; Paragliola, Giovanni; Chicco, Davide; Gasparini, Francesca | |
| Stratifying Mild Cognitive Impairment Patients via Embedded Transcriptomic Data and Clustering Analysis | 1-gen-2025 | Antonelli, L.; Paragliola, G.; Serino, L.; Di Napoli, C.; Ribino, P.; Granata, I. | |
| Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering | 1-gen-2025 | Ribino, P.; Mannone, M.; Di Napoli, C.; Paragliola, G.; Chicco, D.; Gasparini, Francesca | |
| Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering | 1-gen-2025 | Ribino, P.; Mannone, M.; Di Napoli, C.; Paragliola, G.; Chicco, D.; Gasparini, F. | |
| 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. | |
| 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. | |
| Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers | 1-gen-2023 | DI NAPOLI, Claudia; Paragliola, Giovanni; Ribino, Patrizia; Serino, Luca | |
| 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. | |
| 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 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 |