Sfoglia per Autore
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection
2022 De Santis, Emanuele; Giuseppi, Alessandro; Pietrabissa, Antonio; Capponi, Michael; Delli Priscoli, Francesco
ADVANCED MULTI-RAT INTEGRATED MULTI-SENSORS SOLUTION FOR EMERGENCY PREVENTION, DETECTION AND RESPONSE OPERATIONS
2022 Tomasicchio, G.; Fiorini, F.; De Matteis, A.; Brancati, M.; Ceccarelli, A.; Cialone, C.; Pietrabissa, A.; Giuseppi, A.; De Santis, E.; Priscoli, F. D.; Losquadro, G.; Saggese, M.
Artificial Intelligence in Classical and Quantum Photonics
2022 Vernuccio, Federico; Bresci, Arianna; Cimini, Valeria; Giuseppi, Alessandro; Cerullo, Giulio; Polli, Dario; Valensise, Carlo Michele
Bellman's principle of optimality and deep reinforcement learning for time-varying tasks
2022 Giuseppi, A.; Pietrabissa, A.
5G-ALLSTAR: Beyond 5G Satellite-Terrestrial Multi-Connectivity
2022 Cassiau, N.; Kim, I.; Strinati, E. C.; Noh, G.; Pietrabissa, A.; Arnal, F.; Casati, G.; Choi, T.; Choi, Y. -J.; Chung, H.; Colombero, S.; Zotto, P. D.; De Santis, E.; Dore, J. -B.; Giuseppi, A.; Houssin, J. -M.; Kim, J.; Laugeois, M.; Pigni, F.; Popon, X.; Raschkowski, L.; Thary, M.; Won, S. H.
Hierarchical Federated Learning for Edge Intelligence through Average Consensus
2023 Menegatti, Danilo; Manfredi, Sabato; Pietrabissa, Antonio; Poli, Cecilia; Giuseppi, Alessandro
AUTOMATION INTELLIGENCE AND CONTROL SRL
2023 Pietrabissa, Antonio; Delli Priscoli, Francesco; Giuseppi, Alessandro
Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension
2023 Baldisseri, Federico; Wrona, Andrea; Menegatti, Danilo; Pietrabissa, Antonio; Battilotti, Stefano; Califano, Claudia; Cristofaro, Andrea; Di Giamberardino, Paolo; Facchinei, Francisco; Palagi, Laura; Giuseppi, Alessandro; Delli Priscoli, Francesco
Stability and Wardrop Equilibria of Non-Cooperative Routing With Time-Varying Load
2023 Giuseppi, A.; Pietrabissa, A.
Stability of Non-Cooperative Load Balancing with Time-Varying Latency
2023 Giuseppi, A.; Menegatti, D.; Pietrabissa, A.
Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning
2023 Giuseppi, A; Lo Porto, Lp; Wrona, A; Menegatti, D
Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning
2023 Menegatti, D.; Pietrabissa, A.; Manfredi, S.; Giuseppi, A.
Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM
2023 Menegatti, D.; Ciccarelli, E.; Viscione, M.; Giuseppi, A.
Deep Image Inpainting to Support Endoscopic Procedures
2023 Menegatti, D; Betello, F; Delli Priscoli, F; Giuseppi, A
Distributed MARL with Limited Sensing for Robot Navigation Problems
2023 Menegatti, Danilo; Giuseppi, Alessandro; Pietrabissa, Antonio
A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning
2023 Menegatti, D.; Giuseppi, A.; Manfredi, S.; Pietrabissa, A.
Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation
2023 Baldisseri, F.; Montecchiani, E.; Maiani, A.; Menegatti, D.; Giuseppi, A.; Pietrabissa, A.; Fogliati, V.; Priscoli, F. D.
CADUCEO: A Platform to Support Federated Healthcare Facilities through Artificial Intelligence
2023 Menegatti, D.; Giuseppi, A.; Delli Priscoli, F.; Pietrabissa, A.; Di Giorgio, A.; Baldisseri, F.; Mattioni, M.; Monaco, S.; Lanari, L.; Panfili, M.; Suraci, V.
Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control
2024 Zivelonghi, A.; Giuseppi, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection | 2022 | De Santis, Emanuele; Giuseppi, Alessandro; Pietrabissa, Antonio; Capponi, Michael; Delli Priscoli, Francesco | |
| ADVANCED MULTI-RAT INTEGRATED MULTI-SENSORS SOLUTION FOR EMERGENCY PREVENTION, DETECTION AND RESPONSE OPERATIONS | 2022 | Tomasicchio, G.; Fiorini, F.; De Matteis, A.; Brancati, M.; Ceccarelli, A.; Cialone, C.; Pietrabissa, A.; Giuseppi, A.; De Santis, E.; Priscoli, F. D.; Losquadro, G.; Saggese, M. | |
| Artificial Intelligence in Classical and Quantum Photonics | 2022 | Vernuccio, Federico; Bresci, Arianna; Cimini, Valeria; Giuseppi, Alessandro; Cerullo, Giulio; Polli, Dario; Valensise, Carlo Michele | |
| Bellman's principle of optimality and deep reinforcement learning for time-varying tasks | 2022 | Giuseppi, A.; Pietrabissa, A. | |
| 5G-ALLSTAR: Beyond 5G Satellite-Terrestrial Multi-Connectivity | 2022 | Cassiau, N.; Kim, I.; Strinati, E. C.; Noh, G.; Pietrabissa, A.; Arnal, F.; Casati, G.; Choi, T.; Choi, Y. -J.; Chung, H.; Colombero, S.; Zotto, P. D.; De Santis, E.; Dore, J. -B.; Giuseppi, A.; Houssin, J. -M.; Kim, J.; Laugeois, M.; Pigni, F.; Popon, X.; Raschkowski, L.; Thary, M.; Won, S. H. | |
| Hierarchical Federated Learning for Edge Intelligence through Average Consensus | 2023 | Menegatti, Danilo; Manfredi, Sabato; Pietrabissa, Antonio; Poli, Cecilia; Giuseppi, Alessandro | |
| AUTOMATION INTELLIGENCE AND CONTROL SRL | 2023 | Pietrabissa, Antonio; Delli Priscoli, Francesco; Giuseppi, Alessandro | |
| Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension | 2023 | Baldisseri, Federico; Wrona, Andrea; Menegatti, Danilo; Pietrabissa, Antonio; Battilotti, Stefano; Califano, Claudia; Cristofaro, Andrea; Di Giamberardino, Paolo; Facchinei, Francisco; Palagi, Laura; Giuseppi, Alessandro; Delli Priscoli, Francesco | |
| Stability and Wardrop Equilibria of Non-Cooperative Routing With Time-Varying Load | 2023 | Giuseppi, A.; Pietrabissa, A. | |
| Stability of Non-Cooperative Load Balancing with Time-Varying Latency | 2023 | Giuseppi, A.; Menegatti, D.; Pietrabissa, A. | |
| Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning | 2023 | Giuseppi, A; Lo Porto, Lp; Wrona, A; Menegatti, D | |
| Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning | 2023 | Menegatti, D.; Pietrabissa, A.; Manfredi, S.; Giuseppi, A. | |
| Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM | 2023 | Menegatti, D.; Ciccarelli, E.; Viscione, M.; Giuseppi, A. | |
| Deep Image Inpainting to Support Endoscopic Procedures | 2023 | Menegatti, D; Betello, F; Delli Priscoli, F; Giuseppi, A | |
| Distributed MARL with Limited Sensing for Robot Navigation Problems | 2023 | Menegatti, Danilo; Giuseppi, Alessandro; Pietrabissa, Antonio | |
| A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning | 2023 | Menegatti, D.; Giuseppi, A.; Manfredi, S.; Pietrabissa, A. | |
| Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation | 2023 | Baldisseri, F.; Montecchiani, E.; Maiani, A.; Menegatti, D.; Giuseppi, A.; Pietrabissa, A.; Fogliati, V.; Priscoli, F. D. | |
| CADUCEO: A Platform to Support Federated Healthcare Facilities through Artificial Intelligence | 2023 | Menegatti, D.; Giuseppi, A.; Delli Priscoli, F.; Pietrabissa, A.; Di Giorgio, A.; Baldisseri, F.; Mattioni, M.; Monaco, S.; Lanari, L.; Panfili, M.; Suraci, V. | |
| Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control | 2024 | Zivelonghi, A.; Giuseppi, A. |
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