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Alessandro Giuseppi
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2020 – today
- 2024
- [j18]Alessandro Giuseppi
, Danilo Menegatti, Antonio Pietrabissa:
Identifying chaotic dynamics in noisy time series through multimodal deep neural networks. Mach. Learn. Sci. Technol. 5(3): 35059 (2024) - [c38]Danilo Menegatti, Andrea Wrona, Antonio Di Paola, Simone Gentile, Alessandro Giuseppi:
Deep Reinforcement Learning Platooning Control of Non-Cooperative Autonomous Vehicles in a Mixed Traffic Environment. CASE 2024: 108-113 - [c37]Valentina Becchetti, Mohab M. H. Atanasious
Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes. MED 2024: 239-244 - [c36]Alessandro Giuseppi, Antonio Di Paola, Alessandro Santopaolo, Syed Saad Saif, Federico Fiorini, Antonio Pietrabissa:
ARIES: An Intelligent System for Landslide and Wildfire Risk Management. MED 2024: 661-666 - 2023
- [j17]Danilo Menegatti
A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning. IEEE Access 11: 80613-80623 (2023) - [j16]Alessandro Giuseppi
Stability and Wardrop Equilibria of Noncooperative Routing With Time-Varying Load. IEEE Trans. Autom. Control. 68(6): 3814-3821 (2023) - [c35]Alessandro Giuseppi, Danilo Menegatti
Stability of Non-Cooperative Load Balancing with Time-Varying Latency. CDC 2023: 7445-7450 - [c34]Federico Baldisseri
Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation. MED 2023: 487-492 - [c33]Danilo Menegatti
Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning. MED 2023: 500-506 - [c32]Danilo Menegatti
Deep Image Inpainting to Support Endoscopic Procedures. MED 2023: 507-512 - [c31]Alessandro Giuseppi
Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning. MED 2023: 513-520 - [c30]Danilo Menegatti
Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM. MED 2023: 521-528 - 2022
- [j15]Alessandro Giuseppi
Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection. IEEE Access 10: 92681-92691 (2022) - [j14]Emanuele De Santis
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection. Int. J. Autom. Comput. 19(2): 127-137 (2022) - [j13]Alessandro Giuseppi
A Weighted Average Consensus Approach for Decentralized Federated Learning. Int. J. Autom. Comput. 19(4): 319-330 (2022) - [j12]Alessandro Giuseppi
Bellman's principle of optimality and deep reinforcement learning for time-varying tasks. Int. J. Control 95(9): 2448-2459 (2022) - [j11]Andrea Tortorelli, Andrea Fiaschetti, Roberto Germanà, Alessandro Giuseppi
A decision support tool for optimal configuration of critical infrastructures. Int. J. Crit. Infrastructures 18(2): 105-127 (2022) - [c29]Antonio Ornatelli, Alessandro Giuseppi
A Distributed Average Cost Reinforcement Learning approach for Power Control in Wireless 5G Networks. AIIoT 2022: 393-399 - [c28]Nicolas Cassiau, Ilgyu Kim, Emilio Calvanese Strinati, Gosan Noh, Antonio Pietrabissa, Fabrice Arnal, Guido Casati, Taesang Choi, You-Jun Choi, Heesang Chung, Sylvain Colombero, Pierre Dal Zotto, Emanuele De Santis
5G-ALLSTAR: Beyond 5G Satellite-Terrestrial Multi-Connectivity. EuCNC 2022: 148-153 - [c27]Alessandro Giuseppi
Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities. MED 2022: 312-317 - [c26]Syed Saad Saif, Kerem Aras
Automated Optical Inspection for Printed Circuit Board Assembly Manufacturing with Transfer Learning and Synthetic Data Generation. MED 2022: 318-323 - [c25]Danilo Menegatti
Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions. MED 2022: 564-570 - [c24]Roberto Germanà, Alessandro Giuseppi
Optimal Energy Storage System Placement for Robust Stabilization of Power Systems Against Dynamic Load Altering Attacks. MED 2022: 821-828 - 2021
- [j10]Francesco Delli Priscoli, Emanuele De Santis
Capacity-constrained Wardrop equilibria and application to multi-connectivity in 5G networks. J. Frankl. Inst. 358(17): 9364-9384 (2021) - [j9]Alessandro Giuseppi
Wardrop Equilibrium in Discrete-Time Selfish Routing With Time-Varying Bounded Delays. IEEE Trans. Autom. Control. 66(2): 526-537 (2021) - [c23]Alessandro Giuseppi
AdaFed: Performance-based Adaptive Federated Learning. ICAAI 2021: 38-43 - [c22]Alessandro Santopaolo, Syed Saad Saif, Antonio Pietrabissa, Alessandro Giuseppi
Forest Fire Risk Prediction from Satellite Data with Convolutional Neural Networks. MED 2021: 360-367 - [c21]Antonio Ornatelli
Hierarchical RL for Load Balancing and QoS Management in Multi-Access Networks. MED 2021: 886-891 - 2020
- [j8]Alessandro Giuseppi
Chance-Constrained Control With Lexicographic Deep Reinforcement Learning. IEEE Control. Syst. Lett. 4(3): 755-760 (2020) - [j7]Andrea Tortorelli, Andrea Fiaschetti, Alessandro Giuseppi
A security metric for assessing the security level of critical infrastructures. Int. J. Crit. Comput. Based Syst. 10(1): 74-94 (2020) - [j6]Francesco Delli Priscoli, Alessandro Giuseppi
Automatic Transportation Mode Recognition on Smartphone Data Based on Deep Neural Networks. Sensors 20(24): 7228 (2020) - [j5]Francesco Liberati
Efficient and Risk-Aware Control of Electricity Distribution Grids. IEEE Syst. J. 14(3): 3586-3597 (2020) - [c20]Francesco Delli Priscoli, Alessandro Giuseppi, Francesco Liberati, Antonio Pietrabissa:
Traffic Steering and Network Selection in 5G Networks based on Reinforcement Learning. ECC 2020: 595-601 - [c19]Roberto Germanà, Alessandro Giuseppi, Alessandro Di Giorgio
Ensuring the Stability of Power Systems Against Dynamic Load Altering Attacks: A Robust Control Scheme Using Energy Storage Systems. ECC 2020: 1330-1335 - [c18]Taesang Choi, Seok Ho Won, Alessandro Giuseppi
Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G. ICOIN 2020: 40-45 - [c17]Alessandro Giuseppi
Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems. ICTC 2020: 594-596 - [c16]Antonio Ornatelli
User-aware centralized resource allocation in heterogeneous networks. MED 2020: 292-298 - [c15]Alessandro Giuseppi
Controlled Optimal Black Start Procedures in Smart Grids for Service Restoration in Presence of Electrical Storage Systems. MED 2020: 746-751 - [c14]Antonio Ornatelli
Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks. UEMCON 2020: 467-471 - [c13]Alessandro Giuseppi
Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning. WCNC Workshops 2020: 1-5 - [c12]Junhyeong Kim, Guido Casati
5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G and Beyond. WCNC Workshops 2020: 1-6 - [i3]Andrea Tortorelli, Alessandro Giuseppi, Federico Lisi, Emanuele De Santis, Francesco Liberati:
Operations Management of Satellite Launch Centers. CoRR abs/2001.09472 (2020) - [i2]Emilio Calvanese Strinati, Sergio Barbarossa, Taesang Choi, Antonio Pietrabissa, Alessandro Giuseppi, Emanuele De Santis, Josep Vidal, Zdenek Becvar, Thomas Haustein, Nicolas Cassiau, Francesca Costanzo, Junhyeong Kim, Ilgyu Kim:
6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks. CoRR abs/2010.09463 (2020) - [i1]Alessandro Giuseppi, Antonio Pietrabissa:
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning. CoRR abs/2010.09468 (2020)
2010 – 2019
- 2019
- [j4]Antonio Pietrabissa
Lyapunov-Based Design of a Distributed Wardrop Load-Balancing Algorithm With Application to Software-Defined Networking. IEEE Trans. Control. Syst. Technol. 27(5): 1924-1936 (2019) - [c11]Alessandro Giuseppi
Securing Cyber-Physical Systems: An Optimization Framework based on OSSTMM and Genetic Algorithms. MED 2019: 50-56 - [c10]Alessandro Di Giorgio
Decentralised Model Predictive Control of Electric Vehicles Charging. SMC 2019: 3216-3222 - [c9]Alessandro Giuseppi
Model Predictive Control of Energy Storage Systems for Power Regulation in Electricity Distribution Networks. SMC 2019: 3365-3370 - 2018
- [j3]Florian Adamsky, Matthieu Aubigny, Federica Battisti, Marco Carli
Integrated protection of industrial control systems from cyber-attacks: the ATENA approach. Int. J. Crit. Infrastructure Prot. 21: 72-82 (2018) - [c8]Luigi Martirano
Nearly Zero Energy Building Model Predictive Control for efficient heating. IAS 2018: 1-6 - [c7]Alessandro Giuseppi
Risk Adverse Virtual Power Plant Control in Unsecure Power Systems. MED 2018: 210-216 - [c6]Martina Panfili, Alessandro Giuseppi
A Game-Theoretical Approach to Cyber-Security of Critical Infrastructures Based on Multi-Agent Reinforcement Learning. MED 2018: 460-465 - [c5]Vincenzo Suraci
Distributed Wardrop Load Balancing in Multi-MTU SCADA Systems. MED 2018: 466-472 - 2017
- [j2]Antonio Pietrabissa
An approximate dynamic programming approach to resource management in multi-cloud scenarios. Int. J. Control 90(3): 492-503 (2017) - [j1]Francesco Liberati
Stochastic and exact methods for service mapping in virtualized network infrastructures. Int. J. Netw. Manag. 27(6) (2017) - [c4]Vincenzo Suraci, Lorenzo Ricciardi Celsi
A distributed wardrop control algorithm for load balancing in smart grids. MED 2017: 761-767 - [c3]Alessandro Di Giorgio
Controlled electricity distribution network black start with energy storage system support. MED 2017: 781-786 - [c2]Alessandro Di Giorgio
On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks. MED 2017: 986-992 - 2016
- [c1]Jordi Ferrer Riera, Josep Batalle, José Bonnet, Miguel Dias, Michael J. McGrath, Giuseppe Petralia, Francesco Liberati, Alessandro Giuseppi, Antonio Pietrabissa
TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment. NetSoft 2016: 243-250
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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