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2020 – today

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2024
[c38]
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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]
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Valentina Becchetti, Mohab M. H. Atanasious, Danilo Menegatti, Federico Baldisseri, Alessandro Giuseppi:
Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes. MED 2024: 239-244
[c36]
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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
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Danilo Menegatti, Alessandro Giuseppi, Sabato Manfredi, Antonio Pietrabissa:
A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning. IEEE Access 11: 80613-80623 (2023)
[j16]
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Alessandro Giuseppi, Antonio Pietrabissa:
Stability and Wardrop Equilibria of Noncooperative Routing With Time-Varying Load. IEEE Trans. Autom. Control. 68(6): 3814-3821 (2023)
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Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa:
Stability of Non-Cooperative Load Balancing with Time-Varying Latency. CDC 2023: 7445-7450
[c34]
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Federico Baldisseri, Edoardo Montecchiani, Arturo Maiani, Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa, Vincenzo Fogliati, Francesco Delli Priscoli:
Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation. MED 2023: 487-492
[c33]
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Danilo Menegatti, Antonio Pietrabissa, Sabato Manfredi, Alessandro Giuseppi:
Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning. MED 2023: 500-506
[c32]
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Danilo Menegatti, Filippo Betello, Francesco Delli Priscoli, Alessandro Giuseppi:
Deep Image Inpainting to Support Endoscopic Procedures. MED 2023: 507-512
[c31]
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Alessandro Giuseppi, Leonardo Pio Lo Porto, Andrea Wrona, Danilo Menegatti:
Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning. MED 2023: 513-520
[c30]
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Danilo Menegatti, Emanuele Ciccarelli, Michele Viscione, Alessandro Giuseppi:
Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM. MED 2023: 521-528
2022
[j15]
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Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Cecilia Poli, Antonio Pietrabissa:
Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection. IEEE Access 10: 92681-92691 (2022)
[j14]
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Emanuele De Santis, Alessandro Giuseppi, Antonio Pietrabissa, Michael Capponi, Francesco Delli Priscoli:
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection. Int. J. Autom. Comput. 19(2): 127-137 (2022)
[j13]
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Alessandro Giuseppi, Sabato Manfredi, Antonio Pietrabissa:
A Weighted Average Consensus Approach for Decentralized Federated Learning. Int. J. Autom. Comput. 19(4): 319-330 (2022)
[j12]
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Alessandro Giuseppi, Antonio Pietrabissa:
Bellman's principle of optimality and deep reinforcement learning for time-varying tasks. Int. J. Control 95(9): 2448-2459 (2022)
[j11]
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Andrea Tortorelli, Andrea Fiaschetti, Roberto Germanà, Alessandro Giuseppi, Vincenzo Suraci, Andrea Andreani, Francesco Delli Priscoli:
A decision support tool for optimal configuration of critical infrastructures. Int. J. Crit. Infrastructures 18(2): 105-127 (2022)
[c29]
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Antonio Ornatelli, Alessandro Giuseppi, Andrea Tortorelli:
A Distributed Average Cost Reinforcement Learning approach for Power Control in Wireless 5G Networks. AIIoT 2022: 393-399
[c28]
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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, Jean-Baptiste Doré, Alessandro Giuseppi, Jean-Michel Houssin, Junhyeong Kim, Marc Laugeois, Federico Pigni, Xavier Popon, Leszek Raschkowski, Marjorie Thary, Seok Ho Won:
5G-ALLSTAR: Beyond 5G Satellite-Terrestrial Multi-Connectivity. EuCNC 2022: 148-153
[c27]
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Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Antonio Pietrabissa, Cecilia Poli:
Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities. MED 2022: 312-317
[c26]
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Syed Saad Saif, Kerem Aras, Alessandro Giuseppi:
Automated Optical Inspection for Printed Circuit Board Assembly Manufacturing with Transfer Learning and Synthetic Data Generation. MED 2022: 318-323
[c25]
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Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa:
Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions. MED 2022: 564-570
[c24]
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Roberto Germanà, Alessandro Giuseppi, Antonio Pietrabissa, Alessandro Di Giorgio:
Optimal Energy Storage System Placement for Robust Stabilization of Power Systems Against Dynamic Load Altering Attacks. MED 2022: 821-828
2021
[j10]
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Francesco Delli Priscoli, Emanuele De Santis, Alessandro Giuseppi, Antonio Pietrabissa:
Capacity-constrained Wardrop equilibria and application to multi-connectivity in 5G networks. J. Frankl. Inst. 358(17): 9364-9384 (2021)
[j9]
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Alessandro Giuseppi, Antonio Pietrabissa:
Wardrop Equilibrium in Discrete-Time Selfish Routing With Time-Varying Bounded Delays. IEEE Trans. Autom. Control. 66(2): 526-537 (2021)
[c23]
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Alessandro Giuseppi, Lucrezia Della Torre, Danilo Menegatti, Antonio Pietrabissa:
AdaFed: Performance-based Adaptive Federated Learning. ICAAI 2021: 38-43
[c22]
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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]
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Antonio Ornatelli, Andrea Tortorelli, Alessandro Giuseppi, Francesco Delli Priscoli:
Hierarchical RL for Load Balancing and QoS Management in Multi-Access Networks. MED 2021: 886-891
2020
[j8]
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Alessandro Giuseppi, Antonio Pietrabissa:
Chance-Constrained Control With Lexicographic Deep Reinforcement Learning. IEEE Control. Syst. Lett. 4(3): 755-760 (2020)
[j7]
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Andrea Tortorelli, Andrea Fiaschetti, Alessandro Giuseppi, Vincenzo Suraci, Roberto Germanà, Francesco Delli Priscoli:
A security metric for assessing the security level of critical infrastructures. Int. J. Crit. Comput. Based Syst. 10(1): 74-94 (2020)
[j6]
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Francesco Delli Priscoli, Alessandro Giuseppi, Federico Lisi:
Automatic Transportation Mode Recognition on Smartphone Data Based on Deep Neural Networks. Sensors 20(24): 7228 (2020)
[j5]
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Francesco Liberati, Alessandro Di Giorgio, Alessandro Giuseppi, Antonio Pietrabissa, Francesco Delli Priscoli:
Efficient and Risk-Aware Control of Electricity Distribution Grids. IEEE Syst. J. 14(3): 3586-3597 (2020)
[c20]
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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]
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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]
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Taesang Choi, Seok Ho Won, Alessandro Giuseppi, Antonio Pietrabissa, Sungoh Kwon:
Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G. ICOIN 2020: 40-45
[c17]
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Alessandro Giuseppi, Syed Maaz Shahid, Emanuele De Santis, Seok Ho Won, Sungoh Kwon, Taesang Choi:
Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems. ICTC 2020: 594-596
[c16]
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Antonio Ornatelli, Alessandro Giuseppi, Vincenzo Suraci, Andrea Tortorelli:
User-aware centralized resource allocation in heterogeneous networks. MED 2020: 292-298
[c15]
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Alessandro Giuseppi, Antonio Pietrabissa, Francesco Liberati, Alessandro Di Giorgio:
Controlled Optimal Black Start Procedures in Smart Grids for Service Restoration in Presence of Electrical Storage Systems. MED 2020: 746-751
[c14]
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Antonio Ornatelli, Andrea Tortorelli, Alessandro Giuseppi:
Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks. UEMCON 2020: 467-471
[c13]
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Alessandro Giuseppi, Emanuele De Santis, Francesco Delli Priscoli, Seok Ho Won, Taesang Choi, Antonio Pietrabissa:
Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning. WCNC Workshops 2020: 1-5
[c12]
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Junhyeong Kim, Guido Casati, Antonio Pietrabissa, Alessandro Giuseppi, Emilio Calvanese Strinati, Nicolas Cassiau, Gosan Noh, Hee-Sang Chung, Ilgyu Kim, Marjorie Thary, Jean-Michel Houssin, Federico Pigni, Sylvain Colombero, Pierre Dal Zotto, Leszek Raschkowski, Stephan Jaeckel:
5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G and Beyond. WCNC Workshops 2020: 1-6
[i3]
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Andrea Tortorelli, Alessandro Giuseppi, Federico Lisi, Emanuele De Santis, Francesco Liberati:
Operations Management of Satellite Launch Centers. CoRR abs/2001.09472 (2020)
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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)
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Alessandro Giuseppi, Antonio Pietrabissa:
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning. CoRR abs/2010.09468 (2020)

2010 – 2019

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2019
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Antonio Pietrabissa, Lorenzo Ricciardi Celsi, Federico Cimorelli, Vincenzo Suraci, Francesco Delli Priscoli, Alessandro Di Giorgio, Alessandro Giuseppi, Salvatore Monaco:
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)
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Alessandro Giuseppi, Andrea Tortorelli, Roberto Germanà, Francesco Liberati, Andrea Fiaschetti:
Securing Cyber-Physical Systems: An Optimization Framework based on OSSTMM and Genetic Algorithms. MED 2019: 50-56
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Alessandro Di Giorgio, Alessandro Giuseppi, Roberto Germanà, Francesco Liberati:
Decentralised Model Predictive Control of Electric Vehicles Charging. SMC 2019: 3216-3222
[c9]
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Alessandro Giuseppi, Emanuele De Santis, Alessandro Di Giorgio:
Model Predictive Control of Energy Storage Systems for Power Regulation in Electricity Distribution Networks. SMC 2019: 3365-3370
2018
[j3]
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Florian Adamsky, Matthieu Aubigny, Federica Battisti, Marco Carli, Federico Cimorelli, Tiago Cruz, Alessandro Di Giorgio, Chiara Foglietta, A. Galli, Alessandro Giuseppi, Francesco Liberati, Alessandro Neri, Stefano Panzieri, Federica Pascucci, Jorge Proença, P. Pucci, Luís Rosa, Ridha Soua:
Integrated protection of industrial control systems from cyber-attacks: the ATENA approach. Int. J. Crit. Infrastructure Prot. 21: 72-82 (2018)
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Luigi Martirano, Emanuele Habib, Alessandro Giuseppi, Alessandro Di Giorgio:
Nearly Zero Energy Building Model Predictive Control for efficient heating. IAS 2018: 1-6
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Alessandro Giuseppi, Roberto Germanà, Alessandro Di Giorgio:
Risk Adverse Virtual Power Plant Control in Unsecure Power Systems. MED 2018: 210-216
[c6]
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Martina Panfili, Alessandro Giuseppi, Andrea Fiaschetti, Homoud B. Al-Jibreen, Antonio Pietrabissa, Francesco Delli Priscoli:
A Game-Theoretical Approach to Cyber-Security of Critical Infrastructures Based on Multi-Agent Reinforcement Learning. MED 2018: 460-465
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Vincenzo Suraci, Lorenzo Ricciardi Celsi, Alessandro Giuseppi, Gioacchino Manfredi, Alessandro Di Giorgio:
Distributed Wardrop Load Balancing in Multi-MTU SCADA Systems. MED 2018: 466-472
2017
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Antonio Pietrabissa, Francesco Delli Priscoli, Alessandro Di Giorgio, Alessandro Giuseppi, Martina Panfili, Vincenzo Suraci:
An approximate dynamic programming approach to resource management in multi-cloud scenarios. Int. J. Control 90(3): 492-503 (2017)
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Francesco Liberati, Alessandro Giuseppi, Antonio Pietrabissa, Vincenzo Suraci, Alessandro Di Giorgio, Marco Trubian, David Dietrich, Panagiotis Papadimitriou, Francesco Delli Priscoli:
Stochastic and exact methods for service mapping in virtualized network infrastructures. Int. J. Netw. Manag. 27(6) (2017)
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Vincenzo Suraci, Lorenzo Ricciardi Celsi, Alessandro Giuseppi, Alessandro Di Giorgio:
A distributed wardrop control algorithm for load balancing in smart grids. MED 2017: 761-767
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Alessandro Di Giorgio, Alessandro Giuseppi, Francesco Liberati, Antonio Pietrabissa:
Controlled electricity distribution network black start with energy storage system support. MED 2017: 781-786
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Alessandro Di Giorgio, Alessandro Giuseppi, Francesco Liberati, Antonio Ornatelli, Antonio Rabezzano, Lorenzo Ricciardi Celsi:
On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks. MED 2017: 986-992
2016
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Jordi Ferrer Riera, Josep Batalle, José Bonnet, Miguel Dias, Michael J. McGrath, Giuseppe Petralia, Francesco Liberati, Alessandro Giuseppi, Antonio Pietrabissa, Alberto Ceselli, Alessandro Petrini, Marco Trubian, Panagiotis Papadimitriou, David Dietrich, Aurora Ramos, Javier Melian, George Xilouris, Akis Kourtis, Tassos Kourtis, Evangelos K. Markakis:
TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment. NetSoft 2016: 243-250

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