• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 96 matches

• 2024
• 
  Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, Alessandra Anzolin, Laura Astolfi:
  Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques. IEEE Access 12: 30638-30652 (2024)
• 
  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
• 
  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)
• 
  Alessandro Giuseppi, Antonio Pietrabissa:
  Stability and Wardrop Equilibria of Noncooperative Routing With Time-Varying Load. IEEE Trans. Autom. Control. 68(6): 3814-3821 (2023)
• 
  Gabriele Proietti Mattia, Antonio Pietrabissa, Roberto Beraldi:
  A Load Balancing Algorithm for Equalising Latency Across Fog or Edge Computing Nodes. IEEE Trans. Serv. Comput. 16(5): 3129-3140 (2023)
• 
  Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa:
  Stability of Non-Cooperative Load Balancing with Time-Varying Latency. CDC 2023: 7445-7450
• 
  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
• 
  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
• 
  Andrea Tantucci, Andrea Wrona, Antonio Pietrabissa:
  Precise Orbit Determination on LEO Satellite using Pseudorange and Pseudorange-Rate Measurements. MED 2023: 341-347
• 2022
• 
  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)
• 
  Alessandro Giuseppi, Sabato Manfredi, Antonio Pietrabissa:
  A Weighted Average Consensus Approach for Decentralized Federated Learning. Int. J. Autom. Comput. 19(4): 319-330 (2022)
• 
  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)
• 
  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)
• 
  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
• 
  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
• 
  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
• 
  Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa:
  Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions. MED 2022: 564-570
• 2021
• 
  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)
• 
  Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi:
  Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. PeerJ Comput. Sci. 7: e429 (2021)
• 
  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)
• 
  Alessandro Giuseppi, Lucrezia Della Torre, Danilo Menegatti, Antonio Pietrabissa:
  AdaFed: Performance-based Adaptive Federated Learning. ICAAI 2021: 38-43
• 
  Godwin K. Peprah, Francesco Liberati, Faisal Altaf, Gilbert Osei-Dadzie, Alessandro Di Giorgio, Antonio Pietrabissa:
  Optimal Load Sharing in Reconfigurable Battery Systems using an Improved Model Predictive Control Method. MED 2021: 979-984
• 
  Alessandro Santopaolo, Syed Saad Saif, Antonio Pietrabissa, Alessandro Giuseppi:
  Forest Fire Risk Prediction from Satellite Data with Convolutional Neural Networks. MED 2021: 360-367
• 2020
• 
  Alessandro Giuseppi, Antonio Pietrabissa:
  Chance-Constrained Control With Lexicographic Deep Reinforcement Learning. IEEE Control. Syst. Lett. 4(3): 755-760 (2020)
• 
  Alessandro Di Giorgio, Antonio Pietrabissa, Francesco Delli Priscoli, Alberto Isidori:
  An extended-observer approach to robust stabilisation of linear differential-algebraic systems. Int. J. Control 93(2): 181-193 (2020)
• 
  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)
• 
  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
• 
  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
• 
  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
• 
  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

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