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Danilo Menegatti
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2020 – today
- 2025
- [j4]Danilo Menegatti
, Alessandro Giuseppi
, Antonio Pietrabissa
:
Tractable Data-Driven Model Predictive Control Using One-Step Neural Networks Predictors. IEEE Trans Autom. Sci. Eng. 22: 6740-6751 (2025) - 2024
- [b1]Danilo Menegatti:
Decentralised learning for Intelligent Control Systems. Sapienza University of Rome, Italy, 2024 - [j3]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) - [c15]Danilo Menegatti, Alessandro Giuseppi, Cecilia Poli, Antonio Pietrabissa:
Dynamic Topology Optimization for Efficient and Decentralised Federated Learning. IEEE Big Data 2024: 7939-7945 - [c14]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 - [c13]Danilo Menegatti
, Emanuele De Santis
, Stefano Felli
, Alessandro Giuseppi
:
AdaLightLog: Enhancing Application Logs Anomaly Detection via Adaptive Federating Learning. CRITIS 2024: 289-305 - [c12]Federico Baldisseri
, Danilo Menegatti, Andrea Wrona:
Deep Deterministic Policy Gradient Control of Type 1 Diabetes. ECC 2024: 868-873 - [c11]Mohab M. H. Atanasious
, Valentina Becchetti, Federico Baldisseri
, Danilo Menegatti, Andrea Wrona:
Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization. MED 2024: 221-226 - [c10]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 - 2023
- [j2]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) - [c9]Alessandro Giuseppi, Danilo Menegatti
, Antonio Pietrabissa:
Stability of Non-Cooperative Load Balancing with Time-Varying Latency. CDC 2023: 7445-7450 - [c8]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 - [c7]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 - [c6]Danilo Menegatti
, Filippo Betello
, Francesco Delli Priscoli, Alessandro Giuseppi
:
Deep Image Inpainting to Support Endoscopic Procedures. MED 2023: 507-512 - [c5]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 - [c4]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
- [j1]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) - [c3]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 - [c2]Danilo Menegatti
, Alessandro Giuseppi
, Antonio Pietrabissa:
Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions. MED 2022: 564-570 - 2021
- [c1]Alessandro Giuseppi
, Lucrezia Della Torre, Danilo Menegatti
, Antonio Pietrabissa:
AdaFed: Performance-based Adaptive Federated Learning. ICAAI 2021: 38-43
Coauthor Index
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last updated on 2025-04-09 21:27 CEST by the dblp team
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