Danilo Menegatti

28 papers B 1C 6Journal 5Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Deep Reinforcement Learning Control Framework for Medical Image Augmentation. CASE Andrea Wrona, Federico Baldisseri, Francesco Liberati, Danilo Menegatti, Francesco Delli Priscoli, Marilena Vendittelli
2025	—	`conf`	A Physics-Informed Neural Networks based method for Interconnection and Damping Assignment Passivity-Based Control. CDC Antonio Di Paola, Arturo Maiani, Danilo Menegatti
2025	C	`conf`	A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control. CoDIT Federico Baldisseri, Mohab M. H. Atanasious, Valentina Becchetti, Antonio Di Paola, Giada Lops, Danilo Menegatti, Andrea Wrona, Saverio Mascolo, Francesco Delli Priscoli
2025	C	`conf`	Control of Steering and Brake Actuator Dynamics in Driverless Vehicles: A Real-World Formula SAE Skid-Test Scenario. CoDIT Danilo Menegatti, Francesco Pappalardo, Francesco Luzi, Alessandro Giuseppi
2025	C	`conf`	Data-Driven Image Resolution and Uplink Power Control for Mobile Augmented Reality Applications. CoDIT Andrea Wrona, Danilo Menegatti, Emanuele De Santis, Andrea Tortorelli
2025	C	`conf`	Dynamic Mode Decomposition (DMD) for Enhanced Epileptic Seizure Prediction from EEG Signals. CoDIT Danilo Menegatti, Camilla Bianchi, Filippo Federiconi, Alessandro Giuseppi
2025	J	`jnl`	Enhancing Federated Reinforcement Learning: A Consensus-based Approach for Both Homogeneous and Heterogeneous Agents. Mach. Intell. Res. Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa
2025	C	`conf`	Reinforcement Learning for Enhanced Path Tracking in Autonomous Vehicles: A Formula SAE Skid-Test Validation. CoDIT Danilo Menegatti, Francesco Luzi, Francesco Pappalardo, Antonio Pietrabissa, Alessandro Giuseppi
2025	J	`jnl`	Tractable Data-Driven Model Predictive Control Using One-Step Neural Networks Predictors. IEEE Trans Autom. Sci. Eng. Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa
2024	C	`conf`	AdaLightLog: Enhancing Application Logs Anomaly Detection via Adaptive Federating Learning. CRITIS Danilo Menegatti, Emanuele De Santis, Stefano Felli, Alessandro Giuseppi
2024	—	`—`	Decentralised learning for Intelligent Control Systems. Danilo Menegatti
2024	—	`conf`	Deep Deterministic Policy Gradient Control of Type 1 Diabetes. ECC Federico Baldisseri, Danilo Menegatti, Andrea Wrona
2024	—	`conf`	Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization. MED Mohab M. H. Atanasious, Valentina Becchetti, Federico Baldisseri, Danilo Menegatti, Andrea Wrona
2024	—	`conf`	Deep Reinforcement Learning Platooning Control of Non-Cooperative Autonomous Vehicles in a Mixed Traffic Environment. CASE Danilo Menegatti, Andrea Wrona, Antonio Di Paola, Simone Gentile, Alessandro Giuseppi
2024	—	`conf`	Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes. MED Valentina Becchetti, Mohab M. H. Atanasious, Danilo Menegatti, Federico Baldisseri, Alessandro Giuseppi
2024	B	`conf`	Dynamic Topology Optimization for Efficient and Decentralised Federated Learning. IEEE Big Data Danilo Menegatti, Alessandro Giuseppi, Cecilia Poli, Antonio Pietrabissa
2024	J	`jnl`	Identifying chaotic dynamics in noisy time series through multimodal deep neural networks. Mach. Learn. Sci. Technol. Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa
2023	J	`jnl`	A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning. IEEE Access Danilo Menegatti, Alessandro Giuseppi, Sabato Manfredi, Antonio Pietrabissa
2023	—	`conf`	Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation. MED Federico Baldisseri, Edoardo Montecchiani, Arturo Maiani, Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa, Vincenzo Fogliati, Francesco Delli Priscoli
2023	—	`conf`	Deep Image Inpainting to Support Endoscopic Procedures. MED Danilo Menegatti, Filippo Betello, Francesco Delli Priscoli, Alessandro Giuseppi
2023	—	`conf`	Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning. MED Alessandro Giuseppi, Leonardo Pio Lo Porto, Andrea Wrona, Danilo Menegatti
2023	—	`conf`	Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning. MED Danilo Menegatti, Antonio Pietrabissa, Sabato Manfredi, Alessandro Giuseppi
2023	—	`conf`	Stability of Non-Cooperative Load Balancing with Time-Varying Latency. CDC Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa
2023	—	`conf`	Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM. MED Danilo Menegatti, Emanuele Ciccarelli, Michele Viscione, Alessandro Giuseppi
2022	J	`jnl`	Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection. IEEE Access Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Cecilia Poli, Antonio Pietrabissa
2022	—	`conf`	Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities. MED Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Antonio Pietrabissa, Cecilia Poli
2022	—	`conf`	Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions. MED Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa
2021	—	`conf`	AdaFed: Performance-based Adaptive Federated Learning. ICAAI Alessandro Giuseppi, Lucrezia Della Torre, Danilo Menegatti, Antonio Pietrabissa