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ORCIDFrancesco Smarra
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2020 – today
- 2024
[c19]Alessandro D'Innocenzo, Francesco Smarra:
Learning Piecewise ARX Models via Regression Trees with Probabilistic Guarantees. ECC 2024: 2090-2096- 2023
- [c18]Luis Felipe Florenzan Reyes, Francesco Smarra, Alessandro D'Innocenzo, Marco Levorato:
CADET: Control-Aware Dynamic Edge Computing for Real-Time Target Tracking in UAV Systems. ICASSP 2023: 1-5 - 2022
- [j5]Enrico Reticcioli
, Giovanni Domenico Di Girolamo, Francesco Smarra, Angelo Torzi, Fabio Graziosi, Alessandro D'Innocenzo:
Modeling and Control of Priority Queueing in Software Defined Networks via Machine Learning. IEEE Access 10: 91481-91496 (2022) - [c17]Claudia Rinaldi, Francesco Smarra, Fabio Franchi, Alessandro D'Innocenzo:
An Edge-Based Machine Learning-Enabled Approach in Structural Health Monitoring for Public Protection. FNWF 2022: 125-130 - [c16]Luis Felipe Florenzan Reyes, Francesco Smarra, Alessandro D'Innocenzo:
Reduced SARX modeling and control via Regression Trees. ACC 2022: 2110-2115 - [c15]Enrico Reticcioli, Giovanni Domenico Di Girolamo, Cristhian Di Carlo, Francesco Smarra, Alessandro D'Innocenzo:
Machine Learning-based Approaches Comparison for Netfiix/DAZN Streaming and Real Traffic Prediction. GLOBECOM 2022: 3102-3107 - [c14]Luis Felipe Florenzan Reyes, Francesco Smarra, Roland Ryf, Tetsuya Hayashi, Andrea Marotta, Cristian Antonelli, Alessandro D'Innocenzo:
Data-driven efficient digital signal processing over a field trial space-division multiplexed fiber-optic transmission. ICCCN 2022: 1-8 - 2021
- [c13]Vittorio De Iuliis, Francesco Smarra, Costanzo Manes, Alessandro D'Innocenzo:
On the Stability of Switched ARX Models, with an Application to Learning via Regression Trees. ADHS 2021: 61-66 - [c12]Vittorio De Iuliis, Giovanni Domenico Di Girolamo, Francesco Smarra, Alessandro D'Innocenzo:
A Comparison of Classical Identification and Learning-Based Techniques for Cyber-Physical Systems. MED 2021: 179-185 - [c11]Luis Felipe Florenzan Reyes, Francesco Smarra, Yuriy Zacchia Lun, Alessandro D'Innocenzo:
Learning Markov models of fading channels in wireless control networks: a regression trees based approach. MED 2021: 232-237 - [i3]Luis Felipe Florenzan Reyes, Francesco Smarra, Yuriy Zacchia Lun, Alessandro D'Innocenzo:
Learning Markov models of fading channels in wireless control networks: a regression trees based approach. CoRR abs/2104.13280 (2021) - 2020
- [j4]Francesco Smarra, Giovanni Domenico Di Girolamo, Vincenzo Gattulli, Fabio Graziosi, Alessandro D'Innocenzo:
Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests. J. Optim. Theory Appl. 187(3): 855-874 (2020) - [c10]Jimmy Tjen, Francesco Smarra, Alessandro D'Innocenzo:
An entropy-based sensor selection algorithm for structural damage detection. CASE 2020: 1566-1571 - [c9]Enrico Reticcioli, Giovanni Domenico Di Girolamo, Francesco Smarra, A. Carmenini, Alessandro D'Innocenzo, Fabio Graziosi:
Learning SDN traffic flow accurate models to enable queue bandwidth dynamic optimization. EuCNC 2020: 231-235 - [c8]Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. L4DC 2020: 445-454 - [i2]Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. CoRR abs/2001.07831 (2020)
2010 – 2019
- 2019
- [j3]Yuriy Zacchia Lun, Alessandro D'Innocenzo, Francesco Smarra, Ivano Malavolta, Maria Domenica Di Benedetto:
State of the art of cyber-physical systems security: An automatic control perspective. J. Syst. Softw. 149: 174-216 (2019) - 2018
- [j2]Achin Jain, Francesco Smarra, Madhur Behl, Rahul Mangharam:
Data-Driven Model Predictive Control with Regression Trees - An Application to Building Energy Management. ACM Trans. Cyber Phys. Syst. 2(1): 4:1-4:21 (2018) - [c7]Francesco Smarra, Achin Jain, Rahul Mangharam, Alessandro D'Innocenzo:
Data-driven Switched Affine Modeling for Model Predictive Control. ADHS 2018: 199-204 - 2017
- [c6]Achin Jain, Francesco Smarra, Rahul Mangharam:
Data predictive control using regression trees and ensemble learning. CDC 2017: 4446-4451 - 2016
- [j1]Alessandro D'Innocenzo, Francesco Smarra, Maria Domenica Di Benedetto:
Resilient stabilization of Multi-Hop Control Networks subject to malicious attacks. Autom. 71: 1-9 (2016) - 2015
- [c5]Alessandro D'Innocenzo, Francesco Smarra, Maria Domenica Di Benedetto:
Further results on fault detection and isolation of malicious nodes in Multi-hop Control Networks. ECC 2015: 1860-1865 - [c4]Francesco Smarra, Alessandro D'Innocenzo, Maria Domenica Di Benedetto:
Approximation methods for optimal network coding in a multi-hop control network with packet losses. ECC 2015: 1962-1967 - 2014
- [c3]Maria Domenica Di Benedetto, Alessandro D'Innocenzo, Francesco Smarra:
Fault-tolerant control of a wireless HVAC control system. ISCCSP 2014: 235-238 - 2013
- [c2]Alessandro D'Innocenzo, Maria Domenica Di Benedetto, Francesco Smarra:
Fault detection and isolation of malicious nodes in MIMO Multi-hop Control Networks. CDC 2013: 5276-5281 - 2012
- [c1]Francesco Smarra, Alessandro D'Innocenzo, Maria Domenica Di Benedetto:
Optimal co-design of control, scheduling and routing in multi-hop control networks. CDC 2012: 1960-1965 - [i1]Francesco Smarra, Alessandro D'Innocenzo, Maria Domenica Di Benedetto:
Optimal co-design of control, scheduling and routing in multi-hop control networks. CoRR abs/1208.5604 (2012)
Coauthor Index
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last updated on 2024-10-13 17:58 CEST by the dblp team
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