Algo Carè
Cited by
Cited by
Scenario min-max optimization and the risk of empirical costs
A Carè, S Garatti, MC Campi
SIAM Journal on Optimization 25 (4), 2061-2080, 2015
FAST—fast algorithm for the scenario technique
A Carč, S Garatti, MC Campi
Operations Research 62 (3), 662-671, 2014
Finite-sample system identification: An overview and a new correlation method
A Care, BC Csáji, MC Campi, E Weyer
IEEE Control Systems Letters 2 (1), 61-66, 2017
Random Convex Programs with -Regularization: Sparsity and Generalization
MC Campi, A Caré
SIAM Journal on Control and Optimization 51 (5), 3532-3557, 2013
Classification of solar wind with machine learning
E Camporeale, A Carč, JE Borovsky
Journal of Geophysical Research: Space Physics 122 (11), 10,910-10,920, 2017
Scenario-based economic dispatch with tunable risk levels in high-renewable power systems
MS Modarresi, L Xie, MC Campi, S Garatti, A Care, AA Thatte, PR Kumar
IEEE Transactions on Power Systems 34 (6), 5103-5114, 2018
Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design
S Formentin, MC Campi, A Carč, SM Savaresi
Systems & Control Letters 127, 25-34, 2019
A new classification algorithm with guaranteed sensitivity and specificity for medical applications
A Care, FA Ramponi, MC Campi
IEEE Control Systems Letters 2 (3), 393-398, 2018
A scenario-based stochastic MPC approach for problems with normal and rare operations with an application to rivers
HA Nasir, A Carč, E Weyer
IEEE Transactions on Control Systems Technology 27 (4), 1397-1410, 2018
Efficient river management using stochastic MPC and ensemble forecast of uncertain in-flows
HA Nasir, T Zhao, A Care, QJ Wang, E Weyer
IFAC-PapersOnLine 51 (5), 37-42, 2018
On a class of interval predictor models with universal reliability
S Garatti, MC Campi, A Care
Automatica 110, 108542, 2019
A coverage theory for least squares
A Care, S Garatti, MC Campi
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
Sign-perturbed sums (SPS) with instrumental variables for the identification of ARX systems
V Volpe, BC Csáji, A Care, E Weyer, MC Campi
2015 54th IEEE Conference on Decision and Control (CDC), 2115-2120, 2015
A randomised approach to flood control using Value-at-Risk
HA Nasir, A Carč, E Weyer
2015 54th IEEE Conference on Decision and Control (CDC), 3939-3944, 2015
A toolbox for virtual reference feedback tuning (VRFT)
A Carč, F Torricelli, MC Campi, SM Savaresi
2019 18th European Control Conference (ECC), 4252-4257, 2019
Ventricular defibrillation: Classification with GEM and a roadmap for future investigations
F Baronio, M Baronio, MC Campi, A Carč, S Garatti, G Perone
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2718-2723, 2017
Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques
A Care, BC Csáji, MC Campi
2016 IEEE 55th Conference on Decision and Control (CDC), 262-267, 2016
The wait-and-judge scenario approach applied to antenna array design
A Carč, S Garatti, MC Campi
Computational Management Science 16 (3), 481-499, 2019
Kernel-based SPS
G Pillonetto, A Carč, MC Campi
IFAC-PapersOnLine 51 (15), 31-36, 2018
Randomized min-max optimization: The exact risk of multiple cost levels
A Care, S Garatti, MC Campi
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
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