Sfoglia per Autore
Special Topics in Information Technology
2025-01-01 Garatti, Simone
Data Privacy in Multi-Agent Optimization Under Uncertainty
2025-01-01 Margellos, Kostas; Falsone, Alessandro; Garatti, Simone; Prandini, Maria
Robust non-convex optimization with structured constraints: complexity bounds and guaranteed reliability level of the scenario solution
2025-01-01 Gallo, Alexander J.; Falsone, Alessandro; Prandini, Maria; Garatti, Simone
Pick-To-Learn for Systems and Control: theoretical review with a showcase in reachability analysis
2025-01-01 Paccagnan, Dario; Marks, Daniel; Campi, Marco C.; Garatti, Simone
Post-Design Verification in the Scenario Approach
2025-01-01 Carè, Algo; Campi, Marco C.; Garatti, Simone
Non-convex scenario optimization
2025-01-01 Garatti, S.; Campi, M. C.
Aging Detection in Cast Resin Transformers by Vibration Data Analysis with Neural Networks
2025-01-01 De Maria, L.; Rucconi, V.; Bartalesi, D.; Sozzi, M.; Garatti, S.; Bittanti, S.
Preface
2025-01-01 Garatti, S.
Average number of mistakes in sequential risk-averse scenario decision-making
2024-01-01 Garatti, S.; Caré, A.; Campi, M. C.
Preferent compression for tight generalization bounds
2024-01-01 Campi, M. C.; Garatti, S.
Complexity is an effective observable to tune early stopping in scenario optimization
2023-01-01 Garatti, S.; Care', A.; Campi, M. C.
Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data
2023-01-01 Rucconi, Valerio; De Maria, Letizia; Bartalesi, Daniele; Valecillos, Bau; Garatti, Simone; Bittanti, Sergio
On the sensitivity of linear resource sharing problems to the arrival of new agents
2023-01-01 Falsone, Alessandro; Margellos, Kostas; Zizzo, Jacopo; Prandini, Maria; Garatti, Simone
No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection
2023-01-01 Rucconi, V.; De Maria, L.; Bartalesi, D.; Valecillos, B.; Garatti, S.; Bittanti, S.
Compression, Generalization and Learning
2023-01-01 Garatti, S.; Campi, M. C.
ON CONDITIONAL RISK ASSESSMENTS IN SCENARIO OPTIMIZATION
2023-01-01 Garatti, S.; Campi, M. C.
Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design
2023-01-01 Garatti, S.; Campi, M. C.
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance
2023-01-01 Paccagnan, D.; Campi, M. C.; Garatti, S.
A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints
2022-01-01 Salizzoni, Giulio; Falsone, Alessandro; Prandini, Maria; Garatti, Simone
Compression at the service of learning: a case study for the Guaranteed Error Machine
2022-01-01 Garatti, S.; Campi, M. C.
Optimal steady-state disturbance compensation for constrained linear systems: the Gaussian noise case
2022-01-01 Falsone, A.; Deori, L.; Ioli, D.; Garatti, S.; Prandini, M.
Risk and complexity in scenario optimization
2022-01-01 Garatti, S.; Campi, M. C.
The scenario approach: A tool at the service of data-driven decision making
2021-01-01 Campi, M. C.; Care, A.; Garatti, S.
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems
2021-01-01 Falsone, Alessandro; Margellos, Kostas; Zizzo, Jacopo; Prandini, Maria; Garatti, Simone
A theory of the risk for optimization with relaxation and its application to support vector machines
2021-01-01 Campi, M. C.; Garatti, S.
On the consistency of the risk evaluation in the scenario approach
2021-01-01 Garatti, S.; Campi, M. C.
Deep learning for fault detection in transformers using vibration data
2021-01-01 Rucconi, V.; de Maria, L.; Garatti, S.; Bartalesi, D.; Valecillos, B.; Bittanti, S.
The risk of making decisions from data through the lens of the scenario approach
2021-01-01 Garatti, S.; Campi, M. C.
Scenario optimization with relaxation: A new tool for design and application to machine learning problems
2020-01-01 Campi, M. C.; Garatti, S.
An incremental scenario approach for building energy management with uncertain occupancy
2020-01-01 Karshenas, A.; Margellos, K.; Garatti, S.
A Machine Learning approach to fault detection in transformers by using vibration data
2020-01-01 Tavakoli, A.; De Maria, L.; Valecillos, B.; Bartalesi, D.; Garatti, S.; Bittanti, S.
A scenario-based approach to multi-agent optimization with distributed information
2020-01-01 Falsone, A.; Margellos, K.; Prandini, M.; Garatti, S.
A study on majority-voting classifiers with guarantees on the probability of error
2020-01-01 Carè, A.; Campi, M. C.; Ramponi, F. A.; Garatti, S.; Cobbenhagen, A. T. J. R.
Distributed optimization for structured programs and its application to energy management in a building district
2020-01-01 Belluschi, F.; Falsone, A.; Ioli, D.; Margellos, K.; Garatti, S.; Prandini, M.
A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints
2020-01-01 Deori, L.; Garatti, S.; Prandini, M.
Scenario Optimization for MPC
2019-01-01 Campi, MARCO CLAUDIO; Garatti, Simone; Prandini, Maria
Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach
2019-01-01 Falsone, A.; Deori, L.; Ioli, D.; Garatti, S.; Prandini, M.
Scenario-based Economic Dispatch with Tunable Risk Levels in High-renewable Power Systems
2019-01-01 Modarresi, Mohammadsadegh; Xie, Le; Campi, Marco; Garatti, Simone; Care, Algo; Thatte, Anupam; Kumar, P. R.
The wait-and-judge scenario approach applied to antenna array design
2019-01-01 Carè, Algo; Garatti, Simone; Campi, Marco C.
4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization
2019-01-01 Deori, Luca; Garatti, Simone; Prandini, Maria
Diagnosis of transformers based on vibration data
2019-01-01 Tavakoli, A.; Maria, L. D.; Bartalesi, D.; Garatti, S.; Bittanti, S.; Valecillos, B.; Piovan, U.
On a class of interval predictor models with universal reliability
2019-01-01 Garatti, S.; Campi, M. C.; Care, A.
Learning for Control: a Bayesian Scenario Approach
2019-01-01 Garatti, S.; Campi, M. C.
Scenario-based Economic Dispatch with Uncertain Demand Response
2019-01-01 Ming, Hao; Xie, Le; Campi, Marco; Garatti, Simone; Kumar, P. R.
Complexity-based modulation of the data-set in scenario optimization
2019-01-01 Garatti, S.; Campi, M. C.
Introduction to the Scenario Approach
2018-01-01 Campi, M. C.; Garatti, S.
Analysis of the Kobe earthquake time series via system identification and fault-detection techniques
2018-01-01 Bittanti, S.; Garatti, S.
Finite time distributed averaging over gossip-constrained ring networks
2018-01-01 Falsone, Alessandro; Margellos, K.; Garatti, Simone; Prandini, Maria
Distributed constrained optimization and consensus in uncertain networks via proximal minimization
2018-01-01 Margellos, KONSTANTINOS NEKTARIOS; Falsone, Alessandro; Garatti, Simone; Prandini, Maria
A general scenario theory for non-convex optimization and decision making
2018-01-01 Campi, M. C.; Garatti, Simone; Ramponi, Federico Alessandro
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