Publications

see also the IRIS institutional website for pre-prints

Books

[1]            M.C. Campi, S. Garatti
                "Introduction to the Scenario Approach"
                MOS-SIAM series on Optimization, SIAM, 2018.

Papers in International Journals

[43]          S. Garatti, M.C. Campi
"Non-convex scenario optimization"
Mathematical Programming, 209:557-608, 2025.

[42]          M.C. Campi, S. Garatti
"Compression, Generalization and Learning"
Journal of Machine Learning Research, 24(339):1-74, 2023.

[41]          S. Garatti, M.C. Campi
"On conditional risk assessment in scenario optimization"
SIAM Journal on Optimization, 33(2):455-480, 2023.

[40]          S. Garatti, M.C. Campi, A. Carč
"Complexity is an effective observable to tune early stopping in scenario optimization" (full paper)
IEEE Transactions on Automatic Control, 68(2):928-942, 2023.

[39]          A. Falsone, K. Margellos, J. Zizzo, M. Prandini, S. Garatti
"On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents" (full paper)
IEEE Transactions on Automatic Control, 68(1):272-284, 2023.

[38]          A. Falsone, L. Deori, D. Ioli, S. Garatti, M. Prandini
"Optimal steady-state disturbance compensation for constrained linear systems: the Gaussian noise case" (full paper)
IEEE Transactions on Automatic Control, 67(12):6322-6332, 2022.

[37]          S. Garatti. M.C. Campi
"Risk and complexity in scenario optimization"
Mathematical Programming, 191(1):243-279, 2022.

[36]          M.C. Campi, A. Carč, S. Garatti
"The scenario approach: A tool at the service of data-driven decision making" (vision article)
Annual reviews in Control, 52:1-17, 2021.

[35]          M.C. Campi, S. Garatti
"A theory of the risk for optimization with relaxation and its application to support vector machines"
Journal of Machine Learning Research, 22(288):1-38, 2021.

[34]          L. Deori, S. Garatti, M. Prandini
"A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints"
Automatica, 115(108854):1-9, 2020.

[33]          F. Belluschi, A. Falsone, D. Ioli, K. Margellos, S. Garatti, M. Prandini
"Distributed optimization for structured programs and its application to energy management in a building district"
Journal of process Control, 89:11-21, 2020.

[32]          A. Falsone, L. Deori, D. Ioli, S. Garatti, M. Prandini
"Optimal disturbance compensation for constrained linear systems operating in stationary conditions: a scenario-based approach"
Automatica, 110(12):1-9 2019.

[31]          S. Garatti, M.C. Campi, A. Caré
"On a class of Interval Predictor Models with universal reliability"
Automatica, 110(12):1-9 2019.

[30]          A. Caré, S. Garatti, M.C. Campi
"The wait-and-judge scenario approach applied to antenna array design"
Computational Management Science, 16(3):481-499, 2019.

[29]          L. Deori, , S. Garatti, M. Prandini
"4-D flight trajectory tracking: a receding horizon approach integrating feedback linearization and scenario optimization"
IEEE Transactions on Control Systems Technology, 27(3):981-996, 2019.

[28]          M.S. Modarresi, L. Xie, M.C. Campi, S. Garatti, A. Carč, A.A. Thatte, P.R. Kumar
"Scenario-based economic dispatch with tunable risk levels in high-renewable power systems"
IEEE Transactions on Power Systems, 34(6):5103-5114, 2019.

[27]          H. Ming, L. Xie, M.C. Campi, S. Garatti, P.R. Kumar
"Scenario-based Economic Dispatch with Uncertain Demand Response"
IEEE Transactions on Smart Grids, 10(2):1858-1868, 2019.

[26]          M.C. Campi, S. Garatti, F.A. Ramponi
"A general scenario theory for non-convex optimization and decision making" (full paper)
IEEE Transactions on Automatic Control, 63(12):4067-4078, 2018.

[25]          S. Bittanti, S. Garatti
"Analysis of the Kobe earthquake time series via system identification and fault-detection techniques"
Boletin Geologico y Miniero, 129(3):525-534, 2018.

[24]          A. Falsone, K. Margellos, S. Garatti, M. Prandini
"Finite time distributed averaging over gossip-constrained ring networks"
IEEE Transactions on Control of Network Systems, 5(3):879-887, 2018.

[23]          S. Formentin, G. Rallo, S. Garatti, S.M. Savaresi
"Robust direct data-driven controller tuning with an application to vehicle stability control"
Internation Journal of Robust and Nonlinear Control, 28(12):3752-3765, 2018.

[22]          K. Margellos, A. Falsone, S. Garatti, M. Prandini
"Distributed constrained optimization and consensus in uncertain networks via proximal minimization" (full paper)
IEEE Transactions on Automatic Control, 63(5):1372-1387, 2018.

[21]          M.C. Campi, S. Garatti
"Wait-and-judge scenario optimization"
Mathematical Programming, 167(1):155-189, 2018.

[20]          A. Caré, S. Garatti, M.C. Campi
"A coverage theory for least squares"
Journal of the Royal Statistical Society - Series B: Statistical Methodology, 79(5):1367-1389, 2017.

[19]          A. Falsone, K. Margellos, S. Garatti, M. Prandini
"Dual decompositionfor multi-agent distributed optimization with coupling constraints" (regular paper)
Automatica, 85:149-158, 2017.

[18]          L. Deori, S. Garatti, M. Prandini
"Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach"
Journal of the Franklin Institute, 354(1):501-529, 2017.

[17]          L. Bisone, S. Bittanti, S. Canevese, A. De Marco, S. Garatti, M. Notaro, V. Prandoni
"A post-combustion carbon capture process by amines supported on solid pellets - with estimation of kinetic parameters"
Industrial & Engineering Chemistry Research, 54(10):2743-2762, 2015.

[16]          A. Caré, S. Garatti, M.C. Campi
"Scenario min-max optimization and the risk of empirical costs"
SIAM Journal on Optimization, 25(4):2061-2080, 2015.

[15]          S. Garatti
"A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach"
Systems & Control Letters, 14:14-17, 2014.

[14]          M. Prandini, S. Garatti, R. Vignali
"Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach"
Automatica, 50(11):2852-2860, 2014.

[13]          A. Caré, S. Garatti, M.C. Campi
"FAST- Fast Algorithm for the Scenario Technique"
Operations Research, 62(3):662-671, 2014.

[12]          S. Garatti, S. Bittanti
"A new paradigm for parameter estimation in system modeling"
Journal of Adaptive Control and Signal Processing, 27(8):667-687, 2013.

[11]          S. Garatti, M.C. Campi
"Modulating robustness in control design: principles and algorithms"
IEEE Control Systems 33(2):36-51, 2013.

[10]          M.C. Campi, S. Garatti
"A sampling-and-discarding approach to chance-constrained optimization: feasibility and optimality"
Journal of Optimization Theory and Applications 148(2):257-280, 2011.

[9]            S. Garatti, R.R. Bitmead
"On resampling and uncertainty estimation in linear system identification" (regular paper)
Automatica 46(5):785-795, 2010.

[8]            S. Garatti, M.C. Campi, S. Bittanti
"Iterative robust control: speeding up improvement through iterations"
Systems & Control Letters 59(2):139-146, 2010.

[7]            M.C. Campi, S. Garatti, M. Prandini
"The scenario approach for systems and control design"
Annual Reviews in Control 33(2):149-157, 2009.

[6]            M.C. Campi, G.C. Calafiore, S. Garatti
"Interval predictor models: identification and reliability" (regular paper)
Automatica 45(2):382-392, 2009.

[5]            M.C. Campi, S. Garatti
"The exact feasibility of randomized solutions of uncertain convex programs"
SIAM Journal on Optimization 19(3):1211-1230, 2008.

[4]            S. Garatti, S. Bittanti, D. Liberati, A. Maffezzoli
"An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data"
Intelligent Data Analysis 11(2):175-188, 2007.

[3]            S. Garatti, M.C. Campi, S. Bittanti
 "The asymptotic model quality assessment for instrumental variable identification revisited"
System & Control Letters 55(6):494-500, 2006.

[2]            S. Garatti, M.C. Campi, S. Bittanti
"Assessing the quality of identified models through the asymptotic theory – When is the result reliable?" (regular paper)
 Automatica 40(8):1319-1332, 2004.

[1]            S. Garatti, S.M. Savaresi, S. Bittanti, L. La Brocca
"On the relationship between the user DB and the web-log file of a large virtual community: a data-mining approach"
Intelligent Data Analysis 8(6):579-600, 2004.

 

Chapters of International Books

[4]            M.C. Campi, M. Prandini, S. Garatti
"Scenario optimization for MPC"
in: Handbook of Model Predictive Control (eds. S.V. Rakovic, W.S. Levine) – Birkhauser, 2019.

[3]            S. Garatti, M. Prandini
"Design in presence of uncertainty: the scenario approach"
in: Modern Computational Science 12, Optimization (eds. R. Leidl, A.K. Hartmann) – BIS-Verlag der Carl von Ossietzky Universitat Oldenburg, 2012.

[2]            M. Prandini, M.C. Campi, S. Garatti
"Controller design through random sampling: an example"
in: Advance in control theory and applications (eds. C. Bonivento, A. Isidori, L. Marconi, C. Rossi) – Springer Verlag, LCNIS series, 2007.

[1]            D. Liberati, S. Garatti, S. Bittanti
"Unsupervised mining of genes classifying Leukaemia"
in: Encyclopedia of Data Warehousing and Mining (ed. J. Wang) – Idea Group Publishing, 2005.

 

Papers in International Conference Proceedings

[65]          S. Garatti, A. Carč, M.C. Campi
"Average number of mistakes in sequential risk-averse scenario decision-making"
Proceedings of the 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024.

[64]          D. Paccagnan, M.C. Campi, S. Garatti
"The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance"
Proceedings of the 37th conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.

[63]          S. Garatti, M.C. Campi
"Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design"
Proceedings of the 62nd IEEE Conference on Decision and Control, Singapore, Singapore, 2023.

[62]          S. Garatti, M.C. Campi
"Compression at the service of learning: a case study for the Guaranteed Error Machine"
Proceedings of the 61st IEEE Conference on Decision and Control, Cancun, Mexico, 2022.

[61]          G. Salizzoni, A. Falsone, M. Prandini, S. Garatti
"A scenario solution to state-feedback controller design for discrete time linear systems subject to probabilistic constraints"
Proceedings of the 61st IEEE Conference on Decision and Control, Cancun, Mexico, 2022.

[60]          V. Rucconi, L. De Maria, D. Bartalesi, B. Valecillos, S. Garatti, S. Bittanti
"Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data"
Proceedings of the AISEM 2022 annual conference on Sensors and Microsystems, Rome, Italy, 2022.

[59]          A. Falsone, K. Margellos, J. Zizzo, M. Prandini, S. Garatti
"New Results on Resource Sharing Problems with Random Agent Arrivals and an Application to Economic Dispatch in Power Systems"
Proceedings of the 60th IEEE Conference on Decision and Control, Austin, Texas, USA, 2021.

[58]          S. Garatti, M.C. Campi
"On the Consistency of the Risk Evaluation in the Scenario Approach"
Proceedings of the 60th IEEE Conference on Decision and Control, Austin, Texas, USA, 2021.

[57]          S. Garatti, M.C. Campi
"The risk of making decisions from data through the lens of the scenario approach"
Proceedings of the 19th IFAC Symposium on System Identification, Padova, Italy, 2021.

[56]          V. Rucconi, L. De Maria, S. Garatti, D. Bartalesi, B. Valecillos, S. Bittanti
"Deep learning for fault detection in transformers using vibration data"
Proceedings of the 19th IFAC Symposium on System Identification, Padova, Italy, 2021.

[55]          V. Rucconi, L. De Maria, D. Bartalesi, B. Valecillos, S. Garatti, S. Bittanti
"No load transformers: vibration spectra analysis by deep learning methods for loose windings detection"
Proceedings of the AISEM 2021 annual conference on Sensors and Microsystems, virtual event, 2021.

[54]          M.C. Campi, S. Garatti
"Scenario Optimization with Relaxation: A New Tool for Design and Application to Machine Learning Problems"
Proceedings of the 59th IEEE Conference on Decision and Control, Jeju Island, Republic of Korea, 2020.

[53]          A. Carč, M.C. Campi, F.A. Ramponi, S. Garatti, A.T.J.R. Cobbenhagen
"A study on majority-voting classifiers with guarantees on the probability of error"
Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020.

[52]          A. Tavakoli, L. De Maria, B. Valecillos, D. Bartalesi, S. Garatti, S. Bittanti
"A Machine Learning approach to fault detection in transformers by using vibration data"
Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020.

[51]          A. Karshenas, K. Margellos, S. Garatti
"An incremental scenario approach for building energy management with uncertain occupancy"
Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020.

[50]          A. Falsone, K. Margellos, M. Prandini, S. Garatti
"A scenario-based approach to multi-agent optimization with distributed information"
Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020.

[49]          S. Garatti. M.C. Campi
"Learning for control: a Bayesian scenario approach"
Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, 2019.

[48]          A. Tavakoli, L. De Maria, D. Bartalesi, B. Valecillos, U. Piovan, S. Garatti, S. Bittanti
"Diagnosis of transformers based on vibration data taxonomy"
Proceedings of the 20th IEEE International Conference on Dielectric Liquids, Rome, Italy, 2019.

[47]          S. Garatti, M.C. Campi
"Complexity-based modulation of the data-set size in scenario optimization"
Proceedings of the 18th European Control Conference, Naples, Italy, 2019.

[46]          A. Falsone, L. Deori, D. Ioli, S. Garatti, M. Prandini
"Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation"
Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017.

[45]          F. Baronio, M. Baronio, M.C. Campi, A. Caré, S. Garatti, G. Perone
"Ventricular Defibrillation: Classification with G.E.M. and a Roadmap for Future Investigations"
Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017.

[44]          S. Formentin, S. Garatti, M.C. Campi, S.M. Savaresi
"Tuning regularization via scenario optimization"
Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017.

[43]          A. Falsone, K. Margellos, S. Garatti, M. Prandini
"Linear programs for resource sharing among heterogeneous agents: the effect of random agent arrivals"
Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017.

[42]          L. Bisone, S. Bittanti, M. Casnedi, S. Garatti, D. Pareschi, A. Pochiero
"Estimation in Centrifugal Compressors via Particle Filtering"
Proceedings of the 20th IFAC World Congress, Toulouse, France, 2017.

[41]          A. Falsone, K. Margellos, S. Garatti, M. Prandini
"Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization"
Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, USA, 2016.

[40]          L. Deori, S. Garatti, M. Prandini
"A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control"
Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, USA, 2016.

[39]          G. Rallo, S. Formentin, S. Garatti, S.M. Savaresi
"Vehicle stability control via VRFT with probabilistic robustness guarantees"
Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, USA, 2016.

[38]          K. Margellos, A. Falsone, S. Garatti, M. Prandini
"Proximal minimization based distributed convex optimization"
Proceedings of the 2016 American Control Conference (ACC 2016), Boston, USA, 2016.

[37]          K. Margellos, A. Falsone, S. Garatti, M. Prandini
"Constrained optimal control of stochastic switched affine systems using randomization"
Proceedings of the 15th European Control Conference, Aalborg, Denmark, 2016.

[36]          H.A. Nasir, S. Garatti, E. Weyer
"Scenario based stochastic MPC schemes for rivers with feasibility assurance"
Proceedings of the 15th European Control Conference, Aalborg, Denmark, 2016.

[35]          M.C. Campi, S. Garatti, F. Ramponi
"Non-convex scenario optimization with application to system identification"
Proceedings of the 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.

[34]          L. Deori, S. Garatti, M. Prandini
"Stochastic control with input and state constraints: a relaxation technique to ensure feasibility"
Proceedings of the 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.

[33]          L. Deori, S. Garatti, M. Prandini
"A model predictive control approach to aircraft motion control"
Proceedings of the 2015 American Control Conference (ACC 2015), Chicago, USA, 2015.

[32]          L. Deori, S. Garatti, M. Prandini
"Computational Approaches to robust Model Predictive Control: a comparative analysis"
Proceedings of the 19th IFAC World Congress, Cape Town, South Africa, 2014.

[31]          L. Bisone, S. Bittanti, S. Canevese, A. De Marco, S. Garatti, M. Notaro, V. Prandoni
"Modeling and parameter identification for CO2 post-combustion capture by amines supported on solid sorbents"
Proceedings of the 19th IFAC World Congress, Cape Town, South Africa, 2014.

[30]          P. Panciatici, M.C. Campi, S. Garatti, S.H. Low, D.K. Molzahn, A.X. Sun, L. Wehenkel
"Advance optimization methods for power systems" (plenary lecture)
Proceedings of the 18th Power Systems Computation Conference (PSCC 2014), Wocrlaw, Poland, 2014.

[29]          A. Caré, S. Garatti, M.C. Campi
"Empirical cost distribution: a scenario approach to the construction of probability boxes with application to channel equalization"
Proceedings of the 13th European Control Conference, Strasbourg, France, 2014.

[28]          S. Bittanti, S. Garatti
"A model identification approach to the analysis of the Kobe earthquake time series"
Proceedings of the 1st International Work-Conference on Time Series Analysis (ITISE2014), Granada, Spain, 2014.

[27]          A. Carč, S. Garatti, M.C. Campi
"Least squares estimates and the coverage of least squares costs"
Proceedings of the 52nd IEEE Conference on Decision and Control, Florence, Italy, 2013.

[26]          L. Deori, S. Garatti, M. Prandini
"Stochastic constrained control: trading performance for state constraint feasibility"
Proceedings of the 12th European Control Conference, Zurich, Switzerland, 2013.

[25]          M. Prandini, S. Garatti, J. Lygeros
"A randomized approach to stochastic model predictive control"
Proceedings of the 51st IEEE Conference on Decision and Control, Maui, Hawaii, USA, 2012.

[24]          S. Bittanti, S. Garatti
"System Identification and control: a fruitful coperation over half a century and more" (plenary lecture)
Proceedings of the 31st Chinese Control Conference, Hefei, China, 2012.

[23]          M.C. Campi, B.C. Csŕji, S. Garatti, E. Weyer
"Certified system identification - towards distribution-free results" (plenary lecture)
Proceedings of the 16th IFAC Sysmposium on System Identification (SYSID), Brussels, Belgium, 2012.

[22]          S. Garatti, M. Prandini
"A simulation based approach to the approximation of stochastic hybrid systems"
Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS 12), Eindhoven, The Netherlands, 2012.

[21]          A. Carč, S. Garatti, M.C. Campi
"Randomized min-max optimization: the exact risk of multiple cost levels"
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, Florida, USA, 2011.

[20]          A. Carč, S. Garatti, M.C. Campi
"FAST: an algorithm for the scenario approach with reduced sample complexity"
Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011.

[19]          S. Bittanti, S. Garatti, M. Sarati
"Parameter estimation in induction motors: a comparison between the PE and the TS paradigm"
Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011.

[18]          M.C. Campi, S. Garatti
"Variable robustness control: principles and algorithms" (semiplenary lecture)
Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Budapest, Hungary, 2010.

[17]          S. Garatti, R.R. Bitmead
"On re-sampling and uncertainty estimation in linear system identification"
Proceedings of the 15th IFAC Symposium on System Identification (SYSID), Saint-Malo, France, 2009.

[16]          S. Garatti, S. Bittanti
"Paramter estimation in the Pacejka's tyre model through the TS method"
Proceedings of the 15th IFAC Symposium on System Identification (SYSID), Saint-Malo, France, 2009.

[15]          S. Garatti, M.C. Campi
"L-inf layers and the probability of false prediction"
Proceedings of the 15th IFAC Symposium on System Identification (SYSID), Saint-Malo, France, 2009.

[14]          S. Bittanti, S. Garatti
"Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation"
 Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008.

[13]          S. Garatti, S. Bittanti
"Estimation of white-box model parameters via artificial data generation: a two stage approach"
 Proceedings of the 17th IFAC World Congress, Seoul, Korea, 2008.

[12]          M.C. Campi, S. Garatti, M. Prandini
"The scenario approach for systems and control design" (survey paper)
 Proceedings of the 17th IFAC World Congress (also printed in the volume "Plenary Papers, Milestone Reports & Selected Survey Papers"), Seoul, Korea, 2008.

[11]          S. Garatti, S. Bittanti
"Parameter estimation via artificial data generation with the 'two-stage' approach"
 Proceedings of the 7th World Congress on Intelligent Control and Automation, Chongqing, China, 2008.

[10]          M.C. Campi, S. Garatti
"Modulating robustness in robust control: making it easy through randomization"
 Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, Louisiana, USA, 2007.

[9]            S. Bittanti, M.C. Campi, S. Garatti
 "Introducing robustness in iterative control"
 Proceedings of the 44th IEEE Conference on Decision and Control, Seville, Spain, 2005.

[8]            M.C. Campi, G. Calafiore, S. Garatti
"New results on the identification of interval predictor models"
 Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, 2005.

[7]            S. Bittanti, S. Garatti, D. Liberati
"From DNA microarrays to disease classification: an unsupervised clustering approach"
Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, 2005.

[6]            S. Bittanti, M.C. Campi, S. Garatti
"Some critical implementation issues in iterative robust control"
 Proceedings of the 8th IFAC workshop on Adaptation and Learning in Control and Signal Processing, Yokohama, Japan, 2004.

[5]            S. Garatti, S. Bittanti, M.C. Campi
"On the assessment of the model quality through the asymptotic theory for an Instrumental Variable setting"
Proceedings of the 42nd IEEE Conference on Decision and Control, Maui, Hawaii, USA, 2003.

[4]            S. Savaresi , S. Garatti, S. Bittanti.
"Modeling the relationships between the user DB and the web-log file of a large virtual community"
Proceedings of the 13th IFAC Symposium on System Identification, Rotterdam, the Netherlands 2003.

[3]            S. Savaresi, S. Garatti, S. Bittanti , L. La Brocca
"Data-Mining of a large virtual community: relationships between the users DB and the web-log file"
Proceedings of the 3rd SIAM International Conference on Data Mining, San Francisco, California, USA, 2003.

[2]            S. Bittanti, M.C. Campi, S. Garatti
"New results on the asymptotic theory of system identification for the assessment of the quality of estimated models"
Proceedings of the 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, 2002.

[1]            S. Bittanti, M.C. Campi, S. Garatti
"An iterative controller design scheme based on average robust control"
Proceedings of the 15th IFAC World Congress, Barcelona, Spain, 2002.

 

Papers in National Journals

[1]            D. Liberati, S. Bittanti, S. Garatti, Z. Zhao, M. Pappalettera
"Classificazione di leucemie mediante analisi di dati da microarray"
Automazione e Strumentazione, LIII(10):79-86, 2005.

 

Internal Reports

[4]            S. Garatti, M. Campi, S. Bittanti
"Introducing robustness in iterative control: an average randomized approach"
Internal Report N° 2004.19 – Politecnico di Milano, DEI.

[3]            S. Garatti, M. Campi, S. Bittanti
"The asymptotic model quality assessment for instrumental variable identification revisited"
Internal Report N° 2004.18 – Politecnico di Milano, DEI

[2]            S. Garatti
"Finding relationships between the users DB and the web-log file of a large Internet community: a data mining approach"
Internal Report N° 2002.48 – Politecnico di Milano, DEI

[1]            S. Bittanti, M. Campi, S. Garatti
"Assessing the quality of identified models through the asymptotic theory – When is the result reliable?"
Internal Report N° 2002.29 – Politecnico di Milano, DEI