[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
[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