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Garatti, Simone - Dipartimento di Elettronica e Informazione, Politecnico di Milano
New results on the asymptotic theory of system identification
On the relationships between user profiles and navigation sessions in virtual communities: a data-mining approach
MODELING THE RELATIONSHIPS BETWEEN THE USERS DB AND THE WEB-LOG FILE OF A LARGE VIRTUAL COMMUNITY
Parameter estimation via artificial data generation with the "two-stage" approach
Model quality assessment for Instrumental Variable methods: use of the asymptotic theory in practice
A Sampling-and-Discarding Approach to Chance-Constrained Optimization
Iterative robust control: speeding up improvement through iterations
The Scenario Approach for Systems and Control Design
Interval Predictor Models: Identification and Reliability
THE EXACT FEASIBILITY OF RANDOMIZED SOLUTIONS OF UNCERTAIN CONVEX PROGRAMS
Assessing the quality of identified models through the asymptotic theory -When is the
7Unsupervised Mining of Genes Classifying DiegoLiberati
Variable Robustness Control: Principles and Algorithms Marco C. Campi Simone Garatti
L Layers and the Probability of False Prediction Simone Garatti Marco C. Campi
Revisiting the basic issue of parameter estimation in system identification -a new approach for multi-value estimation
Modulating robustness in robust control: making it easy through randomization
Introducing robustness in iterative control S. Bittanti M.C. Campi S. Garatti
FROM DNA MICRO-ARRAYS TO DISEASE CLASSIFICATION: AN UNSUPERVISED CLUSTERING APPROACH
Data-Mining of a Large Virtual Community: Relationships Between the Users DB and the Web-Log File
AN ITERATIVE CONTROLLER DESIGN SCHEME BASED ON AVERAGE ROBUST CONTROL
Parameter estimation in the Pacejka's tyre model through the TS method
On Resampling and Uncertainty Estimation in Linear System Identification
On Resampling and Uncertainty Estimation in Linear System Identification
AN UNSUPERVISED CLUSTERING APPROACH FOR LEUKAEMIA CLASSIFICATION BASED ON DNA MICRO-ARRAYS DATA
The Scenario Approach for Systems and Control Design
The asymptotic model quality assessment for instrumental variable identification revisited
Estimation of white-box model parameters via artificial data generation: a two-stage approach
SOME CRITICAL IMPLEMENTATION ISSUES IN ITERATIVE ROBUST CONTROL DESIGN