GARATTI, SIMONE
 Distribuzione geografica
Continente #
NA - Nord America 7.010
EU - Europa 3.550
AS - Asia 2.633
SA - Sud America 772
AF - Africa 175
Continente sconosciuto - Info sul continente non disponibili 3
OC - Oceania 3
Totale 14.146
Nazione #
US - Stati Uniti d'America 6.861
RU - Federazione Russa 1.449
SG - Singapore 1.260
CN - Cina 679
BR - Brasile 665
IT - Italia 614
VN - Vietnam 256
GB - Regno Unito 220
DE - Germania 208
AT - Austria 205
UA - Ucraina 167
SE - Svezia 120
NL - Olanda 117
FI - Finlandia 112
CA - Canada 94
IE - Irlanda 90
CI - Costa d'Avorio 82
FR - Francia 81
ES - Italia 74
JO - Giordania 57
IN - India 56
ID - Indonesia 55
HK - Hong Kong 49
MA - Marocco 45
KR - Corea 44
BD - Bangladesh 35
MX - Messico 34
AR - Argentina 33
EC - Ecuador 25
IQ - Iraq 24
JP - Giappone 21
GR - Grecia 18
TR - Turchia 15
ZA - Sudafrica 15
CH - Svizzera 13
PL - Polonia 12
SA - Arabia Saudita 12
BE - Belgio 11
CO - Colombia 11
TW - Taiwan 10
UZ - Uzbekistan 10
CL - Cile 9
PY - Paraguay 9
RO - Romania 9
AE - Emirati Arabi Uniti 8
KE - Kenya 8
LT - Lituania 7
VE - Venezuela 7
PE - Perù 6
PH - Filippine 6
UY - Uruguay 6
EG - Egitto 5
TT - Trinidad e Tobago 5
AL - Albania 4
AZ - Azerbaigian 4
BG - Bulgaria 4
DO - Repubblica Dominicana 4
PK - Pakistan 4
BJ - Benin 3
CZ - Repubblica Ceca 3
JM - Giamaica 3
KG - Kirghizistan 3
KZ - Kazakistan 3
MU - Mauritius 3
NI - Nicaragua 3
NP - Nepal 3
PS - Palestinian Territory 3
TN - Tunisia 3
AO - Angola 2
AU - Australia 2
DK - Danimarca 2
DZ - Algeria 2
ET - Etiopia 2
EU - Europa 2
GA - Gabon 2
GE - Georgia 2
IL - Israele 2
KW - Kuwait 2
OM - Oman 2
PT - Portogallo 2
BA - Bosnia-Erzegovina 1
BB - Barbados 1
BH - Bahrain 1
BN - Brunei Darussalam 1
BO - Bolivia 1
BS - Bahamas 1
CG - Congo 1
CU - Cuba 1
CW - ???statistics.table.value.countryCode.CW??? 1
GT - Guatemala 1
HU - Ungheria 1
IR - Iran 1
LB - Libano 1
LK - Sri Lanka 1
LV - Lettonia 1
LY - Libia 1
MD - Moldavia 1
MN - Mongolia 1
MY - Malesia 1
NO - Norvegia 1
Totale 14.138
Città #
Fairfield 855
Ashburn 816
Woodbridge 569
Singapore 552
Santa Clara 474
Houston 445
Wilmington 382
Seattle 323
Chandler 321
Ann Arbor 306
Cambridge 288
Vienna 190
Moscow 178
Beijing 157
Milan 154
Boardman 141
Council Bluffs 140
Hefei 126
Medford 96
Jacksonville 93
Lawrence 93
Dearborn 92
Dublin 88
London 87
Abidjan 82
Ottawa 70
San Diego 65
Dong Ket 63
Los Angeles 63
Dallas 59
Amman 57
Ho Chi Minh City 57
Málaga 56
São Paulo 53
Livorno 50
Hong Kong 42
Jakarta 41
Buffalo 39
Delft 39
San Jose 39
Chicago 37
Norwalk 36
Amsterdam 35
Casablanca 35
Frankfurt am Main 33
Hanoi 33
Helsinki 33
New York 32
Des Moines 31
Redwood City 30
Seoul 30
Redmond 25
Rio de Janeiro 25
Salt Lake City 22
Phoenix 19
Shanghai 18
Washington 16
Rome 15
Atlanta 14
Auburn Hills 14
Dhaka 13
Düsseldorf 13
Florence 13
Kent 13
Brescia 12
Fremont 12
Nanjing 12
Nuremberg 12
Tianjin 12
Tokyo 12
Baghdad 11
Denver 11
Porto Alegre 11
Brussels 10
Guangzhou 10
Monza 10
Reggio Emilia 10
Tashkent 10
Boston 9
Brasília 9
Brookings 9
Guayaquil 9
Lappeenranta 9
Napoli 9
Orem 9
Taipei 9
The Dalles 9
Viareggio 9
Warsaw 9
Bengaluru 8
Hamburg 8
Mountain View 8
North Bergen 8
Quito 8
Redondo Beach 8
Campinas 7
Chennai 7
Elk Grove Village 7
Hangzhou 7
Karlsruhe 7
Totale 8.763
Nome #
Parameter estimation in the Pacejka's tyre model through the TS method 269
Wait-and-judge scenario optimization 258
Risk and complexity in scenario optimization 233
Dual decomposition for multi-agent distributed optimization with coupling constraints 229
Finite time distributed averaging over gossip-constrained ring networks 205
Linear programs for resource sharing among heterogeneous agents: the effect of random agent arrivals 199
Scenario min-max optimization and the risk of empirical costs 193
Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation 190
4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization 188
A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control 184
FAST- Fast Algorithm for the Scenario Technique 183
Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization 183
Distributed constrained optimization and consensus in uncertain networks via proximal minimization 179
Classificazione di leucemie mediante analisi di dati da microarray 178
A general scenario theory for non-convex optimization and decision making 176
A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach 172
Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach 172
A sampling-and-discarding approach to chance-constrained optimization: feasibility and optimality 171
A model predictive control approach to aircraft motion control 170
A new paradigm for parameter estimation in system modeling 166
Constrained optimal control of stochastic switched affine systems using randomization 166
A randomized approach to stochastic model predictive control 165
A post-combustion carbon capture process by amines supported on solid pellets - with estimation of kinetic parameters 163
Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach 163
Robust direct data-driven controller tuning with an application to vehicle stability control 163
A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints 162
Stochastic constrained control: trading performance for state constraint feasibility 161
Computational approaches to robust Model Predictive Control: a comparative analysis 160
A coverage theory for least squares 157
Distributed optimization for structured programs and its application to energy management in a building district 155
Scenario-based Economic Dispatch with Tunable Risk Levels in High-renewable Power Systems 154
The exact feasibility of randomized solutions of robust convex programs 151
Proximal minimization based distributed convex optimization 151
Vehicle stability control via VRFT with probabilistic robustness guarantees 149
A simulation-based approach to the approximation of stochastic hybrid systems 148
Stochastic control with input and state constraints: a relaxation technique to ensure feasibility 147
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data 145
On a class of interval predictor models with universal reliability 142
The scenario approach: A tool at the service of data-driven decision making 141
Modulating robustness in robust control: making it easy through randomization 136
New results on the identification of interval predictor models 134
Introducing robustness in iterative control 133
A model identification approach to the analysis of the Kobe earthquake time series 130
From DNA microarrays to disease classification: an unsupervised clustering approach 130
Introduction to the Scenario Approach 129
Interval predictor models: identification and reliability 128
New results on the asymptotic theory of system identification for the assessment of the quality of estimated models 127
The wait-and-judge scenario approach applied to antenna array design 127
Certified system identification - towards distribution-free results 126
Unsupervised mining of genes classifying Leukaemia 125
Scenario-based Economic Dispatch with Uncertain Demand Response 124
Data-Mining of a Large Virtual Community: Relationships Between the Users DB and the Web-Log File 123
Optimal steady-state disturbance compensation for constrained linear systems: the Gaussian noise case 122
A Machine Learning approach to fault detection in transformers by using vibration data 120
Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation 119
Some critical implementation issues in iterative robust control design 118
Complexity-based modulation of the data-set in scenario optimization 118
Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach 116
Controller design through random sampling: An example. 114
An iterative controller design scheme based on average robust control 114
Randomized min-max optimization: The exact risk of multiple cost levels 114
A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints 113
Advance optimization methods for power systems 113
On resampling and uncertainty estimation in linear system identification 112
Analysis of the Kobe earthquake time series via system identification and fault-detection techniques 112
Diagnosis of transformers based on vibration data 108
Assessing the quality of identified models trough the asymptotic theory – When is the result reliable? 108
Deep learning for fault detection in transformers using vibration data 108
A scenario-based approach to multi-agent optimization with distributed information 106
Estimation of white-box model parameters via artificial data generation: a two stage approach 103
The scenario approach for systems and control design 103
Scenario Optimization for MPC 102
An incremental scenario approach for building energy management with uncertain occupancy 102
The asymptotic model quality assessment for instrumental variable identification revisited 99
Modeling the Relationships Between the Users DB and the Web-Log File of a Large Virtual Community 99
The scenario approach for systems and control design 98
Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data 97
FAST: an algorithm for the scenario approach with reduced sample complexity 97
Complexity is an effective observable to tune early stopping in scenario optimization 97
Estimation in Centrifugal Compressors via Particle Filtering 96
Tuning regularization via scenario optimization 95
Ventricular Defibrillation: Classification with GEM and a Roadmap for Future Investigations 95
Model quality assessment for Instrumental Variable methods: use of the asymptotic theory in practice 94
Parameter estimation in induction motors: a comparison between the PE and the TS paradigm. 94
Preface 90
Learning for Control: a Bayesian Scenario Approach 90
On re-sampling and uncertainty estimation in linear system identification 89
On the sensitivity of linear resource sharing problems to the arrival of new agents 88
Iterative robust control: speeding up improvement through iterations 87
A study on majority-voting classifiers with guarantees on the probability of error 87
Non-convex scenario optimization 86
Empirical cost distribution: a scenario approach to the construction of probability boxes with application to channel equalization 86
Non-convex scenario optimization with application to system identification 86
ON CONDITIONAL RISK ASSESSMENTS IN SCENARIO OPTIMIZATION 84
A theory of the risk for optimization with relaxation and its application to support vector machines 84
Special Topics in Information Technology 83
Modulating robustness in control design: principles and algorithms 82
The risk of making decisions from data through the lens of the scenario approach 81
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems 80
Least squares estimates and the coverage of least squares costs 79
Totale 13.281
Categoria #
all - tutte 43.868
article - articoli 18.759
book - libri 298
conference - conferenze 23.229
curatela - curatele 126
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.456
Totale 87.736


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021591 0 0 0 0 0 0 47 73 63 203 70 135
2021/2022893 72 99 55 60 39 48 61 74 64 76 107 138
2022/2023866 123 69 34 59 98 99 7 53 189 68 44 23
2023/2024562 42 89 21 51 37 92 30 24 13 94 16 53
2024/20252.682 37 23 51 46 516 206 49 226 294 168 493 573
2025/20264.356 1.114 1.303 425 665 348 395 106 0 0 0 0 0
Totale 14.423