CINECA IRIS Institutional Research Information System

ONETO, LUCA
 Distribuzione geografica
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Continente #
NA - Nord America 7.955
EU - Europa 4.414
AS - Asia 4.397
SA - Sud America 1.734
AF - Africa 277
OC - Oceania 95
Continente sconosciuto - Info sul continente non disponibili 7
Totale 18.879
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Nazione #
US - Stati Uniti d'America 5.093
CA - Canada 2.576
BR - Brasile 1.125
CN - Cina 807
HK - Hong Kong 789
GB - Regno Unito 683
DE - Germania 669
SG - Singapore 634
IT - Italia 588
VN - Vietnam 489
SE - Svezia 448
NL - Olanda 346
ES - Italia 310
BG - Bulgaria 293
TR - Turchia 271
ID - Indonesia 267
FR - Francia 230
IN - India 202
AR - Argentina 180
MX - Messico 164
EC - Ecuador 158
IR - Iran 124
KR - Corea 124
RU - Federazione Russa 117
JP - Giappone 114
FI - Finlandia 106
TW - Taiwan 102
CO - Colombia 90
AU - Australia 86
SN - Senegal 81
MY - Malesia 80
PK - Pakistan 65
PT - Portogallo 60
AT - Austria 59
CL - Cile 59
CH - Svizzera 57
GR - Grecia 57
RO - Romania 57
ZA - Sudafrica 53
BE - Belgio 48
IQ - Iraq 45
CR - Costa Rica 42
BD - Bangladesh 41
IE - Irlanda 38
PE - Perù 38
DK - Danimarca 35
PL - Polonia 34
IL - Israele 31
DZ - Algeria 30
AE - Emirati Arabi Uniti 27
PH - Filippine 27
LV - Lettonia 24
PY - Paraguay 24
EE - Estonia 23
VE - Venezuela 23
DO - Repubblica Dominicana 22
SA - Arabia Saudita 22
UA - Ucraina 22
UY - Uruguay 22
EG - Egitto 20
NO - Norvegia 20
TH - Thailandia 19
MA - Marocco 17
KE - Kenya 15
TN - Tunisia 14
BO - Bolivia 13
LB - Libano 13
SK - Slovacchia (Repubblica Slovacca) 13
CZ - Repubblica Ceca 11
HR - Croazia 11
KZ - Kazakistan 11
PR - Porto Rico 11
SV - El Salvador 11
CY - Cipro 10
GT - Guatemala 10
LK - Sri Lanka 10
SI - Slovenia 10
AL - Albania 9
HU - Ungheria 9
NG - Nigeria 9
NP - Nepal 9
JO - Giordania 8
NZ - Nuova Zelanda 8
RS - Serbia 8
AZ - Azerbaigian 7
BH - Bahrain 7
GH - Ghana 7
UZ - Uzbekistan 7
BT - Bhutan 6
LT - Lituania 6
CI - Costa d'Avorio 5
ET - Etiopia 5
PS - Palestinian Territory 5
EU - Europa 4
JM - Giamaica 4
MN - Mongolia 4
MO - Macao, regione amministrativa speciale della Cina 4
BB - Barbados 3
CU - Cuba 3
HN - Honduras 3
Totale 18.810
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Città #
Montreal 2.330
Fairfield 721
Hong Kong 673
Ashburn 578
Santa Clara 477
Woodbridge 327
Singapore 297
Seattle 290
Sofia 289
Cambridge 248
Houston 243
Shanghai 225
Wilmington 223
Beijing 197
New York 167
Ho Chi Minh City 166
Boardman 120
Ottawa 116
Istanbul 107
Dallas 105
Ann Arbor 98
Hanoi 96
Florence 95
Helsinki 92
São Paulo 92
Los Angeles 91
Marseille 90
Princeton 89
Lawrence 88
Quito 88
Dakar 81
Amsterdam 78
London 76
Madrid 71
Des Moines 68
Redwood City 65
Taipei 64
Hanover 53
Milan 48
Serra 44
Nanjing 40
Central District 39
Dearborn 39
Berlin 38
Bogotá 38
Redondo Beach 37
Central 34
Santiago 34
Tokyo 33
Buffalo 32
Rome 32
Dong Ket 31
Rio de Janeiro 30
Rotterdam 30
Seoul 30
Guayaquil 29
Guangzhou 28
Lima 28
Brasília 27
Medford 27
San José 26
Valencia 26
Jakarta 25
Aachen 24
Munich 24
Islamabad 23
Manchester 23
Belo Horizonte 22
Birmingham 22
Bristol 22
Buenos Aires 22
Changsha 22
Nottingham 22
Shenyang 22
Vienna 22
Ankara 21
Athens 21
Napoli 21
Toronto 20
Wuhan 20
Huddersfield 19
Montevideo 19
Bremen 18
Kunming 18
Leeds 18
Utrecht 18
Da Nang 17
Hamburg 17
Hebei 17
San Diego 17
Tallinn 17
Barcelona 16
Delft 16
Frankfurt am Main 16
Mexico 16
Mumbai 16
Santo Domingo 16
Sheffield 16
Washington 16
Curitiba 15
Totale 10.910
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Nome #
The ‘K’ in K-fold Cross Validation 8.782
A Public Domain Dataset for Human Activity Recognition using Smartphones 791
Advances in artificial neural networks, machine learning and computational intelligence 185
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 158
Random forests model selection 146
Selecting the hypothesis space for improving the generalization ability of support vector machines 140
Model Selection for Support Vector Machines: Advantages and Disadvantages of the Machine Learning Theory 136
Train Delay Prediction Systems: A Big Data Analytics Perspective 136
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout 136
In-sample Model Selection for Support Vector Machines 134
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 132
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions 132
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 130
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines 128
Transition-Aware Human Activity Recognition Using Smartphones 128
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 124
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 124
Unlabeled Patterns to Tighten Rademacher Complexity Error Bounds for Kernel Classifiers 123
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 123
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 122
Vessel monitoring based on sensors data collection 121
Fully Empirical and Data-Dependent Stability-Based Bounds 121
A local Vapnik-Chervonenkis complexity 120
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis 120
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 119
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective 119
Model selection and error estimation without the agonizing pain 119
Measuring the expressivity of graph kernels through Statistical Learning Theory 118
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids 117
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity 117
Randomized learning: Generalization performance of old and new theoretically grounded algorithms 116
Differential privacy and generalization: Sharper bounds with applications 116
Introduzione al Progetto di Sistemi Digitali 115
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback 115
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics 114
Tikhonov, Ivanov and Morozov regularization for support vector machine learning 114
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property 113
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis 113
Fast convergence of extended Rademacher Complexity bounds 111
Deep graph node kernels: A convex approach 111
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 111
Statistical Learning Theory and ELM for Big Social Data Analysis 111
Advanced analytics for train delay prediction systems by including exogenous weather data 110
Can machine learning explain human learning? 110
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator 108
Learning hardware friendly classifiers through algorithmic risk minimization 108
SLT-Based ELM for Big Social Data Analysis 108
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters 108
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 107
Structural Risk Minimization and Rademacher Complexity for Regression 107
Rademacher Complexity and Structural Risk Minimization: an Application to Human Gene Expression Datasets 107
Low-Resource Footprint, Data-Driven Malware Detection on Android 106
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents 106
Shrinkage learning to improve SVM with hints 106
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 106
Sentic Computing for Social Network Analysis 105
Condition based maintenance in railway transportation systems based on big data streaming analysis 105
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities 105
Introduction to Digital Systems Design 104
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 103
Operational profiles data analytics for ship design improvement 102
Crack random forest for arbitrary large datasets 101
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 101
Vessel monitoring and design in industry 4.0: A data driven perspective 101
Out-of-Sample Error Estimation: The Blessing of High Dimensionality 101
In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine 100
Big data analytics in the cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf 99
Semi-supervised Learning for Affective Common-Sense Reasoning 98
Vessels fuel consumption: A data analytics perspective to sustainability 97
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 97
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers 95
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems 93
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 92
Delay prediction system for large-scale railway networks based on big data analytics 92
Byte The Bullet: Learning on Real-World Computing Architectures 91
Maximal Discrepancy vs. Rademacher Complexity for Error Estimation 91
A Heuristic Approach to Model Selection for Online Support Vector Machines 89
Learning with Few Bits on Small--Scale Devices: from Regularization to Energy Efficiency 89
A Learning Machine with a Bit-Based Hypothesis Space 89
Nested Sequential Minimal Optimization for Support Vector Machine 87
Learning Hardware-Friendly Classifiers through Algorithmic Stability 87
Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs 85
Societal issues in machine learning: When learning from data is not enough 85
Advances in learning with kernels: Theory and practice in a world of growing constraints 84
Advances in Learning Analytics and Educational Data Mining 83
Tuning the distribution dependent prior in the PAC-Bayes framework based on empirical data 79
Measuring the expressivity of graph kernels through the rademacher complexity 74
Human algorithmic stability and Human Rademacher Complexity 69
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview 68
Quantum computing and supervised machine learning: Training, model selection, and error estimation 66
Improving Fairness via Intrinsic Plasticity in Echo State Networks 55
Investigating over-parameterized randomized graph networks 54
Totale 19.274
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Categoria #
all - tutte 40.915
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 40.915
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021431 0 0 0 0 0 24 16 31 100 58 63 139
2021/20225.081 272 354 352 344 628 517 460 322 487 442 434 469
2022/20232.359 365 306 254 235 213 294 256 44 233 14 117 28
2023/20242.995 45 37 41 25 118 148 28 25 13 2.348 44 123
2024/20253.247 34 134 156 165 311 351 332 184 254 397 313 616
2025/20262.464 214 409 628 832 216 165 0 0 0 0 0 0
Totale 19.274