ONETO, LUCA
 Distribuzione geografica
Continente #
NA - Nord America 9.285
AS - Asia 5.087
EU - Europa 4.713
SA - Sud America 1.931
Continente sconosciuto - Info sul continente non disponibili 404
AF - Africa 321
OC - Oceania 95
Totale 21.836
Nazione #
US - Stati Uniti d'America 6.278
CA - Canada 2.618
BR - Brasile 1.171
CN - Cina 982
SG - Singapore 807
HK - Hong Kong 802
GB - Regno Unito 698
DE - Germania 676
IT - Italia 666
VN - Vietnam 608
SE - Svezia 450
ES - Italia 365
NL - Olanda 352
FR - Francia 332
BG - Bulgaria 294
TR - Turchia 282
ID - Indonesia 280
IN - India 236
AR - Argentina 225
MX - Messico 204
EC - Ecuador 193
JP - Giappone 143
KR - Corea 127
IR - Iran 126
RU - Federazione Russa 118
CO - Colombia 115
FI - Finlandia 109
TW - Taiwan 102
MY - Malesia 87
AU - Australia 86
SN - Senegal 82
PK - Pakistan 80
CL - Cile 70
BD - Bangladesh 69
PT - Portogallo 64
GR - Grecia 62
IQ - Iraq 61
ZA - Sudafrica 61
AT - Austria 59
RO - Romania 59
CH - Svizzera 58
CR - Costa Rica 57
PE - Perù 52
BE - Belgio 48
IE - Irlanda 43
PH - Filippine 39
VE - Venezuela 36
DK - Danimarca 35
PL - Polonia 35
IL - Israele 34
AE - Emirati Arabi Uniti 33
DZ - Algeria 32
DO - Repubblica Dominicana 30
PY - Paraguay 29
SA - Arabia Saudita 28
MA - Marocco 26
EE - Estonia 25
LV - Lettonia 24
UY - Uruguay 24
UA - Ucraina 23
EG - Egitto 22
TH - Thailandia 21
NO - Norvegia 20
TN - Tunisia 19
KE - Kenya 18
JM - Giamaica 17
SV - El Salvador 17
JO - Giordania 15
BO - Bolivia 14
PR - Porto Rico 14
UZ - Uzbekistan 14
GT - Guatemala 13
LB - Libano 13
SK - Slovacchia (Repubblica Slovacca) 13
KZ - Kazakistan 12
CZ - Repubblica Ceca 11
HN - Honduras 11
HR - Croazia 11
LK - Sri Lanka 11
NP - Nepal 11
CY - Cipro 10
ET - Etiopia 10
HU - Ungheria 10
SI - Slovenia 10
AL - Albania 9
NG - Nigeria 9
RS - Serbia 9
LT - Lituania 8
NZ - Nuova Zelanda 8
AZ - Azerbaigian 7
BH - Bahrain 7
CI - Costa d'Avorio 7
GH - Ghana 7
PS - Palestinian Territory 7
BT - Bhutan 6
NI - Nicaragua 6
BB - Barbados 4
BY - Bielorussia 4
EU - Europa 4
MN - Mongolia 4
Totale 21.353
Città #
Montreal 2.345
Fairfield 721
Ashburn 701
Hong Kong 681
Santa Clara 500
Singapore 355
Woodbridge 328
Seattle 290
Sofia 289
Cambridge 248
Houston 247
Shanghai 228
San Jose 227
Wilmington 224
Beijing 207
Ho Chi Minh City 203
New York 176
Hanoi 132
Boardman 122
Dallas 116
Ottawa 116
Los Angeles 112
Istanbul 110
Council Bluffs 109
Quito 105
São Paulo 103
Ann Arbor 98
Florence 96
Helsinki 95
Lawrence 92
Marseille 92
Princeton 89
Madrid 83
Dakar 82
Amsterdam 78
London 78
Lauterbourg 77
Des Moines 68
Redwood City 65
Taipei 64
Milan 60
Tokyo 60
Hanover 53
Bogotá 48
Serra 44
Buffalo 40
Nanjing 40
Rome 40
Santiago 40
Central District 39
Dearborn 39
Berlin 38
Guayaquil 38
Redondo Beach 37
San José 37
Rio de Janeiro 35
Central 34
Lima 33
Dong Ket 31
Toronto 31
Rotterdam 30
Seoul 30
Valencia 30
Guangzhou 28
Brasília 27
Buenos Aires 27
Medford 27
Jakarta 26
Islamabad 25
Aachen 24
Baghdad 24
Munich 24
Santo Domingo 24
Ankara 23
Belo Horizonte 23
Bristol 23
Changsha 23
Manchester 23
Shenyang 23
Athens 22
Birmingham 22
Da Nang 22
Nottingham 22
Vienna 22
Medellín 21
Montevideo 21
Napoli 21
Wuhan 21
Frankfurt am Main 20
Haiphong 19
Huddersfield 19
Johannesburg 19
Kunming 19
Lahore 19
Mumbai 19
San Diego 19
Bremen 18
Dublin 18
Kingston 18
Leeds 18
Totale 11.872
Nome #
The ‘K’ in K-fold Cross Validation 9.274
A Public Domain Dataset for Human Activity Recognition using Smartphones 903
Advances in artificial neural networks, machine learning and computational intelligence 205
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 181
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 173
Random forests model selection 166
Train Delay Prediction Systems: A Big Data Analytics Perspective 162
A local Vapnik-Chervonenkis complexity 159
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout 158
Selecting the hypothesis space for improving the generalization ability of support vector machines 156
Model Selection for Support Vector Machines: Advantages and Disadvantages of the Machine Learning Theory 154
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions 154
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 152
In-sample Model Selection for Support Vector Machines 152
Tikhonov, Ivanov and Morozov regularization for support vector machine learning 151
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 148
Transition-Aware Human Activity Recognition Using Smartphones 147
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 147
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 145
Unlabeled Patterns to Tighten Rademacher Complexity Error Bounds for Kernel Classifiers 144
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective 144
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines 143
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 143
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 142
Vessel monitoring based on sensors data collection 141
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback 141
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis 141
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis 140
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity 140
Randomized learning: Generalization performance of old and new theoretically grounded algorithms 139
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property 138
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 138
Model selection and error estimation without the agonizing pain 138
Advanced analytics for train delay prediction systems by including exogenous weather data 137
Can machine learning explain human learning? 137
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 137
Fully Empirical and Data-Dependent Stability-Based Bounds 136
Measuring the expressivity of graph kernels through Statistical Learning Theory 135
Introduzione al Progetto di Sistemi Digitali 134
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids 134
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics 133
Introduction to Digital Systems Design 132
Fast convergence of extended Rademacher Complexity bounds 130
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents 129
Differential privacy and generalization: Sharper bounds with applications 129
Structural Risk Minimization and Rademacher Complexity for Regression 128
Statistical Learning Theory and ELM for Big Social Data Analysis 128
Rademacher Complexity and Structural Risk Minimization: an Application to Human Gene Expression Datasets 127
Deep graph node kernels: A convex approach 127
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator 126
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 125
Sentic Computing for Social Network Analysis 124
Learning hardware friendly classifiers through algorithmic risk minimization 124
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities 124
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters 124
A Heuristic Approach to Model Selection for Online Support Vector Machines 123
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 122
Crack random forest for arbitrary large datasets 122
Shrinkage learning to improve SVM with hints 122
Vessel monitoring and design in industry 4.0: A data driven perspective 122
Condition based maintenance in railway transportation systems based on big data streaming analysis 121
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 121
SLT-Based ELM for Big Social Data Analysis 121
Low-Resource Footprint, Data-Driven Malware Detection on Android 120
Operational profiles data analytics for ship design improvement 120
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 119
Out-of-Sample Error Estimation: The Blessing of High Dimensionality 117
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems 116
Big data analytics in the cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf 116
Learning Hardware-Friendly Classifiers through Algorithmic Stability 116
Nested Sequential Minimal Optimization for Support Vector Machine 115
Vessels fuel consumption: A data analytics perspective to sustainability 115
Semi-supervised Learning for Affective Common-Sense Reasoning 115
In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine 114
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers 113
A Learning Machine with a Bit-Based Hypothesis Space 113
Byte The Bullet: Learning on Real-World Computing Architectures 112
Advances in learning with kernels: Theory and practice in a world of growing constraints 111
Delay prediction system for large-scale railway networks based on big data analytics 109
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 105
Advances in Learning Analytics and Educational Data Mining 105
Learning with Few Bits on Small--Scale Devices: from Regularization to Energy Efficiency 104
Maximal Discrepancy vs. Rademacher Complexity for Error Estimation 104
Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs 103
Societal issues in machine learning: When learning from data is not enough 103
Tuning the distribution dependent prior in the PAC-Bayes framework based on empirical data 100
Measuring the expressivity of graph kernels through the rademacher complexity 92
Quantum computing and supervised machine learning: Training, model selection, and error estimation 86
Human algorithmic stability and Human Rademacher Complexity 86
Improving Fairness via Intrinsic Plasticity in Echo State Networks 86
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview 82
Investigating over-parameterized randomized graph networks 80
Informed Machine Learning for Complex Data 35
Informed machine learning for complex data 31
Totale 21.836
Categoria #
all - tutte 47.855
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 47.855


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20224.455 0 0 352 344 628 517 460 322 487 442 434 469
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
2025/20263.998 214 409 628 832 216 251 280 206 257 386 226 93
2026/20271.028 138 491 399 0 0 0 0 0 0 0 0 0
Totale 21.836