IRIS
ONETO, LUCA
 Distribuzione geografica
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Continente #
EU - Europa 19.314
AS - Asia 148
SA - Sud America 54
NA - Nord America 3
AF - Africa 1
Totale 19.520
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Nazione #
IT - Italia 19.312
CN - Cina 105
BR - Brasile 45
SG - Singapore 23
VN - Vietnam 17
AR - Argentina 5
PY - Paraguay 2
US - Stati Uniti d'America 2
CL - Cile 1
EC - Ecuador 1
HN - Honduras 1
ID - Indonesia 1
IQ - Iraq 1
KR - Corea 1
NO - Norvegia 1
RU - Federazione Russa 1
TN - Tunisia 1
Totale 19.520
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Città #
Genova 8.922
Genoa 6.479
Rapallo 1.936
Vado Ligure 1.890
Bordighera 79
Beijing 42
Singapore 17
Ho Chi Minh City 6
Hanoi 4
Rio de Janeiro 3
São Paulo 3
Bento Gonçalves 2
Brasília 2
Hải Dương 2
Milan 2
Trezzano sul Naviglio 2
Araçatuba 1
Arcos 1
Ashburn 1
Bariri 1
Barra Mansa 1
Barra do Piraí 1
Betim 1
Buenos Aires 1
Bắc Ninh 1
Campinas 1
Cataguases 1
Catanduva 1
Caxias do Sul 1
Contagem 1
Cuiabá 1
Embu das Artes 1
Euclides da Cunha 1
Formosa 1
Garanhuns 1
Goiânia 1
Grand Bourg 1
Guarulhos 1
Guayaquil 1
Ibirité 1
Itapevi 1
Jakarta 1
Joinville 1
Juazeiro do Norte 1
Karbala 1
La Pintana 1
Londrina 1
Lábrea Municipality 1
Mairi 1
Muriaé 1
Oslo 1
Paragominas 1
Paranavaí 1
Porto Feliz 1
Propriá 1
Pyatigorsk 1
Quảng Ngãi 1
Rosario 1
San Antonio 1
San Lorenzo 1
Santa Cruz do Sul 1
Santo Amaro 1
São Francisco do Sul 1
São José 1
São José do Rio Preto 1
São Luís 1
Tegucigalpa 1
Thái Nguyên 1
Tianjin 1
Tunis 1
Totale 19.445
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Nome #
Semi-supervised Learning for Affective Common-Sense Reasoning 665
Introduzione al Progetto di Sistemi Digitali 209
Delay prediction system for large-scale railway networks based on big data analytics 197
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 187
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis 181
Introduction to Digital Systems Design 174
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 171
Model scale cavitation noise spectra prediction: Combining physical knowledge with data science 167
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 166
Big data analytics in the cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf 163
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout 163
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents 162
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback 161
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 160
Can machine learning explain human learning? 159
Vessels fuel consumption: A data analytics perspective to sustainability 158
Train Delay Prediction Systems: A Big Data Analytics Perspective 157
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 157
Fast convergence of extended Rademacher Complexity bounds 156
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property 151
Marine safety and data analytics: Vessel crash stop maneuvering performance prediction 151
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids 149
Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment 148
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 148
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator 148
A local Vapnik-Chervonenkis complexity 146
Model selection and error estimation without the agonizing pain 144
Advanced analytics for train delay prediction systems by including exogenous weather data 143
Large-scale railway networks train movements: A dynamic, interpretable, and robust hybrid data analytics system 143
Tikhonov, Ivanov and Morozov regularization for support vector machine learning 142
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 141
Crack random forest for arbitrary large datasets 141
Selecting the hypothesis space for improving the generalization ability of support vector machines 139
Transition-Aware Human Activity Recognition Using Smartphones 138
Unlabeled Patterns to Tighten Rademacher Complexity Error Bounds for Kernel Classifiers 137
Statistical Learning Theory and ELM for Big Social Data Analysis 137
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective 137
Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction 137
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines 136
Randomized learning: Generalization performance of old and new theoretically grounded algorithms 135
Hybrid Model for Cavitation Noise Spectra Prediction 134
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters 134
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems 133
Technical analysis and sentiment embeddings for market trend prediction 133
A novelty detection approach to diagnosing hull and propeller fouling 132
A Heuristic Approach to Model Selection for Online Support Vector Machines 131
Simple continuous optimal regions of the space of data 131
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 130
Condition based maintenance in railway transportation systems based on big data streaming analysis 130
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 129
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity 129
Advances in Learning Analytics and Educational Data Mining 129
Mining Big Data with Random Forests 128
A Learning Machine with a Bit-Based Hypothesis Space 126
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 126
Learning Hardware-Friendly Classifiers through Algorithmic Stability 125
Advances in artificial neural networks, machine learning and computational intelligence 124
ReForeSt: Random forests in apache spark 123
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics 122
Cavitation Noise Spectra Prediction with Hybrid Models 122
Investigating timing and impact of news on the stock market 122
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions 120
Model Selection for Support Vector Machines: Advantages and Disadvantages of the Machine Learning Theory 119
SLT-Based ELM for Big Social Data Analysis 119
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 118
Sentic Computing for Social Network Analysis 118
Rademacher Complexity and Structural Risk Minimization: an Application to Human Gene Expression Datasets 116
Differential privacy and generalization: Sharper bounds with applications 115
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling 115
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 114
Learning hardware friendly classifiers through algorithmic risk minimization 114
In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine 114
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 113
Measuring the expressivity of graph kernels through Statistical Learning Theory 112
The ‘K’ in K-fold Cross Validation 111
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 111
Fully Empirical and Data-Dependent Stability-Based Bounds 111
Low-Resource Footprint, Data-Driven Malware Detection on Android 110
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis 108
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT 105
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 104
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities 103
Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective 101
Human algorithmic stability and Human Rademacher Complexity 100
Byte The Bullet: Learning on Real-World Computing Architectures 100
In-sample Model Selection for Support Vector Machines 99
Data driven models for propeller cavitation noise in model scale 98
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. 97
Prescriptive maintenance of railway infrastructure: From data analytics to decision support 97
Shrinkage learning to improve SVM with hints 97
Deep graph node kernels: A convex approach 96
Quantum computing and supervised machine learning: Training, model selection, and error estimation 96
Vessel monitoring and design in industry 4.0: A data driven perspective 96
Out-of-Sample Error Estimation: The Blessing of High Dimensionality 94
Operational profiles data analytics for ship design improvement 94
Local Rademacher Complexity Machine 94
General Fair Empirical Risk Minimization 92
Advances in learning with kernels: Theory and practice in a world of growing constraints 90
Compression Bound 89
Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs 88
Totale 13.485
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Categoria #
all - tutte 81.713
article - articoli 33.223
book - libri 2.987
conference - conferenze 39.586
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 5.917
Totale 163.426
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20211.135 0 0 0 73 93 327 84 98 109 173 94 84
2021/20221.730 44 57 101 217 64 138 62 381 147 127 35 357
2022/20232.470 217 172 25 252 306 385 94 136 442 46 347 48
2023/20241.515 48 186 69 180 133 217 75 154 92 58 92 211
2024/20254.463 245 380 149 226 630 497 472 673 171 190 370 460
2025/20262.395 923 225 562 685 0 0 0 0 0 0 0 0
Totale 20.225