IRIS
ONETO, LUCA
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
EU - Europa 14.317
Totale 14.317
Salva come PNG Salva come JPEG
Nazione #
IT - Italia 14.317
Totale 14.317
Salva come PNG Salva come JPEG
Città #
Genova 8.922
Rapallo 1.936
Genoa 1.908
Vado Ligure 1.472
Bordighera 79
Totale 14.317
Salva come PNG Salva come JPEG
Nome #
Semi-supervised Learning for Affective Common-Sense Reasoning 627
Delay prediction system for large-scale railway networks based on big data analytics 171
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 165
Introduzione al Progetto di Sistemi Digitali 160
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 151
Introduction to Digital Systems Design 150
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis 143
Vessels fuel consumption: A data analytics perspective to sustainability 141
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 141
Big data analytics in the cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf 139
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 136
Model scale cavitation noise spectra prediction: Combining physical knowledge with data science 135
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents 134
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 130
Train Delay Prediction Systems: A Big Data Analytics Perspective 130
Selecting the hypothesis space for improving the generalization ability of support vector machines 129
Statistical Learning Theory and ELM for Big Social Data Analysis 129
Can machine learning explain human learning? 127
Unlabeled Patterns to Tighten Rademacher Complexity Error Bounds for Kernel Classifiers 125
Tikhonov, Ivanov and Morozov regularization for support vector machine learning 125
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective 125
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback 125
Transition-Aware Human Activity Recognition Using Smartphones 125
Fast convergence of extended Rademacher Complexity bounds 123
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines 122
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout 122
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property 120
Advanced analytics for train delay prediction systems by including exogenous weather data 119
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids 117
Model selection and error estimation without the agonizing pain 117
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 115
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems 114
Crack random forest for arbitrary large datasets 114
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 113
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 113
Advances in artificial neural networks, machine learning and computational intelligence 113
Simple continuous optimal regions of the space of data 113
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters 113
Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction 113
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity 112
Marine safety and data analytics: Vessel crash stop maneuvering performance prediction 111
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 110
Learning Hardware-Friendly Classifiers through Algorithmic Stability 110
Condition based maintenance in railway transportation systems based on big data streaming analysis 110
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics 107
Randomized learning: Generalization performance of old and new theoretically grounded algorithms 106
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 105
A local Vapnik-Chervonenkis complexity 105
Model Selection for Support Vector Machines: Advantages and Disadvantages of the Machine Learning Theory 105
Technical analysis and sentiment embeddings for market trend prediction 105
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions 104
In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine 104
Advances in Learning Analytics and Educational Data Mining 103
Rademacher Complexity and Structural Risk Minimization: an Application to Human Gene Expression Datasets 102
A novelty detection approach to diagnosing hull and propeller fouling 102
Large-scale railway networks train movements: A dynamic, interpretable, and robust hybrid data analytics system 101
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator 101
The ‘K’ in K-fold Cross Validation 100
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 100
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 100
Sentic Computing for Social Network Analysis 100
Differential privacy and generalization: Sharper bounds with applications 100
Low-Resource Footprint, Data-Driven Malware Detection on Android 100
Mining Big Data with Random Forests 100
A Heuristic Approach to Model Selection for Online Support Vector Machines 99
Investigating timing and impact of news on the stock market 99
Measuring the expressivity of graph kernels through Statistical Learning Theory 98
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities 96
SLT-Based ELM for Big Social Data Analysis 95
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 94
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis 94
Cavitation Noise Spectra Prediction with Hybrid Models 94
A Learning Machine with a Bit-Based Hypothesis Space 93
Learning hardware friendly classifiers through algorithmic risk minimization 93
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 92
Out-of-Sample Error Estimation: The Blessing of High Dimensionality 89
Fully Empirical and Data-Dependent Stability-Based Bounds 89
In-sample Model Selection for Support Vector Machines 88
ReForeSt: Random forests in apache spark 86
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 82
Vessel monitoring and design in industry 4.0: A data driven perspective 82
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling 82
Shrinkage learning to improve SVM with hints 82
Quantum computing and supervised machine learning: Training, model selection, and error estimation 81
Local Rademacher Complexity Machine 80
Human algorithmic stability and Human Rademacher Complexity 79
Operational profiles data analytics for ship design improvement 79
General Fair Empirical Risk Minimization 79
Hybrid Model for Cavitation Noise Spectra Prediction 78
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) 75
Nested Sequential Minimal Optimization for Support Vector Machine 74
Measuring the expressivity of graph kernels through the rademacher complexity 74
Deep graph node kernels: A convex approach 74
Prescriptive maintenance of railway infrastructure: From data analytics to decision support 72
Compression Bound 72
Byte The Bullet: Learning on Real-World Computing Architectures 70
Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment 69
Random Forests model selection 69
Data driven models for propeller cavitation noise in model scale 69
Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective 67
Totale 11.115
Salva come PNG Salva come JPEG
Categoria #
all - tutte 59.655
article - articoli 24.735
book - libri 2.275
conference - conferenze 28.123
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 4.522
Totale 119.310
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20202.684 0 0 0 0 262 340 481 276 327 502 363 133
2020/20211.500 83 135 147 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
2024/20251.620 245 380 149 226 620 0 0 0 0 0 0 0
Totale 14.987