IRIS
ONETO, LUCA
 Distribuzione geografica
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Continente #
EU - Europa 12.415
Totale 12.415
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Nazione #
IT - Italia 12.415
Totale 12.415
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Città #
Genova 8.922
Rapallo 1.936
Genoa 1.478
Bordighera 79
Totale 12.415
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Nome #
Semi-supervised Learning for Affective Common-Sense Reasoning 621
Delay prediction system for large-scale railway networks based on big data analytics 163
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 155
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 142
Introduction to Digital Systems Design 135
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 135
Big data analytics in the cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf 132
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents 129
Selecting the hypothesis space for improving the generalization ability of support vector machines 125
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis 124
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 123
Vessels fuel consumption: A data analytics perspective to sustainability 123
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 122
Model scale cavitation noise spectra prediction: Combining physical knowledge with data science 122
Tikhonov, Ivanov and Morozov regularization for support vector machine learning 121
Statistical Learning Theory and ELM for Big Social Data Analysis 121
Transition-Aware Human Activity Recognition Using Smartphones 121
Train Delay Prediction Systems: A Big Data Analytics Perspective 119
Unlabeled Patterns to Tighten Rademacher Complexity Error Bounds for Kernel Classifiers 118
Fast convergence of extended Rademacher Complexity bounds 118
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines 117
Vessels fuel consumption forecast and trim optimisation: A data analytics perspective 117
Can machine learning explain human learning? 116
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback 115
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids 112
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 110
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters 109
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property 108
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems 107
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout 106
Marine safety and data analytics: Vessel crash stop maneuvering performance prediction 106
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 105
Condition based maintenance in railway transportation systems based on big data streaming analysis 105
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 104
Advanced analytics for train delay prediction systems by including exogenous weather data 104
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity 104
Simple continuous optimal regions of the space of data 104
Learning Hardware-Friendly Classifiers through Algorithmic Stability 103
Advances in artificial neural networks, machine learning and computational intelligence 103
Crack random forest for arbitrary large datasets 103
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics 102
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions 101
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 100
In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine 100
Introduzione al Progetto di Sistemi Digitali 99
Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction 99
Rademacher Complexity and Structural Risk Minimization: an Application to Human Gene Expression Datasets 98
Model Selection for Support Vector Machines: Advantages and Disadvantages of the Machine Learning Theory 98
Technical analysis and sentiment embeddings for market trend prediction 98
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 97
Differential privacy and generalization: Sharper bounds with applications 96
The ‘K’ in K-fold Cross Validation 95
Low-Resource Footprint, Data-Driven Malware Detection on Android 95
A novelty detection approach to diagnosing hull and propeller fouling 95
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 94
Advances in Learning Analytics and Educational Data Mining 94
Model selection and error estimation without the agonizing pain 94
Randomized learning: Generalization performance of old and new theoretically grounded algorithms 93
A local Vapnik-Chervonenkis complexity 91
Sentic Computing for Social Network Analysis 91
Measuring the expressivity of graph kernels through Statistical Learning Theory 91
SLT-Based ELM for Big Social Data Analysis 89
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 88
Mining Big Data with Random Forests 88
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 86
A Heuristic Approach to Model Selection for Online Support Vector Machines 86
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis 86
Cavitation Noise Spectra Prediction with Hybrid Models 86
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator 86
Learning hardware friendly classifiers through algorithmic risk minimization 85
Out-of-Sample Error Estimation: The Blessing of High Dimensionality 84
Fully Empirical and Data-Dependent Stability-Based Bounds 84
A Learning Machine with a Bit-Based Hypothesis Space 83
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities 83
In-sample Model Selection for Support Vector Machines 83
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 80
Shrinkage learning to improve SVM with hints 79
ReForeSt: Random forests in apache spark 78
Vessel monitoring and design in industry 4.0: A data driven perspective 78
Local Rademacher Complexity Machine 76
Large-scale railway networks train movements: A dynamic, interpretable, and robust hybrid data analytics system 75
Hybrid Model for Cavitation Noise Spectra Prediction 73
Human algorithmic stability and Human Rademacher Complexity 72
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling 72
General Fair Empirical Risk Minimization 72
Operational profiles data analytics for ship design improvement 71
Investigating timing and impact of news on the stock market 71
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 70
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) 70
Nested Sequential Minimal Optimization for Support Vector Machine 69
Measuring the expressivity of graph kernels through the rademacher complexity 69
Quantum computing and supervised machine learning: Training, model selection, and error estimation 69
Deep graph node kernels: A convex approach 67
Prescriptive maintenance of railway infrastructure: From data analytics to decision support 64
Compression Bound 63
Random Forests model selection 62
Byte The Bullet: Learning on Real-World Computing Architectures 62
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. 61
Data driven models for propeller cavitation noise in model scale 61
Structural Risk Minimization and Rademacher Complexity for Regression 59
Totale 10.188
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Categoria #
all - tutte 45.732
article - articoli 19.275
book - libri 1.796
conference - conferenze 21.071
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 3.590
Totale 91.464
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019695 0 0 0 0 0 0 0 0 0 0 338 357
2019/20203.364 259 103 113 205 262 340 481 276 327 502 363 133
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
2023/20241.228 48 186 71 181 134 217 77 154 92 58 10 0
Totale 13.080