GHIO, ALESSANDRO
 Distribuzione geografica
Continente #
EU - Europa 5.120
Totale 5.120
Nazione #
IT - Italia 5.120
Totale 5.120
Città #
Genova 4.270
Rapallo 511
Genoa 322
Bordighera 17
Totale 5.120
Nome #
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 142
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 135
A support vector machine with integer parameters 130
A Learning Machine for Resource Limited Adaptive Hardware 129
Selecting the hypothesis space for improving the generalization ability of support vector machines 125
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 123
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 122
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
A FPGA Core Generator for Embedded Classification Systems 115
Maximal Discrepancy for Support Vector Machines 112
Maximal Discrepancy for Support Vector Machines 111
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 110
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications 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
Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression 107
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 105
Smart underwater wireless sensor networks 105
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 104
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
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
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 97
The ‘K’ in K-fold Cross Validation 96
Long-Term Energy Load Forecasting Using Auto-Regressive and Approximating Support Vector Regression 96
Advances in Learning Analytics and Educational Data Mining 95
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 94
Test Error Bounds for Classifiers: A Survey of Old and New Results 93
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 88
Using Variable Neighborhood Search to Improve the Support Vector Machine Performance in Embedded Automotive Applications 88
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 86
A Heuristic Approach to Model Selection for Online Support Vector Machines 86
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
K–Fold Cross Validation for Error Rate Estimate in Support Vector Machines 81
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 80
Shrinkage learning to improve SVM with hints 79
Human algorithmic stability and Human Rademacher Complexity 72
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 70
Smart Plankton: a new generation of underwater wireless sensor networks 70
Nested Sequential Minimal Optimization for Support Vector Machine 69
Byte The Bullet: Learning on Real-World Computing Architectures 62
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. 61
Structural Risk Minimization and Rademacher Complexity for Regression 59
Learning with Few Bits on Small-Scale Devices: from Regularization to Energy Efficiency 54
Human Activity and Motion Disorder Recognition: Towards Smarter Interactive Cognitive Environments 53
Maximal Discrepancy vs. Rademacher Complexity for Error Estimation 47
Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs 45
A Public Domain Dataset for Human Activity Recognition using Smartphones 39
In-sample model selection for Support Vector Machines 2
Totale 5.231
Categoria #
all - tutte 12.691
article - articoli 4.140
book - libri 0
conference - conferenze 8.551
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 25.382


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019303 0 0 0 0 0 0 0 0 0 0 157 146
2019/20201.555 97 43 85 84 115 144 214 86 139 263 161 124
2020/2021339 24 36 32 19 23 54 5 33 35 40 19 19
2021/2022705 20 36 76 82 27 60 34 175 24 59 29 83
2022/2023614 60 55 5 119 63 115 5 31 79 0 73 9
2023/2024237 14 54 10 32 18 48 17 33 3 5 3 0
Totale 5.231