IRIS
GHIO, ALESSANDRO
 Distribuzione geografica
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Continente #
EU - Europa 6.592
AS - Asia 32
SA - Sud America 19
Totale 6.643
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Nazione #
IT - Italia 6.591
CN - Cina 23
BR - Brasile 13
VN - Vietnam 8
AR - Argentina 3
PY - Paraguay 2
EE - Estonia 1
ID - Indonesia 1
VE - Venezuela 1
Totale 6.643
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Città #
Genova 4.270
Genoa 1.371
Rapallo 511
Vado Ligure 422
Bordighera 17
Beijing 13
Hanoi 3
Ho Chi Minh City 2
Asunción 1
Buenos Aires 1
Bắc Ninh 1
Caracas 1
Cruz Machado 1
Embu das Artes 1
Euclides da Cunha 1
Garanhuns 1
Hortolândia 1
Ibirité 1
Jundiaí 1
Lomas de Zamora 1
Long An 1
Ninh Bình 1
Porto Feliz 1
Propriá 1
Recife 1
Resistencia 1
Rio de Janeiro 1
São José 1
São Paulo 1
Tallinn 1
Totale 6.631
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Nome #
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers 171
A Learning Machine for Resource Limited Adaptive Hardware 170
A support vector machine with integer parameters 168
Machine learning approaches for improving condition-based maintenance of naval propulsion plants 166
A FPGA Core Generator for Embedded Classification Systems 161
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator 160
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates 158
Fast convergence of extended Rademacher Complexity bounds 156
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications 153
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property 151
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine 148
A Support Vector Machine Classifier from a Bit-Constrained, Sparse and Localized Hypothesis Space 141
Selecting the hypothesis space for improving the generalization ability of support vector machines 139
Unlabeled Patterns to Tighten Rademacher Complexity Error Bounds for Kernel Classifiers 137
Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression 137
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines 136
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters 134
A Heuristic Approach to Model Selection for Online Support Vector Machines 131
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity 130
Advances in Learning Analytics and Educational Data Mining 130
Machine learning for wear forecasting of naval assets for condition-based maintenance applications 129
Maximal Discrepancy for Support Vector Machines 127
Maximal Discrepancy for Support Vector Machines 127
A Learning Machine with a Bit-Based Hypothesis Space 126
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency 126
Smart underwater wireless sensor networks 123
Long-Term Energy Load Forecasting Using Auto-Regressive and Approximating Support Vector Regression 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
Some Results About the Vapnik-Chervonenkis Entropy and the Rademacher Complexity 118
Rademacher Complexity and Structural Risk Minimization: an Application to Human Gene Expression Datasets 117
A Sustainability Analytics Matlab® Tool to Predict Ship Energy Consumption 114
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 114
In-Sample Model Selection for Trimmed Hinge Loss Support Vector Machine 114
Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic 113
The ‘K’ in K-fold Cross Validation 111
Fully Empirical and Data-Dependent Stability-Based Bounds 111
Test Error Bounds for Classifiers: A Survey of Old and New Results 110
Using Variable Neighborhood Search to Improve the Support Vector Machine Performance in Embedded Automotive Applications 109
Training Computationally Efficient Smartphone-based Human Activity Recognition Models 104
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities 103
Human algorithmic stability and Human Rademacher Complexity 101
Byte The Bullet: Learning on Real-World Computing Architectures 100
In-sample Model Selection for Support Vector Machines 99
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. 98
K–Fold Cross Validation for Error Rate Estimate in Support Vector Machines 97
Shrinkage learning to improve SVM with hints 97
Out-of-Sample Error Estimation: The Blessing of High Dimensionality 94
Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs 88
Human Activity and Motion Disorder Recognition: Towards Smarter Interactive Cognitive Environments 84
Smart Plankton: a new generation of underwater wireless sensor networks 83
Nested Sequential Minimal Optimization for Support Vector Machine 83
A Public Domain Dataset for Human Activity Recognition using Smartphones 81
Structural Risk Minimization and Rademacher Complexity for Regression 80
Learning with Few Bits on Small-Scale Devices: from Regularization to Energy Efficiency 68
Maximal Discrepancy vs. Rademacher Complexity for Error Estimation 66
Totale 6.753
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Categoria #
all - tutte 20.497
article - articoli 6.396
book - libri 0
conference - conferenze 14.101
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 40.994
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021228 0 0 0 0 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
2023/2024298 14 54 9 32 18 48 16 33 3 5 18 48
2024/2025968 33 88 15 57 159 100 109 147 35 36 85 104
2025/2026493 206 40 112 132 3 0 0 0 0 0 0 0
Totale 6.753