ROSASCO, LORENZO
 Distribuzione geografica
Continente #
EU - Europa 15.250
AS - Asia 839
SA - Sud America 130
NA - Nord America 107
AF - Africa 13
Totale 16.339
Nazione #
IT - Italia 15.219
SG - Singapore 330
CN - Cina 259
VN - Vietnam 184
US - Stati Uniti d'America 90
BR - Brasile 81
AR - Argentina 25
HK - Hong Kong 14
ID - Indonesia 10
RU - Federazione Russa 10
BD - Bangladesh 9
MX - Messico 9
EC - Ecuador 6
IN - India 6
IQ - Iraq 6
ZA - Sudafrica 6
CO - Colombia 5
CL - Cile 4
PH - Filippine 4
PY - Paraguay 4
AL - Albania 3
GB - Regno Unito 3
NP - Nepal 3
PK - Pakistan 3
TW - Taiwan 3
UY - Uruguay 3
CA - Canada 2
CR - Costa Rica 2
DE - Germania 2
DO - Repubblica Dominicana 2
MA - Marocco 2
NL - Olanda 2
PE - Perù 2
SI - Slovenia 2
AT - Austria 1
AZ - Azerbaigian 1
BH - Bahrain 1
DZ - Algeria 1
EE - Estonia 1
ET - Etiopia 1
FR - Francia 1
GH - Ghana 1
HR - Croazia 1
IE - Irlanda 1
IL - Israele 1
JO - Giordania 1
KG - Kirghizistan 1
LB - Libano 1
LU - Lussemburgo 1
MU - Mauritius 1
NI - Nicaragua 1
NO - Norvegia 1
PA - Panama 1
PL - Polonia 1
PS - Palestinian Territory 1
SE - Svezia 1
TN - Tunisia 1
UZ - Uzbekistan 1
Totale 16.339
Città #
Genova 6.711
Genoa 5.562
Rapallo 1.449
Vado Ligure 1.418
Singapore 117
Beijing 79
Ho Chi Minh City 76
Bordighera 64
Ashburn 42
Hanoi 42
Hong Kong 14
São Paulo 9
Tianjin 8
Da Nang 6
Mexico City 6
New York 6
Boardman 5
Guangzhou 5
Guayaquil 5
Haiphong 5
Los Angeles 5
Bắc Ninh 4
Hải Dương 4
Lấp Vò 4
Milan 4
Orem 4
Baghdad 3
Biên Hòa 3
Bogotá 3
Can Tho 3
Ha Long 3
Pavia 3
Porto Alegre 3
Rio de Janeiro 3
San Jose 3
Taipei 3
Asunción 2
Boston 2
Bragança 2
Brasília 2
Denver 2
Dhaka 2
Hortolândia 2
Houston 2
Imperia 2
Jinan 2
Johannesburg 2
Kathmandu 2
Lanús 2
Manila 2
Nasiriyah 2
Ninh Bình 2
Phú Thọ 2
Quanzhou 2
Querétaro 2
Rome 2
Rostov-on-Don 2
Santo André 2
Shanghai 2
Subang 2
Thái Bình 2
Thái Nguyên 2
Tirana 2
Villa Ballester 2
Accra 1
Addis Ababa 1
Alajuela 1
Alfenas 1
Altamira 1
Amman 1
Amsterdam 1
Araraquara 1
Araucária 1
Araçatuba 1
Arcoverde 1
Atibaia 1
Baku 1
Balakovo 1
Bandung 1
Barranquilla 1
Barretos 1
Beau Bassin-Rose Hill 1
Bebedouro 1
Belford Roxo 1
Belém 1
Belén 1
Beni Mellal 1
Berazategui 1
Betim 1
Bishkek 1
Brandenburg 1
Buenos Aires 1
Buin 1
Cajazeiras 1
Camboriú 1
Candeias 1
Cape Town 1
Carapicuíba 1
Caruaru 1
Cerquilho 1
Totale 15.776
Nome #
A Biology-driven Approach Identifies the Hypoxia Gene Signature as a Predictor of the Outcome of Neuroblastoma Patients 233
Characterizing the input-output function of the olfactory-limbic pathway in the guinea pig 217
Physics informed machine learning for wind speed prediction 212
Are Loss Functions All the Same? 201
iCub World: friendly robots help building good vision data-sets. 200
Incremental robot learning of new objects with fixed update time 185
A First-Order Stochastic Primal-Dual Algorithm with Correction Step 177
Active perception: Building objects' models using tactile exploration 176
Consistency of Learning Algorithms Using Attouch–Wets Convergence 174
Specific gene expression signatures of low-grade gliomas (LGG) 169
A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions 168
Adaptive Kernel Methods via the Balancing Principle 167
A Regularization Approach to Nonlinear Variable Selection 164
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups 160
Teaching iCub to recognize objects using deep convolutional neural networks 160
Finding structured gene signatures 158
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives 158
Elastic net regularization in learning theory 155
Learning multiple visual tasks while discovering their structure 155
Towards a theoretical framework for learning multi-modal patterns for embodied agents 153
Vector Field Learning via Spectral Filtering 150
Kernels for Vector-Valued Functions: A Review 146
On-line object detection: a robotics challenge 146
Learning from Examples as an Inverse Problem 144
Multiscale Geometric Methods for Data Sets I: Multiscale SVD, Noise and Curvature 143
Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics 142
Dimensionality Reduction and Generalization 141
Unsupervised learning of invariant representations 141
Multi-Output Learning via Spectral Filtering 137
Solving Structured Sparsity Regularization with Proximal Methods 137
Sparsity in Learning Theory 135
A Method for Robust Variable Selection with Significance Assessment 134
Proximal methods for the latent group lasso penalty 134
Consistent Multitask Learning with Nonlinear Output Relations 134
A Note on Perturbation Results for Learning Empirical Operators 133
Incremental semiparametric inverse dynamics learning 133
Less is more: Nyström computational regularization 132
Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network 132
Model selection for regularized least-squares algorithm in learning theory 130
Sparse multiple kernel learning: Support identification via mirror stratifiability 130
Identification of Multiple Hypoxia Signatures in Neuroblastoma Cell Lines by l1-l2 Regularization and Data Reduction 129
Are we done with object recognition? The iCub robot's perspective 128
Convergence of Stochastic Proximal Gradient Algorithm 128
Symmetry-adapted representation learning 128
Spectral Algorithms for Supervised Learning 126
Stochastic Forward---Backward Splitting for Monotone Inclusions 125
Modified Fejér sequences and applications 124
Interactive data collection for deep learning object detectors on humanoid robots 124
Constrained DMPs for Feasible Skill Learning on Humanoid Robots 124
Discretization error analysis for Tikhonov regularization 122
Mathematics of the Neural Response 121
Generalization Properties of Learning with Random Features 121
Deep Convolutional Networks are Hierarchical Kernel Machines 120
FALKON: An Optimal Large Scale Kernel Method 120
Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods 120
Analysis of Elastic-Net Regularization 118
Combining l1-l2 regularization with biological prior for multi-level hypoxia signature in Neuroblastoma 118
Clinical Evaluation of a (1,3)- -D-Glucan Assay for Presumptive Diagnosis of Pneumocystis jiroveci Pneumonia in Immunocompromised Patients 118
NYTRO: When Subsampling Meets Early Stopping 116
Why and When Can Deep – but Not Shallow – Networks Avoid the Curse of Dimensionality: a Review 114
Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex 113
Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces 113
Efficient Unsupervised Learning for Plankton Images 112
On Regularization Algorithms in Learning Theory 112
On Early Stopping in Gradient Descent Learning 110
On Invariance in Hierarchical Models 110
Iterative regularization for low complexity regularizers 109
On learning the optimal regularization parameter in inverse problems 109
Theory of Deep Learning III: explaining the non-overfitting puzzle 109
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots 109
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review 108
Is There Sparsity Beyond Additive Models? 108
Nonparametric Sparsity and Regularization 107
A Consistent Regularization Approach for Structured Prediction 106
On the impact of learning hierarchical representations for visual recognition in robotics 106
Learning to predict target location with turbulent odor plumes 104
Some Recent Advances in Multiscale Geometric Analysis of Point CloudsWavelets and Multiscale Analysis 104
Fast Object Segmentation Learning with Kernel-based Methods for Robotics 104
Some Properties of Regularized Kernel Methods 102
Iterative Regularization via Dual Diagonal Descent 101
Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel 101
The l1-l2 Regularization Framework Unmasks the Hypoxia Signature Hidden in the Transcriptome of a Set of Heterogenous Neuroblastoma Cell Lines 100
On Fast Leverage Score Sampling and Optimal Learning 100
Learning sets with separating kernels 98
I-theory on depth vs width: hierarchical function composition 98
Generalization properties and implicit regularization for multiple passes SGM 97
Hyperbolic Manifold Regression 96
On the sample complexity of subspace learning 94
Learning with SGD and Random Features 94
Exploiting global force torque measurements for local compliance estimation in tactile arrays2014 IEEE/RSJ International Conference on Intelligent Robots and Systems 92
Learning with incremental iterative regularization 92
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry 92
Speeding-up Object Detection Training for Robotics with FALKON 91
On Learning with Integral Operators 90
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification 89
Learning to Avoid Obstacles With Minimal Intervention Control 89
Zeroth order optimization with orthogonal random directions 88
Spectral Regularization for Support Estimation. 88
Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders 88
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings 88
Totale 12.761
Categoria #
all - tutte 56.562
article - articoli 26.813
book - libri 422
conference - conferenze 22.777
curatela - curatele 0
other - altro 1.202
patent - brevetti 0
selected - selezionate 0
volume - volumi 5.348
Totale 113.124


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021595 0 0 0 0 0 75 42 64 89 105 92 128
2021/20221.411 40 95 63 134 58 112 102 318 116 131 60 182
2022/20231.818 133 106 27 173 167 254 184 104 307 47 242 74
2023/20241.353 61 140 158 126 83 168 100 205 63 58 35 156
2024/20253.601 90 260 140 278 388 380 345 570 193 128 392 437
2025/20262.980 799 190 515 495 782 199 0 0 0 0 0 0
Totale 16.802