FIORI, Simone
 Distribuzione geografica
Continente #
NA - Nord America 6.358
EU - Europa 3.131
AS - Asia 778
AF - Africa 6
Continente sconosciuto - Info sul continente non disponibili 6
OC - Oceania 3
Totale 10.282
Nazione #
US - Stati Uniti d'America 6.349
UA - Ucraina 890
IE - Irlanda 598
DE - Germania 400
DK - Danimarca 333
TR - Turchia 296
SE - Svezia 281
IT - Italia 251
FI - Finlandia 187
KR - Corea 172
SG - Singapore 169
GB - Regno Unito 125
CN - Cina 65
BE - Belgio 37
HK - Hong Kong 29
IN - India 25
JP - Giappone 16
FR - Francia 11
CA - Canada 9
EU - Europa 6
DZ - Algeria 4
AU - Australia 3
BG - Bulgaria 3
VN - Vietnam 3
CH - Svizzera 2
CZ - Repubblica Ceca 2
HR - Croazia 2
PL - Polonia 2
AE - Emirati Arabi Uniti 1
AT - Austria 1
BD - Bangladesh 1
ES - Italia 1
HU - Ungheria 1
IL - Israele 1
LT - Lituania 1
MA - Marocco 1
MD - Moldavia 1
PT - Portogallo 1
RU - Federazione Russa 1
ZA - Sudafrica 1
Totale 10.282
Città #
Jacksonville 922
Fairfield 625
Dublin 598
Chandler 561
Des Moines 535
Ashburn 416
Wilmington 359
Woodbridge 309
Houston 265
Boardman 264
Seattle 255
New York 236
Cambridge 225
Lawrence 198
Princeton 198
San Mateo 185
Ann Arbor 165
Centro 89
San Diego 73
Brussels 37
Hong Kong 28
London 23
Pune 23
Turin 22
Beijing 18
Helsinki 17
Washington 15
Nanjing 13
Norwalk 9
Florence 8
Prescot 7
Chiaravalle 6
Frankfurt am Main 6
Kilburn 6
Milan 6
Acton 5
Auburn Hills 5
Mountain View 5
Ottawa 5
Chiswick 4
Civitanova Marche 4
Hefei 4
Jesi 4
Laurelton 4
Nanchang 4
Paris 4
San Giorgio A Cremano 4
San Marcello 4
Shenyang 4
Tokyo 4
Trinitapoli 4
Ancona 3
Central 3
Corridonia 3
Cuneo 3
Hanoi 3
Kunming 3
Los Angeles 3
Macerata 3
Montecchio 3
Needham 3
Osimo 3
Ripe 3
Rome 3
Salerno 3
Simi Valley 3
Stuttgart 3
Albany 2
Bologna 2
Brdo 2
Chicago 2
Collégien 2
Copenhagen 2
Edinburgh 2
Fuzhou 2
Guangzhou 2
Hachiōji 2
Jinan 2
Monte Roberto 2
Munich 2
Quzhou 2
Regina 2
Saint-Fons 2
Sassoferrato 2
Senigallia 2
Singapore 2
Sofia 2
Varaždin 2
Apricena 1
Atlanta 1
Bari 1
Batna 1
Beaverton 1
Bethesda 1
Biella 1
Brescia 1
Bristol 1
Budapest 1
Bydgoszcz 1
Castelplanio 1
Totale 6.892
Nome #
Minimal control effort and time Lie-group synchronisation design based on proportional-derivative control 135
Gradient-based learning methods extended to smooth manifolds applied to automated clustering 103
An Introductory Tutorial on Brain–Computer Interfaces and Their Applications 99
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm 87
Neural Systems with Numerically-Matched Input-Output Statistic: Isotonic Bivariate Statistical Modeling 86
Hybrid Independent Component Analysis by Adaptive LUT Activation Function Neurons 86
A Study on Neural Learning on Manifold Foliations: The case of the Lie Group SU(3) 85
Extension of a PID control theory to Lie groups applied to synchronising satellites and drones 85
Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects 85
Learning by Natural Gradient on Noncompact Matrix-type Pseudo-Riemannian Manifolds 83
Neural MCA for Robust Beamforming 81
A Method to Compute Averages over the Compact Stiefel Manifold 80
Non-Linear Complex-Valued Extensions of Hebbian Learning: An Essay 78
One-Unit `Rigid-Bodies' Learning Rule for Principal/Independent Component Analysis with Application to ECT-NDE Signal Processing 78
An Algorithm to Compute Averages on Matrix Lie Groups 78
A Theory for Learning Based on Rigid Bodies Dynamics 78
Learning-machines-committee averages over the unitary group of matrices 75
Formulation and Integration of Learning Differential Equations on the Stiefel Manifold 74
Blind Adaptation of Stable Discrete-Time IIR Filters in State-Space Form 73
Learning by Criterion Optimization on a Unitary Unimodular Matrix Group 73
Relative Uncertainty Learning Theory: An Essay 72
Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation 72
Extended Hebbian Learning for Blind Separation of Complex-Valued Sources 72
A New Unsupervised Neural Learning Rule for Orthonormal Signal Processing 72
Neural Minor Component Analysis Approach to Robust Constrained Beamforming 71
Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices 71
Geodesic-Based and Projection-Based Neural Blind Deconvolution Algorithms 71
A New IIR-MLP Learning Algorithm for On-Line Signal Processing 71
Neural Independent Component Analysis by `Maximum-Mismatch' Learning Principle 70
Fast Fixed-Point Neural Blind Deconvolution Algorithm 70
Nonlinear damped oscillators on Riemannian manifolds: Numerical simulation 70
Analysis of Modified `Bussgang' Algorithms (MBA) for Channel Equalization 69
Digital Signal Processing for Audio Applications: Then, Now and the Future 69
Tangent-Bundle Maps on the Grassmann Manifold: Application to Empirical Arithmetic Averaging 68
Quasi-Geodesic Neural Learning Algorithms over the Orthogonal Group: A Tutorial 67
Editorial: Special issue on ''Geometrical Methods in Neural Networks and Learning'' 67
Blind deconvolution by a Newton method on the non-unitary hypersphere 67
Overview of Independent Component Analysis Technique with an Application to Synthetic Aperture Radar (SAR) Imagery Processing 66
A Comparison of Three PCA Neural Techniques 66
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold 66
A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation 66
Exact low-order polynomial expressions to compute the Kolmogoroff–Nagumo mean in the affine symplectic group of optical transference matrices 66
Empirical means on pseudo-orthogonal groups 65
First order and second order learning algorithms on the special orthogonal group to compute the SVD of data matrices 65
'Mechanical' Neural Learning for Blind Source Separation 65
A two-dimensional Poisson equation formulation of non-parametric statistical non-linear modeling 65
Engineering of Intelligent Systems (Editorial) 64
Learning Independent Components on the Orthogonal Group of Matrices by Retractions 64
A neural network approach to ECT data inversion for materials quality evaluation 64
A pseudo-Riemannian-gradient approach to the least-squares problem on the real symplectic group 64
Neural Learning by Geometric Integration of Reduced `Rigid-Body' Equations 64
Mechanical Properties of Polypropylene Matrix Composites Reinforced with Natural Fibers: A Statistical Approach 63
Information-theoretic learning for FAN network applied to eterokurtic component analysis 63
Empirical Arithmetic Averaging over the Compact Stiefel Manifold 63
Fast closed-form trivariate statistical isotonic modelling 63
Nonlinear Second-Order Dynamical Systems on Riemannian Manifolds 63
A control-theoretic approach to the synchronization of second-order continuous-time dynamical systems on real connected Riemannian manifolds 63
Numerical Modeling for the Localization and the Assessment of Electromagnetic Field Sources 62
A Riemannian-steepest-descent approach for optimization on the real symplectic group 62
Blind Equalization of Communication Channels for Equal Energy Sources: Energy Matching Approach 61
Blind Deconvolution by Simple Adaptive Activation Function Neuron 61
An isotonic trivariate statistical regression method 61
Nonlinear damped oscillators on Riemannian manifolds: Fundamentals 61
Application of the MEC Network to Principal Component Analysis and Source Separation 60
An improved sequential method for principal component analysis 60
A Riemannian steepest descent approach over the inhomogeneous symplectic group: Application to the averaging of linear optical systems 60
Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects 60
Solving Minimal-Distance Problems over the Manifold of Real Symplectic Matrices 59
A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis 59
A closed-form solution to the problem of averaging over the lie group of special orthogonal matrices 59
Model formulation over Lie groups and numerical methods to simulate the motion of gyrostats and quadrotors 59
Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning 59
Complex Independent Component Analysis by Nonlinear Generalized Hebbian Learning with Rayleigh Nonlinearity 58
Kolmogoroff-Nagumo mean over the affine symplectic group of matrices 58
A Second-order Differential System for Orthonormal Optimization 57
Fast statistical regression in presence of a dominant independent variable 57
Least Squares Approximate Joint Diagonalization on the Orthogonal Group 57
Robust averaging of covariances for EEG recordings classification in motor imagery brain-computer interfaces 57
Gyroscopic signal smoothness assessment by geometric jolt estimation 57
An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling 57
Eddy-Current-Based Non-Destructive Evaluation Data Quality Enhancement through Independent Component Analysis 57
A novel non-isotonic statistical bivariate regression method-application to stratigraphic data modeling and interpolation 57
Neural learning algorithms based on mappings: The case of the unitary group of matrices 56
A minor subspace algorithm based on neural Stiefel dynamics. 56
Notes on Bell-Sejnowski PDF-Matching Neuron 56
Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System 56
Extrinsic Geometrical Methods for Neural Blind Deconvolution 55
Mixed maps for learning a Kolmogoroff-Nagumo-type average element on the compact Stiefel manifold 55
A General Class of PSI-APEX PCA Neural Algorithms 55
Blind Intrinsically-Stable 2-Pole IIR Filtering 54
Cost function adaptivity in bussgang filtering 54
Neural System Learning on Complex-Valued Manifolds 54
Learning on the Compact Stiefel Manifold by a Cayley-Transform-Based Pseudo-Retraction Map 54
Blind electromagnetic source separation and localization 53
Auto-regressive moving-average discrete-time dynamical systems and autocorrelation functions on real-valued Riemannian matrix manifolds 53
A New Class of APEX-Like PCA Algorithms 53
An averaging method for a committee of special-orthogonal-group machines 52
Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks 52
Neural network approach to maximum likelihood estimation for eddy-current back-scattering NDE data inversion 52
Auto-Regressive Moving Average Models on Complex-Valued Matrix Lie Groups 52
Totale 6.626
Categoria #
all - tutte 48.165
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 48.165


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/201938 0 0 0 0 0 0 0 0 30 4 3 1
2019/20201.123 1 3 171 21 186 7 186 14 249 1 11 273
2020/20212.801 132 315 312 75 332 176 375 238 233 220 268 125
2021/20221.320 103 256 14 28 3 140 37 97 84 178 71 309
2022/20232.315 251 225 155 127 110 611 1 110 588 14 69 54
2023/20241.355 288 19 64 276 316 312 19 61 0 0 0 0
Totale 10.797