Simone Fiori - Citegraph

Author Info

Name	Affiliation	Papers
SIMONE FIORI	Faculty of Engineering, University of Perugia, Polo Didattico e Scientifico del Ternano, Via Pentima bassa, 21, I-05100 Terni, Italy	90
Collaborators	Citations	PageRank
36	494	52.86
Referers	Referees	References
503	771	929

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100771

Publications (90 rows)

Collaborators (36 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Manifold Calculus in System Theory and Control-Second Order Structures and Systems	0	0.34	2022
A comprehensive comparison of algorithms for the statistical modelling of non-monotone relationships via isotonic regression of transformed data.	0	0.34	2019
Robust averaging of covariances for eeg recordings classification in motor imagery brain-computer interfaces	0	0.34	2017
An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling.	2	0.38	2017
Tangent-Bundle Maps on the Grassmann Manifold: Application to Empirical Arithmetic Averaging	1	0.37	2015
Auto-Regressive Moving Average Models on Complex-Valued Matrix Lie Groups	2	0.39	2014
Mixed maps for learning a Kolmogoroff-Nagumo-type average element on the compact Stiefel manifold	1	0.36	2014
A two-dimensional Poisson equation formulation of non-parametric statistical non-linear modeling	0	0.34	2014
An isotonic trivariate statistical regression method	0	0.34	2013
Fast statistical regression in presence of a dominant independent variable.	4	0.46	2013
Mixed Maps for Kolmogoroff-Nagumo-Type Averaging on the Compact Stiefel Manifold	0	0.34	2013
Empirical Arithmetic Averaging Over the Compact Stiefel Manifold	19	0.86	2013
Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects	4	0.43	2012
A comparison of two algorithmic recipes to parametrize rectangular orthogonal matrices	0	0.34	2012
Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects	10	0.57	2011
Visualization of Riemannian-manifold-valued elements by multidimensional scaling	5	0.48	2011
Riemannian-gradient-based learning on the complex matrix-hypersphere.	0	0.34	2011
A closed-form solution to the problem of averaging over the lie group of special orthogonal matrices	1	0.36	2010
Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds.	7	0.63	2010
A Pseudo-Riemannian-Gradient Approach To The Least-Squares Problem On The Real Symplectic Group	0	0.34	2010
Least-Squares on the Real Symplectic Group	0	0.34	2010
Learning averages over the lie group of unitary matrices	0	0.34	2009
Computation of the Frechet mean, variance and interpolation for a pool of neural networks over the manifold of special orthogonal matrices	0	0.34	2009
Learning-Machines-Committee Averages Over The Unitary Group Of Matrices	0	0.34	2009
Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices	16	0.92	2009
An algorithm to compute averages on matrix Lie groups	27	1.75	2009
Learning averages over the lie group of symmetric positive-definite matrices	0	0.34	2009
On vector averaging over the unit hypersphere	11	0.82	2009
Geodesic-based and projection-based neural blind deconvolution algorithms	8	0.71	2008
Descent methods for optimization on homogeneous manifolds	9	0.70	2008
An averaging method for a committee of special-orthogonal-group machines	0	0.34	2008
Engineering of intelligent systems (ICEIS 2006).	0	0.34	2008
Lie-group-type neural system learning by manifold retractions.	12	0.82	2008
Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks	1	0.40	2008
Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm	0	0.34	2008
Asymmetric variate generation via a parameterless dual neural learning algorithm	1	0.37	2008
A study on neural learning on manifold foliations: the case of the Lie group SU(3).	11	0.76	2008
Leap-frog-type learning algorithms over the Lie group of unitary matrices	7	0.67	2008
Neural systems with numerically matched input-output statistic: isotonic bivariate statistical modeling	3	0.54	2007
Learning independent components on the orthogonal group of matrices by retractions	4	0.50	2007
Neural learning algorithms based on mappings: the case of the unitary group of matrices	0	0.34	2007
Fixed-point neural independent component analysis algorithms on the orthogonal group	4	0.61	2006
Blind adaptation of stable discrete-time IIR filters in state-space form	4	0.49	2006
Neural Systems with Numerically-Matched Input---Output Statistic: Variate Generation	5	0.82	2006
Simultaneous Tracking of the Best Basis in Reduced-Rank Wiener Filter	7	0.65	2006
Formulation and integration of learning differential equations on the stiefel manifold.	9	0.76	2005
Geometrical methods in neural networks and learning	10	0.86	2005
Fast fixed-point neural blind-deconvolution algorithm	21	1.45	2004
Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization	6	0.58	2004
One-unit ‘rigid-bodies’ learning rule for principal/independent component analysis with application to ECT-NDE signal processing	3	0.51	2004

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