Simone G. O. Fiori

131 papers B 10C 5Misc 7Journal 88Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Discrete-Time Dynamical Systems on Structured State Spaces: State-Transition Laws in Finite-Dimensional Lie Algebras.
Symmetry
Simone G. O. Fiori
2024 J jnl
Lie-group modeling and simulation of a spherical robot, actuated by a yoke-pendulum system, rolling over a flat surface without slipping.
Robotics Auton. Syst.
Simone G. O. Fiori
2023 J jnl
Maximum Convergence Rate Control of a Switched Electrical Network with Symmetries.
Symmetry
Simone G. O. Fiori, Luca Ciaramicoli, Giovanni Berluti
2022 J jnl
Manifold Calculus in System Theory and Control - Second Order Structures and Systems.
Symmetry
Simone G. O. Fiori
2022 J jnl
Virtual Attractive-Repulsive Potentials Control Theory: A Review and an Extension to Riemannian Manifolds.
Symmetry
Luca Bigelli, Federico Polenta, Simone G. O. Fiori
2021 J jnl
Extension of PID Regulators to Dynamical Systems on Smooth Manifolds (M-PID).
SIAM J. Control. Optim.
Simone G. O. Fiori
2021 J jnl
Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis.
Comput.
Simone G. O. Fiori
2021 J jnl
Manifold Calculus in System Theory and Control - Fundamentals and First-Order Systems.
Symmetry
Simone G. O. Fiori
2020 J jnl
A Control-Theoretic Approach to the Synchronization of Second-Order Continuous-Time Dynamical Systems on Real Connected Riemannian Manifolds.
SIAM J. Control. Optim.
Simone G. O. Fiori
2020 J jnl
Gradient-based Learning Methods Extended to Smooth Manifolds Applied to Automated Clustering.
J. Artif. Intell. Res.
Alkis Koudounas, Simone G. O. Fiori
2019 J jnl
A Closed-Form Expression of the Instantaneous Rotational Lurch Index to Evaluate Its Numerical Approximation.
Symmetry
Simone G. O. Fiori
2019 J jnl
A comprehensive comparison of algorithms for the statistical modelling of non-monotone relationships via isotonic regression of transformed data.
Int. J. Data Anal. Tech. Strateg.
Simone G. O. Fiori
2019 J jnl
Glomerular Filtration Rate Estimation by a Novel Numerical Binning-Less Isotonic Statistical Bivariate Numerical Modeling Method.
Inf.
Sebastian Nicolas Giles, Simone G. O. Fiori
2019 J jnl
Statistical Modeling of Trivariate Static Systems: Isotonic Models.
Data
Simone G. O. Fiori, Andrea Vitali
2018 J jnl
A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment.
Inf.
Andrea Civita, Simone G. O. Fiori, Giuseppe Romani
2018 J jnl
Generalized Gaussian Kernel Adaptive Filtering.
CoRR
Tomoya Wada, Kosuke Fukumori, Toshihisa Tanaka, Simone G. O. Fiori
2018 J jnl
Smooth statistical modeling of bivariate non-monotonic data by a three-stage LUT neural system.
Neural Comput. Appl.
Simone G. O. Fiori, Nicola Fioranelli
2017 J jnl
An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling.
Entropy
Simone G. O. Fiori, Ruben Di Filippo
2017 J jnl
Nonlinear damped oscillators on Riemannian manifolds: Numerical simulation.
Commun. Nonlinear Sci. Numer. Simul.
Simone G. O. Fiori
2017 J jnl
Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces.
Neural Comput.
Takashi Uehara, Matteo Sartori, Toshihisa Tanaka, Simone G. O. Fiori
2016 J jnl
A Riemannian steepest descent approach over the inhomogeneous symplectic group: Application to the averaging of linear optical systems.
Appl. Math. Comput.
Simone G. O. Fiori
2016 J jnl
Nonlinear damped oscillators on Riemannian manifolds: Fundamentals.
J. Syst. Sci. Complex.
Simone G. O. Fiori
2015 J jnl
A Smartphone-Based Acquisition System for Hips Rotation Fluency Assessment.
CoRR
Andrea Civita, Simone G. O. Fiori, Giuseppe Romani
2015 J jnl
Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System.
Cogn. Comput.
Simone G. O. Fiori, Tianxia Gong, Hwee Kuan Lee
2015 J jnl
Kolmogoroff-Nagumo mean over the affine symplectic group of matrices.
Appl. Math. Comput.
Simone G. O. Fiori
2015 J jnl
Tangent-Bundle Maps on the Grassmann Manifold: Application to Empirical Arithmetic Averaging.
IEEE Trans. Signal Process.
Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka
2014 J jnl
A two-dimensional Poisson equation formulation of non-parametric statistical non-linear modeling.
Comput. Math. Appl.
Simone G. O. Fiori
2014 J jnl
Auto-Regressive Moving Average Models on Complex-Valued Matrix Lie Groups.
Circuits Syst. Signal Process.
Simone G. O. Fiori
2014 Misc conf
Mixed maps for learning a Kolmogoroff-Nagumo-type average element on the compact Stiefel manifold.
ICASSP
Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka
2013 J jnl
An isotonic trivariate statistical regression method.
Adv. Data Anal. Classif.
Simone G. O. Fiori
2013 J jnl
Empirical Arithmetic Averaging Over the Compact Stiefel Manifold.
IEEE Trans. Signal Process.
Tetsuya Kaneko, Simone G. O. Fiori, Toshihisa Tanaka
2013 J jnl
Fast statistical regression in presence of a dominant independent variable.
Neural Comput. Appl.
Simone G. O. Fiori
2013 J jnl
Mixed Maps for Kolmogoroff-Nagumo-Type Averaging on the Compact Stiefel Manifold
CoRR
Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka
2013 — conf
Random Clouds on Matrix Lie Groups.
GSI
Simone G. O. Fiori
2012 — conf
A comparison of two algorithmic recipes to parametrize rectangular orthogonal matrices.
APSIPA
Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka
2012 Misc conf
A method to compute averages over the compact Stiefel manifold.
ICASSP
Tetsuya Kaneko, Toshihisa Tanaka, Simone G. O. Fiori
2012 J jnl
Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects.
IEEE Trans. Neural Networks Learn. Syst.
Simone G. O. Fiori
2012 B conf
Learning on the compact Stiefel manifold by a cayley-transform-based pseudo-retraction map.
IJCNN
Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka
2011 J jnl
Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2011 J jnl
Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2011 J jnl
Solving Minimal-Distance Problems over the Manifold of Real-Symplectic Matrices.
SIAM J. Matrix Anal. Appl.
Simone G. O. Fiori
2011 — conf
Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks.
ICONIP (3)
Simone G. O. Fiori
2011 J jnl
Visualization of Riemannian-manifold-valued elements by multidimensional scaling.
Neurocomputing
Simone G. O. Fiori
2010 — conf
A Closed-Form Solution to the Problem of Averaging over the Lie Group of Special Orthogonal Matrices.
ISNN (1)
Simone G. O. Fiori
2010 Misc conf
A pseudo-Riemannian-gradient approach to the least-squares problem on the real symplectic group.
ICASSP
Simone G. O. Fiori
2010 J jnl
Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2009 J jnl
An algorithm to compute averages on matrix Lie groups.
IEEE Trans. Signal Process.
Simone G. O. Fiori, Toshihisa Tanaka
2009 J jnl
Computation of the Frechet mean, variance and interpolation for a pool of neural networks over the manifold of special orthogonal matrices.
Int. J. Comput. Intell. Stud.
Simone G. O. Fiori
2009 B conf
Learning averages over the lie group of symmetric positive-definite matrices.
IJCNN
Simone G. O. Fiori, Toshihisa Tanaka
2009 B conf
Learning averages over the lie group of unitary matrices.
IJCNN
Simone G. O. Fiori
2009 J jnl
Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices.
Cogn. Comput.
Simone G. O. Fiori
2009 C conf
Learning-machines-committee Averages over the Unitary Group of Matrices.
ISCAS
Simone G. O. Fiori, Toshihisa Tanaka
2009 J jnl
On vector averaging over the unit hypersphere.
Digit. Signal Process.
Simone G. O. Fiori
2008 J jnl
A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group
Neural Comput.
Simone G. O. Fiori
2008 C conf
An averaging method for a committee of special-orthogonal-group machines.
ISCAS
Simone G. O. Fiori, Toshihisa Tanaka
2008 J jnl
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm.
Comput. Intell. Neurosci.
Simone G. O. Fiori
2008 J jnl
Descent methods for optimization on homogeneous manifolds.
Math. Comput. Simul.
Elena Celledoni, Simone G. O. Fiori
2008 J jnl
Engineering of intelligent systems (ICEIS 2006).
Neurocomputing
Amir Hussain, Simone G. O. Fiori, Ijaz Mansoor Qureshi, Tariq S. Durrani, Muhammad Mansoor Ahmed, K. Fukushima
2008 B conf
Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks.
IJCNN
Simone G. O. Fiori
2008 J jnl
Geodesic-based and projection-based neural blind deconvolution algorithms.
Signal Process.
Simone G. O. Fiori
2008 J jnl
Leap-frog-type learning algorithms over the Lie group of unitary matrices.
Neurocomputing
Simone G. O. Fiori
2008 J jnl
Learning by Criterion Optimization on a Unitary Unimodular Matrix Group.
Int. J. Neural Syst.
Simone G. O. Fiori
2008 B conf
Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm.
IJCNN
Simone G. O. Fiori
2008 J jnl
Lie-group-type neural system learning by manifold retractions.
Neural Networks
Simone G. O. Fiori
2007 J jnl
Learning independent components on the orthogonal group of matrices by retractions.
Neural Process. Lett.
Simone G. O. Fiori
2007 — conf
Least Squares Approximate Joint Diagonalization on the Orthogonal Group.
ICASSP (2)
Toshihisa Tanaka, Simone G. O. Fiori
2007 — conf
Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices.
ICANN (1)
Simone G. O. Fiori
2007 C conf
Neural Learning by Retractions on Manifolds.
ISCAS
Simone G. O. Fiori
2007 J jnl
Neural Systems with Numerically Matched Input-Output Statistic: Isotonic Bivariate Statistical Modeling.
Comput. Intell. Neurosci.
Simone G. O. Fiori
2006 J jnl
Blind adaptation of stable discrete-time IIR filters in state-space form.
IEEE Trans. Signal Process.
Simone G. O. Fiori
2006 J jnl
Fixed-point neural independent component analysis algorithms on the orthogonal group.
Future Gener. Comput. Syst.
Simone G. O. Fiori
2006 J jnl
Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation.
Neural Process. Lett.
Simone G. O. Fiori
2006 — conf
Simultaneous Tracking of the Best Basis in Reduced-Rank Wiener Filter.
ICASSP (3)
Toshihisa Tanaka, Simone G. O. Fiori
2005 J jnl
Formulation and integration of learning differential equations on the stiefel manifold.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2005 J jnl
Geometrical methods in neural networks and learning.
Neurocomputing
Simone G. O. Fiori, Shun-ichi Amari
2005 J jnl
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay.
Neural Comput.
Simone G. O. Fiori
2005 J jnl
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial.
J. Mach. Learn. Res.
Simone G. O. Fiori
2004 J jnl
Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization.
IEEE Trans. Circuits Syst. I Regul. Pap.
Simone G. O. Fiori
2004 J jnl
Fast fixed-point neural blind-deconvolution algorithm.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2004 J jnl
One-unit 'rigid-bodies' learning rule for principal/independent component analysis with application to ECT-NDE signal processing.
Neurocomputing
Simone G. O. Fiori, Pietro Burrascano
2004 — conf
Optical Flow Estimation via Neural Singular Value Decomposition Learning.
ICCSA (2)
Simone G. O. Fiori, Nicoletta Del Buono, Tiziano Politi
2004 J jnl
Relative uncertainty learning theory: an essay.
Int. J. Neural Syst.
Simone G. O. Fiori
2003 J jnl
A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis.
Neurocomputing
Luciano Albini, Pietro Burrascano, Simone G. O. Fiori
2003 J jnl
An improved sequential method for principal component analysis.
Pattern Recognit. Lett.
Ze Wang, Yin Lee, Simone G. O. Fiori, Andrew Chi-Sing Leung, Yisheng Zhu
2003 J jnl
Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons.
Neural Comput.
Simone G. O. Fiori
2003 J jnl
Neural independent component analysis by "maximum-mismatch" learning principle.
Neural Networks
Simone G. O. Fiori
2003 J jnl
Nonsymmetric PDF estimation by artificial neurons: application to statistical characterization of reinforced composites.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2003 J jnl
Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing.
Neural Networks
Simone G. O. Fiori
2003 J jnl
Singular Value Decomposition Learning on Double Stiefel Manifold.
Int. J. Neural Syst.
Simone G. O. Fiori
2003 J jnl
Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA.
Int. J. Neural Syst.
Simone G. O. Fiori, Roberto Rossi
2002 J jnl
A Minor Subspace Algorithm Based on Neural Stiefel Dynamics.
Int. J. Neural Syst.
Simone G. O. Fiori
2002 J jnl
A theory for learning based on rigid bodies dynamics.
IEEE Trans. Neural Networks
Simone G. O. Fiori
2002 J jnl
Blind deconvolution by simple adaptive activation function neuron.
Neurocomputing
Simone G. O. Fiori
2002 — conf
Blind electromagnetic source separation and localization.
ISCAS (1)
Simone G. O. Fiori, Pietro Burrascano
2002 J jnl
Complex Weighted One Unit 8216 Rigid Bodies 8217 Learning Rule for Independent Component Analysis.
Neural Process. Lett.
Simone G. O. Fiori
2002 J jnl
Hybrid independent component analysis by adaptive LUT activation function neurons.
Neural Networks
Simone G. O. Fiori
2002 — conf
Nonsymmetric PDF approximation by artificial neurons: application to statistical characterization of reinforced composites.
ISCAS (3)
Simone G. O. Fiori, Pietro Burrascano
2002 J jnl
Notes on Bell-Sejnowski PDF-Matching Neuron.
Neural Comput.
Simone G. O. Fiori
2002 J jnl
Notes on cost functions and estimators for 'Bussgang' adaptive blind equalization.
Eur. Trans. Telecommun.
Simone G. O. Fiori
2002 J jnl
Unsupervised Neural Learning on Lie Group.
Int. J. Neural Syst.
Simone G. O. Fiori
2001 J jnl
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold.
Neural Comput.
Simone G. O. Fiori
2001 J jnl
A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation.
Signal Process.
Simone G. O. Fiori
2001 J jnl
Image compression using principal component neural networks.
Image Vis. Comput.
Saverio Costa, Simone G. O. Fiori
2001 J jnl
On blind separation of complex-valued sources by extended Hebbian learning.
IEEE Signal Process. Lett.
Simone G. O. Fiori
2001 J jnl
Probability Density Estimation Using Adaptive Activation Function Neurons.
Neural Process. Lett.
Simone G. O. Fiori, Paolo Bucciarelli
2001 J jnl
Probability Density Function Learning by Unsupervised Neurons.
Int. J. Neural Syst.
Simone G. O. Fiori
2001 — conf
Topics in Blind Signal Processing by Neural Networks.
WIRN
Simone G. O. Fiori
2000 — conf
A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion.
IJCNN (5)
Simone G. O. Fiori, Pietro Burrascano
2000 J jnl
An Experimental Comparison of Three PCA Neural Networks.
Neural Process. Lett.
Simone G. O. Fiori
2000 J jnl
Blind separation of circularly distributed sources by neural extended APEX algorithm.
Neurocomputing
Simone G. O. Fiori
2000 J jnl
Blind signal processing by the adaptive activation function neurons.
Neural Networks
Simone G. O. Fiori
2000 — conf
Improved psi-APEX Algorithm for Digital Image Compression.
IJCNN (3)
Simone G. O. Fiori, Saverio Costa, Pietro Burrascano
2000 C conf
Neural MCA for robust beamforming.
ISCAS
Simone G. O. Fiori, Francesco Piazza
2000 — conf
Non-Destructive Test by the Hopfield Network.
IJCNN (6)
S. Barcherini, L. Cipiccia, M. Maggi, Simone G. O. Fiori, Pietro Burrascano
2000 — conf
Stiefel-Grassman Flow (SGF) Learning: Further Results.
IJCNN (3)
Simone G. O. Fiori
1999 B conf
'Mechanical' neural learning and InfoMax orthonormal independent component analysis.
IJCNN
Simone G. O. Fiori, Pietro Burrascano
1999 B conf
A comparison of three PCA neural techniques.
ESANN
Simone G. O. Fiori, Francesco Piazza
1999 — conf
A second-order differential system for orthonormal optimization.
ISCAS (5)
Simone G. O. Fiori, Francesco Piazza
1999 — conf
An efficient architecture for independent component analysis.
ISCAS (5)
Simone G. O. Fiori, Paola Baldassarri, Francesco Piazza
1999 B conf
Analytical results on pseudo-polynomial functional-link neural units for blind density shaping.
IJCNN
Simone G. O. Fiori, Pietro Burrascano
1999 — conf
Blind deconvolution by modified Bussgang algorithm.
ISCAS (3)
Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1999 B conf
Classification of eddy current NDT data by probabilistic neural networks.
IJCNN
M. Angeli, Pietro Burrascano, Ermanno Cardelli, Simone G. O. Fiori, S. Resteghini
1999 Misc conf
Complex independent component analysis by nonlinear generalized Hebbian learning with Rayleigh nonlinearity.
ICASSP
Eraldo Pomponi, Simone G. O. Fiori, Francesco Piazza
1999 — conf
Neural blind separation of complex sources by extended APEX algorithm (EAPEX).
ISCAS (5)
Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1999 — conf
Neural blind separation of complex sources by extended Hebbian learning (EGHA).
ISCAS (5)
Simone G. O. Fiori, Francesco Piazza
1999 B conf
Non-uniform image sampling for robot motion control by the GFS neural algorithm.
IJCNN
Simone G. O. Fiori, Alessandro Faustini, Pietro Burrascano
1999 Misc conf
Weighted least-squares blind deconvolution.
ICASSP
Simone G. O. Fiori, Francesco Piazza
1998 — conf
A unified approach to laterally-connected neural NETS.
EUSIPCO
Simone G. O. Fiori, Aurelio Uncini
1997 Misc conf
A new IIR-MLP learning algorithm for on-line signal processing.
ICASSP
Paolo Campolucci, Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza
1997 Misc conf
A new unsupervised neural learning rule for orthonormal signal processing.
ICASSP
Simone G. O. Fiori, Paolo Campolucci, Aurelio Uncini, Francesco Piazza
1997 C conf
Application of the MEC Network to Principal Component Analysis and Source Separation.
ICANN
Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza