Application of the MEC Network to Principal Component Analysis and Source Separation. - Simone G. O. Fiori; Aurelio Uncini; Francesco Piazza (ICANN, 1997)

A new IIR-MLP learning algorithm for on-line signal processing. - Paolo Campolucci; Simone G. O. Fiori; Aurelio Uncini; Francesco Piazza (ICASSP, 1997)

A new unsupervised neural learning rule for orthonormal signal processing. - Simone G. O. Fiori; Paolo Campolucci; Aurelio Uncini; Francesco Piazza (ICASSP, 1997)

A unified approach to laterally-connected neural NETS. - Simone G. O. Fiori; Aurelio Uncini (EUSIPCO, 1998)

A comparison of three PCA neural techniques. - Simone G. O. Fiori; Francesco Piazza (ESANN, 1999)

Weighted least-squares blind deconvolution. - Simone G. O. Fiori; Francesco Piazza (ICASSP, 1999)

Complex independent component analysis by nonlinear generalized Hebbian learning with Rayleigh nonlinearity. - Eraldo Pomponi; Simone G. O. Fiori; Francesco Piazza (ICASSP, 1999)

Classification of eddy current NDT data by probabilistic neural networks. - M. Angeli; Pietro Burrascano; Ermanno Cardelli; Simone G. O. Fiori; S. Resteghini (IJCNN, 1999)

'Mechanical' neural learning and InfoMax orthonormal independent component analysis. - Simone G. O. Fiori; Pietro Burrascano (IJCNN, 1999)

Analytical results on pseudo-polynomial functional-link neural units for blind density shaping. - Simone G. O. Fiori; Pietro Burrascano (IJCNN, 1999)

Non-uniform image sampling for robot motion control by the GFS neural algorithm. - Simone G. O. Fiori; Alessandro Faustini; Pietro Burrascano (IJCNN, 1999)

An efficient architecture for independent component analysis. - Simone G. O. Fiori; Paola Baldassarri; Francesco Piazza (ISCAS (5), 1999)

Neural blind separation of complex sources by extended Hebbian learning (EGHA). - Simone G. O. Fiori; Francesco Piazza (ISCAS (5), 1999)

A second-order differential system for orthonormal optimization. - Simone G. O. Fiori; Francesco Piazza (ISCAS (5), 1999)

Blind deconvolution by modified Bussgang algorithm. - Simone G. O. Fiori; Aurelio Uncini; Francesco Piazza (ISCAS (3), 1999)

Neural blind separation of complex sources by extended APEX algorithm (EAPEX). - Simone G. O. Fiori; Aurelio Uncini; Francesco Piazza (ISCAS (5), 1999)

Non-Destructive Test by the Hopfield Network. - S. Barcherini; L. Cipiccia; M. Maggi; Simone G. O. Fiori; Pietro Burrascano (IJCNN (6), 2000)

Stiefel-Grassman Flow (SGF) Learning: Further Results. - Simone G. O. Fiori (IJCNN (3), 2000)

A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion. - Simone G. O. Fiori; Pietro Burrascano (IJCNN (5), 2000)

Improved psi-APEX Algorithm for Digital Image Compression. - Simone G. O. Fiori; Saverio Costa; Pietro Burrascano (IJCNN (3), 2000)

Neural MCA for robust beamforming. - Simone G. O. Fiori; Francesco Piazza (ISCAS, 2000)

Blind separation of circularly distributed sources by neural extended APEX algorithm. - Simone G. O. Fiori (Neurocomputing, 2000)

Blind signal processing by the adaptive activation function neurons. - Simone G. O. Fiori (Neural Networks, 2000)

An Experimental Comparison of Three PCA Neural Networks. - Simone G. O. Fiori (Neural Process. Lett., 2000)

Topics in Blind Signal Processing by Neural Networks. - Simone G. O. Fiori (WIRN, 2001)

Probability Density Function Learning by Unsupervised Neurons. - Simone G. O. Fiori (Int. J. Neural Syst., 2001)

Image compression using principal component neural networks. - Saverio Costa; Simone G. O. Fiori (Image Vis. Comput., 2001)

A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold. - Simone G. O. Fiori (Neural Comput., 2001)

Probability Density Estimation Using Adaptive Activation Function Neurons. - Simone G. O. Fiori; Paolo Bucciarelli (Neural Process. Lett., 2001)

A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation. - Simone G. O. Fiori (Signal Process., 2001)

On blind separation of complex-valued sources by extended Hebbian learning. - Simone G. O. Fiori (IEEE Signal Process. Lett., 2001)

Blind electromagnetic source separation and localization. - Simone G. O. Fiori; Pietro Burrascano (ISCAS (1), 2002)

Nonsymmetric PDF approximation by artificial neurons: application to statistical characterization of reinforced composites. - Simone G. O. Fiori; Pietro Burrascano (ISCAS (3), 2002)

Notes on cost functions and estimators for 'Bussgang' adaptive blind equalization. - Simone G. O. Fiori (Eur. Trans. Telecommun., 2002)

Unsupervised Neural Learning on Lie Group. - Simone G. O. Fiori (Int. J. Neural Syst., 2002)

A Minor Subspace Algorithm Based on Neural Stiefel Dynamics. - Simone G. O. Fiori (Int. J. Neural Syst., 2002)

Blind deconvolution by simple adaptive activation function neuron. - Simone G. O. Fiori (Neurocomputing, 2002)

Notes on Bell-Sejnowski PDF-Matching Neuron. - Simone G. O. Fiori (Neural Comput., 2002)

Hybrid independent component analysis by adaptive LUT activation function neurons. - Simone G. O. Fiori (Neural Networks, 2002)

Complex Weighted One Unit 8216 Rigid Bodies 8217 Learning Rule for Independent Component Analysis. - Simone G. O. Fiori (Neural Process. Lett., 2002)

A theory for learning based on rigid bodies dynamics. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2002)

Singular Value Decomposition Learning on Double Stiefel Manifold. - Simone G. O. Fiori (Int. J. Neural Syst., 2003)

Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA. - Simone G. O. Fiori; Roberto Rossi (Int. J. Neural Syst., 2003)

A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis. - Luciano Albini; Pietro Burrascano; Simone G. O. Fiori (Neurocomputing, 2003)

Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons. - Simone G. O. Fiori (Neural Comput., 2003)

Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing. - Simone G. O. Fiori (Neural Networks, 2003)

Neural independent component analysis by "maximum-mismatch" learning principle. - Simone G. O. Fiori (Neural Networks, 2003)

An improved sequential method for principal component analysis. - Ze Wang 018; Yin Lee; Simone G. O. Fiori; Andrew Chi-Sing Leung; Yisheng Zhu (Pattern Recognit. Lett., 2003)

Nonsymmetric PDF estimation by artificial neurons: application to statistical characterization of reinforced composites. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2003)

Optical Flow Estimation via Neural Singular Value Decomposition Learning. - Simone G. O. Fiori; Nicoletta Del Buono; Tiziano Politi (ICCSA (2), 2004)

Relative uncertainty learning theory: an essay. - Simone G. O. Fiori (Int. J. Neural Syst., 2004)

One-unit 'rigid-bodies' learning rule for principal/independent component analysis with application to ECT-NDE signal processing. - Simone G. O. Fiori; Pietro Burrascano (Neurocomputing, 2004)

Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization. - Simone G. O. Fiori (IEEE Trans. Circuits Syst. I Regul. Pap., 2004)

Fast fixed-point neural blind-deconvolution algorithm. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2004)

Geometrical methods in neural networks and learning. - Simone G. O. Fiori; Shun-ichi Amari (Neurocomputing, 2005)

Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial. - Simone G. O. Fiori (J. Mach. Learn. Res., 2005)

Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay. - Simone G. O. Fiori (Neural Comput., 2005)

Formulation and integration of learning differential equations on the stiefel manifold. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2005)

Simultaneous Tracking of the Best Basis in Reduced-Rank Wiener Filter. - Toshihisa Tanaka 001; Simone G. O. Fiori (ICASSP (3), 2006)

Fixed-point neural independent component analysis algorithms on the orthogonal group. - Simone G. O. Fiori (Future Gener. Comput. Syst., 2006)

Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation. - Simone G. O. Fiori (Neural Process. Lett., 2006)

Blind adaptation of stable discrete-time IIR filters in state-space form. - Simone G. O. Fiori (IEEE Trans. Signal Process., 2006)

Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices. - Simone G. O. Fiori (ICANN (1), 2007)

Least Squares Approximate Joint Diagonalization on the Orthogonal Group. - Toshihisa Tanaka 001; Simone G. O. Fiori (ICASSP (2), 2007)

Neural Learning by Retractions on Manifolds. - Simone G. O. Fiori (ISCAS, 2007)

Neural Systems with Numerically Matched Input-Output Statistic: Isotonic Bivariate Statistical Modeling. - Simone G. O. Fiori (Comput. Intell. Neurosci., 2007)

Learning independent components on the orthogonal group of matrices by retractions. - Simone G. O. Fiori (Neural Process. Lett., 2007)

Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks. - Simone G. O. Fiori (IJCNN, 2008)

Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm. - Simone G. O. Fiori (IJCNN, 2008)

An averaging method for a committee of special-orthogonal-group machines. - Simone G. O. Fiori; Toshihisa Tanaka 001 (ISCAS, 2008)

Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm. - Simone G. O. Fiori (Comput. Intell. Neurosci., 2008)

Learning by Criterion Optimization on a Unitary Unimodular Matrix Group. - Simone G. O. Fiori (Int. J. Neural Syst., 2008)

Leap-frog-type learning algorithms over the Lie group of unitary matrices. - Simone G. O. Fiori (Neurocomputing, 2008)

Engineering of intelligent systems (ICEIS 2006). - Amir Hussain 001; Simone G. O. Fiori; Ijaz Mansoor Qureshi; Tariq S. Durrani; Muhammad Mansoor Ahmed; K. Fukushima (Neurocomputing, 2008)

Descent methods for optimization on homogeneous manifolds. - Elena Celledoni; Simone G. O. Fiori (Math. Comput. Simul., 2008)

A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3). - Simone G. O. Fiori (Neural Comput., 2008)

Lie-group-type neural system learning by manifold retractions. - Simone G. O. Fiori (Neural Networks, 2008)

Geodesic-based and projection-based neural blind deconvolution algorithms. - Simone G. O. Fiori (Signal Process., 2008)

Learning averages over the lie group of unitary matrices. - Simone G. O. Fiori (IJCNN, 2009)

Learning averages over the lie group of symmetric positive-definite matrices. - Simone G. O. Fiori; Toshihisa Tanaka 001 (IJCNN, 2009)

Learning-machines-committee Averages over the Unitary Group of Matrices. - Simone G. O. Fiori; Toshihisa Tanaka 001 (ISCAS, 2009)

Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices. - Simone G. O. Fiori (Cogn. Comput., 2009)

On vector averaging over the unit hypersphere. - Simone G. O. Fiori (Digit. Signal Process., 2009)

Computation of the Frechet mean, variance and interpolation for a pool of neural networks over the manifold of special orthogonal matrices. - Simone G. O. Fiori (Int. J. Comput. Intell. Stud., 2009)

An algorithm to compute averages on matrix Lie groups. - Simone G. O. Fiori; Toshihisa Tanaka 001 (IEEE Trans. Signal Process., 2009)

A pseudo-Riemannian-gradient approach to the least-squares problem on the real symplectic group. - Simone G. O. Fiori (ICASSP, 2010)

A Closed-Form Solution to the Problem of Averaging over the Lie Group of Special Orthogonal Matrices. - Simone G. O. Fiori (ISNN (1), 2010)

Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2010)

Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks. - Simone G. O. Fiori (ICONIP (3), 2011)

Visualization of Riemannian-manifold-valued elements by multidimensional scaling. - Simone G. O. Fiori (Neurocomputing, 2011)

Solving Minimal-Distance Problems over the Manifold of Real-Symplectic Matrices. - Simone G. O. Fiori (SIAM J. Matrix Anal. Appl., 2011)

Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2011)

Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere. - Simone G. O. Fiori (IEEE Trans. Neural Networks, 2011)

A comparison of two algorithmic recipes to parametrize rectangular orthogonal matrices. - Simone G. O. Fiori; Tetsuya Kaneko; Toshihisa Tanaka 001 (APSIPA, 2012)

A method to compute averages over the compact Stiefel manifold. - Tetsuya Kaneko; Toshihisa Tanaka 001; Simone G. O. Fiori (ICASSP, 2012)

Learning on the compact Stiefel manifold by a cayley-transform-based pseudo-retraction map. - Simone G. O. Fiori; Tetsuya Kaneko; Toshihisa Tanaka 001 (IJCNN, 2012)

Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects. - Simone G. O. Fiori (IEEE Trans. Neural Networks Learn. Syst., 2012)

Random Clouds on Matrix Lie Groups. - Simone G. O. Fiori (GSI, 2013)

An isotonic trivariate statistical regression method. - Simone G. O. Fiori (Adv. Data Anal. Classif., 2013)

Mixed Maps for Kolmogoroff-Nagumo-Type Averaging on the Compact Stiefel Manifold - Simone G. O. Fiori; Tetsuya Kaneko; Toshihisa Tanaka 001 (CoRR, 2013)

Fast statistical regression in presence of a dominant independent variable. - Simone G. O. Fiori (Neural Comput. Appl., 2013)

Empirical Arithmetic Averaging Over the Compact Stiefel Manifold. - Tetsuya Kaneko; Simone G. O. Fiori; Toshihisa Tanaka 001 (IEEE Trans. Signal Process., 2013)

Mixed maps for learning a Kolmogoroff-Nagumo-type average element on the compact Stiefel manifold. - Simone G. O. Fiori; Tetsuya Kaneko; Toshihisa Tanaka 001 (ICASSP, 2014)

A two-dimensional Poisson equation formulation of non-parametric statistical non-linear modeling. - Simone G. O. Fiori (Comput. Math. Appl., 2014)

Auto-Regressive Moving Average Models on Complex-Valued Matrix Lie Groups. - Simone G. O. Fiori (Circuits Syst. Signal Process., 2014)

Kolmogoroff-Nagumo mean over the affine symplectic group of matrices. - Simone G. O. Fiori (Appl. Math. Comput., 2015)

Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System. - Simone G. O. Fiori; Tianxia Gong; Hwee Kuan Lee (Cogn. Comput., 2015)

A Smartphone-Based Acquisition System for Hips Rotation Fluency Assessment. - Andrea Civita; Simone G. O. Fiori; Giuseppe Romani (CoRR, 2015)

Tangent-Bundle Maps on the Grassmann Manifold: Application to Empirical Arithmetic Averaging. - Simone G. O. Fiori; Tetsuya Kaneko; Toshihisa Tanaka 001 (IEEE Trans. Signal Process., 2015)

A Riemannian steepest descent approach over the inhomogeneous symplectic group: Application to the averaging of linear optical systems. - Simone G. O. Fiori (Appl. Math. Comput., 2016)

Nonlinear damped oscillators on Riemannian manifolds: Fundamentals. - Simone G. O. Fiori (J. Syst. Sci. Complex., 2016)

Nonlinear damped oscillators on Riemannian manifolds: Numerical simulation. - Simone G. O. Fiori (Commun. Nonlinear Sci. Numer. Simul., 2017)

An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling. - Simone G. O. Fiori; Ruben Di Filippo (Entropy, 2017)

Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces. - Takashi Uehara; Matteo Sartori; Toshihisa Tanaka 001; Simone G. O. Fiori (Neural Comput., 2017)

Generalized Gaussian Kernel Adaptive Filtering. - Tomoya Wada; Kosuke Fukumori; Toshihisa Tanaka 001; Simone G. O. Fiori (CoRR, 2018)

A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment. - Andrea Civita; Simone G. O. Fiori; Giuseppe Romani (Inf., 2018)

Smooth statistical modeling of bivariate non-monotonic data by a three-stage LUT neural system. - Simone G. O. Fiori; Nicola Fioranelli (Neural Comput. Appl., 2018)

Statistical Modeling of Trivariate Static Systems: Isotonic Models. - Simone G. O. Fiori; Andrea Vitali (Data, 2019)

A comprehensive comparison of algorithms for the statistical modelling of non-monotone relationships via isotonic regression of transformed data. - Simone G. O. Fiori (Int. J. Data Anal. Tech. Strateg., 2019)

Glomerular Filtration Rate Estimation by a Novel Numerical Binning-Less Isotonic Statistical Bivariate Numerical Modeling Method. - Sebastian Nicolas Giles; Simone G. O. Fiori (Inf., 2019)

A Closed-Form Expression of the Instantaneous Rotational Lurch Index to Evaluate Its Numerical Approximation. - Simone G. O. Fiori (Symmetry, 2019)

Gradient-based Learning Methods Extended to Smooth Manifolds Applied to Automated Clustering. - Alkis Koudounas; Simone G. O. Fiori (J. Artif. Intell. Res., 2020)

A Control-Theoretic Approach to the Synchronization of Second-Order Continuous-Time Dynamical Systems on Real Connected Riemannian Manifolds. - Simone G. O. Fiori (SIAM J. Control. Optim., 2020)

Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis. - Simone G. O. Fiori (Comput., 2021)

Extension of PID Regulators to Dynamical Systems on Smooth Manifolds (M-PID). - Simone G. O. Fiori (SIAM J. Control. Optim., 2021)

Manifold Calculus in System Theory and Control - Fundamentals and First-Order Systems. - Simone G. O. Fiori (Symmetry, 2021)

Virtual Attractive-Repulsive Potentials Control Theory: A Review and an Extension to Riemannian Manifolds. - Luca Bigelli; Federico Polenta; Simone G. O. Fiori (Symmetry, 2022)

Manifold Calculus in System Theory and Control - Second Order Structures and Systems. - Simone G. O. Fiori (Symmetry, 2022)

Maximum Convergence Rate Control of a Switched Electrical Network with Symmetries. - Simone G. O. Fiori; Luca Ciaramicoli; Giovanni Berluti (Symmetry, 2023)

Lie-group modeling and simulation of a spherical robot, actuated by a yoke-pendulum system, rolling over a flat surface without slipping. - Simone G. O. Fiori (Robotics Auton. Syst., 2024)