| 2008 |
|---|
| 54 | EE | Simone Fiori:
Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks.
IJCNN 2008: 1787-1792 |
| 53 | EE | Simone Fiori:
Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm.
IJCNN 2008: 1801-1806 |
| 52 | EE | Simone Fiori,
Toshihisa Tanaka:
An averaging method for a committee of special-orthogonal-group machines.
ISCAS 2008: 2170-2173 |
| 51 | EE | Simone Fiori:
Learning by Criterion Optimization on a Unitary Unimodular Matrix Group.
Int. J. Neural Syst. 18(2): 87-103 (2008) |
| 50 | EE | Elena Celledoni,
Simone Fiori:
Descent methods for optimization on homogeneous manifolds.
Mathematics and Computers in Simulation 79(4): 1298-1323 (2008) |
| 49 | EE | Simone Fiori:
A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3).
Neural Computation 20(4): 1091-1117 (2008) |
| 48 | EE | Simone Fiori:
Lie-group-type neural system learning by manifold retractions.
Neural Networks 21(10): 1524-1529 (2008) |
| 47 | EE | Simone Fiori:
Leap-frog-type learning algorithms over the Lie group of unitary matrices.
Neurocomputing 71(10-12): 2224-2244 (2008) |
| 46 | EE | Simone Fiori:
Geodesic-based and projection-based neural blind deconvolution algorithms.
Signal Processing 88(3): 521-538 (2008) |
| 2007 |
|---|
| 45 | EE | Simone Fiori:
Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices.
ICANN (1) 2007: 858-863 |
| 44 | EE | Simone Fiori:
Neural Learning by Retractions on Manifolds.
ISCAS 2007: 1293-1296 |
| 43 | EE | Simone Fiori:
Learning independent components on the orthogonal group of matrices by retractions.
Neural Processing Letters 25(3): 187-198 (2007) |
| 2006 |
|---|
| 42 | EE | Simone Fiori:
Fixed-point neural independent component analysis algorithms on the orthogonal group.
Future Generation Comp. Syst. 22(4): 430-440 (2006) |
| 41 | EE | Simone Fiori:
Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation.
Neural Processing Letters 23(2): 143-170 (2006) |
| 2005 |
|---|
| 40 | EE | Simone Fiori:
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial.
Journal of Machine Learning Research 6: 743-781 (2005) |
| 39 | EE | Simone Fiori:
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay.
Neural Computation 17(4): 779-838 (2005) |
| 38 | EE | Simone Fiori,
Shun-ichi Amari:
Geometrical methods in neural networks and learning.
Neurocomputing 67: 1-7 (2005) |
| 2004 |
|---|
| 37 | EE | Simone Fiori,
Nicoletta Del Buono,
Tiziano Politi:
Optical Flow Estimation via Neural Singular Value Decomposition Learning.
ICCSA (2) 2004: 961-970 |
| 36 | EE | Simone Fiori:
Relative uncertainty learning theory: an essay.
Int. J. Neural Syst. 14(5): 293-311 (2004) |
| 35 | EE | Simone Fiori,
Pietro Burrascano:
One-unit 'rigid-bodies' learning rule for principal/independent component analysis with application to ECT-NDE signal processing.
Neurocomputing 56: 233-255 (2004) |
| 2003 |
|---|
| 34 | EE | Simone Fiori:
Singular Value Decomposition Learning on Double Stiefel Manifold.
Int. J. Neural Syst. 13(3): 155-170 (2003) |
| 33 | EE | Simone Fiori,
Roberto Rossi:
Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA.
Int. J. Neural Syst. 13(5): 273-290 (2003) |
| 32 | EE | Simone Fiori:
Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons.
Neural Computation 15(12): 2909-2929 (2003) |
| 31 | EE | Simone Fiori:
Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing.
Neural Networks 16(3-4): 453-467 (2003) |
| 30 | EE | Simone Fiori:
Neural independent component analysis by "maximum-mismatch" learning principle.
Neural Networks 16(8): 1201-1221 (2003) |
| 29 | EE | Luciano Albini,
Pietro Burrascano,
Simone Fiori:
A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis.
Neurocomputing 55(3-4): 451-468 (2003) |
| 28 | EE | Ze Wang,
Yin Lee,
Simone Fiori,
Andrew Chi-Sing Leung,
Yi-Sheng Zhu:
An improved sequential method for principal component analysis.
Pattern Recognition Letters 24(9-10): 1409-1415 (2003) |
| 2002 |
|---|
| 27 | EE | Simone Fiori,
Pietro Burrascano:
Blind electromagnetic source separation and localization.
ISCAS (1) 2002: 685-688 |
| 26 | EE | Simone Fiori,
Pietro Burrascano:
Nonsymmetric PDF approximation by artificial neurons: application to statistical characterization of reinforced composites.
ISCAS (3) 2002: 109-112 |
| 25 | EE | Simone Fiori:
Unsupervised Neural Learning on Lie Group.
Int. J. Neural Syst. 12(3-4): 219-246 (2002) |
| 24 | EE | Simone Fiori:
A Minor Subspace Algorithm Based on Neural Stiefel Dynamics.
Int. J. Neural Syst. 12(5): 339-350 (2002) |
| 23 | EE | Simone Fiori:
Notes on Bell-Sejnowski PDF-Matching Neuron.
Neural Computation 14(12): 2847-285 (2002) |
| 22 | EE | Simone Fiori:
Hybrid independent component analysis by adaptive LUT activation function neurons.
Neural Networks 15(1): 85-94 (2002) |
| 21 | | Simone Fiori:
Complex Weighted One Unit 8216 Rigid Bodies 8217 Learning Rule for Independent Component Analysis.
Neural Processing Letters 15(3): 275-282 (2002) |
| 20 | EE | Simone Fiori:
Blind deconvolution by simple adaptive activation function neuron.
Neurocomputing 48(1-4): 763-778 (2002) |
| 2001 |
|---|
| 19 | EE | Saverio Costa,
Simone Fiori:
Image compression using principal component neural networks.
Image Vision Comput. 19(9-10): 649-668 (2001) |
| 18 | | Simone Fiori:
Probability Density Function Learning by Unsupervised Neurons.
Int. J. Neural Syst. 11(5): 399-417 (2001) |
| 17 | | Simone Fiori:
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold.
Neural Computation 13(7): 1625-1647 (2001) |
| 16 | | Simone Fiori,
Paolo Bucciarelli:
Probability Density Estimation Using Adaptive Activation Function Neurons.
Neural Processing Letters 13(1): 31-42 (2001) |
| 15 | EE | Simone Fiori:
A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation.
Signal Processing 81(10): 2131-2153 (2001) |
| 2000 |
|---|
| 14 | EE | Simone Fiori:
Stiefel-Grassman Flow (SGF) Learning: Further Results.
IJCNN (3) 2000: 343-350 |
| 13 | EE | Simone Fiori,
Saverio Costa,
Pietro Burrascano:
Improved psi-APEX Algorithm for Digital Image Compression.
IJCNN (3) 2000: 392-400 |
| 12 | EE | Simone Fiori,
Pietro Burrascano:
A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion.
IJCNN (5) 2000: 65-70 |
| 11 | EE | S. Barcherini,
L. Cipiccia,
M. Maggi,
Simone Fiori,
Pietro Burrascano:
Non-Destructive Test by the Hopfield Network.
IJCNN (6) 2000: 381-388 |
| 10 | EE | Simone Fiori:
Blind signal processing by the adaptive activation function neurons.
Neural Networks 13(6): 597-611 (2000) |
| 9 | | Simone Fiori:
An Experimental Comparison of Three PCA Neural Networks.
Neural Processing Letters 11(3): 209-218 (2000) |
| 8 | EE | Simone Fiori:
Blind separation of circularly distributed sources by neural extended APEX algorithm.
Neurocomputing 34(1-4): 239-252 (2000) |
| 1999 |
|---|
| 7 | EE | Simone Fiori,
Francesco Piazza:
A comparison of three PCA neural techniques.
ESANN 1999: 275-280 |
| 6 | EE | Simone Fiori,
Aurelio Uncini,
Francesco Piazza:
Blind deconvolution by modified Bussgang algorithm.
ISCAS (3) 1999: 1-4 |
| 5 | EE | Simone Fiori,
Paola Baldassarri,
Francesco Piazza:
An efficient architecture for independent component analysis.
ISCAS (5) 1999: 335-338 |
| 4 | EE | Simone Fiori,
Francesco Piazza:
Neural blind separation of complex sources by extended Hebbian learning (EGHA).
ISCAS (5) 1999: 339-342 |
| 3 | EE | Simone Fiori,
Francesco Piazza:
A second-order differential system for orthonormal optimization.
ISCAS (5) 1999: 531-534 |
| 2 | EE | Simone Fiori,
Aurelio Uncini,
Francesco Piazza:
Neural blind separation of complex sources by extended APEX algorithm (EAPEX).
ISCAS (5) 1999: 627-630 |
| 1997 |
|---|
| 1 | | Simone Fiori,
Aurelio Uncini,
Francesco Piazza:
Application of the MEC Network to Principal Component Analysis and Source Separation.
ICANN 1997: 571-576 |
