1997

[001] S. Fiori, A. Uncini, and F. Piazza, Application of the MEC Network to Principal Component Analysis and Source Separation, in Proc. of the International Conference on Artificial Neural Networks (ICANN), pp. 571 - 576, 1997 (PostScript)

[002] S. Fiori, P. Campolucci, A. Uncini, and F. Piazza, A New Unsupervised Neural Learning Rule for Orthonormal Signal Processing, in Proc. of the International Conference on Acoustics, Speech and Signal Processing, Vol. 4, pp. 3349 - 3352, 1997 (PostScript)

[003] P. Campolucci, S. Fiori, A. Uncini, and F. Piazza, A New IIR-MLP Learning Algorithm for On-Line Signal Processing, in Proc. of the International Conference on Acoustics, Speech and Signal Processing, Vol. 4, pp. 3293 - 3356, 1997

1998

[004] S. Fiori, A. Uncini, and F. Piazza, Gradient-Based Blind Deconvolution with Flexible Approximated Bayesian Estimator, in Proc. of the International Joint Conference on Neural Networks, pp. 854 - 858, 1998

[005] S. Fiori, P. Bucciarelli, and F. Piazza, Blind Signal Flatting Using Warping Neural Modules, in Proceedings of the International Joint Conference on Neural Networks, Vol. 3, pp. 2312 - 2317, 1998

[006] S. Fiori and F. Piazza, Orthonormal Strongly-Constrained Neural Learning, in Proc. of the International Joint Conference on Neural Networks, Vol. 2, pp. 1332 - 1337, 1998

[007] S. Fiori, A. Uncini, and F. Piazza, Neural Learning and Weight Flow on Stiefel Manifold, in Proc. of the X Italian Workshop on Neural Networks, pp. 325 - 333, 1998, Springer-Verlag

[008] S. Fiori, A. Uncini, and F. Piazza, A New Class of APEX-Like PCA Algorithms, in Proc. of the International Symposium on Circuits and Systems, Vol. III, pp. 66 - 69, 1998

[009] S. Fiori and F. Piazza, BLADE: A New On-Line Blind Equalization Method Based on the Burelian Distortion Measure, in Proc. of the International Symposium on Circuits and Systems, Vol. IV, pp. 441 - 444, 1998

[010] S. Fiori and A. Uncini, A Unified Approach to Laterally-Connected Neural Nets, in Proc. of the IX European Signal Processing Conference (EUSIPCO), Vol. I, pp. 379 - 382, 1998

[011] S. Fiori and F. Piazza, A Study on Functional-Link Neural Units with Maximum Entropy Response, in Proc. of the International Conference on Artificial Neural Networks (ICANN), Vol. 2, pp. 493 - 498, 1998

1999

[012] E. Pomponi, S. Fiori, and F. Piazza, Complex Independent Component Analysis by Nonlinear Generalized Hebbian Learning with Rayleigh Nonlinearity, in Proc. of the International Conference on Acoustics, Speech and Signal Processing, Vol. 2, pp. 1077 - 1080, 1999

[013] S. Fiori and F. Piazza, Weighted Least-Squares Blind Deconvolution, in Proc. of the International Conference on Acoustics, Speech and Signal Processing, Vol. 5, pp. 2507 - 2510, 1999

[014] S. Fiori and F. Piazza, A Comparison of Three PCA Neural Techniques, in Proc. of the European Symposium on Artificial Neural Networks (ESANN), pp. 275 - 280, 1999

[015] S. Fiori and F. Piazza, A Second-Order Differential System for Orthonormal Optimization, Proc. of the International Symposium on Circuits and Systems, Vol. V, pp. 531 - 534, 1999

[016] S. Fiori and F. Piazza, Neural Blind Separation of Complex Sources by Extended Hebbian Learning (EGHA), in Proc. of the of International Symposium on Circuits and Systems, Vol. V, pp. 339 - 342, 1999

[017] S. Fiori, P. Baldassarri, and F. Piazza, An Efficient Architecture for Independent Component Analysis, in Proc. of the International Symposium on Circuits and Systems, Vol. V, pp. 335 - 338, 1999

[018] S. Fiori, A. Uncini, and F. Piazza, Blind Deconvolution by Modified Bussgang Algorithm, in Proc. of the International Symposium on Circuits and Systems, Vol. III, pp. 1 - 4, 1999

[019] S. Fiori, A. Uncini, and F. Piazza, Neural Blind Separation of Complex Sources by Extended APEX Algorithm (EAPEX), in Proc. of the International Symposium on Circuits and Systems, Vol. V, pp. 627 - 630, 1999

[020] S. Fiori, An Experimetal Comparison of Three PCA Neural Techniques, in Proc. of the XI Italian Workshop on Neural Networks, pp. 249 - 255, 1999, Springer-Verlag

[021] S. Fiori and P. Burrascano, Polynomial Clusterons Exhibit Statistical Estimation Abilities, in Proc. of the XI Italian Workshop on Neural Networks, pp. 113 - 119, 1999, Springer-Verlag

[022] S. Fiori, A. Faustini and P. Burrascano, Non-Uniform Image Sampling for Robot Motion Control by the GFS Algorithm, in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Vol. 3, pp. 2057 - 2060, July 1999

[023] S. Fiori and P. Burrascano, `Mechanical' Neural Learning and InfoMax Orthonormal Independent Component Analysis, in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Vol. 2, pp. 985 - 988, July 1999

[024] S. Fiori and P. Burrascano, Analytical Results on Pseudo-Polynomial Functional-Link Neurons for Blind Density Shaping, in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Vol. 2, pp. 1117 - 1120, July 1999

[025] M. Angeli, P. Burrascano, E. Cardelli, S. Fiori, and S. Resteghini, Classification of Eddy Current NDT data by Probabilistic Neural Networks, in Proc. of the International Joint Conference on Neural Networks (IJCNN'99) - Special session paper, Vol. 6, pp. 4012- 4014, July 1999

[026] A. Bianchi, P. Burrascano, E. Cardelli, and S. Fiori, Improved Classification of Eddy Current NDT Data by the Rotated-Kernel Probabilistic Neural Networks, in Proc. of the Electrical Non Destructive Evaluation (E'NDE), pp. 81 - 83, 1999 (Word97)

[027] S. Fiori and P. Burrascano, Independent Component Analysis by the PFANN Neural Network, in Proc. of the International Conference on Artificial Neural Networks, Vol. II, pp. 696 - 701, 1999

[028] A. Bianchi, P. Burrascano, E. Cardelli, S. Fiori, and B. Tellini, Defect Identification by Eddy Current Inspection Data Classification Through Probabilistic Neural Networks with Elliptical Kernels, Proc. of COMPUMAG'99 (12th Conference on the Computation of Electromagnetic Fields), Vol. 1, pp. 180-181, Sapporo (Japan), Oct. 25-28, 1999 (PostScript)

[029] S. Fiori, Blind Source Separation by New M-WARP Algorithm, Electronics Letters, Vol. 35, No. 4, pp. 269 - 270, Feb. 1999

[030] S. Fiori, Entropy Optimization by the PFANN Network: Application to Independent Component Analysis, Network: Computation in Neural Systems, Vol. 10, No. 2, pp. 171 - 186, May 1999 (PostScript)

[031] S. Fiori, Blind Deconvolution by Spectral Weighted Least-Squares Technique, Electronics Letters, Vol. 35, No. 10, pp. 776 - 777, May 1999

[032] P. Burrascano, S. Fiori, and M. Mongiardo, A Review of Artificial Neural Networks Applications in Microwave CAD, Int. Journal of RF and Microwave Computer Aided Engineering, Vol. 9, No. 3, pp. 158 - 174, 1999 (Word97)

[033] S. Fiori, 'Mechanical' Neural Learning for Blind Source Separation, Electronics Letters, Vol. 35, No. 22, pp. 1963 - 1964, Oct. 1999

2000

[034] A. Brozzetti, S. Fiori, and P. Burrascano, Inverse Neural Modeling for Non Destructive Evaluation, Proc. of Neural Computation (NC'2000), pp. 929 - 933, Berlin, May 2000 (PostScript)

[035] A. Brozzetti, S. Fiori, P. Burrascano, and E. Cardelli, Electromagnetic Nondestructive Test (ENDT) Data Inversion by a Neural Network Approach, in Proc. of the IEEE Conference on Electromagnetic Field Computation (CFEC'2000, Milwaukee, USA), p. 362, June 2000 (PDF)

[036] S. Fiori and F. Piazza, Neural MCA for Robust Beamforming, in Proc. of the International Symposium on Circuits and Systems (ISCAS'2000) vol. III, pp. 614 - 617, May 2000, Geneve (Switzerland)

[037] S. Barcherini, L. Cipiccia, M. Maggi, S. Fiori, and P. Burrascano, Non-Destructive Test by the Hopfield Network, in Proc. of the International Joint Conference on Neural Networks, (Como, Italy), Vol. VI, pp. 381 - 386, July 2000 (PostScript)

[038] P. Burrascano, E. Cardelli, A. Faba, S. Fiori, and A. Massinelli, Numerical Analysis of Eddy-Current Non-Destructive Testing (JSAEM Benchmark Problem #6 - Cracks with different shapes), in Proc. of the Electromagnetic Non-Destructive Evaluation (ENDE-V), pp. 333 - 340, Budapest, June/July 2000 (PDF)

[039] S. Fiori and G. Maiolini, Weighted Least-Squares Blind Deconvolution of Non-Minimum Phase Systems, IEE Proceedings - Vision, Image and Signal Processing Vol. 147, No. 6, pp. 557 - 563, Dec. 2000 (PostScript)

[040] S. Fiori, S. Costa, and P. Burrascano, Improved ψ-APEX Algorithm for Digital Image Compression, in Proc. of the International Joint Conference on Neural Networks (Como, Italy), Vol. III, pp. 392 - 397, July 2000

[041] S. Fiori, Stiefel-Grassman Flow (SGF) Learning: Further Results, Proc. of International Joint Conference on Neural Networks (Como, Italy), Vol. III, pp. 343 - 348, July 2000

[042] S. Fiori and P. Burrascano, A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion, Proc. of International Joint Conference on Neural Networks (Como, Italy), Vol. V, pp. 65 - 70, July 2000 (PostScript)

[043] S. Fiori and P. Burrascano, Neural Network Feature Selection Applied to Robot Motion Control, in Proc. of the Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Data Mining (ANNIE'2000), pp. 77 - 82, November 2000

[044] S. Fiori, An Experimental Comparison of Three PCA Neural Networks, Neural Processing Letters, Vol. 11, No. 3, pp. 209 - 218, June 2000 (PostScript)

[045] S. Fiori, Blind Separation of Circularly Distributed Source Signals by the Neural Extended APEX Algorithm, Neurocomputing, Vol. 34, No. 1-4, pp. 239 - 252, August 2000 (PostScript)

[046] S. Fiori and F. Piazza, A General Class of ψ-APEX PCA Neural Algorithms, IEEE Transactions on Circuits and Systems - Part I, Vol 47, No. 9, pp. 1394 - 1397, September 2000 (PostScript)

[047] S. Fiori, Blind Signal Processing by the Adaptive Activation Function Neurons, Neural Networks, Vol. 13, No. 6, pp. 597 - 611, August 2000 (PDF)

2001

[048] P. Burrascano, E. Cardelli, A. Faba, S. Fiori and A. Massinelli, A multilayer perceptron approach to a non-destructive test problem, in Proc. of the 6th International Workshop Electromagnetic Nondestructive Evaluation (ENDE), pp. 75 - 81, (Budapest, Hungary, June 28-30, 2000), Edited by J. Pavo, G. Vertesy, T. Takagi, S.S. Udpa for IOS PRESS (The Netherlands), 2001 (ISBN:1-58603-155-4)

[049] S. Fiori and P. Bucciarelli, Probability Density Estimation Using Adaptive Activation Function Neurons, Neural Processing Letters, Vol. 13, No. 1, pp. 31 - 42, Feb. 2001 (PostScript)

[050] S. Fiori, A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold, Neural Computation, Vol. 13, No. 7, pp. 1625 - 1647, July 2001 (PostScript)

[051] S. Costa and S. Fiori, Image Compression Using Principal Component Neural Networks, Image and Vision Computing Journal (special issue on "Artificial Neural Networks for Image Analysis and Computer Vision"). Vol. 19, No. 9-10, pp. 649 - 668, August 2001 (PDF)

[052] S. Fiori, P. Burrascano, E. Cardelli and A. Faba, A Blind Separation Approach to Electromagnetic Source Localization and Assessment, in Proc. of the 7^th International Conference on Engineering Applications of Neural Networks (EANN'2001), pp. 188 - 191, July 16-18, 2001

[053] P. Burrascano, E. Cardelli, A. Faba, S. Fiori and A. Massinelli, Application of Probabilistic Neural Networks to Eddy Current Non Destructive Test Problems, in Proc. of the 7^th International Conference on Engineering Applications of Neural Networks (EANN'2001), pp. 192 - 195, July 16-18, 2001 (PDF)

[054] S. Fiori, Topics in Blind Signal Processing by Neural Networks (Invited paper), in Proc. of the XII Italian Workshop on Neural Networks, (Presentation for the "2001 E.R. Caianiello International Award"), 2001. In press (Springer-Verlag) (PostScript)

[055] S. Fiori, P. Burrascano and E. Cardelli, A Neural Network Approach to ECT Data Inversion for Materials Quality Evaluation, in Proc. of the IEEE Neural Networks for Signal Processing (NNSP'2001), pp. 519 - 528, Falmouth (MA - USA), September 2001 (PostScript)

[056] S. Fiori, On Blind Separation of Complex-Valued Sources by Extended Hebbian Learning, IEEE Signal Processing Letters, Vol. 8, No. 8, pp. 217 - 220, August 2001 (PDF)

[057] S. Fiori, A Contribution to (Neuromorphic) Blind Deconvolution by Flexible Approximated Bayesian Estimation, Signal Processing, Vol. 81, No. 10, pp. 2131 - 2153, September 2001 (PDF)

[058] S. Fiori, Probability Density Function Learning by Unsupervised Neurons, in Proc. of the International Journal of Neural Systems, Vol. 11, No. 5, 399 - 417, October 2001 (Compressed PostScript)

[059] S. Fiori and P. Burrascano, Electromagnetic Environmental Pollution Monitoring: Source Localization by the Independent Component Analysis, in Proc. of the Third International Conference on Independent Component Analysis, and Signal Separation, pp. 575 - 580, San Diego, California, December 9-13, 2001

[060] S. Fiori and P. Burrascano, ECT-Data Fusion by the Independent Component Analysis for Non-Destructuve Evaluation of Metallic Slabs, in Proc. of the Third International Conference on Independent Component Analysis, and Signal Separation, pp. 323 - 327, San Diego, California, December 9-13, 2001

[061] S. Fiori, Some Properties of Bell-Sejnowski PDF-Matching Neuron, in Proc. of the Third International Conference on Independent Component Analysis, and Signal Separation, pp. 194 - 199, San Diego, California, December 9-13, 2001

2002

[062] S. Fiori, Notes on Cost Functions and Estimators for `Bussgang' Adaptive Blind Equalization, European Transactions on Telecommunications (ETT), Vol. 13, No. 6, pp. 631 - 634, November/December 2002 (PostScript)

[063] P. Burrascano, S. Fiori, F.M. Frattale-Mascioli, G. Martinelli, M. Panella and A. Rizzi, Visual Path Following and Obstacle Avoidance by Artificial Neural Networks. In "Enabling Technologies for the PRASSI Autonomous Robot" (S. Taraglio and V. Nanni, Ed.s), ENEA Research Institute, pp. 30 - 39, 2002 (Compressed PDF)

[064] S. Fiori, Hybrid Independent Component Analysis by Adaptive LUT Activation Function Neurons, Neural Networks, Vol. 15, No. 1, pp. 85 - 94, January 2002 (PDF)>

[065] S. Fiori, A Theory for Learning Based on Rigid Bodies Dynamics, IEEE Transactions on Neural Networks, Vol. 13, No. 3, pp. 521 - 531, May 2002 (PDF)

[066] S. Fiori and P. Burrascano, Blind Electromagnetic Source Separation and Localization, International Symposium on Circuits and Systems (ISCAS'02), Vol. 1, pp. 685 - 688, May 2002

[067] S. Fiori and P. Burrascano, Nonsymmetric PDF approximation by artificial neurons: application to statistical characterization of reinforced composites, IEEE International Symposium on Circuits and Systems (ISCAS'02), Vol. 3, pp. 109 - 112, 2002

[068] S. Fiori, F. Grimani and P. Burrascano, Novel Neural Network Feature Selection Procedure by Generalization Maximization with Application to Automatic Robot Guidance, International Journal of Smart Engineering System Design, Vol. 4, No. 2, pp. 91 - 106, June 2002 (Compressed PostScript)

[069] S. Fiori, Complex-Weighted One-Unit `Rigid-Bodies' Learning Rule for Independent Component Analysis, Neural Processing Letters, Vol. 15, No. 3, pp. 275 - 282, June 2002 (PostScript)

[070] L. Albini, P. Burrascano, E. Cardelli, A. Faba and S. Fiori, Neural Blind Separation for Electromagnetic Source Localization and Assessment, International Joint Conference on Neural Networks (IJCNN'02), Vol. 1, pp. 406 - 411, May 2002

[071] S. Fiori, Blind Deconvolution by Simple Adaptive Activation Function Neuron, Neurocomputing, Vol. 48, No. 1-4, pp. 763 - 778, October 2002 (PDF)

[072] S. Fiori, A Survey of Optical Neural Networks Applications and Technology, in Proc. of the International Workshop on "Optics in Computing", (St. Petersburg - Russia), October 14-17, 2002 (PDF)

[073] S. Fiori, Notes on Bell-Sejnowski PDF-Matching Neuron, Neural Computation, Vol. 14, No. 12, pp. 2847 - 2855, December 2002 (Compressed PostScript)

[074] S. Fiori, Unsupervised Neural Learning on Lie Group, International Journal of Neural Systems, Vol. 12, No.s 3 & 4, pp. 219 - 246, 2002 (PDF)

[075] S. Fiori, Information-Theoretic Learning for FAN Network Applied to Eterokurtic Component Analysis, IEE Proceedings - Vision, Image and Signal Processing, Vol. 149, No. 6, pp. 347 - 354, December 2002 (PDF). An Erratum about this manuscript was published in "Erratum" by S. Fiori, IEE Proceedings - Vision, Image and Signal Processing, Vol. 150, No. 6, p. 370, December 2003

[076] S. Fiori, Blind Intrinsically-Stable 2-Pole IIR Filtering, Electronics Letters, Vol. 38, no. 23, pp. 1482 - 1483, December 2002

[077] S. Fiori, A Minor Subspace Algorithm Based on Neural Stiefel Dynamics, International Journal of Neural Systems, Vol. 12, No. 5, pp. 339 - 350, 2002 (PostScript)

2003

[078] J. Biagiotti, L. Torre, S. Fiori and J.M. Kenny, Statistical Design and Analysis of the Mechanical Behavior of Polypropylene Matrix Composites Reinforced With Natural Fibers, Second International Conference on Eco-Composites (EcoComp 2003), Queen Mary University, London (UK), September 1-2, 2003

[079] S. Fiori, Overview of Independent Component Analysis Technique with an Application to Synthetic Aperture Radar (SAR) Imagery Processing, Neural Networks (Special Issue on "Neural Networks for Analysis of Complex Scientific Data: Astronomy, Geology and Geophysics"), Vol. 16, No. 3-4, pp. 453 - 467, 2003 (PDF)

[080] S. Fiori, L. Albini, A. Faba, E. Cardelli and P. Burrascano Numerical Modeling for the Localization and the Assessment of Electromagnetic Field Sources, IEEE Transactions on Magnetics, Vol. 39, No. 3, pp. 1638 - 1641, May 2003 (PDF)

[081] J. Bracco, P. Burrascano, E. Cardelli, A. Faba and S. Fiori, A possible identification and control technique of artificial EM sources, Proc. of 15th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility (EMC 2003), pp. 291-294, February 18-20, 2003, Zurich (Switzerland)

[082] S. Fiori, Cost Function Adaptivity in Bussgang Filtering, Electronics Letters, Vol. 39, No. 6, pp. 572 - 574, March 2003 (PDF)

[083] S. Fiori, Extended Hebbian Learning for Blind Separation of Complex-Valued Sources, IEEE Transactions on Circuits and Systems - Part II, Vol. 50, No. 4, pp. 195 - 202, April 2003 (PostScript)

[084] Z. Wang, Y. Lee, S. Fiori, C.-S. Leung and Y.-S. Zhu, An Improved Sequential Method for Principal Component Analysis, Pattern Recognition Letters, Vol. 24, No. 9-10, pp. 1409 - 1415, June 2003 (Compressed PDF)

[085] S. Fiori, Singular Value Decomposition Learning on Double Stiefel Manifold, International Journal of Neural Systems, Vol. 13, No. 3, pp. 155 - 170, June 2003 (PDF)

[086] S. Fiori, Non-Symmetric PDF Estimation by Artificial Neurons: Application to Statistical Characterization of Reinforced Composites, IEEE Transactions on Neural Networks, Vol. 14, No. 4, pp. 959 - 962, July 2003 (PDF)

[087] J. Biagiotti, S. Fiori and J.M. Kenny, A New Approach For The Statistical Evaluation Of The Mechanical Properties Of Natural Fibres, IV Convegno Nazionale sulla Scienza e Tecnologia dei Materiali, Ischia Porto (NA), June 29 - July 2, 2003 (Abstract)

[088] S. Fiori, Neural Minor Component Analysis Approach to Robust Constrained Beamforming, IEE Proceedings - Vision, Image and Signal Processing, Vol. 150, No. 4, pp. 205 - 218, August 2003 (PDF)

[089] S. Fiori, Closed-Form Expressions of Some Stochastic Adapting Equations for Non-Linear Adaptive Activation Function Neurons, Neural Computation, Vol. 15, No. 12, pp. 2909 - 2929, December 2003 (PDF)

[090] S. Fiori, Neural Independent Component Analysis by `Maximum-Mismatch' Learning Principle, Neural Networks, Vol. 16, No. 8, pp. 1201 - 1221, October 2003 (PDF)

[091] L. Albini, P. Burrascano and S. Fiori, A Feasibility Study for Electromagnetic Pollution Monitoring by Electromagnetic-Source Localization via Neural Independent Component Analysis, Neurocomputing (Special Issue on "Evolving Solutions with Neural Networks", Edited by A. Fanni and A. Uncini), Vol. 55, Issue 3-4, pp. 451 - 468, 2003 (PDF)

[092] S. Fiori and R. Rossi, Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA, International Journal of Neural Systems, Vol. 13, No. 5, pp. 273 - 290, October 2003 (PDF)

[093] S. Fiori, Fully-Multiplicative Orthogonal-Group ICA Neural Algorithm, Electronics Letters, Vol. 39, No. 24, pp. 1737 - 1738, November 2003 (PDF)

2004

[094] E. Celledoni and S. Fiori, Neural Learning by Geometric Integration of Reduced `Rigid-Body' Equations, Journal of Computational and Applied Mathematics (JCAM), Vol. 172, No. 2, pp. 247 - 269, December 2004 (PDF)

[095] S. Fiori, On Self-Consistency of Cost Functions for Blind Signal Processing Based on Neural Bayesian Estimators, Proceedings of the 23rd Annual Conference on Bayesian Methods and Maximum Entropy in Science and Engineering, (Editors: G. Erickson and Y. Zhai), pp. 145 - 156, 2004 (PDF)

[096] J. Biagiotti, S. Fiori, L. Torre, M.A. López-Manchado and J.M. Kenny, Mechanical Properties of Polypropylene Matrix Composites Reinforced with Natural Fibers: A Statistical Approach, Polymer Composites, Vol. 25, No. 1, pp. 26 - 36, 2004 (PDF)

[097] S. Fiori and P. Burrascano, One-Unit `Rigid-Bodies' Learning Rule for Principal/Independent Component Analysis with Application to ECT-NDE Signal Processing, Neurocomputing, Vol. 56, No. 1-4, pp. 233 - 255, January 2004 (PDF)

[098] S. Fiori, A Fast Fixed-Point Neural Blind Deconvolution Algorithm, IEEE Transactions on Neural Networks, Vol. 15, No. 2, pp. 455 - 459, March 2004 (PDF)

[099] S. Fiori, N. Del Buono and T. Politi, Optical Flow Estimation via Neural Singular Value Decomposition Learning, in Proc. of the International Conference on Computational Science and Its Applications (Session on "Matrix Approximation with Application to Science, Engineering and Computer Science"), Lecture Notes in Computer Science (3044 LNCS), Vol. II, pp. 961 - 970, 2004 (May 14-17, S. Maria degli Angeli, Assisi (PG), Italy) (PDF)

[100] S. Fiori and R. Rossi, Statistical Characterization of Some Electrical and Mechanical Phenomena by a Neural Probability Density Function Estimation Technique, Neural Network World, Vol. 4, No. 2, pp. 153 - 176, 2004 (PDF)

[101] S. Fiori, Analysis of Modified `Bussgang' Algorithms (MBA) for Channel Equalization, IEEE Transactions on Circuits and Systems - Part I, Vol. 51, No. 8, pp. 1552 - 1560, August 2004 (PDF)

[102] E. Frulloni and S. Fiori, Eddy-Current-Based Non-Destructive Evaluation Data Quality Enhancement through Independent Component Analysis, Scientific Bulletin of the Academic Computer Center in Gdansk (''TASK Quarterly'' Journal), Vol. 8, No. 3, pp. 359 - 375, 2004 (PDF)

[103] S. Fiori, Relative Uncertainty Learning Theory: An Essay, International Journal of Neural Systems, Vol. 14, No. 5, pp. 293 - 311, October 2004 (PDF)

2005

[104] S. Fiori, Formulation and Integration of Learning Differential Equations on the Stiefel Manifold, IEEE Transactions on Neural Networks, Vol. 16, No. 6, pp. 1697 - 1701, Nov. 2005 (PDF)

[105] S. Fiori, Non-Linear Complex-Valued Extensions of Hebbian Learning: An Essay, Neural Computation, Vol. 17, No. 4, pp. 779 - 838, 2005 (PDF)

[106] S. Fiori, Quasi-Geodesic Neural Learning Algorithms over the Orthogonal Group: A Tutorial, Journal of Machine Learning Research, Vol. 6, pp. 743 - 781, May 2005 (PDF)

[107] S. Fiori and S.-i. Amari, Editorial: Special issue on ''Geometrical Methods in Neural Networks and Learning'', Neurocomputing, Vol. 67C, pp. 1 - 7, August 2005 (PDF)

2006

[108] S. Fiori, Extrinsic Geometrical Methods For Neural Blind Deconvolution, in Proceedings of MaxEnt'06, the Twentysixth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (CNRS, Paris, France, July 8-13), pp. 149 - 160, American Institute of Physics, Vol. 872, 2006

[109] A. Naveed, A. Hussain, I. M. Qureshi and S. Fiori, Blind Equalization of Communication Channels for Equal Energy Sources: Energy Matching Approach, Electronics Letters, Vol. 42, No. 4, pp. 247 - 248, February 2006

[110] S. Fiori, Fixed-Point Neural Independent Component Analysis Algorithms on the Orthogonal Group, Journal of Future Generation Computer Systems (Elsevier), Vol. 22, No. 4, pp. 430 - 440, March 2006

[111] S. Fiori, Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation, Neural Processing Letters, Vol. 23, No. 2, pp. 143 - 170, April 2006 (PDF)

[112] T. Tanaka and S. Fiori, Simultaneous Tracking of the Best Basis in Reduced-Rank Wiener Filter, International Conference on Acoustics, Speech and Signal Processing (IEEE-ICASSP, Toulouse, France), Vol. III, pp. 548 - 551, May 2006

[113] S. Fiori, Blind Adaptation of Stable Discrete-Time IIR Filters in State-Space Form, IEEE Transactions on Signal Processing, Vol. 54, No. 7, pp. 2596 - 2605, July 2006 (PDF)

2007

[114] S. Fiori, Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices, in Proceedings of the International Conference on Artificial Neural Networks (ICANN'07, September 9-13, 2007, Porto (Portugal, EU)), Lecture Notes in Computer Science (LNCS 4668), pp. 858 - 863, 2007

[115] T. Tanaka and S. Fiori, Least Squares Approximate Joint Diagonalization on the Orthogonal Group, Proc. of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. II, pp. pp. 649 - 652 (Honolulu, Hawaii, USA, April 15-20, 2007)

[116] S. Fiori, Learning Independent Components on the Orthogonal Group of Matrices by Retractions, Neural Processing Letters, Vol. 25, No. 3, pp. 187 - 198, June 2007

[117] S. Fiori, Neural Learning by Retractions on Manifolds, in Proc. of the 2007 IEEE International Symposium on Circuits and Systems, pp. 1293 - 1296 (New Orleans, USA, May 27-30, 2007)

[118] S. Fiori, Neural Systems with Numerically-Matched Input-Output Statistic: Isotonic Bivariate Statistical Modeling, Computational Intelligence and Neuroscience. Vol. 2007, Article ID 71859, 23 pages, 2007. DOI: 10.1155/2007/71859

2008

[119] S. Fiori, Lie-Group-Type Neural System Learning by Manifold Retractions, Neural Networks (Elsevier), Vol. 21, No. 10, pp. 1524 - 1529, December 2008

[120] S. Fiori, Geodesic-Based and Projection-Based Neural Blind Deconvolution Algorithms, Signal Processing, Vol. 88, No. 3, pp. 521 - 538, March 2008

[121] S. Fiori, A Study on Neural Learning on Manifold Foliations: The case of the Lie Group SU(3), Neural Computation, Vol. 20, No. 4, pp. 1091 - 1117, April 2008

[122] S. Fiori, Learning by Criterion Optimization on a Unitary Unimodular Matrix Group, International Journal of Neural Systems (Special issue on "Complex-Valued Neural Networks and Neuro-computing: Novel Methods, Applications and Implementations", Guest Editors: V.S.H. Rao, G.R. Murthy, T. Nitta and I. Aizenberg), Vol. 18, No. 2, pp. 87 - 103, April 2008

[123] S. Fiori, Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm, Computational Intelligence and Neuroscience journal. Vol. 2008, Article ID 426080, 8 pages, 2008. DOI: 10.1155/2008/426080

[124] S. Fiori, Leap-Frog-Type Learning Algorithms over the Lie Group of Unitary Matrices, Neurocomputing (Special issue on "Advances in Blind Signal Processing", Guest Editors: D. Erdogmus, D. Mandic and T. Tanaka), Vol. 71, No. 10-12, pp. 2224 - 2244, June 2008

[125] S. Fiori, Estimating Independent Components by Mappings onto the Orthogonal Manifold, Scientific Bulletin of the Academic Computer Center in Gdansk (''TASK Quarterly'' Journal), Vol. 12, No. 1, pp. 105 - 120, 2008

[126] S. Fiori, Learning Stepsize Selection for the Geodesic-Based Neural Blind Deconvolution Algorithm, Proceedings of the International Joint Conference on Neural Networks, (Hong Kong, June 1-6, 2008), pp. 1802 - 1807, 2008

[127] S. Fiori, Generation of Pseudorandom Numbers with Arbitrary Distribution by Learnable Look-Up-Table-Type Neural Networks, Proceedings of the International Joint Conference on Neural Networks, (Hong Kong, June 1-6, 2008), pp. 1788 - 1793, 2008

[128] S. Fiori and T. Tanaka, An Averaging Method for a Committee of Special-Orthogonal-Group Machines, Proceedings of the International Symposium on Circuits and Systems, (Seattle, WA, May 18-21), pp. 2170 - 2173, 2008

[129] A. Hussain, S. Fiori, I.M. Qureshi, T.S. Durrani, M.M. Ahmed and K. Fukushima, Engineering of Intelligent Systems (Editorial), Neurocomputing, Vol. 71, No.s 13-15, pp. 2616 - 2618, August 2008

[130] E. Celledoni and S. Fiori, Descent Methods for Optimization on Homogeneous Manifolds, Journal of Mathematics and Computers in Simulation (Special issue on "STRUCTURAL DYNAMICAL SYSTEMS: Computational Aspects", Guest Editors: N. Del Buono, L. Lopez and T. Politi), Vol. 79, No. 4, pp. 1298 - 1323, December 2008

2009

[131] S. Fiori and T. Tanaka, An Algorithm to Compute Averages on Matrix Lie Groups, IEEE Transactions on Signal Processing, Vol. 57, No. 12, pp. 4734 - 4743, December 2009

[132] S. Fiori and T. Tanaka, Learning-Machines-Committee Averages over the Unitary Group of Matrices, Proceedings of the International Symposium on Circuits and Systems (Taipei, Taiwan, May 24-27, 2009), pp. 2777 - 2781, 2009

[133] S. Fiori and T. Tanaka, Learning Averages over the Lie Group of Symmetric Positive-Definite Matrices, Proceedings of the International Joint Conference on Neural Networks (Atlanta, GA-USA, June 14-19, 2009), pp. 828 - 832, 2009

[134] S. Fiori, Learning Averages over the Lie Group of Unitary Matrices, Proceedings of the International Joint Conference on Neural Networks (Atlanta, GA-USA, June 14-19, 2009), pp. 833 - 837, 2009

[135] S. Fiori, On Vector Averaging over the Unit Hyphersphere, Digital Signal Processing (Elsevier), Vol. 19, No. 4, pp. 715 - 725, July 2009

[136] S. Fiori and P. Baldassarri, Approximate Joint Matrix Diagonalization by Riemannian-Gradient-Based Optimization over the Unitary Group (With Application to Neural Multichannel Blind Deconvolution), in "Neural Computation and Particle Accelerators: Research, Technology and Applications" (ed.s: E. Chabot and H. D'Arras, Series of Neuroscience Research Progress), NOVA Publisher, 2009

[137] S. Fiori, Computation of the Fréchet Mean, Variance and Interpolation for a Pool of Neural Networks over the Manifold of Special Orthogonal Matrices, Journal of Computational Intelligence Studies, Vol. 1, No. 1, pp. 50 - 71, 2009

[138] S. Fiori, Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices, Cognitive Computation (Springer). Vol. 1, No. 4, pp. 279 - 291, December 2009

2010

[139] S. Fiori, Optimal Stepsize Schedule for a Projection-Based Blind Deconvolution Algorithm, Proceedings of the 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2010, 14-17 December 2010, Biopolis, Singapore), pp. 393 - 399, 2010

[140] S. Fiori, A Pseudo-Riemannian-Gradient Approach to the Least-Squares Problem on the Real Symplectic Group, Proceedings of the 2010 International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010, Dallas (TX, USA), March 2010), pp. 1954 - 1957, 2010

[141] S. Fiori, Learning by Natural Gradient on Noncompact Matrix-type Pseudo-Riemannian Manifolds, IEEE Transactions on Neural Networks, Vol. 21, No. 5, pp. 841 - 852, May 2010 (PDF)

[142] S. Fiori, A Closed-Form Solution to the Problem of Averaging over the Lie Group of Special Orthogonal Matrices, in L. Zhang, J. Kwok, and B.-L. Lu (Eds.), Proceedings of the 2010 International Symposium on Neural Networks (ISNN 2010, Shanghai (China), June 2010), Part I, LNCS 6063, Springer-Verlag Berlin/Heidelberg, pp. 185 - 192, 2010

2011

[143] S. Fiori, Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere, IEEE Transactions on Neural Networks, Vol. 22, No. 12, pp. 2132 - 2138, December 2011 (PDF)

[144] S. Fiori, Averaging over the Lie Group of Optical Systems Transference Matrices, Frontiers of Electrical and Electronic Engineering in China (Springer), Special issue of the Sino foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering 2010 - Part A, Vol. 6, No. 1, pp. 137 - 145, March 2011 (PDF)

[145] S. Fiori, Visualization of Riemannian-Manifold-Valued Elements by Multidimensional Scaling, Neurocomputing, Vol. 74, No. 6, pp. 983 - 992, February 2011 (PDF)

[146] S. Fiori, Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects, IEEE Transactions on Neural Networks, Vol. 22, No. 5, pp. 687 - 700, May 2011 (PDF)

[147] S. Fiori, Solving Minimal-Distance Problems over the Manifold of Real Symplectic Matrices, SIAM Journal on Matrix Analysis and Applications, Vol. 32, No. 3, pp. 938 - 968, 2011 (PDF)

[148] S. Fiori, Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks, Proceedings of the 2011 International Conference on Neural Information Processing (ICONIP 2011, Shanghai (China), November 14-17, 2011), B.-L. Lu, L. Zhang, and J. Kwok (Eds.), Part III, LNCS 7064, pp. 365 - 372, Springer, Heidelberg, 2011

[149] 金子哲也, 田中聡久, Simone Fiori, Stiefel多様体における平均演算, 第26回信号処理シンポジウム論文集, pp.216-221, 北海道, November 2011 [T. Kaneko, T. Tanaka and S. Fiori, Averaging matrices over the Stifel manifold, in Proceeding of the 26th Signal Processing Symposium in Japan, pp. 216 - 221, Sapporo, Japan, November 2011 (in Japanese)]

2012

[150] S. Fiori, Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects, IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 1, pp. 7 - 21, January 2012 (PDF)

[151] T. Kaneko, T. Tanaka and S. Fiori, A Method to Compute Averages over the Compact Stiefel Manifold, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012, Kyoto International Conference Center (Japan), March 25 - 30, 2012), pp. 3829 - 3832, 2012

[152] S. Fiori, T. Kaneko and T. Tanaka, Learning on the Compact Stiefel Manifold by a Cayley-Transform-Based Pseudo-Retraction Map, Proceedings of the International Joint Conference on Neural Networks (WCCI-IJCNN 2012, Brisbane (Australia), June 10 - 15, 2012), pp. 3434 - 3441, 2012

2013

[153] T. Kaneko, S. Fiori and T. Tanaka, Empirical Arithmetic Averaging over the Compact Stiefel Manifold, IEEE Transactions on Signal Processing, Vol. 61, No. 4, pp. 883 - 894, February 2013 (PDF)

[154] S. Fiori, Neural System Learning on Complex-Valued Manifolds, Chapter of the contributed book "Complex-Valued Neural Networks: Advances and Applications" (A. Hirose, Editor), Wiley-IEEE Press - Computational Intelligence Book Series, Chapter 2, pp. 33 - 58, April 2013 (ISBN: 978-1-118-34460-6)

[155] S. Fiori, Fast Statistical Regression in Presence of a Dominant Independent Variable, Neural Computing and Applications (Springer), Special issue of the 2011 International Conference on Neural Information Processing - ICONIP'2011, Vol. 22, No. 7, pp. 1367 - 1378, 2013 (PDF)

[156] S. Fiori, Blind Deconvolution by a Newton Method on the Non-Unitary Hypersphere, International Journal of Adaptive Control and Signal Processing (Wiley), Vol. 27, No. 6, pp. 488 - 518, June 2013 (PDF)

[157] S. Fiori, An Isotonic Trivariate Statistical Regression Method, Advances in Data Analysis and Classification (Springer), Vol. 7, No. 2, pp. 209 - 235, 2013 (PDF)

[158] S. Fiori, Random Clouds on Matrix Lie Groups, in Proceedings of the First International Conference on Geometric Science of Information (GSI'2013, August 28-30, 2013, Paris - France). Lecture Notes in Computer Science (LNCS 8085 - Springer-Verlag Berlin Heidelberger), pp. 702 - 712, 2013

2014

[159] S. Fiori, A Two-Dimensional Poisson Equation Formulation of Non-Parametric Statistical Non-Linear Modeling, Computers and Mathematics with Applications (Elsevier), Vol. 67, No. 5, pp. 1171 — 1185, March 2014 (PDF)

[160] S. Fiori, Auto-Regressive Moving Average Models on Complex-Valued Matrix Lie Groups, Circuits, Systems & Signal Processing (Springer), Vol. 33, No. 8, pp. 2449 — 2473, 2014

[161] S. Fiori, Fast Closed-Form Trivariate Statistical Isotonic Modeling, Electronics Letters, Vol. 50, No. 9, pp. 708 — 710, April 2014 (PDF)

[162] S. Fiori, T. Kaneko and T. Tanaka, Mixed Maps for Learning a Kolmogoroff-Nagumo-Type Average Element on the Compact Stiefel Manifold, in Proceedings of the 2014 International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014, Florence (Italy), May 4-9, 2014), pp. 4518 — 4522, 2014

[163] S. Fiori, Auto-Regressive Moving-Average Discrete-Time Dynamical Systems and Autocorrelation Functions on Real-Valued Riemannian Matrix Manifolds, Discrete and Continuous Dynamical Systems - Series B (AIMS Press), Vol. 19, No. 9, pp. 2785 — 2808, November 2014

2015

[164] S. Fiori, T. Kaneko and T. Tanaka, Tangent-bundle maps on the Grassmann manifold: Application to empirical arithmetic averaging, IEEE Transactions on Signal Processing, Vol. 63, N. 1, pp. 155 — 168, January 2015 (PDF)

[165] S. Fiori and A. Bonci, Nonlinear second-order dynamical systems on Riemannian manifolds, in Proceedings of the 2015 International Conference on Modeling, Simulation and Visualization Methods (WORLDCOMP'15, Las Vegas, USA, July 27-30, 2015), pp. 16-22, July 2015 (CSREA Press, ISBN: 1-60132-419-7)

[166] S. Fiori, Kolmogoroff-Nagumo mean over the affine symplectic group of matrices, Applied Mathematics and Computation, Vol. 266, pp. 820 — 837, September 2015 (PDF)

[167] S. Fiori, T. Gong and H.K. Lee, Bivariate nonisotonic statistical regression by a lookup table neural system, Cognitive Computation, Vol. 7, No. 6, pp. 715 — 730, December 2015 (PDF)

2016

[168] T. Uehara, T. Tanaka and S. Fiori, Robust averaging of covariance matrices by Riemannian geometry for motor-imagery brain–computer interfacing, in Advances in Cognitive Neurodynamics (V) (Proceedings of the Fifth International Conference on Cognitive Neurodynamics, ICCN'2015, Sanya, China, June 3-7, 2015), pp. 347 — 353, January 2016 (ISBN: 978-981-10-0205-2)

[169] S. Fiori, Nonlinear damped oscillators on Riemannian manifolds: Fundamentals, Journal of Systems Science and Complexity (Springer), Vol. 29, No. 1, pp. 22 — 40, February 2016 (DOI: 10.1007/s11424-015-4063-7) (PDF, JSSC is the copyright owner)

[170] S. Fiori, A Riemannian steepest descent approach over the inhomogeneous symplectic group: Application to the averaging of linear optical systems, Applied Mathematics and Computation, Vol. 283, pp. 251 — 264, June 2016 (DOI: 10.1016/j.amc.2016.02.018) (PDF)

[171] S. Fiori, N. Sabino and A. Bonci, In-lab drone's attitude maneuvering fluency evaluation by a gyroscopic lurch index, in Recent Advances in Circuits, Systems, Signal Processing and Communications (Proceedings of the 10^th International Conference on Circuits, Systems, Signal and Telecommunications, Barcelona, Spain, February 13-15, 2016), pp. 37 — 46, 2016 (ISBN: 978-1-61804-366-5)

2017

[172] S. Fiori, Nonlinear damped oscillators on Riemannian manifolds: Numerical simulation, Communications in Nonlinear Science and Numerical Simulation, Vol. 47, pp. 207 — 222, June 2017 (DOI: 10.1016/j.cnsns.2016.11.025) (PDF)

[173] S. Fiori and S. Prifti, Exact low-order polynomial expressions to compute the Kolmogoroff-Nagumo mean in the affine symplectic group of optical transference matrices, Linear and Multilinear Algebra, Vol. 65, No. 4, pp. 840 — 856, 2017 (DOI: 10.1080/03081087.2016.1209732) (PDF)

[174] T. Uehara, M. Sartori, T. Tanaka and S. Fiori, Robust averaging of covariances for EEG recordings classification in motor imagery brain computer interfaces, Neural Computation, Vol. 29, No. 6, pp. 1631 — 1666, June 2017 (DOI: 10.1162/NECO_a_00963)

[175] S. Fiori, Gyroscopic signals smoothness assessment by geometric jolt estimation, Mathematical Methods in the Applied Sciences, Vol. 40, No. 16, pp. 5893 — 5905, November 2017 (DOI: 10.1002/mma.4441)

[176] S. Fiori and R. Di Filippo, An improved chaotic optimization algorithm applied to a DC electrical motor modeling, Entropy, Vol. 19, No. 12, Article No. 665, pp. 1 — 27, 2017 (DOI: 10.3390/e19120665) (Available online at the publisher as an open-access paper. As an invited paper, the article processing charges were entirely waived.)

2018

[177] J. Wang, H. Sun and S. Fiori, A Riemannian steepest descent approach for optimization on the real symplectic group, Mathematical Methods in the Applied Sciences (Wiley), Vol. 41, No. 11, pp. 4273 — 4286, July 2018 (DOI: 10.1002/mma.4890)

[178] M. Sartori, S. Fiori and T. Tanaka, An experimental study to compare CSP and TSM techniques to extract features during motor imagery tasks, Chapter 3 of the contributed book ''Signal Processing and Machine Learning for Brain-Machine Interfaces'' (T. Tanaka and M. Arvaneh, Ed.s), pp. 41 — 60, The Institution of Engineering and Technology (IET), 2018 (ISBN: 978-1-78561-398-2)

[180] S. Fiori, Non-delayed synchronization of non-autonomous dynamical systems on Riemannian manifolds and its applications, Nonlinear Dynamics (Springer), Vol. 94, No. 4, pp. 3077 — 3100, December 2018 (DOI: 10.1007/s11071-018-4546-x)

[181] A. Civita, S. Fiori and G. Romani, A mobile acquisition system and a method for hips sway fluency assessment, Information (MDPI, Special issue on "eHealth and Artificial Intelligence"), Vol. 9, No. 12, Article No. 321, December 2018 (DOI: 10.3390/info9120321) (Available online at the publisher as an open-access paper. As an invited paper, the article processing charges were entirely waived.)

2019

[182] S. Fiori, A comprehensive comparison of algorithms for the statistical modeling of non-monotone relationships via isotonic regression of transformed data, International Journal of Data Analysis Techniques and Strategies (Inderscience), Vol. 11, No. 1, pp. 29 — 57, 2019 (DOI: 10.1504/IJDATS.2019.10010384)

[184] S. N. Giles and S. Fiori, Glomerular filtration rate estimation by a novel numerical binning-less isotonic statistical bivariate regression method, Information (Special issue on "eHealth and Artificial Intelligence"), Vol. 10, No. 3, Article No. 100, March 2019 (DOI: 10.3390/info10030100) (Available online at the publisher as an open-access paper.)

[185] S. Fiori, Synchronization of first-order autonomous oscillators on Riemannian manifolds, Discrete and Continuous Dynamical Systems - Series B (AIMS), Vol. 24, No. 4, pp. 1725 — 1741, April 2019 (DOI: 10.3934/dcdsb.2018233)

[186] S. Fiori, A closed-form expression of the instantaneous rotational lurch index to evaluate its numerical approximation, Symmetry, Vol. 11, No. 10, Article No. 1208, September 2019 (DOI: 10.3390/sym11101208) (Available online at the publisher as an open-access paper.)

[187] S. Fiori, Model formulation over Lie groups and numerical methods to simulate the motion of gyrostats and quadrotors, Mathematics, Vol. 7, No. 10, Article No. 935, October 2019 (DOI: 10.3390/math7100935) (Available online at the publisher as an open-access paper.)

[188] J. Wang, H. Sun and S. Fiori, Empirical means on pseudo-orthogonal groups, Mathematics, Vol. 7, No. 10, Article No. 940, October 2019 (DOI: 10.3390/math7100940) (Available online at the publisher as an open-access paper.)

2020

[189] S. Fiori, L. Del Rossi, M. Gigli and A. Saccuti, First order and second order learning algorithms on the special orthogonal group to compute the SVD of data matrices, Electronics, Vol. 9, No. 2, Article No. 934, February 2020 (DOI: 10.3390/electronics9020334) (Available online at the publisher as an open-access paper.)

[190] D. Polucci, M. Marchetti and S. Fiori, A novel non-isotonic statistical bivariate regression method — Application to stratigraphic data modeling and interpolation, Mathematical and Computational Applications, Vol. 25, No. 1, Article No. 15, March 2020 (DOI: 10.3390/mca25010015) (Available online at the publisher as an open-access paper.)

[191] S. Fiori, A control-theoretic approach to the synchronization of second-order continuous-time dynamical systems on real connected Riemannian manifolds, SIAM Journal on Control and Optimization, Vol. 58, No. 2, pp. 787 — 813, 2020 (DOI: 10.1137/18M1235727)

[192] T. Wada, K. Fukumori, T. Tanaka and S. Fiori, Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning, PLoS ONE, Vol. 15, No. 8, pp. e0237654 (DOI: 10.1371/journal.pone.0237654)

[193] A. Koudounas and S. Fiori, Gradient-based learning methods extended to smooth manifolds, Journal of Artificial Intelligence Research, Vol. 68, pp. 777 — 816, 2020 (DOI: 10.1613/jair.1.12192)

[194] S. Fiori, I. Cervigni, M. Ippoliti and C. Menotta, Extension of a PID control theory to Lie groups applied to synchronizing satellites and drones, IET Control Theory & Applications, Vol. 14, No. 17, pp. 2628 — 2642, 2020 (DOI: 10.1049/iet-cta.2020.0226)

2021

[195] S. Fiori, Extension of PID regulators to dynamical systems on smooth manifolds (M-PID), SIAM Journal on Control and Optimization, 2021, Vol. 59, No. 1, pp. 78 — 102, January 2021. (DOI: 10.1137/19M1307743)

[196] S. Fiori, Error-based control systems on Riemannian state manifolds: Properties of the principal pushforward map associated to parallel transport, Mathematical Control and Related Fields, Vol. 11, No. 1, pp. 143 — 167, 2021 (DOI: 10.3934/mcrf.2020031)

[197] A. Bonci, S. Fiori, H. Higashi, T. Tanaka and F. Verdini, An introductory tutorial on brain-computer interfaces and their applications, Electronics, Vol. 10, No. 5, Article No. 560, February 2021 (DOI: 10.3390/electronics10050560) (Available online at the publisher as an open-access paper.)

[198] S. Fiori, Improvement and assessment of a blind image deblurring algorithm based on independent component analysis, Computation (MDPI — This article belongs to the Section Computational Engineering), Vol. 9, No. 7, Article No. 76, July 2021 (DOI: 10.3390/computation9070076) (Available online at the publisher as an open-access paper.)

[199] A. Tarsi and S. Fiori, Lie-group modeling and numerical simulation of a helicopter, Mathematics (MDPI), Vol. 9, No. 21, Article No. 2682, October 2021 (DOI: 10.3390/math9212682) (Available online at the publisher as an open-access paper.)

[200] S. Fiori, Manifold calculus in system theory and control – Fundamentals and first-order systems, Symmetry (MDPI), Vol. 13, No. 11, Article No. 2092, November 2021 (DOI: 10.3390/sym13112092) (Available online at the publisher as an open-access paper.)

2022

[201] L. Bigelli, F. Polenta and S. Fiori, Virtual attractive-repulsive potentials control theory: A review and an extension to Riemannian manifolds, Symmetry (MDPI), Vol. 14, No. 2, Article No. 257, January 2022 (DOI: 10.3390/sym14020257) (Available online at the publisher as an open-access paper.)

[202] S. Fiori, I. Cervigni, M. Ippoliti and C. Menotta, Synthetic nonlinear second-order oscillators on Riemannian manifolds and their numerical simulation, Discrete and Continuous Dynamical Systems — Series B (AIMS), Vol. 27, No. 3, pp. 1227 — 1262, 2022 (DOI: 10.3934/dcdsb.2021088)

[203] S. Fiori and L. Del Rossi, Minimal control effort and time Lie-group synchronization design based on proportional-derivative control, International Journal of Control, Vol. 95, No. 1, pp. 138 — 150, 2022 (DOI: 10.1080/00207179.2020.1780474)

[204] S. Fiori, L. Bigelli and F. Polenta, Lie-group type quadcopter control design by dynamics replacement and the virtual attractive-repulsive potentials theory, Mathematics (MDPI), Vol. 10, No. 7, Article No. 1104, March 2022 (DOI: 10.3390/math10071104) (Available online at the publisher as an open-access paper.)

[205] A.D. Cafaro and S. Fiori, Optimization of a control law to synchronize first-order dynamical systems on Riemannian manifolds by a transverse component, Discrete and Continuous Dynamical Systems — Series B (AIMS), Vol. 27, No. 7, pp. 3947 — 3969, July 2022 (DOI: 10.3934/dcdsb.2021213)

[206] S. Fiori, Manifold calculus in system theory and control – Second order structures and systems, Symmetry (MDPI), Vol. 16, No. 4, Article No. 1144, June 2022 (DOI: 10.3390/sym14061144) (Available online at the publisher as an open-access paper.)

[207] S. Fiori, I. Cervigni, M. Ippoliti and C. Menotta, Synchronization of dynamical systems on Riemannian manifolds by an extended PID-type control theory: Numerical evaluation, Discrete and Continuous Dynamical Systems — Series B (AIMS). Vol. 27, No. 12, pp. 7373 &mdash 7408, December 2022 (DOI: 10.3934/dcdsb.2022047)

2023

[208] S. Fiori and J. Wang, External identification of a reciprocal lossy multiport circuit under measurement uncertainties by Riemannian gradient descent, Energies, Vol. 16, No. 6, Article No. 2585, March 2023 (DOI: 10.3390/en16062585) (Available online at the publisher as an open-access paper.)

[209] M. Mariani and S. Fiori, Design and simulation of a neuroevolutionary controller for a quadcopter drone, Aerospace (MDPI, Special issue on "Artificial Intelligence in Drone Applications"), Aerospace, Vol. 10, No. 5, Article No. 418, April 2023 (DOI: 10.3390/aerospace10050418) (Available online at the publisher as an open-access paper.)

Technical Reports

[A] S. Fiori, T. Kaneko and T. Tanaka, Mixed Maps for Kolmogoroff-Nagumo-Type Averaging on the Compact Stiefel Manifold. Technical report available from March 7, 2013 on the arXiv public archive

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