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TAGLIAFERRI, Roberto

TAGLIAFERRI, Roberto  

Dipartimento di Scienze Aziendali - Management & Innovation Systems/DISA-MIS  

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14th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2017 1-gen-2019 Barla, A.; Bartoletti, M.; Bracciali, A.; Klau, G. W.; Peterson, L.; Policriti, A.; Tagliaferri, R.
A hierarchical Bayesian framework for nonlinearities identification in gravitational wave detector outputs 1-gen-2005 Acernese, Fausto; Barone, Fabrizio; R., DE ROSA; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A hierarchical Bayesian learning framework for autoregressive neural network modeling of time series 1-gen-2003 Acernese, Fausto; Barone, Fabrizio; R., DE ROSA; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A hierarchical Bayesian learning scheme for autoregressive neural networks 1-gen-2003 Acernese, Fausto; Barone, Fabrizio; DE ROSA, R.; Eleuteri, A.; Milano, L.; Tagliaferri, Roberto
A hierarchical Bayesian learning scheme for autoregressive neural networks: application to the CATS benchmark 1-gen-2004 Acernese, Fausto; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A Hierarchical Naural Network based approach to Virgo noise identification 1-gen-2000 Acernese, Fausto; Barone, Fabrizio; Eleuteri, A; Garufi, F; Milano, L; Tagliaferri, Roberto
A Hierarchical Neural Network-based Approach to VIRGO Noise Identification 1-gen-2000 Acernese, Fausto; F., Barone; A., Eleuteri; F., Garufi; L., Milano; Tagliaferri, Roberto
A multi-Biclustering Combinatorial Based algorithm 1-gen-2011 Ekaterina, Nosova; Raiconi, Giancarlo; Tagliaferri, Roberto
A multi-step approach to time series analysis and gene expression clustering 1-gen-2006 R., Amato; A., Ciaramella; N., Deniskina; C., DEL MONDO; D., DI BERNARDO; C., Donalek; G., Longo; G., Mangano; G., Miele; Raiconi, Giancarlo; A., Staiano; Tagliaferri, Roberto
A Neural Netowrk-based ARX Model of Virgo Noise 1-gen-1999 Barone, Fabrizio; DE ROSA, R; Eleuteri, A; Garufi, F; Milano, L; Tagliaferri, Roberto
A neural network-base identification system for Virgo seismic noise 1-gen-2001 Acernese, Fausto; Barone, Fabrizio; DE ROSA, R; Milano, L; Tagliaferri, Roberto
A neural network-based approach to noise identification of interferometric GW antennas: the case of the 40 m Caltech laser interferometer 1-gen-2002 Acernese, Fausto; Barone, Fabrizio; M., de Rosa; R., De Rosa; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A Neural Network-based ARX Model of Virgo Noise ” 1-gen-1999 Barone, Fabrizio; R., DE ROSA; A., Eleuteri; F., Garufi; L., Milano; Tagliaferri, Roberto
A novel information geometric approach to variable selection in MLP networks 1-gen-2005 Eleuteri, A.; Tagliaferri, Roberto; Milano, L.
A Novel Neural Network for Conditional Probability estimation 1-gen-2004 A., Eleuteri; Tagliaferri, Roberto; L., Milano; Acernese, Fausto
A novel neural network for survival analysis 1-gen-2003 Eleuteri, A.; Tagliaferri, Roberto; Milano, L.; DE PLACIDO, S.; DE LAURENTIIS, M.
A real-time procedure for noise uncoupling in laser interferometry 1-gen-2002 Barone, Fabrizio; R., De Rosa; A., Eleuteri; L., Milano; K., Qipiani; Tagliaferri, Roberto
A scalable reference-point based algorithm to efficiently search large chemical databases 1-gen-2010 Napolitano, Francesco; Tagliaferri, Roberto; Baldi, P.
A supervised fuzzy clustering for RBF neural networks training 1-gen-2001 Tagliaferri, Roberto; Staiano, A; Scala, D.
An adaptive reference point approach to efficiently search large chemical databases 1-gen-2014 Napolitano, Francesco; Tagliaferri, Roberto; Pierre, Baldi