TAGLIAFERRI, Roberto
TAGLIAFERRI, Roberto
Dipartimento di Scienze Aziendali - Management & Innovation Systems/DISA-MIS
14th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2017
2019-01-01 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
2005-01-01 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
2003-01-01 Acernese, Fausto; Barone, Fabrizio; R., DE ROSA; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A hierarchical Bayesian learning scheme for autoregressive neural networks
2003-01-01 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
2004-01-01 Acernese, Fausto; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A Hierarchical Naural Network based approach to Virgo noise identification
2000-01-01 Acernese, Fausto; Barone, Fabrizio; Eleuteri, A; Garufi, F; Milano, L; Tagliaferri, Roberto
A Hierarchical Neural Network-based Approach to VIRGO Noise Identification
2000-01-01 Acernese, Fausto; F., Barone; A., Eleuteri; F., Garufi; L., Milano; Tagliaferri, Roberto
A multi-Biclustering Combinatorial Based algorithm
2011-01-01 Ekaterina, Nosova; Raiconi, Giancarlo; Tagliaferri, Roberto
A multi-step approach to time series analysis and gene expression clustering
2006-01-01 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
1999-01-01 Barone, Fabrizio; DE ROSA, R; Eleuteri, A; Garufi, F; Milano, L; Tagliaferri, Roberto
A neural network-base identification system for Virgo seismic noise
2001-01-01 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
2002-01-01 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 ”
1999-01-01 Barone, Fabrizio; R., DE ROSA; A., Eleuteri; F., Garufi; L., Milano; Tagliaferri, Roberto
A novel information geometric approach to variable selection in MLP networks
2005-01-01 Eleuteri, A.; Tagliaferri, Roberto; Milano, L.
A Novel Neural Network for Conditional Probability estimation
2004-01-01 A., Eleuteri; Tagliaferri, Roberto; L., Milano; Acernese, Fausto
A novel neural network for survival analysis
2003-01-01 Eleuteri, A.; Tagliaferri, Roberto; Milano, L.; DE PLACIDO, S.; DE LAURENTIIS, M.
A real-time procedure for noise uncoupling in laser interferometry
2002-01-01 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
2010-01-01 Napolitano, Francesco; Tagliaferri, Roberto; Baldi, P.
A supervised fuzzy clustering for RBF neural networks training
2001-01-01 Tagliaferri, Roberto; Staiano, A; Scala, D.
An adaptive reference point approach to efficiently search large chemical databases
2014-01-01 Napolitano, Francesco; Tagliaferri, Roberto; Pierre, Baldi
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
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 |