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 Barla, A.; Bartoletti, M.; Bracciali, A.; Klau, G. W.; Peterson, L.; Policriti, A.; Tagliaferri, R.
A cellular automata to simulate the growth and death of a cell culture
2016 Guerrisi, Giuseppe; Giordano, Deborah; Marabotti, Anna; Raiconi, Giancarlo; Tagliaferri, Roberto
A Combinatoric biclustering algorithm
2011 Ekaterina, Nosova; Raiconi, Giancarlo; Tagliaferri, Roberto
A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection
2020 Ciaparrone, G.; Bardozzo, F.; Delli Priscoli, M.; Londono Kallewaard, J.; Zuluaga, M. R.; Tagliaferri, R.
A comparison of deep learning models for end-to-end face-based video retrieval in unconstrained videos
2022 Ciaparrone, G.; Chiariglione, L.; Tagliaferri, R.
A deep learning approach for road damage classification
2019 Ciaparrone, Gioele; Serra, Angela; Covito, Vito; Finelli, Paolo; Scarpato, Carlo Alberto; Tagliaferri, Roberto
A hierarchical Bayesian framework for nonlinearities identification in gravitational wave detector outputs
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
2003 Acernese, Fausto; Barone, Fabrizio; R., DE ROSA; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A hierarchical Bayesian learning scheme for autoregressive neural networks
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
2004 Acernese, Fausto; A., Eleuteri; L., Milano; Tagliaferri, Roberto
A Hierarchical Naural Network based approach to Virgo noise identification
2000 Acernese, Fausto; Barone, Fabrizio; Eleuteri, A; Garufi, F; Milano, L; Tagliaferri, Roberto
A Hierarchical Neural Network-based Approach to VIRGO Noise Identification
2000 Acernese, Fausto; F., Barone; A., Eleuteri; F., Garufi; L., Milano; Tagliaferri, Roberto
A multi-Biclustering Combinatorial Based algorithm
2011 Ekaterina, Nosova; Raiconi, Giancarlo; Tagliaferri, Roberto
A multi-step approach to time series analysis and gene expression clustering
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 multi-view genomic data simulator
2015 Fratello, Michele; Serra, Angela; Fortino, Vittorio; Raiconi, Giancarlo; Tagliaferri, Roberto; Greco, Dario
A multifrequency analysis of radio variability of blazars
2004 Ciaramella, A.; Bongardo, C.; Aller, H. D.; Aller, M. F.; De Zotti, G.; Lähteenmaki, A.; Longo, G.; Milano, L.; Tagliaferri, Roberto; Teräsranta, H.; Tornikoski, M.; Urpo, S.
A multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine
2021 Dotolo, Serena; Marabotti, Anna; Rachiglio, Anna Maria; Esposito Abate, Riziero; Benedetto, Marco; Ciardiello, Fortunato; De Luca, Antonella; Normanno, Nicola; Facchiano, Angelo; Tagliaferri, Roberto
A Neural Netowrk-based ARX Model of Virgo Noise
1999 Barone, Fabrizio; DE ROSA, R; Eleuteri, A; Garufi, F; Milano, L; Tagliaferri, Roberto
A neural network-base identification system for Virgo seismic noise
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
2002 Acernese, Fausto; Barone, Fabrizio; M., de Rosa; R., De Rosa; A., Eleuteri; L., Milano; Tagliaferri, Roberto
| 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 cellular automata to simulate the growth and death of a cell culture | 1-gen-2016 | Guerrisi, Giuseppe; Giordano, Deborah; Marabotti, Anna; Raiconi, Giancarlo; Tagliaferri, Roberto | |
| A Combinatoric biclustering algorithm | 1-gen-2011 | Ekaterina, Nosova; Raiconi, Giancarlo; Tagliaferri, Roberto | |
| A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection | 1-gen-2020 | Ciaparrone, G.; Bardozzo, F.; Delli Priscoli, M.; Londono Kallewaard, J.; Zuluaga, M. R.; Tagliaferri, R. | |
| A comparison of deep learning models for end-to-end face-based video retrieval in unconstrained videos | 1-gen-2022 | Ciaparrone, G.; Chiariglione, L.; Tagliaferri, R. | |
| A deep learning approach for road damage classification | 1-gen-2019 | Ciaparrone, Gioele; Serra, Angela; Covito, Vito; Finelli, Paolo; Scarpato, Carlo Alberto; Tagliaferri, Roberto | |
| 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 multi-view genomic data simulator | 1-gen-2015 | Fratello, Michele; Serra, Angela; Fortino, Vittorio; Raiconi, Giancarlo; Tagliaferri, Roberto; Greco, Dario | |
| A multifrequency analysis of radio variability of blazars | 1-gen-2004 | Ciaramella, A.; Bongardo, C.; Aller, H. D.; Aller, M. F.; De Zotti, G.; Lähteenmaki, A.; Longo, G.; Milano, L.; Tagliaferri, Roberto; Teräsranta, H.; Tornikoski, M.; Urpo, S. | |
| A multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine | 1-gen-2021 | Dotolo, Serena; Marabotti, Anna; Rachiglio, Anna Maria; Esposito Abate, Riziero; Benedetto, Marco; Ciardiello, Fortunato; De Luca, Antonella; Normanno, Nicola; Facchiano, Angelo; 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 |