PARDO, MATTEO
PARDO, MATTEO
ASR - Direzione Generale
Combined human genome-wide RNAi and metabolite analyses identify IMPDH as a host-directed target against Chlamydia infection
2018 Rother, M; Gonzalez, E; R Teixeira da Costa, A; Wask, L; Gravenstein, I; Pardo, M; Pietzke, M; Kumar Gurumurthy, R; Angermann, J; Laudeley, R; Sglage, ; Meyer, M; Chumduri, C; Kempa, S; Dinkel, Kl; Unger, A; Klebl, B; Klos, A; F Meyer, T
Semi-Supervised Learning Techniques in Artificial Olfaction: A Novel Approach to Classification Problems and Drift Counteraction
2012 S. De Vito; G. Fattoruso; M. Pardo; F. Tortorella;G. Di Francia
A stability based validity method for fuzzy clustering
2010 Falasconi, M.; Gutierrez, A.; Pardo, M.; Sberveglieri, G.; Marco, S.
Analysis of the dynamic features of metal oxide sensors in response to SPME fiber gas release
2010 Setkus A ; Olekas A ; Senuliene D ; Falasconi M ; Pardo M ; Sberveglieri G.
Differentiation of the volatile profile of microbiologically contaminated canned tomatoes by dynamic headspace extraction followed by gas chromatography-mass spectrometry analysis
2009 Bianchi, F. ; Careri, M. ; Mangia, A. ; Mattarozzi, M. ; Musci, M.; Concina, I. ; Falasconi, M. ; Gobbi, E. ; Pardo, M. ; Sberveglieri, G.
Early detection of microbial contamination in processed tomatoes by electronic nose
2009 Concina, I; M, Falasconi; E, Gobbi; Bianchi, F; Musci, M; Mattarozzi, M; Pardo, M; Mangia, A; Careri, M; Sberveglieri, G
Semiconducting tin oxide nanowires and thin films for Chemical Warfare Agents detection
2009 Sberveglieri, G. ; Baratto, C.; Comini, E.; Faglia, G.; Ferroni, M.; Pardo, M.; Ponzoni, A.; Vomiero, A
Exploratory data analysis for industrial safety application
2008 Vezzoli, M.; Ponzoni, A.; Pardo, M.; Falasconi, M.; Faglia, G.; Sberveglieri, G.
Metal oxide nanowire and thin-film-based gas sensors for chemical warfare simulants detection
2008 Ponzoni, A; Baratto, C; Bianchi, S; Comini, E; Ferroni, M; Pardo, M; Vezzoli, M; Vomiero, A; Faglia, G; Sberveglieri, G
Random forests and nearest shrunken centroids for the classification of sensor array data
2008 Pardo, Matteo; Sberveglieri, Giorgio
Cluster validation for electronic nose data
2007 Falasconi, M; Pardo, M; Vezzoli, M; Sberveglieri, G
Comparing the performance of different features in sensor arrays
2007 Pardo, M; Sberveglieri, G
Comparison of Fisher's linear discriminant to multilayer perceptron networks in the classification of vapors using sensor array data
2006 Pardo, M; Sisk, BC; Sberveglieri, G; Lewis, NS
Classification of electronic nose data with support vector machines
2005 Pardo, Matteo; Sberveglieri, Giorgio
Data analysis for a hybrid sensor array
2005 Pardo, M; Kwong, Lg; Sberveglieri, G; Brubaker, K; Schneider, Jf; Penrose, Wr; Stetter, Jr
Detection of toxigenic strains of Fusarium verticillioides in corn by electronic olfactory system
2005 Falasconi, M; Gobbi, E; Pardo, M; Della Torre, M; Bresciani, A; Sberveglieri, G
Monitoring plants health in greenhouse for space missions
2005 Baratto, C; Faglia, G; Pardo, M; Vezzoli, M; Boarino, L; Maffei, M; Bossi, S; Sberveglieri, ; G,
Study of white truffle aging with SPME-GC-MS and the Pico2-electronic nose
2005 Falasconi M;Pardo M;Sberveglieri G;Battistutta F;Piloni M;Zironi; R
The novel EOS835 electronic nose and data analysis for evaluating coffee ripening
2005 Falasconi, ; Pardo, Matteo; Sberveglieri, Giorgio; Riccò, ; Bresciani,
Electronic olfactory systems based on metal oxide semiconductor sensor arrays
2004 Pardo, M.; Sberveglieri, G.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Combined human genome-wide RNAi and metabolite analyses identify IMPDH as a host-directed target against Chlamydia infection | 1-gen-2018 | Rother, M; Gonzalez, E; R Teixeira da Costa, A; Wask, L; Gravenstein, I; Pardo, M; Pietzke, M; Kumar Gurumurthy, R; Angermann, J; Laudeley, R; Sglage, ; Meyer, M; Chumduri, C; Kempa, S; Dinkel, Kl; Unger, A; Klebl, B; Klos, A; F Meyer, T | |
Semi-Supervised Learning Techniques in Artificial Olfaction: A Novel Approach to Classification Problems and Drift Counteraction | 1-gen-2012 | S. De Vito; G. Fattoruso; M. Pardo; F. Tortorella;G. Di Francia | |
A stability based validity method for fuzzy clustering | 1-gen-2010 | Falasconi, M.; Gutierrez, A.; Pardo, M.; Sberveglieri, G.; Marco, S. | |
Analysis of the dynamic features of metal oxide sensors in response to SPME fiber gas release | 1-gen-2010 | Setkus A ; Olekas A ; Senuliene D ; Falasconi M ; Pardo M ; Sberveglieri G. | |
Differentiation of the volatile profile of microbiologically contaminated canned tomatoes by dynamic headspace extraction followed by gas chromatography-mass spectrometry analysis | 1-gen-2009 | Bianchi, F. ; Careri, M. ; Mangia, A. ; Mattarozzi, M. ; Musci, M.; Concina, I. ; Falasconi, M. ; Gobbi, E. ; Pardo, M. ; Sberveglieri, G. | |
Early detection of microbial contamination in processed tomatoes by electronic nose | 1-gen-2009 | Concina, I; M, Falasconi; E, Gobbi; Bianchi, F; Musci, M; Mattarozzi, M; Pardo, M; Mangia, A; Careri, M; Sberveglieri, G | |
Semiconducting tin oxide nanowires and thin films for Chemical Warfare Agents detection | 1-gen-2009 | Sberveglieri, G. ; Baratto, C.; Comini, E.; Faglia, G.; Ferroni, M.; Pardo, M.; Ponzoni, A.; Vomiero, A | |
Exploratory data analysis for industrial safety application | 1-gen-2008 | Vezzoli, M.; Ponzoni, A.; Pardo, M.; Falasconi, M.; Faglia, G.; Sberveglieri, G. | |
Metal oxide nanowire and thin-film-based gas sensors for chemical warfare simulants detection | 1-gen-2008 | Ponzoni, A; Baratto, C; Bianchi, S; Comini, E; Ferroni, M; Pardo, M; Vezzoli, M; Vomiero, A; Faglia, G; Sberveglieri, G | |
Random forests and nearest shrunken centroids for the classification of sensor array data | 1-gen-2008 | Pardo, Matteo; Sberveglieri, Giorgio | |
Cluster validation for electronic nose data | 1-gen-2007 | Falasconi, M; Pardo, M; Vezzoli, M; Sberveglieri, G | |
Comparing the performance of different features in sensor arrays | 1-gen-2007 | Pardo, M; Sberveglieri, G | |
Comparison of Fisher's linear discriminant to multilayer perceptron networks in the classification of vapors using sensor array data | 1-gen-2006 | Pardo, M; Sisk, BC; Sberveglieri, G; Lewis, NS | |
Classification of electronic nose data with support vector machines | 1-gen-2005 | Pardo, Matteo; Sberveglieri, Giorgio | |
Data analysis for a hybrid sensor array | 1-gen-2005 | Pardo, M; Kwong, Lg; Sberveglieri, G; Brubaker, K; Schneider, Jf; Penrose, Wr; Stetter, Jr | |
Detection of toxigenic strains of Fusarium verticillioides in corn by electronic olfactory system | 1-gen-2005 | Falasconi, M; Gobbi, E; Pardo, M; Della Torre, M; Bresciani, A; Sberveglieri, G | |
Monitoring plants health in greenhouse for space missions | 1-gen-2005 | Baratto, C; Faglia, G; Pardo, M; Vezzoli, M; Boarino, L; Maffei, M; Bossi, S; Sberveglieri, ; G, | |
Study of white truffle aging with SPME-GC-MS and the Pico2-electronic nose | 1-gen-2005 | Falasconi M;Pardo M;Sberveglieri G;Battistutta F;Piloni M;Zironi; R | |
The novel EOS835 electronic nose and data analysis for evaluating coffee ripening | 1-gen-2005 | Falasconi, ; Pardo, Matteo; Sberveglieri, Giorgio; Riccò, ; Bresciani, | |
Electronic olfactory systems based on metal oxide semiconductor sensor arrays | 1-gen-2004 | Pardo, M.; Sberveglieri, G. |