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PARDO, MATTEO

PARDO, MATTEO  

ASR - Direzione Generale  

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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.