Classification of electronic nose data with support vector machines M Pardo, G Sberveglieri Sensors and Actuators B: Chemical 107 (2), 730-737, 2005 | 271 | 2005 |
Early detection of microbial contamination in processed tomatoes by electronic nose I Concina, M Falasconi, E Gobbi, F Bianchi, M Musci, M Mattarozzi, ... Food Control 20 (10), 873-880, 2009 | 210 | 2009 |
Data preprocessing enhances the classification of different brands of Espresso coffee with an electronic nose M Pardo, G Niederjaufner, G Benussi, E Comini, G Faglia, G Sberveglieri, ... Sensors and Actuators B: Chemical 69 (3), 397-403, 2000 | 132 | 2000 |
Detection of toxigenic strains of Fusarium verticillioides in corn by electronic olfactory system M Falasconi, E Gobbi, M Pardo, M Della Torre, A Bresciani, G Sberveglieri Sensors and Actuators B: Chemical 108 (1-2), 250-257, 2005 | 128 | 2005 |
Semi-supervised learning techniques in artificial olfaction: A novel approach to classification problems and drift counteraction S De Vito, G Fattoruso, M Pardo, F Tortorella, G Di Francia IEEE Sensors Journal 12 (11), 3215-3224, 2012 | 123 | 2012 |
The novel EOS835 electronic nose and data analysis for evaluating coffee ripening M Falasconi, M Pardo, G Sberveglieri, I Riccò, A Bresciani Sensors and Actuators B: Chemical 110 (1), 73-80, 2005 | 123 | 2005 |
Coffee analysis with an electronic nose M Pardo, G Sberveglieri IEEE Transactions on Instrumentation and Measurement 51 (6), 1334-1339, 2002 | 104 | 2002 |
Learning from data: A tutorial with emphasis on modern pattern recognition methods M Pardo, G Sberveglieri IEEE Sensors Journal 2 (3), 203-217, 2002 | 92 | 2002 |
Data analysis for a hybrid sensor array M Pardo, LG Kwong, G Sberveglieri, K Brubaker, JF Schneider, ... Sensors and Actuators B: Chemical 106 (1), 136-143, 2005 | 71 | 2005 |
Metal oxide nanowire and thin-film-based gas sensors for chemical warfare simulants detection A Ponzoni, C Baratto, S Bianchi, E Comini, M Ferroni, M Pardo, M Vezzoli, ... IEEE Sensors Journal 8 (6), 735-742, 2008 | 70 | 2008 |
Semiconducting tin oxide nanowires and thin films for chemical warfare agents detection G Sberveglieri, C Baratto, E Comini, G Faglia, M Ferroni, M Pardo, ... Thin Solid Films 517 (22), 6156-6160, 2009 | 64 | 2009 |
Remarks on the use of multilayer perceptrons for the analysis of chemical sensor array data M Pardo, G Sberveglieri IEEE Sensors Journal 4 (3), 355-363, 2004 | 63 | 2004 |
Comparing the performance of different features in sensor arrays M Pardo, G Sberveglieri Sensors and Actuators B: Chemical 123 (1), 437-443, 2007 | 62 | 2007 |
Random forests and nearest shrunken centroids for the classification of sensor array data M Pardo, G Sberveglieri Sensors and Actuators B: Chemical 131 (1), 93-99, 2008 | 60 | 2008 |
Electronic olfactory systems based on metal oxide semiconductor sensor arrays M Pardo, G Sberveglieri MRS bulletin 29 (10), 703-708, 2004 | 59 | 2004 |
Monitoring plants health in greenhouse for space missions C Baratto, G Faglia, M Pardo, M Vezzoli, L Boarino, M Maffei, S Bossi, ... Sensors and Actuators B: Chemical 108 (1-2), 278-284, 2005 | 57 | 2005 |
Study of white truffle aging with SPME-GC-MS and the Pico2-electronic nose M Falasconi, M Pardo, G Sberveglieri, F Battistutta, M Piloni, R Zironi Sensors and Actuators B: Chemical 106 (1), 88-94, 2005 | 57 | 2005 |
A time delay neural network for estimation of gas concentrations in a mixture M Pardo, G Faglia, G Sberveglieri, M Corte, F Masulli, M Riani Sensors and Actuators B: Chemical 65 (1-3), 267-269, 2000 | 53 | 2000 |
Differentiation of the volatile profile of microbiologically contaminated canned tomatoes by dynamic headspace extraction followed by gas chromatography–mass spectrometry analysis F Bianchi, M Careri, A Mangia, M Mattarozzi, M Musci, I Concina, ... Talanta 77 (3), 962-970, 2009 | 47 | 2009 |
A stability based validity method for fuzzy clustering M Falasconi, A Gutierrez, M Pardo, G Sberveglieri, S Marco Pattern Recognition 43 (4), 1292-1305, 2010 | 46 | 2010 |