M. Pardo

发表

Comparing the performance of different features in sensor arrays

G. Sberveglieri, M. Pardo, 2007 .

Data analysis for a hybrid sensor array

L. G. Kwong, G. Sberveglieri, M. Pardo, 2005 .

Decompositive classification models for electronic noses

F. Masulli, G. Valentini, A. Taroni, 2001 .

Early detection of microbial contamination in processed tomatoes by electronic nose.

E. Gobbi, M. Falasconi, G. Sberveglieri, 2009 .

Electronic Olfactory Systems Based on Metal Oxide Semiconductor Sensor Arrays

G. Sberveglieri, M. Pardo, 2004 .

Comparison of Fisher's linear discriminant to multilayer perceptron networks in the classification of vapors using sensor array data

N. Lewis, B. Sisk, G. Sberveglieri, 2006 .

Feature selection for high dimensionality data in chemical sensing

J. Gardner, G. Sberveglieri, M. Pardo, 2005, Italian National Conference on Sensors.

MULTIPLE CLASSIFIERS FOR ELECTRONIC NOSE DATA

M. Pardo, G. Infm, D. Casa, 2022 .

Micromachined gas sensors for environmental pollutants

Gian Carlo Cardinali, Giorgio Sberveglieri, Elisabetta Comini, 1999 .

Classifier comparison and sensor selection for e-noses

N. Lewis, B. Sisk, G. Sberveglieri, 2003, Proceedings of IEEE Sensors 2003 (IEEE Cat. No.03CH37498).

Exploratory data analysis for industrial safety application

Giorgio Sberveglieri, Matteo Falasconi, M. Pardo, 2008 .

Reliability Neuro-Control of an Array of Sensors by Cross-Monitoring of Working-State

Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri, 1999, IIA/SOCO.

Classification of electronic nose data with support vector machines

M. Pardo, Giorgio Sberveglieri, G. Sberveglieri, 2005 .

Random forests and nearest shrunken centroids for the classification of sensor array data

M. Pardo, Giorgio Sberveglieri, G. Sberveglieri, 2008 .

Remarks on the use of multilayer perceptrons for the analysis of chemical sensor array data

M. Pardo, G. Sberveglieri, G. Sberveglieri, 2004, IEEE Sensors Journal.

Methods and Graphical Tools for Exploratory Data Analysis of Artificial Olfaction Experiments

Matteo Falasconi, M. Pardo, Giorgio Sberveglieri, 2013 .

Cluster validation for electronic nose data

Matteo Falasconi, M. Pardo, Giorgio Sberveglieri, 2007 .

Differentiation of the volatile profile of microbiologically contaminated canned tomatoes by dynamic headspace extraction followed by gas chromatography-mass spectrometry analysis.

M. Falasconi, G. Sberveglieri, M. Pardo, 2009, Talanta.

A stability based validity method for fuzzy clustering

Matteo Pardo, Giorgio Sberveglieri, Matteo Falasconi, 2010, Pattern Recognit..

Study of white truffle aging with SPME-GC-MS and the Pico2-electronic nose

Giorgio Sberveglieri, Matteo Falasconi, M. Pardo, 2005 .

Coffee analysis with an electronic nose

Matteo Pardo, Giorgio Sberveglieri, G. Sberveglieri, 2002, IEEE Trans. Instrum. Meas..

Semiconducting tin oxide nanowires and thin films for Chemical Warfare Agents detection

Matteo Ferroni, Giorgio Sberveglieri, Camilla Baratto, 2009 .

Metal Oxide Nanowire and Thin-Film-Based Gas Sensors for Chemical Warfare Simulants Detection

M. Pardo, C. Baratto, G. Sberveglieri, 2008, IEEE Sensors Journal.

The novel EOS835 electronic nose and data analysis for evaluating coffee ripening

Matteo Falasconi, M. Pardo, Giorgio Sberveglieri, 2005 .

Detection of toxigenic strains of Fusarium verticillioides in corn by electronic olfactory system

Giorgio Sberveglieri, Matteo Falasconi, Matteo Della Torre, 2005 .

Learning from data: a tutorial with emphasis on modern pattern recognition methods

M. Pardo, Giorgio Sberveglieri, G. Sberveglieri, 2002 .

Monitoring plants health in greenhouse for space missions

Giorgio Sberveglieri, Camilla Baratto, M. Pardo, 2005 .

Data preprocessing enhances the classification of different brands of Espresso coffee with an electronic nose

Ingemar Lundström, Martin Holmberg, Elisabetta Comini, 2000 .

A time delay neural network for estimation of gas concentrations in a mixture

Massimo Riani, Francesco Masulli, Guido Faglia, 2000 .

Boosting and Classification of Electronic Nose Data

Giorgio Valentini, Francesco Masulli, Matteo Pardo, 2002, Multiple Classifier Systems.

Electronic nose for coffee quality control

Giorgio Sberveglieri, M. Pardo, Guido Faglia, 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).