OLIVERI , Paolo

Qualitative data modelling is a fundamental branch of pattern recognition, with many applications in analytical chemistry, and embraces two main families: discriminant and class-modelling methods. The first strategy is appropriate when at least two classes are meaningfully defined in the problem under study, while the second strategy is the...

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Food authenticity is a challenging analytical problem normally addressed using sophisticated laboratory methods which produce large data sets. Multivariate mathematical methods are required to process such data sets typically to answer a question such as "Is sample X, which claims to be of type A, compatible with type A samples on the basis of...

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The evaluation of the predictive ability of a model, is an essential moment of all the chemometrical techniques. So it must be performed very carefully. However, in the case of selection of relevant variables (an essential step in the case of data sets with many, frequently thousands, variables) the selection is generally performed using all...

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Representation or compression of data sets in the wavelet space is usually performed to retain the maximum variance of the original or pretreated data, like in the compression by means of principal components. In order to represent together a number of objects in the wavelet space, a common basis is required, and this common basis is usually...

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Riassunti / absract presentati al XXV Congresso della Divisione di Chimica Analitica della Società Chimica Italiana

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