Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
Information-theoretical feature selection using data obtained by Scanning Electron Microscopy coupled with and Energy Dispersive X-ray spectrometer for the classification of glass traces
dc.contributor.author | Ramos Castro, Daniel | |
dc.contributor.author | Zadora, Grzegorz | |
dc.contributor.other | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones | es_ES |
dc.date.accessioned | 2015-02-09T15:04:21Z | |
dc.date.available | 2015-02-09T15:04:21Z | |
dc.date.issued | 2011-10-31 | |
dc.identifier.citation | Analytica Chimica Acta 705.1-2 (2011): 207 – 217 | en_US |
dc.identifier.issn | 0003-2670 (print) | en_US |
dc.identifier.issn | 1873-4324 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/663685 | |
dc.description | This is the author’s version of a work that was accepted for publication in Analytica Chimica Acta. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Analytica Chimica Acta, 705, 1-2, (2011) DOI: 10.1016/j.aca.2011.05.029 | en_US |
dc.description | A selection of papers presented at the 12th International Conference on Chemometrics in Analytical Chemistry | en_US |
dc.description.abstract | In this work, a selection of the best features for multivariate forensic glass classification using Scanning Electron Microscopy coupled with an Energy Dispersive X-ray spectrometer (SEM–EDX) has been performed. This has been motivated by the fact that the databases available for forensic glass classification are sparse nowadays, and the acquisition of SEM–EDX data is both costly and time-consuming for forensic laboratories. The database used for this work consists of 278 glass objects for which 7 variables, based on their elemental compositions obtained with SEM–EDX, are available. Two categories are considered for the classification task, namely containers and car/building windows, both of them typical in forensic casework. A multivariate model is proposed for the computation of the likelihood ratios. The feature selection process is carried out by means of an exhaustive search, with an Empirical Cross-Entropy (ECE) objective function. The ECE metric takes into account not only the discriminating power of the model in use, but also its calibration, which indicates whether or not the likelihood ratios are interpretable in a probabilistic way. Thus, the proposed model is applied to all the 63 possible univariate, bivariate and trivariate combinations taken from the 7 variables in the database, and its performance is ranked by its ECE. Results show remarkable accuracy of the best variables selected following the proposed procedure for the task of classifying glass fragments into windows (from cars or buildings) or containers, obtaining high (almost perfect) discriminating power and good calibration. This allows the proposed models to be used in casework. We also present an in-depth analysis which reveals the benefits of the proposed ECE metric as an assessment tool for classification models based on likelihood ratios. | en_US |
dc.description.sponsorship | Dr. Daniel Ramos's research is co-funded by the Universidad Autonoma de Madrid and the Comunidad Autonoma de Madrid under project CCG10-UAM/TIC-5792. Dr. Grzegorz Zadora research is co-funded by the Institute of Forensic Research under project IX/K/2009-2010. | en_US |
dc.format.extent | 36 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Elsevier BV | en_US |
dc.relation.ispartof | Analytica Chimica Acta | en_US |
dc.rights | © 2011 Elsevier B.V. All rights reserved | en_US |
dc.subject.other | Empirical Cross-Entropy | en_US |
dc.subject.other | Feature selection | en_US |
dc.subject.other | Forensic evaluation of the evidence | en_US |
dc.subject.other | Glass classification | en_US |
dc.subject.other | Likelihood ratio | en_US |
dc.subject.other | Physico-chemical multivariate data | en_US |
dc.subject.other | SEM-EDX | en_US |
dc.title | Information-theoretical feature selection using data obtained by Scanning Electron Microscopy coupled with and Energy Dispersive X-ray spectrometer for the classification of glass traces | en_US |
dc.type | article | en_US |
dc.type | conferenceObject | en |
dc.subject.eciencia | Informática | es_ES |
dc.subject.eciencia | Telecomunicaciones | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.aca.2011.05.029 | |
dc.identifier.doi | 10.1016/j.aca.2011.05.029 | |
dc.identifier.publicationfirstpage | 207 | |
dc.identifier.publicationissue | 1-2 | |
dc.identifier.publicationlastpage | 217 | |
dc.identifier.publicationvolume | 705 | |
dc.relation.eventdate | October 18-21, 2010 | en_US |
dc.relation.eventnumber | 12 | |
dc.relation.eventplace | Antwerp (Belgium) | en_US |
dc.relation.eventtitle | 12th International Conference on Chemometrics in Analytical Chemistry (CAC 2010) | en_US |
dc.type.version | info:eu-repo/semantics/submittedVersion | en |
dc.contributor.group | Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) | es_ES |
dc.rights.cc | Reconocimiento – NoComercial – SinObraDerivada | es_ES |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Escuela Politécnica Superior |