{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:46:00Z","timestamp":1778798760282,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3303498","type":"journal-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T17:26:58Z","timestamp":1691602018000},"page":"1-9","source":"Crossref","is-referenced-by-count":11,"title":["Uncertainty-Based Feature Selection for Improved Adequacy of Dermoscopic Image Classification"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3753-0457","authenticated-orcid":false,"given":"Arianna","family":"Mencattini","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7489-3022","authenticated-orcid":false,"given":"Paola","family":"Casti","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3719-9976","authenticated-orcid":false,"given":"Michele","family":"D\u2019Orazio","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4658-4000","authenticated-orcid":false,"given":"Gianni","family":"Antonelli","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1253-972X","authenticated-orcid":false,"given":"Joanna","family":"Filippi","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6673-2066","authenticated-orcid":false,"given":"Eugenio","family":"Martinelli","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2019.04.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105475"},{"key":"ref15","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2019.02.005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BCWSP.2017.8272565"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3199613"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104712"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2973188"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11120-7"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3003890"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2990508"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1111\/srt.13145"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2996004"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3142060"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100276"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2012.05.017"},{"key":"ref49","first-page":"307","author":"smith","year":"1998","journal-title":"Applied regression analysis"},{"key":"ref8","article-title":"An overview of melanoma detection in dermoscopy images using image processing and machine learning","author":"mishra","year":"2016","journal-title":"arXiv 1601 07843"},{"key":"ref7","year":"2016","journal-title":"The International Skin Imaging Collaboration"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/2200000056"},{"key":"ref4","year":"2008","journal-title":"Evaluation of Measurement Data-Supplement 1 to the&#x2019;Guide to the Expression of Uncertainty in Measurement Propagation of Distributions Using a Monte Carlo Method"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2020.9200875"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MeMeA54994.2022.9856459"},{"key":"ref5","article-title":"Guide to the expression of uncertainty in measurement&#x2014;Part 6: Developing and using measurement models","year":"2020","journal-title":"Joint Committee for Guides in Metrology"},{"key":"ref40","author":"gonzalez","year":"2008","journal-title":"Digital Image Processing"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-57868-4_57"},{"key":"ref34","first-page":"181","article-title":"Practical feature subset selection for machine learning","volume":"98","author":"hall","year":"1998","journal-title":"Proc Comput Sci 21st Australas Comput Sci Conf (ACSC)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2017.12.005"},{"key":"ref31","article-title":"Correlation-based feature selection for machine learning","author":"hall","year":"1999"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103375"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2009-0364"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(03)00079-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2014.6825388"},{"key":"ref1","first-page":"1","article-title":"Evaluation of measurement data-guide to the expression of uncertainty in measurement","volume":"100","year":"2008","journal-title":"Joint Committee for Guides in Metrology"},{"key":"ref39","first-page":"175","author":"poynton","year":"1996","journal-title":"A Technical Introduction to Digital Video"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025716"},{"key":"ref24","first-page":"2360","article-title":"Variational autoencoder for deep learning of images, labels and captions","author":"pu","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"1","article-title":"Learning structured output representation using deep conditional generative models","author":"sohn","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105187"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00572"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref22","article-title":"Autoencoders","author":"bank","year":"2020","journal-title":"arXiv 2003 05991"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2976045"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3065701"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-018-1898-0"},{"key":"ref29","first-page":"249","article-title":"Multi-adversarial variational autoencoder nets for simultaneous image generation and classification","volume":"2","author":"imran","year":"2021","journal-title":"Deep Learning Applications"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10214142.pdf?arnumber=10214142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T17:49:47Z","timestamp":1695059387000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10214142\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3303498","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}