{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T12:26:18Z","timestamp":1742646378289,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"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":[],"published-print":{"date-parts":[[2023,9,24]]},"DOI":"10.1109\/itsc57777.2023.10422705","type":"proceedings-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T23:32:39Z","timestamp":1707867159000},"page":"1221-1226","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised Traffic Sign Classification Relying on Explanatory Visible Factors"],"prefix":"10.1109","author":[{"given":"Wilfried","family":"W\u00f6ber","sequence":"first","affiliation":[{"name":"UAS Technikum Wien,Department Industrial Engineering,Vienna,Austria,1200"}]},{"given":"Jakub","family":"Waikat","sequence":"additional","affiliation":[{"name":"Siemens Energy Austria GmbH,AI and Analytics,Vienna,Austria,1210"}]},{"given":"Lars","family":"Mehnen","sequence":"additional","affiliation":[{"name":"UAS Technikum Wien,Department of Computer Sciences,Vienna,1200"}]},{"given":"Cristina","family":"Olaverri-Monreal","sequence":"additional","affiliation":[{"name":"Johannes Kepler University Linz,Chair ITS-Sustainable Transport Logistics 4.0,Linz,4040"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02907-4_16"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/app10186317"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3060483"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.07.015"},{"key":"ref7","article-title":"Deep learning: A critical appraisal","author":"Marcus","year":"2018","journal-title":"CoRR"},{"volume-title":"The Book of Why: The New Science of Cause and Effect","year":"2018","author":"Pearl","key":"ref8"},{"article-title":"Paradigmatic revolutions in computer vision","volume-title":"I Cant Believe Its Not Better Workshop: Understanding Deep Learning Through Empirical Falsification","author":"Kriegler","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-08987-4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0249593"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01400-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/iccve45908.2019.8964883"},{"key":"ref18","first-page":"844","article-title":"Bayesian gaussian process latent variable model","volume-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATS, 2010","author":"Titsias"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE55066.2022.9882726"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.016"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.232"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref24","article-title":"An empirical evaluation of deep learning on highway driving","author":"Huval","year":"2015","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.01.005"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.023"},{"key":"ref27","article-title":"Detecting out-of-distribution traffic signs","volume-title":"Proceedings of the ARW & OAGM Workshop","author":"Iyengar","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1991.139758"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_1"},{"journal-title":"Explainable Artificial Intelligence: Analyse und Visualisierung des Lernprozesses eines Convolutional Neural Network zur Erkennung deutscher Stra\u00dfenverkehrss-childer","year":"2021","author":"Maasjosthusmann","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00175"},{"key":"ref33","first-page":"567","article-title":"Variational learning of inducing variables in sparse gaussian processes","volume-title":"Proceedings of the Twelth International Conference on Artificial Intelligence and Statistics, ser. Proceedings of Machine Learning Research","volume":"5","author":"Titsias"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1285773"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015565"},{"key":"ref36","article-title":"Gaussian processes for global optimization","volume-title":"3rd International Conference on Learning and Intelligent Optimization (LION3)","author":"Osborne","year":"2009"},{"article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2\u20134, 2016, Conference Track Proceedings","author":"Radford","key":"ref37"},{"article-title":"GPy: A gaussian process framework in python","volume-title":"GPy","year":"2012","key":"ref38"},{"key":"ref39","article-title":"The OpenCV Library","author":"Bradski","year":"2000","journal-title":"Dr. Dobbs Journal of Software Tools"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"key":"ref41","article-title":"e1071: Misc functions of the department of statistics, probability theory group (formerly: E1071), tu wien","author":"Meyer","year":"2017","journal-title":"R package version 1.6\u20138"},{"volume-title":"Keras","year":"2015","author":"Chollet","key":"ref42"},{"key":"ref43","first-page":"207","article-title":"Deep gaussian processes","volume-title":"Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, ser. Proceedings of Machine Learning Research","volume":"31","author":"Damianou"}],"event":{"name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","start":{"date-parts":[[2023,9,24]]},"location":"Bilbao, Spain","end":{"date-parts":[[2023,9,28]]}},"container-title":["2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10420842\/10420843\/10422705.pdf?arnumber=10422705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T21:09:04Z","timestamp":1710364144000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10422705\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,24]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/itsc57777.2023.10422705","relation":{},"subject":[],"published":{"date-parts":[[2023,9,24]]}}}