{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T19:12:29Z","timestamp":1723662749373},"reference-count":26,"publisher":"Informa UK Limited","issue":"1","funder":[{"name":"Onderzoeksprogramma Artifici\u00eble Intelligentie (AI) Vlaanderen"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational and Graphical Statistics"],"published-print":{"date-parts":[[2023,1,2]]},"DOI":"10.1080\/10618600.2022.2096621","type":"journal-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T18:58:41Z","timestamp":1657220321000},"page":"319-328","update-policy":"http:\/\/dx.doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":3,"title":["A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios"],"prefix":"10.1080","volume":"32","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-2451-8982","authenticated-orcid":false,"given":"Matthys Lucas","family":"Steyn","sequence":"first","affiliation":[{"name":"Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa;"},{"name":"Department of Data Analysis and Mathematical Modelling, Ghent University, Gent, Belgium"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3658-6811","authenticated-orcid":false,"given":"Tertius","family":"de Wet","sequence":"additional","affiliation":[{"name":"Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa;"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3876-620X","authenticated-orcid":false,"given":"Bernard","family":"De Baets","sequence":"additional","affiliation":[{"name":"Department of Data Analysis and Mathematical Modelling, Ghent University, Gent, Belgium"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6781-7870","authenticated-orcid":false,"given":"Stijn","family":"Luca","sequence":"additional","affiliation":[{"name":"Department of Data Analysis and Mathematical Modelling, Ghent University, Gent, Belgium"}]}],"member":"301","published-online":{"date-parts":[[2022,8,30]]},"reference":[{"key":"CIT0001","doi-asserted-by":"publisher","DOI":"10.3150\/bj\/1137421635"},{"key":"CIT0002","volume-title":"Probability and Statistics","author":"Beirlant J.","year":"2004","edition":"1"},{"key":"CIT0003","first-page":"1563","author":"Bendale A.","year":"2016","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR"},{"key":"CIT0004","unstructured":"Cornell Lab of Ornithology (2020), \u201cCornell Birdcall Identification,\u201d available at https:\/\/www.kaggle.com\/c\/birdsong-recognition\/data. Accessed May 2021."},{"key":"CIT0005","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1990.tb01796.x"},{"key":"CIT0006","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2014.10.014"},{"key":"CIT0007","unstructured":"Geng, C., Huang, S., and Chen, S. (2018), \u201cRecent Advances in Open Set Recognition: A Survey,\u201d CoRR, http:\/\/arxiv.org\/abs\/1811.08581."},{"key":"CIT0008","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_26"},{"key":"CIT0009","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5610-8"},{"key":"CIT0010","unstructured":"Krizhevsky, A. (2009), Learning Multiple Layers of Features from Tiny Images. Available at https:\/\/www.cs.toronto.edu\/\u223ckriz\/learning-features-2009-TR.pdf."},{"key":"CIT0011","doi-asserted-by":"publisher","DOI":"10.1145\/2833157.2833162"},{"key":"CIT0012","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"CIT0013","volume-title":"), Quantitative Risk Management: Concepts, Techniques and Tools","author":"McNeil A.","year":"2015"},{"key":"CIT0014","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-38343-3"},{"key":"CIT0015","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.12.026"},{"key":"CIT0016","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2707495"},{"key":"CIT0017","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321392"},{"key":"CIT0018","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.54"},{"key":"CIT0019","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.256"},{"key":"CIT0020","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2020.1807997"},{"key":"CIT0021","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2019.1617160"},{"key":"CIT0022","unstructured":"Vignotto, E., and Engelke, S. (2018), \u201cExtreme Value Theory for Open Set Classification \u2013 GPD and GEV Classifiers,\u201d https:\/\/arxiv.org\/abs\/1808.09902."},{"key":"CIT0023","unstructured":"Weng, T.W., Zhang, H., Chen, P.Y., Yi, J., Su, D., Gao, Y., Hsieh, C.J., and Daniel, L. (2018), \u201cEvaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,\u201d arXiv preprint arXiv:1801.10578."},{"key":"CIT0024","unstructured":"Yang, J., Zhou, K., Li, Y., and Liu, Z. (2021), \u201cGeneralized Out-of-Distribution Detection: A Survey,\u201d https:\/\/arxiv.org\/abs\/2110.11334."},{"key":"CIT0025","first-page":"1","volume":"20","author":"Zhao Y.","year":"2019","journal-title":"Journal of Machine Learning Research"},{"key":"CIT0026","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2013.09.006"}],"container-title":["Journal of Computational and Graphical Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10618600.2022.2096621","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T21:25:16Z","timestamp":1677792316000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2022.2096621"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,30]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,2]]}},"alternative-id":["10.1080\/10618600.2022.2096621"],"URL":"https:\/\/doi.org\/10.1080\/10618600.2022.2096621","relation":{},"ISSN":["1061-8600","1537-2715"],"issn-type":[{"value":"1061-8600","type":"print"},{"value":"1537-2715","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,30]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-09-19","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-06-22","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-08-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}