{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:59:19Z","timestamp":1782968359257,"version":"3.54.5"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Korean Government [Ministry of Science and ICT (MSIT)]","doi-asserted-by":"publisher","award":["NRF-2022R1A2B5B01001889"],"award-info":[{"award-number":["NRF-2022R1A2B5B01001889"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Korean Government [Ministry of Science and ICT (MSIT)]","doi-asserted-by":"publisher","award":["NRF-2022R1F1A1069969"],"award-info":[{"award-number":["NRF-2022R1F1A1069969"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute of Convergence Science (ICONS), Yonsei University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tnnls.2023.3336799","type":"journal-article","created":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T19:24:36Z","timestamp":1702063476000},"page":"767-780","source":"Crossref","is-referenced-by-count":4,"title":["Teacher\u2013Explorer\u2013Student Learning: A Novel Learning Method for Open Set Recognition"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6255-2044","authenticated-orcid":false,"given":"Jaeyeon","family":"Jang","sequence":"first","affiliation":[{"name":"Department of Data Science, Catholic University of Korea, Bucheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6936-5409","authenticated-orcid":false,"given":"Chang Ouk","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Yonsei University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2981604"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.256"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/make2040028"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.000-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/THS.2017.7943467"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2020.3012183"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119363"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2603960"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2909876"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.173"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d17-1314"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3189996"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00414"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.42"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_38"},{"key":"ref18","first-page":"1","article-title":"Training confidence-calibrated classifiers for detecting out-of-distribution samples","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lee"},{"key":"ref19","article-title":"Deep CNN-based multi-task learning for open-set recognition","author":"Oza","year":"2019","journal-title":"arXiv:1903.03161"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00241"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01349"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2587647"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321392"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15558-1_35"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2613924"},{"key":"ref26","first-page":"1","article-title":"Open-set recognition: A good closed-set classifier is all you need","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Vaze"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3045079"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3106743"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01183"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00085"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019801"},{"key":"ref32","first-page":"1","article-title":"FitNets: Hints for thin deep nets","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Romero"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref34","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298799"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1126\/science.aab3050"},{"key":"ref37","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01501"},{"key":"ref40","first-page":"9157","article-title":"Reducing network agnostophobia","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Dhamija"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00366"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_30"},{"key":"ref43","first-page":"21464","article-title":"Energy-based out-of-distribution detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Liu"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10832116\/10348965.pdf?arnumber=10348965","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T20:23:55Z","timestamp":1736367835000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10348965\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3336799","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}