{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:07:29Z","timestamp":1742998049417,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031306778"},{"type":"electronic","value":"9783031306785"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-30678-5_8","type":"book-chapter","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T09:03:17Z","timestamp":1681376597000},"page":"100-109","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Meta Pseudo Labels for\u00a0Anomaly Detection via\u00a0Partially Observed Anomalies"],"prefix":"10.1007","author":[{"given":"Sinong","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Zhaoyang","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Xiaofei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Trent G.","family":"Marbach","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiaoguang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,14]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.cose.2015.09.005","volume":"57","author":"J West","year":"2016","unstructured":"West, J., Bhattacharya, M.: Intelligent financial fraud detection: a comprehensive review. Comput. Secur. 57, 47\u201366 (2016)","journal-title":"Comput. Secur."},{"issue":"7","key":"8_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3464423","volume":"54","author":"T Fernando","year":"2021","unstructured":"Fernando, T., Gammulle, H., Denman, S., Sridharan, S., Fookes, C.: Deep learning for medical anomaly detection-a survey. ACM Comput. Surv. (CSUR) 54(7), 1\u201337 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"1","key":"8_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s42400-019-0038-7","volume":"2","author":"A Khraisat","year":"2019","unstructured":"Khraisat, A., Gondal, I., Vamplew, P., Kamruzzaman, J.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1), 1\u201322 (2019). https:\/\/doi.org\/10.1186\/s42400-019-0038-7","journal-title":"Cybersecurity"},{"issue":"3","key":"8_CR4","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1016\/j.patcog.2006.07.009","volume":"40","author":"H Hoffmann","year":"2007","unstructured":"Hoffmann, H.: Kernel PCA for novelty detection. Pattern Recogn. 40(3), 863\u2013874 (2007)","journal-title":"Pattern Recogn."},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Chen, J., Sathe, S., Aggarwal, C., Turaga, D.: Outlier detection with autoencoder ensembles. In: Proceedings of the 2017 SIAM International Conference on Data Mining, pp. 90\u201398. SIAM (2017)","DOI":"10.1137\/1.9781611974973.11"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Zhou, C., Paffenroth, R.C.: Anomaly detection with robust deep autoencoders. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 665\u2013674 (2017)","DOI":"10.1145\/3097983.3098052"},{"key":"8_CR7","unstructured":"Li, K.L., Huang, H.K., Tian, S.F., Xu, W.: Improving one-class SVM for anomaly detection. In: Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No. 03EX693), vol. 5, pp. 3077\u20133081. IEEE (2003)"},{"key":"8_CR8","unstructured":"Ruff, L., et al.: Deep one-class classification. In: International Conference on Machine Learning, pp. 4393\u20134402. PMLR (2018)"},{"key":"8_CR9","unstructured":"Bergman, L., Hoshen, Y.: Classification-based anomaly detection for general data. arXiv preprint arXiv:2005.02359 (2020)"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Zhang, Y.L., Li, L., Zhou, J., Li, X., Zhou, Z.H.: Anomaly detection with partially observed anomalies. In: Companion Proceedings of the The Web Conference 2018, pp. 639\u2013646 (2018)","DOI":"10.1145\/3184558.3186580"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Pang, G., Shen, C., van den Hengel, A.: Deep anomaly detection with deviation networks. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 353\u2013362 (2019)","DOI":"10.1145\/3292500.3330871"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Pang, G., van den Hengel, A., Shen, C., Cao, L.: Toward deep supervised anomaly detection: reinforcement learning from partially labeled anomaly data. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 1298\u20131308 (2021)","DOI":"10.1145\/3447548.3467417"},{"key":"8_CR13","unstructured":"Yang, X., Song, Z., King, I., Xu, Z.: A survey on deep semi-supervised learning. arXiv preprint arXiv:2103.00550 (2021)"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Scholkopf, B., Zien, A.: Semi-supervised learning (Chapelle, O. et al., EDS.; 2006)[book reviews]. IEEE Trans. Neural Netw. 20(3), 542\u2013542 (2009)","DOI":"10.1109\/TNN.2009.2015974"},{"key":"8_CR15","unstructured":"Ruff, L., et al.: Deep semi-supervised anomaly detection. arXiv preprint arXiv:1906.02694 (2019)"},{"key":"8_CR16","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1613\/jair.3623","volume":"46","author":"N G\u00f6rnitz","year":"2013","unstructured":"G\u00f6rnitz, N., Kloft, M., Rieck, K., Brefeld, U.: Toward supervised anomaly detection. J. Artif. Intell. Res. 46, 235\u2013262 (2013)","journal-title":"J. Artif. Intell. Res."},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Pham, H., Dai, Z., Xie, Q., Le, Q.V.: Meta pseudo labels. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11557\u201311568 (2021)","DOI":"10.1109\/CVPR46437.2021.01139"},{"issue":"1","key":"8_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2133360.2133363","volume":"6","author":"FT Liu","year":"2012","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation-based anomaly detection. ACM Trans. Knowl. Discov. Data (TKDD) 6(1), 1\u201339 (2012)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Pang, G., Cao, L., Chen, L., Liu, H.: Learning representations of ultrahigh-dimensional data for random distance-based outlier detection. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2041\u20132050 (2018)","DOI":"10.1145\/3219819.3220042"},{"key":"8_CR20","unstructured":"Pang, G., Ding, C., Shen, C., van den Hengel, A.: Explainable deep few-shot anomaly detection with deviation networks. arXiv preprint arXiv:2108.00462 (2021)"},{"key":"8_CR21","unstructured":"Kingma, D.P., Mohamed, S., Jimenez Rezende, D., Welling, M.: Semi-supervised learning with deep generative models. In: Advances in Neural Information Processing Systems, vol. 27 (2014)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-30678-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:29:44Z","timestamp":1709818184000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-30678-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031306778","9783031306785"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-30678-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"14 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.tjudb.cn\/dasfaa2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"652","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"125","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}