{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:55:53Z","timestamp":1776887753016,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100012537","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP180103023"],"award-info":[{"award-number":["DP180103023"]}],"id":[{"id":"10.13039\/100012537","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330871","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"353-362","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":340,"title":["Deep Anomaly Detection with Deviation Networks"],"prefix":"10.1145","author":[{"given":"Guansong","family":"Pang","sequence":"first","affiliation":[{"name":"University of Adelaide, Adelaide, Australia"}]},{"given":"Chunhua","family":"Shen","sequence":"additional","affiliation":[{"name":"University of Adelaide, Adelaide, Australia"}]},{"given":"Anton","family":"van den Hengel","sequence":"additional","affiliation":[{"name":"University of Adelaide, Adelaide, Australia"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Outlier Analysis","author":"Aggarwal Charu C"},{"key":"e_1_3_2_1_2_1","volume-title":"Outlier detection with autoencoder ensembles","author":"Chen Jinghui"},{"key":"e_1_3_2_1_3_1","unstructured":"Franccois Chollet et al. 2015. Keras. https:\/\/keras.io.  Franccois Chollet et al. 2015. Keras. https:\/\/keras.io."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401920"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","volume-title":"Outlier detection using replicator neural networks","author":"Hawkins Simon","DOI":"10.1007\/3-540-46145-0_17"},{"key":"e_1_3_2_1_8_1","unstructured":"Geoffrey Hinton. 2012. Overview of mini-batch gradient descent. (2012). https:\/\/www.cs.toronto.edu\/ tijmen\/csc321\/slides\/lecture_slides_lec6.pdf  Geoffrey Hinton. 2012. Overview of mini-batch gradient descent. (2012). https:\/\/www.cs.toronto.edu\/ tijmen\/csc321\/slides\/lecture_slides_lec6.pdf"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.88"},{"key":"e_1_3_2_1_10_1","volume-title":"Interpreting and unifying outlier scores","author":"Kriegel Hans-Peter"},{"key":"e_1_3_2_1_11_1","volume-title":"Nature","volume":"521","author":"LeCun Yann","year":"2015"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150436"},{"key":"e_1_3_2_1_13_1","first-page":"587","article-title":"Learning to classify texts using positive and unlabeled data","volume":"3","author":"Li Xiaoli","year":"2003","journal-title":"IJCAI"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2133360.2133363"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553462"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557155"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MilCIS.2015.7348942"},{"key":"e_1_3_2_1_18_1","volume-title":"Sparse modeling-based sequential ensemble learning for effective outlier detection in high-dimensional numeric data","author":"Pang Guansong"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220042"},{"key":"e_1_3_2_1_20_1","volume-title":"Robert Vandermeulen, Alexander Binder, Emmanuel M\u00fcller, and Marius Kloft.","author":"Ruff Lukas","year":"2018"},{"key":"e_1_3_2_1_21_1","volume-title":"Francesco GB De Natale, and Zhi-Hua Zhou","author":"Sansone Emanuele","year":"2018"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","volume-title":"Unsupervised anomaly detection with generative adversarial networks to guide marker discovery","author":"Schlegl Thomas","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"e_1_3_2_1_23_1","volume-title":"Introduction to Information Retrieval","author":"Sch\u00fctze Hinrich"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220083"},{"key":"e_1_3_2_1_25_1","unstructured":"Jake Snell Kevin Swersky and Richard Zemel. 2017. Prototypical networks for few-shot learning. In NeurIPS. 4077--4087.   Jake Snell Kevin Swersky and Richard Zemel. 2017. Prototypical networks for few-shot learning. In NeurIPS. 4077--4087."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623342"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008084.60811.49"},{"key":"e_1_3_2_1_28_1","volume-title":"Wiley Encyclopedia of Clinical Trials (2007), 1--3.","author":"Woolson RF"},{"key":"e_1_3_2_1_29_1","volume-title":"Adversarially Learned Anomaly Detection","author":"Zenati Houssam"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098052"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330871","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:02Z","timestamp":1750206362000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330871"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":30,"alternative-id":["10.1145\/3292500.3330871","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330871","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}