{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T15:32:23Z","timestamp":1772292743852,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,1,20]],"date-time":"2020-01-20T00:00:00Z","timestamp":1579478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS1845081"],"award-info":[{"award-number":["IIS1845081"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS1714741"],"award-info":[{"award-number":["IIS1714741"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS1907704"],"award-info":[{"award-number":["IIS1907704"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS1715940"],"award-info":[{"award-number":["IIS1715940"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,1,20]]},"DOI":"10.1145\/3336191.3372186","type":"proceedings-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T19:08:16Z","timestamp":1579720096000},"page":"919-920","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["Decision Boundary of Deep Neural Networks"],"prefix":"10.1145","author":[{"given":"Hamid","family":"Karimi","sequence":"first","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]},{"given":"Jiliang","family":"Tang","sequence":"additional","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,1,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","volume-title":"Multi-Factor Congressional Vote Prediction. ([n. d.]).","author":"Karimi Hamid","DOI":"10.1145\/3341161.3342884"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"H Karimi T Derr K Torphy K Frank and J Tang. 2019. A Roadmap for Incorporating Online Social Media in Educational Research. Teachers College Record Year Book 2019 (2019).  H Karimi T Derr K Torphy K Frank and J Tang. 2019. A Roadmap for Incorporating Online Social Media in Educational Research. Teachers College Record Year Book 2019 (2019).","DOI":"10.1177\/016146811912101412"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics","author":"Karimi Hamid","year":"2018"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1347"},{"key":"e_1_3_2_1_5_1","volume-title":"Toward End-to-End Deception Detection in Videos. In 2018 IEEE International Conference on Big Data (Big Data). 1278--1283","author":"Karimi H.","year":"2018"},{"key":"e_1_3_2_1_6_1","volume-title":"End-to-End Compromised Account Detection. In 2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 314--321","author":"Karimi H.","year":"2018"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132785"},{"key":"e_1_3_2_1_9_1","unstructured":"Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017).  Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)."}],"event":{"name":"WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining","location":"Houston TX USA","acronym":"WSDM '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 13th International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3372186","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3336191.3372186","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3336191.3372186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:15Z","timestamp":1750202595000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3372186"}},"subtitle":["Challenges and Opportunities"],"short-title":[],"issued":{"date-parts":[[2020,1,20]]},"references-count":9,"alternative-id":["10.1145\/3336191.3372186","10.1145\/3336191"],"URL":"https:\/\/doi.org\/10.1145\/3336191.3372186","relation":{},"subject":[],"published":{"date-parts":[[2020,1,20]]},"assertion":[{"value":"2020-01-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}