{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T00:29:41Z","timestamp":1778200181254,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412099","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:01Z","timestamp":1603085461000},"page":"2001-2004","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Learning Discriminative Virtual Sequences for Time Series Classification"],"prefix":"10.1145","author":[{"given":"Abhilash","family":"Dorle","sequence":"first","affiliation":[{"name":"University of Georgia, Athens, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangyu","family":"Li","sequence":"additional","affiliation":[{"name":"Kennesaw State University, Marietta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenzhan","family":"Song","sequence":"additional","affiliation":[{"name":"University of Georgia, Athens, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Li","sequence":"additional","affiliation":[{"name":"University of Georgia, Athens, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"KDD Workshop","volume":"10","author":"Berndt Donald J","year":"1994","unstructured":"Donald J Berndt and James Clifford . 1994 . Using dynamic time warping to find patterns in time series . In KDD Workshop , Vol. 10 . 359--370. Donald J Berndt and James Clifford. 1994. Using dynamic time warping to find patterns in time series. In KDD Workshop, Vol. 10. 359--370."},{"key":"e_1_3_2_2_2_1","volume-title":"Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Yanping, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, Gustavo Batista, and Hexagon-ML.","author":"Dau Hoang Anh","year":"2018","unstructured":"Hoang Anh Dau , Eamonn Keogh , Kaveh Kamgar , Chin-Chia Michael Yeh , Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Yanping, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, Gustavo Batista, and Hexagon-ML. 2018 . The UCR Time Series Classification Archive . https:\/\/www. cs.ucr.edu\/~eamonn\/time_series_data_2018\/. Hoang Anh Dau, Eamonn Keogh, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Yanping, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, Gustavo Batista, and Hexagon-ML. 2018. The UCR Time Series Classification Archive. https:\/\/www. cs.ucr.edu\/~eamonn\/time_series_data_2018\/."},{"key":"e_1_3_2_2_3_1","volume-title":"Multi-Channel MHLF: LSTM-FCN using MACD-Histogram with Multi-Channel Input for Time Series Classification","author":"Hashida Shuichi","unstructured":"Shuichi Hashida and Keiichi Tamura . 2019. Multi-Channel MHLF: LSTM-FCN using MACD-Histogram with Multi-Channel Input for Time Series Classification . In IEEE IWCIA. 67--72. Shuichi Hashida and Keiichi Tamura. 2019. Multi-Channel MHLF: LSTM-FCN using MACD-Histogram with Multi-Channel Input for Time Series Classification. In IEEE IWCIA. 67--72."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Chao Huang Xian Wu Xuchao Zhang Suwen Lin and Nitesh V Chawla. 2019. Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. In CIKM. 2141--2144.  Chao Huang Xian Wu Xuchao Zhang Suwen Lin and Nitesh V Chawla. 2019. Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. In CIKM. 2141--2144.","DOI":"10.1145\/3357384.3358162"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"e_1_3_2_2_6_1","volume-title":"Early classification of ongoing observation","author":"Li Kang","unstructured":"Kang Li , Sheng Li , and Yun Fu. 2014. Early classification of ongoing observation . In ICDM. IEEE , 310--319. Kang Li, Sheng Li, and Yun Fu. 2014. Early classification of ongoing observation. In ICDM. IEEE, 310--319."},{"key":"e_1_3_2_2_7_1","unstructured":"Sheng Li Kang Li and Yun Fu. 2015. Temporal subspace clustering for human motion segmentation. In ICCV. 4453--4461.  Sheng Li Kang Li and Yun Fu. 2015. Temporal subspace clustering for human motion segmentation. In ICCV. 4453--4461."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3199676"},{"key":"e_1_3_2_2_9_1","unstructured":"Sheng Li Yaliang Li and Yun Fu. 2016. Multi-view time series classification: A discriminative bilinear projection approach. In CIKM. 989--998.  Sheng Li Yaliang Li and Yun Fu. 2016. Multi-view time series classification: A discriminative bilinear projection approach. In CIKM. 989--998."},{"key":"e_1_3_2_2_10_1","first-page":"49","article-title":"Feature-based classification of time-series data","volume":"10","author":"Nanopoulos Alex","year":"2001","unstructured":"Alex Nanopoulos , Rob Alcock , and Yannis Manolopoulos . 2001 . Feature-based classification of time-series data . International Journal of Computer Research 10 , 3 (2001), 49 -- 61 . Alex Nanopoulos, Rob Alcock, and Yannis Manolopoulos. 2001. Feature-based classification of time-series data. International Journal of Computer Research 10, 3 (2001), 49--61.","journal-title":"International Journal of Computer Research"},{"key":"e_1_3_2_2_11_1","unstructured":"Micha\u00ebl Perrot and Amaury Habrard. 2015. Regressive virtual metric learning. In NIPS. 1810--1818.  Micha\u00ebl Perrot and Amaury Habrard. 2015. Regressive virtual metric learning. In NIPS. 1810--1818."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2888451.2888456"},{"key":"e_1_3_2_2_13_1","unstructured":"Bing Su and Ying Wu. 2019. Learning distance for sequences by learning a ground metric. In ICML. 6015--6025.  Bing Su and Ying Wu. 2019. Learning distance for sequences by learning a ground metric. In ICML. 6015--6025."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Zhiguang Wang Weizhong Yan and Tim Oates. 2017. Time series classification from scratch with deep neural networks: A strong baseline. In IJCNN. 1578--1585.  Zhiguang Wang Weizhong Yan and Tim Oates. 2017. Time series classification from scratch with deep neural networks: A strong baseline. In IJCNN. 1578--1585.","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"e_1_3_2_2_15_1","unstructured":"Lexiang Ye and Eamonn Keogh. 2009. Time series shapelets: a new primitive for data mining. In KDD. 947--956.  Lexiang Ye and Eamonn Keogh. 2009. Time series shapelets: a new primitive for data mining. In KDD. 947--956."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1184-z"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Jidong Yuan Qianhong Lin Wei Zhang and Zhihai Wang. 2019. Locally Slopebased Dynamic Time Warping for Time Series Classification. In CIKM. 1713--1722.  Jidong Yuan Qianhong Lin Wei Zhang and Zhihai Wang. 2019. Locally Slopebased Dynamic Time Warping for Time Series Classification. In CIKM. 1713--1722.","DOI":"10.1145\/3357384.3357917"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-015-4478-2"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412099","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412099","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:30Z","timestamp":1750197750000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412099"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":18,"alternative-id":["10.1145\/3340531.3412099","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412099","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}