{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:07Z","timestamp":1750220227906,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"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":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482059","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T15:31:19Z","timestamp":1636990279000},"page":"3162-3165","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Asterisk-Shaped Features for Tabular Data"],"prefix":"10.1145","author":[{"given":"Yuki","family":"Kurauchi","sequence":"first","affiliation":[{"name":"NTT Corporation, Hikarinooka Yokosuka, Japan"}]},{"given":"Yoshiaki","family":"Takimoto","sequence":"additional","affiliation":[{"name":"NTT Corporation, Hikarinooka Yokosuka, Japan"}]},{"given":"Shuhei","family":"Yamamoto","sequence":"additional","affiliation":[{"name":"NTT Corporation, Hikarinooka Yokosuka, Japan"}]},{"given":"Shunichi","family":"Seko","sequence":"additional","affiliation":[{"name":"NTT Corporation, Hikarinooka Yokosuka, Japan"}]},{"given":"Hiroyuki","family":"Toda","sequence":"additional","affiliation":[{"name":"NTT Corporation, Hikarinooka Yokosuka, Japan"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Aaron van den Oord etal 2016. Wavenet: a generative for a raw audio. arXiv preprint arXiv: 1609.03499.  Aaron van den Oord et al. 2016. Wavenet: a generative for a raw audio. arXiv preprint arXiv: 1609.03499."},{"key":"e_1_3_2_1_2_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Yu Fisher","year":"2016","unstructured":"Fisher Yu and Vladlen Koltun . 2016 . Multi-scale context aggregation by dilated convolutions . International Conference on Learning Representations (ICLR). Fisher Yu and Vladlen Koltun. 2016. Multi-scale context aggregation by dilated convolutions. International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"e_1_3_2_1_4_1","volume-title":"Arik and Tomas Pfister","author":"Sercan","year":"2019","unstructured":"Sercan O. Arik and Tomas Pfister . 2019 . TabNet : Attentive interpretable tabular learning. arXiv preprint arXiv: 1908.07442. Sercan O. Arik and Tomas Pfister. 2019. TabNet: Attentive interpretable tabular learning. arXiv preprint arXiv: 1908.07442."},{"key":"e_1_3_2_1_5_1","unstructured":"Hadi S. Jomaa etal 2019. Dataset2vec: Learning dataset meta-features. arXiv preprint arXiv: 1905.11063.  Hadi S. Jomaa et al. 2019. Dataset2vec: Learning dataset meta-features. arXiv preprint arXiv: 1905.11063."},{"key":"e_1_3_2_1_6_1","volume-title":"International Conference on Machine Learning (PMLR).","author":"Real Esteban","year":"2020","unstructured":"Esteban Real , 2020 . AutoML-Zero: Evolving machine learning algorithms . International Conference on Machine Learning (PMLR). Esteban Real, et al. 2020. AutoML-Zero: Evolving machine learning algorithms. International Conference on Machine Learning (PMLR)."},{"key":"e_1_3_2_1_7_1","volume-title":"AutoML Workshop at ICML.","author":"Erickson Nick","year":"2020","unstructured":"Nick Erickson , 2020 . AutoGluon-Tabular: Robust and Accurate AutoML for structured data . AutoML Workshop at ICML. Nick Erickson, et al. 2020. AutoGluon-Tabular: Robust and Accurate AutoML for structured data. AutoML Workshop at ICML."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327757.3327770"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"e_1_3_2_1_10_1","volume-title":"AutoML Workshop at ICML.","author":"Gijsbers Pieter","year":"2019","unstructured":"Pieter Gijsbers , 2019 . An open source AutoML benchmark . AutoML Workshop at ICML. Pieter Gijsbers, et al. 2019. An open source AutoML benchmark. AutoML Workshop at ICML."},{"key":"e_1_3_2_1_11_1","first-page":"436","volume-title":"Deep learning. Nature 521.7553","author":"LeCun Yann","unstructured":"Yann LeCun , Yoshua Bengio , and Geoffrey Hinton . 2015. Deep learning. Nature 521.7553 , pp. 436 -- 444 . Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. Nature 521.7553, pp. 436--444."},{"key":"e_1_3_2_1_12_1","series-title":"Series 6","volume-title":"On lines and planes of closest fit to systems of points in space. Philosophical Magazine","author":"Pearson Karl","unstructured":"Karl Pearson . 1901. On lines and planes of closest fit to systems of points in space. Philosophical Magazine , Series 6 , Vol. 2 , No. 11, pp. 559--572. Karl Pearson. 1901. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, Series 6, Vol. 2, No. 11, pp. 559--572."},{"key":"e_1_3_2_1_13_1","unstructured":"Alex Graves etal 2007. Multi-dimensional recurrent neural networks. arXiv preprint arXiv: 0705.2011v1 [cs.AI].  Alex Graves et al. 2007. Multi-dimensional recurrent neural networks. arXiv preprint arXiv: 0705.2011v1 [cs.AI]."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295074"}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Queensland Australia","acronym":"CIKM '21"},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482059","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:12Z","timestamp":1750188612000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482059"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":14,"alternative-id":["10.1145\/3459637.3482059","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482059","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}