{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:30Z","timestamp":1750220250361,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T00:00:00Z","timestamp":1667865600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2020R1G1A1009133"],"award-info":[{"award-number":["2020R1G1A1009133"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,8]]},"DOI":"10.1145\/3500868.3559477","type":"proceedings-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T23:18:17Z","timestamp":1667863097000},"page":"63-67","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring the Community of Model Publishers on TensorFlow Hub"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5499-4640","authenticated-orcid":false,"given":"Taewon","family":"Yoo","sequence":"first","affiliation":[{"name":"Department of Software Convergence, Kyung Hee University, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0241-9329","authenticated-orcid":false,"given":"Minki","family":"Chun","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4683-2297","authenticated-orcid":false,"given":"Yunjung","family":"Bae","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Southern California, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1277-0849","authenticated-orcid":false,"given":"Soohyun","family":"Kwon","sequence":"additional","affiliation":[{"name":"Department of Psychology, New York University, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2967-4370","authenticated-orcid":false,"given":"Hyunggu","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Seoul, Republic of Korea and Department of Artificial Intelligence, University of Seoul, Republic of Korea"}]}],"member":"320","published-online":{"date-parts":[[2022,11,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13673-017-0091-8"},{"key":"e_1_3_2_1_2_1","first-page":"12449","article-title":"wav2vec 2.0: A framework for self-supervised learning of speech representations","volume":"33","author":"Baevski Alexei","year":"2020","unstructured":"Alexei Baevski , Yuhao Zhou , Abdelrahman Mohamed , and Michael Auli . 2020 . wav2vec 2.0: A framework for self-supervised learning of speech representations . Advances in Neural Information Processing Systems 33 (2020), 12449 \u2013 12460 . Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in Neural Information Processing Systems 33 (2020), 12449\u201312460.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/VLHCC.2019.8818751"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2145204.2145396"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025739"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2889160.2889195"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_9_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861(2017).","author":"Howard G","year":"2017","unstructured":"Andrew\u00a0 G Howard , Menglong Zhu , Bo Chen , Dmitry Kalenichenko , Weijun Wang , Tobias Weyand , Marco Andreetto , and Hartwig Adam . 2017 . Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861(2017). Andrew\u00a0G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861(2017)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3476038"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175450"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01576"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3148330.3148352"},{"key":"e_1_3_2_1_14_1","volume-title":"Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey\u00a0 E Hinton . 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 ( 2012 ). Alex Krizhevsky, Ilya Sutskever, and Geoffrey\u00a0E Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 (2012)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2441776.2441792"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Nora McDonald and Sean Goggins. 2013. Performance and participation in open source software on github. In CHI\u201913 extended abstracts on human factors in computing systems. 139\u2013144.  Nora McDonald and Sean Goggins. 2013. Performance and participation in open source software on github. In CHI\u201913 extended abstracts on human factors in computing systems. 139\u2013144.","DOI":"10.1145\/2468356.2468382"},{"key":"#cr-split#-e_1_3_2_1_17_1.1","doi-asserted-by":"crossref","unstructured":"Thorsten M\u00fcller and Dominik Kreutz. 2021. Thorsten-Voice - \"Thorsten-21.02-neutral\" Dataset. https:\/\/doi.org\/10.5281\/zenodo.5525342 Please use it to make the world a better place for whole humankind.. 10.5281\/zenodo.5525342","DOI":"10.3384\/venue.2001-788X.3440"},{"key":"#cr-split#-e_1_3_2_1_17_1.2","unstructured":"Thorsten M\u00fcller and Dominik Kreutz. 2021. Thorsten-Voice - \"Thorsten-21.02-neutral\" Dataset. https:\/\/doi.org\/10.5281\/zenodo.5525342 Please use it to make the world a better place for whole humankind.."},{"key":"#cr-split#-e_1_3_2_1_18_1.1","doi-asserted-by":"crossref","unstructured":"Thorsten M\u00fcller and Dominik Kreutz. 2021. Thorsten-Voice - \"Thorsten-21.06-emotional\" Dataset. https:\/\/doi.org\/10.5281\/zenodo.5525023 Please use it to make the world a better place for whole humankind.. 10.5281\/zenodo.5525023","DOI":"10.3384\/venue.2001-788X.3440"},{"key":"#cr-split#-e_1_3_2_1_18_1.2","unstructured":"Thorsten M\u00fcller and Dominik Kreutz. 2021. Thorsten-Voice - \"Thorsten-21.06-emotional\" Dataset. https:\/\/doi.org\/10.5281\/zenodo.5525023 Please use it to make the world a better place for whole humankind.."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1357054.1357160"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449205"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87626-5_15"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132525.3134801"},{"key":"e_1_3_2_1_23_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014).  Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1985793.1985907"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Yunxiang Xiong Zhangyuan Meng Beijun Shen and Wei Yin. 2017. Mining Developer Behavior Across GitHub and StackOverflow.. In SEKE. 578\u2013583.  Yunxiang Xiong Zhangyuan Meng Beijun Shen and Wei Yin. 2017. Mining Developer Behavior Across GitHub and StackOverflow.. In SEKE. 578\u2013583.","DOI":"10.18293\/SEKE2017-062"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196709.3196730"}],"event":{"name":"CSCW '22: Computer Supported Cooperative Work and Social Computing","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Virtual Event Taiwan","acronym":"CSCW '22"},"container-title":["Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3500868.3559477","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3500868.3559477","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:39Z","timestamp":1750188639000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3500868.3559477"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,8]]},"references-count":28,"alternative-id":["10.1145\/3500868.3559477","10.1145\/3500868"],"URL":"https:\/\/doi.org\/10.1145\/3500868.3559477","relation":{},"subject":[],"published":{"date-parts":[[2022,11,8]]},"assertion":[{"value":"2022-11-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}