{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T12:07:22Z","timestamp":1790770042210,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":6,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,10,1]],"date-time":"2016-10-01T00:00:00Z","timestamp":1475280000000},"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":[[2016,10]]},"DOI":"10.1145\/2964284.2973820","type":"proceedings-article","created":{"date-parts":[[2016,9,29]],"date-time":"2016-09-29T19:17:32Z","timestamp":1475176652000},"page":"720-721","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["ThePlantGame"],"prefix":"10.1145","author":[{"given":"Maximilien","family":"Servajean","sequence":"first","affiliation":[{"name":"INRIA\/LIRMM, Montpellier, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexis","family":"Joly","sequence":"additional","affiliation":[{"name":"INRIA\/LIRMM, Montpellier, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis","family":"Shasha","sequence":"additional","affiliation":[{"name":"NYU, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Champ","sequence":"additional","affiliation":[{"name":"INRIA\/LIRMM, Montpellier, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esther","family":"Pacitti","sequence":"additional","affiliation":[{"name":"INRIA\/LIRMM, Montpellier, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2016,10]]},"reference":[{"key":"e_1_3_2_2_1_1","first-page":"20","volume-title":"Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics","author":"Dawid A. P.","year":"1979","unstructured":"A. P. Dawid and A. M. Skene . Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics , pages 20 -- 28 , 1979 . A. P. Dawid and A. M. Skene. Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics, pages 20--28, 1979."},{"key":"e_1_3_2_2_2_1","volume-title":"CLEF 2015","author":"Go\u00ebau H.","year":"2015","unstructured":"H. Go\u00ebau , A. Joly , and P. Bonnet . Lifeclef plant identification task 2015 . In CLEF 2015 , 2015 . H. Go\u00ebau, A. Joly, and P. Bonnet. Lifeclef plant identification task 2015. In CLEF 2015, 2015."},{"key":"e_1_3_2_2_3_1","first-page":"619","volume-title":"International conference on artificial intelligence and statistics","author":"Kim H.-C.","year":"2012","unstructured":"H.-C. Kim and Z. Ghahramani . Bayesian classifier combination . In International conference on artificial intelligence and statistics , pages 619 -- 627 , 2012 . H.-C. Kim and Z. Ghahramani. Bayesian classifier combination. In International conference on artificial intelligence and statistics, pages 619--627, 2012."},{"key":"e_1_3_2_2_4_1","volume-title":"Thousands-of-labels crowdsourcing: an active bayesian approach","author":"Servajean M.","year":"2016","unstructured":"M. Servajean , A. Joly , D. Shasha , J. Champ , and E. Pacitti . Thousands-of-labels crowdsourcing: an active bayesian approach . IEEE Trans. on Multimedia ( submitted), 2016 . M. Servajean, A. Joly, D. Shasha, J. Champ, and E. Pacitti. Thousands-of-labels crowdsourcing: an active bayesian approach. IEEE Trans. on Multimedia (submitted), 2016."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36406-8_1"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2567989"}],"event":{"name":"MM '16: ACM Multimedia Conference","location":"Amsterdam The Netherlands","acronym":"MM '16","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 24th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2964284.2973820","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2964284.2973820","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:42Z","timestamp":1750217982000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2964284.2973820"}},"subtitle":["Actively Training Human Annotators for Domain-specific Crowdsourcing"],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":6,"alternative-id":["10.1145\/2964284.2973820","10.1145\/2964284"],"URL":"https:\/\/doi.org\/10.1145\/2964284.2973820","relation":{},"subject":[],"published":{"date-parts":[[2016,10]]},"assertion":[{"value":"2016-10-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}