{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T08:04:42Z","timestamp":1730275482734,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/isncc.2017.8072005","type":"proceedings-article","created":{"date-parts":[[2017,10,25]],"date-time":"2017-10-25T15:19:48Z","timestamp":1508944788000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["An online approach for joint task assignment and worker evaluation in crowd-sourcing"],"prefix":"10.1109","author":[{"given":"Giuseppe","family":"Bianchi","sequence":"first","affiliation":[]},{"given":"Chiara","family":"Carusi","sequence":"additional","affiliation":[]},{"given":"Lorenzo","family":"Bracciale","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Parallel task routing for crowdsourcing","author":"bragg","year":"2014","journal-title":"2nd AAAI Conf on Human Computation and Crowdsourcing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2307\/2346806"},{"key":"ref12","first-page":"692","article-title":"Variational inference for crowd-sourcing","volume":"25","author":"liu","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref13","first-page":"569","article-title":"Trueskill™: A Bayesian skill rating system","author":"herbrich","year":"2006","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.4.590"},{"key":"ref15","first-page":"362","article-title":"Expectation propagation for approximate bayesian inference","author":"minka","year":"2001","journal-title":"Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence UAI '01"},{"key":"ref16","article-title":"Adaptive crowdsourcing algorithms for the bandit survey problem","volume":"abs 1302 3268","author":"abraham","year":"2013","journal-title":"CoRR"},{"key":"ref17","article-title":"Decision-theoretic control of crowd-sourced workflows","author":"dai mausam","year":"2010","journal-title":"Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI'10)"},{"key":"ref18","first-page":"932","article-title":"Modeling annotator expertise: Learning when everybody knows a bit of something","author":"yan","year":"2010","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref19","first-page":"1161","article-title":"Active learning from crowds","author":"yan","year":"2011","journal-title":"28th International Conference on Machine Learning (ICML11)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2745844.2745874"},{"key":"ref3","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"raykar","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref6","first-page":"2035","article-title":"Whose vote should count more: Optimal integration of labels from labelers of unknown expertise","author":"whitehill","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"How to grade a test without knowing the answers-a bayesian graphical model for adaptive crowdsourcing and aptitude testing","author":"bachrach","year":"2012","journal-title":"Proc 29th Int Conf Mach Learn"},{"key":"ref8","article-title":"Learning from the wisdom of crowds by minimax entropy","author":"zhou","year":"2012","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref7","first-page":"1953","article-title":"Iterative learning for reliable crowdsourcing systems","author":"karger","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"key":"ref1","first-page":"897","article-title":"Learning with multiple labels","author":"jin","year":"2002","journal-title":"Advances in neural information processing systems"},{"key":"ref9","first-page":"1914","article-title":"Scoring workers in crowdsourcing: How many control questions are enough?","author":"liu","year":"2013","journal-title":"Advances in Neural Information Processing Systems I (NIPS)"},{"key":"ref20","first-page":"467","article-title":"Loopy belief propagation for approximate inference: An empirical study","author":"murphy","year":"1999","journal-title":"15th Conf on Uncertainty in Artificial Intelligence"},{"key":"ref21","article-title":"Infer. NET 2.6","author":"minka","year":"2014","journal-title":"Microsoft Research Cambridge"}],"event":{"name":"2017 International Symposium on Networks, Computers and Communications (ISNCC)","start":{"date-parts":[[2017,5,16]]},"location":"Marrakech, Morocco","end":{"date-parts":[[2017,5,18]]}},"container-title":["2017 International Symposium on Networks, Computers and Communications (ISNCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8054594\/8071973\/08072005.pdf?arnumber=8072005","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,11,30]],"date-time":"2017-11-30T15:16:40Z","timestamp":1512055000000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8072005\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/isncc.2017.8072005","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}