{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:32:57Z","timestamp":1742931177805,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030295509"},{"type":"electronic","value":"9783030295516"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-29551-6_60","type":"book-chapter","created":{"date-parts":[[2019,8,20]],"date-time":"2019-08-20T16:04:02Z","timestamp":1566317042000},"page":"676-686","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Evidential Semi-supervised Label Aggregation Approach"],"prefix":"10.1007","author":[{"given":"Lina","family":"Abassi","sequence":"first","affiliation":[]},{"given":"Imen","family":"Boukhris","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,21]]},"reference":[{"key":"60_CR1","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Wang, J., Li, G., Feng, J.: QASCA: a quality-aware task assignment system for crowdsourcing applications. In: International Conference on Management of Data, pp. 1031\u20131046 (2015)","DOI":"10.1145\/2723372.2749430"},{"issue":"8","key":"60_CR2","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1145\/1378704.1378719","volume":"51","author":"T Yan","year":"2008","unstructured":"Yan, T., Kumar, V., Ganesan, D.: Designing games with a purpose. Commun. ACM 51(8), 58\u201367 (2008)","journal-title":"Commun. ACM"},{"key":"60_CR3","doi-asserted-by":"crossref","unstructured":"Snow, R., O\u2019Connor, B., Jurafsky, D., Ng, A.Y.: Cheap and fast but is it good? Evaluation non-expert annotations for natural language tasks. In: The Conference on Empirical Methods in Natural Languages Processing, pp. 254\u2013263 (2008)","DOI":"10.3115\/1613715.1613751"},{"key":"60_CR4","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/s10044-002-0173-7","volume":"6","author":"L Kuncheva","year":"2003","unstructured":"Kuncheva, L., Whitaker, C., Shipp, C., Duin, R.: Limits on the majority vote accuracy in classifier fusion. Pattern Anal. Appl. 6, 22\u201331 (2003)","journal-title":"Pattern Anal. Appl."},{"key":"60_CR5","doi-asserted-by":"crossref","unstructured":"Sheng, V.S., Provost, F., Ipeirotis, P.G.: Get another label? Improving data quality and data mining using multiple, noisy labellers. In: International Conference on Knowledge Discovery and Data Mining, pp. 614\u2013622 (2008)","DOI":"10.1145\/1401890.1401965"},{"key":"60_CR6","doi-asserted-by":"crossref","DOI":"10.1515\/9780691214696","volume-title":"A Mathematical Theory of Evidence","author":"G Shafer","year":"1976","unstructured":"Shafer, G.: A Mathematical Theory of Evidence, vol. 1. Princeton University Press, Princeton (1976)"},{"key":"60_CR7","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1214\/aoms\/1177698950","volume":"38","author":"AP Dempster","year":"1967","unstructured":"Dempster, A.P.: Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38, 325\u2013339 (1967)","journal-title":"Ann. Math. Stat."},{"key":"60_CR8","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/S1566-2535(01)00026-4","volume":"2","author":"A-L Jousselme","year":"2001","unstructured":"Jousselme, A.-L., Grenier, D., Boss\u00e9, \u00c9.: A new distance between two bodies of evidence. Inf. Fusion 2, 91\u2013101 (2001)","journal-title":"Inf. Fusion"},{"key":"60_CR9","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.dss.2013.06.012","volume":"56","author":"E Lef\u00e8vre","year":"2013","unstructured":"Lef\u00e8vre, E., Elouedi, Z.: How to preserve the confict as an alarm in the combination of belief functions? Decis. Support Syst. 56, 326\u2013333 (2013)","journal-title":"Decis. Support Syst."},{"issue":"5","key":"60_CR10","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/34.55104","volume":"12","author":"P Smets","year":"1990","unstructured":"Smets, P.: The combination of evidence in the transferable belief model. IEEE Trans. Pattern Anal. Mach. Intell. 12(5), 447\u2013458 (1990)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"60_CR11","first-page":"491","volume":"13","author":"VC Raykar","year":"2012","unstructured":"Raykar, V.C., Yu, S.: Eliminating spammers and ranking annotators for crowdsourced labelling tasks. J. Mach. Learn. Res. 13, 491\u2013518 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"60_CR12","doi-asserted-by":"publisher","first-page":"20","DOI":"10.2307\/2346806","volume":"28","author":"AP Dawid","year":"2010","unstructured":"Dawid, A.P., Skene, A.M.: Maximum likelihood estimation of observer error-rates using the EM algorithm. Appl. Stat. 28, 20\u201328 (2010)","journal-title":"Appl. Stat."},{"key":"60_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1287\/opre.2013.1235","volume":"62","author":"DR Karger","year":"2014","unstructured":"Karger, D.R., Oh, S., Shah, D.: Budget-optimal task allocation for reliable crowdsourcing systems. Oper. Res. 62, 1\u201324 (2014)","journal-title":"Oper. Res."},{"key":"60_CR14","doi-asserted-by":"crossref","unstructured":"Raykar, V.C., et al.: Supervised learning from multiple experts: whom to trust when everyone lies a bit. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 889\u2013896 (2009)","DOI":"10.1145\/1553374.1553488"},{"key":"60_CR15","unstructured":"Khattak, F.K., Salleb, A.: Quality control of crowd labelling through expert evaluation. In: The Neural Information Processing Systems 2nd Workshop on Computational Social Science and the Wisdom of Crowds, pp. 27\u201329 (2011)"},{"key":"60_CR16","doi-asserted-by":"crossref","unstructured":"Lee, K., Caverlee, J., Webb, S.: The social honeypot project: protecting online communities from spammers. In: International World Wide Web Conference, pp. 1139\u20131140 (2010)","DOI":"10.1145\/1772690.1772843"},{"key":"60_CR17","first-page":"253","volume-title":"Non Standard Logics for Automated Reasoning","author":"P Smets","year":"1988","unstructured":"Smets, P., Mamdani, A., Dubois, D., Prade, H.: Non Standard Logics for Automated Reasoning, pp. 253\u2013286. Academic Press, London (1988)"},{"key":"60_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-319-45559-4_10","volume-title":"Belief Functions: Theory and Applications","author":"A Ben Rjab","year":"2016","unstructured":"Ben Rjab, A., Kharoune, M., Miklos, Z., Martin, A.: Characterization of experts in crowdsourcing platforms. In: Vejnarov\u00e1, J., Kratochv\u00edl, V. (eds.) BELIEF 2016. LNCS (LNAI), vol. 9861, pp. 97\u2013104. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45559-4_10"},{"key":"60_CR19","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1201\/9780203913055","volume-title":"The EM Algorithm and Related Statistical Models","author":"M Watanabe","year":"2003","unstructured":"Watanabe, M., Yamaguchi, K.: The EM Algorithm and Related Statistical Models, p. 250. CRC Press, Boca Raton (2003)"},{"key":"60_CR20","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1109\/TIFS.2014.2381872","volume":"10","author":"J Li","year":"2015","unstructured":"Li, J., Li, X., Yang, B., Sun, X.: Segmentation-based image copy-move forgery detection scheme. IEEE Trans. Inf. Forensics Secur. 10, 507\u2013518 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"60_CR21","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s10115-013-0680-4","volume":"42","author":"K Liu","year":"2015","unstructured":"Liu, K., Cheung, W.K., Liu, J.: Detecting multiple stochastic network motifs in network data. Knowl. Inf. Syst. 42, 49\u201374 (2015)","journal-title":"Knowl. Inf. Syst."},{"key":"60_CR22","unstructured":"Whitehill, J., Wu, T., Bergsma, J., Movellan, J.R., Ruvolo, P.L.: Whose vote should count more: optimal integration of labels from labellers of unknown expertise. In: Neural Information Processing Systems, pp. 2035\u20132043 (2009)"},{"key":"60_CR23","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/978-3-319-47650-6_15","volume-title":"Knowledge Science, Engineering and Management","author":"L Abassi","year":"2016","unstructured":"Abassi, L., Boukhris, I.: Crowd label aggregation under a belief function framework. In: Lehner, F., Fteimi, N. (eds.) KSEM 2016. LNCS (LNAI), vol. 9983, pp. 185\u2013196. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-47650-6_15"},{"key":"60_CR24","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-319-60045-1_12","volume-title":"Advances in Artificial Intelligence: From Theory to Practice","author":"L Abassi","year":"2017","unstructured":"Abassi, L., Boukhris, I.: A gold standards-based crowd label aggregation within the belief function theory. In: Benferhat, S., Tabia, K., Ali, M. (eds.) IEA\/AIE 2017. LNCS (LNAI), vol. 10351, pp. 97\u2013106. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-60045-1_12"},{"key":"60_CR25","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-319-61581-3_15","volume-title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","author":"L Abassi","year":"2017","unstructured":"Abassi, L., Boukhris, I.: Iterative aggregation of crowdsourced tasks within the belief function theory. In: Antonucci, A., Cholvy, L., Papini, O. (eds.) ECSQARU 2017. LNCS (LNAI), vol. 10369, pp. 159\u2013168. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-61581-3_15"},{"key":"60_CR26","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/s10489-018-1209-z","volume":"49","author":"L Abassi","year":"2018","unstructured":"Abassi, L., Boukhris, I.: A worker clustering-based approach of label aggregation under the belief function theory. Appl. Intell. 49, 53\u201362 (2018)","journal-title":"Appl. Intell."},{"key":"60_CR27","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1007\/978-3-030-16660-1_59","volume-title":"Intelligent Systems Design and Applications","author":"L Abassi","year":"2018","unstructured":"Abassi, L., Boukhris, I.: Imprecise label aggregation approach under the belief function theory. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds.) Intelligent Systems Design and Applications, vol. 941, pp. 607\u2013616. Springer, Cham (2018)"},{"key":"60_CR28","doi-asserted-by":"crossref","unstructured":"Koulougli, D., HadjAli, A., Rassoul, I.: Handling query answering in crowdsourcing systems: a belief function-based approach. In: Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), pp. 1\u20136 (2016)","DOI":"10.1109\/NAFIPS.2016.7851590"},{"key":"60_CR29","unstructured":"Welinder, P., Branson, S., Perona, P., Belongie, S.J.: The multidimensional wisdom of crowds. In: Neural Information Processing Systems, pp. 2424\u20132432 (2010)"},{"key":"60_CR30","unstructured":"Frank, A.: UCI machine learning repository (1987). http:\/\/archive.ics.uci.edu\/ml"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29551-6_60","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T23:40:31Z","timestamp":1664149231000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29551-6_60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030295509","9783030295516"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29551-6_60","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ksem.conferences.academy\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"240","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}