{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T14:32:47Z","timestamp":1768573967328,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T00:00:00Z","timestamp":1563408000000},"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":[[2019,7,18]]},"DOI":"10.1145\/3331184.3331389","type":"proceedings-article","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T13:40:26Z","timestamp":1563543626000},"page":"1415-1416","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Learning to Quantify"],"prefix":"10.1145","author":[{"given":"Alejandro","family":"Moreo","sequence":"first","affiliation":[{"name":"Consiglio Nazionale delle Ricerche, Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabrizio","family":"Sebastiani","sequence":"additional","affiliation":[{"name":"Consiglio Nazionale delle Ricerche, Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"Barranquero J. D\u00edez J. and del Coz J. J. {2015} 'Quantification-oriented learning based on reliable classifiers' Pattern Recognition 48(2) 591--604. 10.1016\/j.patcog.2014.07.032","DOI":"10.1016\/j.patcog.2014.07.032"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.07.022"},{"key":"e_1_3_2_1_3_1","volume-title":"NIPS 2015 Workshop on Transfer and Multi-Task Learning","author":"Beijbom O.","unstructured":"Beijbom, O., Hoffman, J., Yao, E., Darrell, T., Rodriguez-Ramirez, A., Gonzalez-Rivero, M. and Hoegh-Guldberg, O. {2015}, Quantification in-the-wild: Data-sets and baselines. CoRR abs\/1510.04811 (2015). Presented at the NIPS 2015 Workshop on Transfer and Multi-Task Learning, Montreal, CA."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.75"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.05.052"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914749"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5604-6"},{"key":"e_1_3_2_1_8_1","volume-title":"ISTI-CNR at SemEval-2016 Task 4: Quantification on an ordinal scale, in 'Proceedings of the 10th International Workshop on Semantic Evaluation(SemEval 2016)","author":"Esuli A.","unstructured":"Esuli, A. {2016}, ISTI-CNR at SemEval-2016 Task 4: Quantification on an ordinal scale, in 'Proceedings of the 10th International Workshop on Semantic Evaluation(SemEval 2016)', San Diego, US."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Esuli A. Moreo A. and Sebastiani F. {2019} 'Cross-lingual sentiment quantification' arXiv:1904.07965.","DOI":"10.1109\/MIS.2020.2979203"},{"key":"e_1_3_2_1_10_1","unstructured":"Esuli A. Moreo A. Sebastiani F. and Trevisan D. {2019} Evaluation protocols for quantification. Submitted for publication."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2010.94"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2700406"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-008-0097-y"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Gao W. and Sebastiani F. {2016} 'From classification to quantification in tweet sentiment analysis' Social Network Analysis and Mining6(19) 1--22.","DOI":"10.1007\/s13278-016-0327-z"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","unstructured":"Gonz\u00e1lez P. Casta\u00f1o A. Chawla N. V. and del Coz J. J. {2017} 'A review on quantification learning' ACM Computing Surveys 50(5) 74:1--74:40. 10.1145\/3117807","DOI":"10.1145\/3117807"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.05.028"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Hopkins D. J. and King G. {2010} 'A method of automated nonparametric content analysis for social science' American Journal of Political Science54(1) 229--247.","DOI":"10.1111\/j.1540-5907.2009.00428.x"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939832"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1214\/07-STS247"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3121050.3121083"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13173-018-0076-0"},{"key":"e_1_3_2_1_22_1","first-page":"528","volume-title":"US","author":"Milli L.","unstructured":"Milli, L., Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D. and Sebastiani, F. {2013}, Quantification trees, in 'Proceedings of the 13th IEEE International Conference on Data Mining (ICDM 2013)', Dallas, US, pp. 528--536."},{"key":"e_1_3_2_1_23_1","volume-title":"Quantification in social networks, in 'Proceedings of the 2nd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015)',Paris, FR.","author":"Milli L.","unstructured":"Milli, L., Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F. and Sebastiani, F. {2015}, Quantification in social networks, in 'Proceedings of the 2nd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015)',Paris, FR."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.06.019"},{"key":"e_1_3_2_1_25_1","volume-title":"SemEval-2017 Task 4: Sentiment analysis in Twitter, in 'Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017)'","author":"Nakov P.","unstructured":"Nakov, P., Farra, N. and Rosenthal, S. {2017}, SemEval-2017 Task 4: Sentiment analysis in Twitter, in 'Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017)', Vancouver, CA."},{"key":"e_1_3_2_1_26_1","first-page":"1","volume-title":"US","author":"Nakov P.","unstructured":"Nakov, P., Ritter, A., Rosenthal, S., Sebastiani, F. and Stoyanov, V. {2016}, SemEval-2016 Task 4: Sentiment analysis in Twitter,in?Proceedings of the 10th Inter-national Workshop on Semantic Evaluation (SemEval 2016)', San Diego, US, pp. 1--18."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","unstructured":"P\u00e9rez-G\u00e1llego P. Quevedo J. R. and del Coz J. J. {2017} 'Using ensembles for problems with characterizable changes in data distribution: A case study on quantification' Information Fusion 34 87--100. 10.1016\/j.inffus.2016.07.001","DOI":"10.1016\/j.inffus.2016.07.001"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976602753284446"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","unstructured":"Sanya A. Kumar P. Kar P. Chawla S. and Sebastiani F. {2018} 'Optimizing non-decomposable measures with deep networks' Machine Learning 107(8--10) 1597--1620. 10.1007\/s10994-018-5736-y","DOI":"10.1007\/s10994-018-5736-y"},{"key":"e_1_3_2_1_30_1","unstructured":"Sebastiani F. {2018} 'Evaluation measures for quantification: An axiomatic approach' arXiv:1809.01991."},{"key":"e_1_3_2_1_31_1","first-page":"3","volume-title":"J. Qui\u00f1onero-Candela, M. Sugiyama, A. Schwaighofer and N. D.Lawrence, eds, 'Dataset shift in machine learning","author":"Storkey A.","unstructured":"Storkey, A. {2009}, When training and test sets are different: Characterizing learn-ing transfer, in J. Qui\u00f1onero-Candela, M. Sugiyama, A. Schwaighofer and N. D.Lawrence, eds, 'Dataset shift in machine learning', The MIT Press, Cambridge,US, pp. 3--28."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1830252.1830271"},{"key":"e_1_3_2_1_33_1","unstructured":"Vapnik V. {1998} Statistical Learning Theory Wiley New York US."}],"event":{"name":"SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Paris France","acronym":"SIGIR '19","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331184.3331389","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3331184.3331389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:53:21Z","timestamp":1768524801000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331184.3331389"}},"subtitle":["Estimating Class Prevalence via Supervised Learning"],"short-title":[],"issued":{"date-parts":[[2019,7,18]]},"references-count":33,"alternative-id":["10.1145\/3331184.3331389","10.1145\/3331184"],"URL":"https:\/\/doi.org\/10.1145\/3331184.3331389","relation":{},"subject":[],"published":{"date-parts":[[2019,7,18]]},"assertion":[{"value":"2019-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}