{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T19:14:07Z","timestamp":1779304447817,"version":"3.51.4"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T00:00:00Z","timestamp":1475193600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["TIN2015-65069-C2-2-R"],"award-info":[{"award-number":["TIN2015-65069-C2-2-R"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["PRX15\/00607"],"award-info":[{"award-number":["PRX15\/00607"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Prog Artif Intell"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s13748-016-0103-3","type":"journal-article","created":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T00:17:20Z","timestamp":1475194640000},"page":"53-58","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Why is quantification an interesting learning problem?"],"prefix":"10.1007","volume":"6","author":[{"given":"Pablo","family":"Gonz\u00e1lez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"D\u00edez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nitesh","family":"Chawla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Jos\u00e9","family":"del Coz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,30]]},"reference":[{"issue":"2","key":"103_CR1","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.patcog.2012.07.022","volume":"46","author":"J Barranquero","year":"2013","unstructured":"Barranquero, J., Gonz\u00e1lez, P., D\u00edez, J., del Coz, J.J.: On the study of nearest neighbour algorithms for prevalence estimation in binary problems. Pattern Recognit. 46(2), 472\u2013482 (2013)","journal-title":"Pattern Recognit."},{"issue":"2","key":"103_CR2","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1016\/j.patcog.2014.07.032","volume":"48","author":"J Barranquero","year":"2015","unstructured":"Barranquero, J., D\u00edez, J., del Coz, J.J.: Quantification-oriented learning based on reliable classifiers. Pattern Recognit. 48(2), 591\u2013604 (2015)","journal-title":"Pattern Recognit."},{"key":"103_CR3","unstructured":"Beijbom, O., Hoffman, J., Yao, E., Darrell, T., Rodriguez-Ramirez, A., Gonzalez-Rivero, M., Guldberg, O.H.: Quantification in-the-wild: data-sets and baselines. In: NIPS 2015, Workshop on Transfer and Multi-Task Learning. Montreal, CA (2015)"},{"key":"103_CR4","doi-asserted-by":"crossref","unstructured":"Bella, A., Ferri, C., Hern\u00e1ndez-Orallo, J., Ram\u00edrez-Quintana, M.: Quantification via probability estimators. In: Proc. of the 10th IEEE International Conference on Data Mining, pp. 737\u2013742 (2010)","DOI":"10.1109\/ICDM.2010.75"},{"issue":"4","key":"103_CR5","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/MIS.2010.94","volume":"25","author":"A Esuli","year":"2010","unstructured":"Esuli, A., Sebastiani, F.: Sentiment quantification. IEEE Intell. Syst. 25(4), 72\u201375 (2010)","journal-title":"IEEE Intell. Syst."},{"key":"103_CR6","doi-asserted-by":"crossref","unstructured":"Esuli, A., Sebastiani, F.: Optimizing text quantifiers for multivariate loss functions. ACM Trans. Knowl. Discov. Data 9(4), 27:1\u201327:27 (2015)","DOI":"10.1145\/2700406"},{"issue":"1","key":"103_CR7","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s10994-005-5256-4","volume":"58","author":"T Fawcett","year":"2005","unstructured":"Fawcett, T., Flach, P.: A response to Webb and Ting\u2019s on the application of ROC analysis to predict classification performance under varying class distributions. Mach. Learn. 58(1), 33\u201338 (2005)","journal-title":"Mach. Learn."},{"issue":"2","key":"103_CR8","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/s10618-008-0097-y","volume":"17","author":"G Forman","year":"2008","unstructured":"Forman, G.: Quantifying counts and costs via classification. Data Mining Knowl. Discov. 17(2), 164\u2013206 (2008)","journal-title":"Data Mining Knowl. Discov."},{"key":"103_CR9","doi-asserted-by":"crossref","unstructured":"Forman, G., Kirshenbaum, E., Suermondt, J.: Pragmatic text mining: minimizing human effort to quantify many issues in call logs. In: Proceedings of ACM SIGKDD\u201906, ACM, pp. 852\u2013861 (2006)","DOI":"10.1145\/1150402.1150520"},{"key":"103_CR10","first-page":"2677","volume":"9","author":"S Garcia","year":"2008","unstructured":"Garcia, S., Herrera, F.: An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons. J. Mach. Learn. Res. 9, 2677\u20132694 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"103_CR11","unstructured":"Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford 1:12 (2009)"},{"key":"103_CR12","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.ins.2012.05.028","volume":"218","author":"V Gonz\u00e1lez-Castro","year":"2013","unstructured":"Gonz\u00e1lez-Castro, V., Alaiz-Rodr\u00edguez, R., Alegre, E.: Class distribution estimation based on the hellinger distance. Inf. Sci. 218, 146\u2013164 (2013)","journal-title":"Inf. Sci."},{"key":"103_CR13","unstructured":"Latinne, P., Saerens, M., Decaestecker, C.: Adjusting the outputs of a classifier to new a priori probabilities may significantly improve classification accuracy: Evidence from a multi-class problem in remote sensing. In: Proceedings of ICML\u201901, M. Kaufmann, pp. 298\u2013305 (2001)"},{"key":"103_CR14","doi-asserted-by":"crossref","unstructured":"Milli, L., Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D., Sebastiani, F.: Quantification trees. In: IEEE International Conference on Data Mining (ICDM\u201913), pp. 528\u2013536 (2013)","DOI":"10.1109\/ICDM.2013.122"},{"key":"103_CR15","doi-asserted-by":"crossref","unstructured":"Milli, L., Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F., Sebastiani, F.: Quantification in social networks. In: Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, pp. 1\u201310 (2015)","DOI":"10.1109\/DSAA.2015.7344845"},{"key":"103_CR16","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.inffus.2016.07.001","volume":"34","author":"P P\u00e9rez-Gallego","year":"2017","unstructured":"P\u00e9rez-Gallego, P., Quevedo, J.R., del Coz, J.J.: Using ensembles for problems with characterizable changes in data distribution: a case study on quantification. Inf. Fusion 34, 87\u2013100 (2017)","journal-title":"Inf. Fusion"},{"issue":"2","key":"103_CR17","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1007\/s10115-012-0508-7","volume":"33","author":"T Rakthanmanon","year":"2012","unstructured":"Rakthanmanon, T., Keogh, E., Lonardi, S., Evans, S.: MDL-based time series clustering. Knowl. Inf. Syst. 33(2), 371\u2013399 (2012)","journal-title":"Knowl. Inf. Syst."},{"key":"103_CR18","unstructured":"Saif, H., Fern\u00e1ndez, M., He, Y., Alani, H.: Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the sts-gold. In: 1st Interantional Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013) (2013)"},{"issue":"4","key":"103_CR19","doi-asserted-by":"crossref","first-page":"150","DOI":"10.3390\/jrfm7040150","volume":"7","author":"D Tasche","year":"2014","unstructured":"Tasche, D.: Exact fit of simple finite mixture models. J. Risk Financial Manag. 7(4), 150\u2013164 (2014)","journal-title":"J. Risk Financial Manag."}],"container-title":["Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-016-0103-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13748-016-0103-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-016-0103-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T00:11:54Z","timestamp":1568419914000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13748-016-0103-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,30]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["103"],"URL":"https:\/\/doi.org\/10.1007\/s13748-016-0103-3","relation":{},"ISSN":["2192-6352","2192-6360"],"issn-type":[{"value":"2192-6352","type":"print"},{"value":"2192-6360","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,30]]}}}