{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T06:02:16Z","timestamp":1759384936727,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319248332"},{"type":"electronic","value":"9783319248349"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","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":[[2015]]},"DOI":"10.1007\/978-3-319-24834-9_6","type":"book-chapter","created":{"date-parts":[[2015,10,13]],"date-time":"2015-10-13T17:56:35Z","timestamp":1444758995000},"page":"45-52","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification"],"prefix":"10.1007","author":[{"given":"Bartosz","family":"Krawczyk","sequence":"first","affiliation":[]},{"given":"Micha\u0142","family":"Wo\u017aniak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,1,7]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.neucom.2014.04.070","volume":"146","author":"M Antonelli","year":"2014","unstructured":"Antonelli, M., Ducange, P., Marcelloni, F.: An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. Neurocomputing 146, 125\u2013136 (2014)","journal-title":"Neurocomputing"},{"key":"6_CR2","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/j.neucom.2014.07.064","volume":"150","author":"J B\u0142aszczy\u0144ski","year":"2015","unstructured":"B\u0142aszczy\u0144ski, J., Stefanowski, J.: Neighbourhood sampling in bagging for imbalanced data. Neurocomputing 150, 529\u2013542 (2015)","journal-title":"Neurocomputing"},{"key":"6_CR3","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"6_CR4","unstructured":"Flach, P.A.: The geometry of ROC space: understanding machine learning metrics through ROC isometrics. In: Proceedings of the Twentieth International Conference on Machine Learning, ICML 2003, 21\u201324 August 2003, Washington, DC, USA, pp. 194\u2013201 (2003)"},{"issue":"4","key":"6_CR5","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1109\/TSMCC.2011.2161285","volume":"42","author":"M Galar","year":"2012","unstructured":"Galar, M., Fernandez, A., Barrenechea, E., Bustince, H., Herrera, F.: A review on ensembles for the class imbalance problem: bagging-, boosting- and hybrid-based approaches. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 42(4), 463\u2013484 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. C Appl. Rev."},{"issue":"10","key":"6_CR6","doi-asserted-by":"publisher","first-page":"2044","DOI":"10.1016\/j.ins.2009.12.010","volume":"180","author":"S Garc\u00eda","year":"2010","unstructured":"Garc\u00eda, S., Fern\u00e1ndez, A., Luengo, J., Herrera, F.: Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power. Inf. Sci. 180(10), 2044\u20132064 (2010)","journal-title":"Inf. Sci."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.asoc.2013.08.014","volume":"14","author":"B Krawczyk","year":"2014","unstructured":"Krawczyk, B., Wo\u017aniak, M., Schaefer, G.: Cost-sensitive decision tree ensembles for effective imbalanced classification. Appl. Soft Comput. 14, 554\u2013562 (2014)","journal-title":"Appl. Soft Comput."},{"issue":"7","key":"6_CR8","doi-asserted-by":"publisher","first-page":"6585","DOI":"10.1016\/j.eswa.2011.12.043","volume":"39","author":"V Lopez","year":"2012","unstructured":"Lopez, V., Fernandez, A., Moreno-Torres, J.G., Herrera, F.: Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification open problems on intrinsic data characteristics. Expert Syst. Appl. 39(7), 6585\u20136608 (2012)","journal-title":"Expert Syst. Appl."},{"key":"6_CR9","unstructured":"Maloof, M.A.: Learning when data sets are imbalanced and when costs are unequal and unknown. In: ICML-2003 Workshop on Learning from Imbalanced Data Sets II (2003)"},{"key":"6_CR10","unstructured":"Provost, F.: Machine learning from imbalanced data sets 101. In: Proceedings of the AAAI 2000 Workshop on Imbalanced Data Sets, pp. 1\u20133 (2000)"},{"key":"6_CR11","unstructured":"Riedmiller, M., Braun, H.: A direct adaptive method for faster backpropagation learning: the RPROP algorithm. In: 1993 IEEE International Conference on Neural Networks, pp. 586\u2013591 (1993)"},{"issue":"4","key":"6_CR12","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1142\/S0218001409007326","volume":"23","author":"Y Sun","year":"2009","unstructured":"Sun, Y., Wong, A.K.C., Kamel, M.S.: Classification of imbalanced data: a review. Int. J. Pattern Recogn. Artif. Intell. 23(4), 687\u2013719 (2009)","journal-title":"Int. J. Pattern Recogn. Artif. Intell."},{"issue":"1","key":"6_CR13","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1109\/TKDE.2006.17","volume":"18","author":"Z-H Zhou","year":"2006","unstructured":"Zhou, Z.-H., Liu, X.-Y.: Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Trans. Knowl. Data Eng. 18(1), 63\u201377 (2006)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2015"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24834-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T01:57:17Z","timestamp":1559267837000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24834-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319248332","9783319248349"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24834-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"7 January 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}