{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T19:39:35Z","timestamp":1760729975382,"version":"3.28.0"},"reference-count":13,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,6]]},"DOI":"10.1109\/ijcnn.2008.4633794","type":"proceedings-article","created":{"date-parts":[[2008,9,29]],"date-time":"2008-09-29T16:31:26Z","timestamp":1222705886000},"page":"228-231","source":"Crossref","is-referenced-by-count":25,"title":["Combination approach of SMOTE and biased-SVM for imbalanced datasets"],"prefix":"10.1109","author":[{"given":"He-Yong","family":"Wang","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"13","first-page":"39","article-title":"applying support vector machines to imbalanced datasets","author":"akbani","year":"2004","journal-title":"European Conference on Machine Learning"},{"key":"11","first-page":"33","volume":"10","author":"webb","year":"2004","journal-title":"Statistical Pattern Recognition"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989527"},{"key":"2","first-page":"179","article-title":"addressing the course of imbalanced training sets: one-sided selection","author":"kubat","year":"1997","journal-title":"ICML"},{"key":"1","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"smote: synthetic minority over-sampling technique","volume":"16","author":"chawla","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"journal-title":"UCI repository of machine learning databases","year":"1998","author":"blake","key":"10"},{"key":"7","article-title":"learning on the border: active learning in imbalanced data classification","author":"seyda","year":"2007","journal-title":"Proceedings of the 16th Conference on Information and Knowledge Management CKM2007"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242741"},{"key":"5","first-page":"558","article-title":"learning classifiers from imbalanced data based on biased mini-max probability machine","author":"huang","year":"2004","journal-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition"},{"key":"4","first-page":"49","article-title":"class-boundary alignment for imbalanced dataset learning","volume":"8","author":"wu","year":"2003","journal-title":"The Twentieth International Conference on Machine Learning (ICML) Workshop on Learning from Imbalanced Datasets"},{"key":"9","first-page":"55","article-title":"controlling the sensitivity of support vector machines","author":"veropoulos","year":"1999","journal-title":"Proceedings of the International Joint Conference on AI"},{"key":"8","first-page":"265","article-title":"aligning boundary in kernel space for learning imbalanced dataset","author":"wu","year":"2004","journal-title":"ICDM"}],"event":{"name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","start":{"date-parts":[[2008,6,1]]},"location":"Hong Kong","end":{"date-parts":[[2008,6,8]]}},"container-title":["2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/4625775\/4633757\/04633794.pdf?arnumber=4633794","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,29]],"date-time":"2020-05-29T21:10:06Z","timestamp":1590786606000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/4633794\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,6]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2008.4633794","relation":{},"subject":[],"published":{"date-parts":[[2008,6]]}}}