{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T23:58:30Z","timestamp":1768435110821,"version":"3.49.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2013,12,4]],"date-time":"2013-12-04T00:00:00Z","timestamp":1386115200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2014,9]]},"DOI":"10.1007\/s00521-013-1512-x","type":"journal-article","created":{"date-parts":[[2013,12,3]],"date-time":"2013-12-03T00:38:44Z","timestamp":1386031124000},"page":"525-531","source":"Crossref","is-referenced-by-count":10,"title":["ELM-based gene expression classification with misclassification cost"],"prefix":"10.1007","volume":"25","author":[{"given":"Hui-juan","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"En-hui","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-ping","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin-yong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,12,4]]},"reference":[{"key":"1512_CR1","volume-title":"Data mining concepts and techniques","author":"J Han","year":"2011","unstructured":"Han J, Kamber M (2011) Data mining concepts and techniques. Morgan Kanfnann, San Francisco CA"},{"key":"1512_CR2","unstructured":"Zheng EH, Li P, Song ZH (2006) SVM-based Cost Sensitive Mining. Information and Control\u00a03:294299"},{"key":"1512_CR3","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/TIT.1970.1054406","volume":"1","author":"CK Chow","year":"1970","unstructured":"Chow CK (1970) On optimum recognition error and reject tradeoff. IEEE Trans Inf Theory 1:41\u201346","journal-title":"IEEE Trans Inf Theory"},{"key":"1512_CR4","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.1016\/S0031-3203(98)00169-1","volume":"32","author":"P Foggia","year":"1999","unstructured":"Foggia P, Sansone C, Tortorella F et al (1999) Mulit-classification: reject criteria for the bayesian combiner. Pattern Recognit 32:1435\u20131447","journal-title":"Pattern Recognit"},{"issue":"1","key":"1512_CR5","first-page":"84","volume":"30","author":"CD Stefano","year":"2008","unstructured":"Stefano CD, Sansone C, Vento M (2008) To reject or not to reject: that is the question-answer in case of neural classifiers. IEEE Trans SMC 30(1):84\u201394","journal-title":"IEEE Trans SMC"},{"key":"1512_CR6","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1016\/j.patrec.2005.10.015","volume":"8","author":"T Landgrebe","year":"2006","unstructured":"Landgrebe T, Taxdmj CW, Paclik P et al (2006) The interaction between classification and reject performance for distance-based reject-option classifiers. Pattern Recognit Lett 8:908\u2013917","journal-title":"Pattern Recognit Lett"},{"key":"1512_CR7","unstructured":"Zheng EH et al. (2009) SVM-BASED credit card fraud detection with reject cost and class-dependent error cost. Proceedings of the PAKDD\u2019 09 Workshop: data mining when classes are imbalanced and errors have cost. Rangsit Campus: Thammasat Printing House, 2009: 50\u201358"},{"key":"1512_CR8","unstructured":"Zheng EH (2010) Cost sensitive data mining based on support vector machines: theories and applications. Control and Decision 25(2):191\u2013195"},{"key":"1512_CR9","unstructured":"Kubat M, Holte R, Matwin S (1997) Learning when negative examples abound. Machine learning: ECML-97, Lecture Notes in Artificial Intelligence. Springer. 1224:146\u2013153"},{"key":"1512_CR10","unstructured":"Chan PK, Stolfo SJ (2001) Toward scalable learning with non-uniform class and cost distributions: a case study in credit card fraud detection. Proceedings of the 4th international conference on knowledge discovery and data mining. 164\u2013168"},{"key":"1512_CR11","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1613\/jair.1199","volume":"19","author":"GM Weiss","year":"2003","unstructured":"Weiss GM, Provost F (2003) Learning when training data are costly: the effect of class distribution on tree induction. J Artif Intell Res 19:315\u2013354","journal-title":"J Artif Intell Res"},{"key":"1512_CR12","unstructured":"Japkowicz N (2000) The class imbalance problem: significance and strategies. Proceedings of the 2000 international conference on artificial intelligence: special track on inductive learning, Las Vegas"},{"key":"1512_CR13","unstructured":"Elkan C (2001) The foundation of cost-sensitive learning. Proceedings of the 17th international joint conference on artificial intelligence, Washington. 239\u2013246"},{"issue":"1","key":"1512_CR14","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/TKDE.2006.17","volume":"18","author":"ZH Zhou","year":"2006","unstructured":"Zhou ZH, Liu XY (2006) Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Trans Knowl Data Eng 18(1):63\u201377","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"2","key":"1512_CR15","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1109\/TSMCB.2008.2007853","volume":"39","author":"XY Liu","year":"2009","unstructured":"Liu XY, Wu J, Zhou ZH (2009) Exploratory under-sampling for class-imbalance learning. IEEE Trans Syst Man Cybern-Part B: Cyber 39(2):539\u2013550","journal-title":"IEEE Trans Syst Man Cybern-Part B: Cyber"},{"key":"1512_CR16","unstructured":"Ling C, Li C (1998) Data mining for direct marketing problems and solutions. Proceedings of the 4th international conference on knowledge discovery and data mining, New York. 73\u201379"},{"key":"1512_CR17","unstructured":"Drummond C, Holte R (1998) Exploiting the cost in sensitivity of decision tree splitting criteria. Proceedings of the 17th international conference on machine learning. Stanford University. 73\u201379"},{"key":"1512_CR18","unstructured":"Fan W, Stolfo S, Zhang J, Chan P (1999) Adacost: misclassification cost-sensitive boosting. Proceedings of the 16th international conference on machine learning. Bled, Slovenia. 97\u2013105"},{"issue":"1","key":"1512_CR19","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund Y, Schapire RE (1997) A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55(1):119\u2013139","journal-title":"J Comput Syst Sci"},{"issue":"4","key":"1512_CR20","first-page":"258","volume":"21","author":"JH Xiao","year":"2001","unstructured":"Xiao JH, Pan KQ, Wu JP, Yang SZ (2001) A study on SVM for fault diagnosis. J Vib Measurement Diagn 21(4):258\u2013262","journal-title":"J Vib Measurement Diagn"},{"key":"1512_CR21","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"GB Huang","year":"2006","unstructured":"Huang GB, Zhu QY, Siew CK (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489\u2013501","journal-title":"Neurocomputing"},{"key":"1512_CR22","unstructured":"Huang GB, Zhu QY, Siew CK (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. Proceedings of international joint conference on neural networks. 25\u201329"},{"issue":"1","key":"1512_CR23","first-page":"66","volume":"185","author":"JW Cao","year":"2011","unstructured":"Cao JW, Lin ZP, Huang GB, Liu N (2011) Voting based extreme learning machine. Inf Sci 185(1):66\u201377","journal-title":"Inf Sci"},{"key":"1512_CR24","unstructured":"Michie D, Spiegelhalter J, Taylor CC Machine learning neural and statistical classification. http:\/\/www.nccup.pt\/liacc\/ML\/statlog\/data.html . 199"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1512-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-013-1512-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1512-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,4]],"date-time":"2019-08-04T06:43:41Z","timestamp":1564901021000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-013-1512-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,12,4]]},"references-count":24,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2014,9]]}},"alternative-id":["1512"],"URL":"https:\/\/doi.org\/10.1007\/s00521-013-1512-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,12,4]]}}}