{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:53:55Z","timestamp":1760597635979,"version":"3.40.5"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662456514"},{"type":"electronic","value":"9783662456521"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-45652-1_7","type":"book-chapter","created":{"date-parts":[[2014,12,4]],"date-time":"2014-12-04T11:48:32Z","timestamp":1417693712000},"page":"60-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Fusion of Classifiers Based on a Novel 2-Stage Model"],"prefix":"10.1007","author":[{"given":"Tien Thanh","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Alan Wee-Chung","family":"Liew","sequence":"additional","affiliation":[]},{"given":"Minh Toan","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Thi Thu Thuy","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Mai Phuong","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,12,5]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Duin, R.P.W.: The Combining Classifier: To Train or Not to Train? In: Proceedings of the 16th International Conference on Pattern Recognition, vol. 2, pp. 765\u2013770 (2002)","DOI":"10.1109\/ICPR.2002.1048415"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Izenman, A.J.: Modern Multivariate Statistical Techniques, ch. 14. Springer, New York (2008)","DOI":"10.1007\/978-0-387-78189-1"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Kuncheva, L.I., Bezdek, J.C., Duin, R.P.W.: Decision Templates for Multi Classifier Fusion: An Experimental Comparison. Pattern Recognition 34(2) 299\u2013314 (2001)","DOI":"10.1016\/S0031-3203(99)00223-X"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Kuncheva, L.I.: A theoretical Study on Six Classifier Fusion Strategies. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(2) (2002)","DOI":"10.1109\/34.982906"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Ting, K.M., Witten, I.H.: Issues in Stacked Generation. Journal of Artificial In Intelligence Research 10, 271\u2013289 (1999)","DOI":"10.1613\/jair.594"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On Combining Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3) (1998)","DOI":"10.1109\/34.667881"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1023\/A:1007559205422","volume":"36","author":"C Merz","year":"1999","unstructured":"Merz, C.: Using Correspondence Analysis to Combine Classifiers. Machine Learning 36, 33\u201358 (1999)","journal-title":"Machine Learning"},{"key":"7_CR8","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1023\/A:1021709817809","volume":"50","author":"L Todorovski","year":"2003","unstructured":"Todorovski, L., D\u017eeroski, S.: Combining Classifiers with Meta Decision Trees. Machine Learning 50, 223\u2013249 (2003)","journal-title":"Machine Learning"},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1023\/B:MACH.0000015881.36452.6e","volume":"54","author":"S D\u017eeroski","year":"2004","unstructured":"D\u017eeroski, S., \u017denko, B.: Is Combining Classifiers with Stacking Better than Selecting the Best One? Machine Learning 54, 255\u2013273 (2004)","journal-title":"Machine Learning"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Benediktsson, J.A., Kanellopoulos, I.: Classification of Multisource and Hyperspectral Data Based on Decision Fusion. IEEE Transactions on Geoscience and Remote Sensing 37(3) (May 1999)","DOI":"10.1109\/36.763301"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Lepisto, L., Kunttu, I., Autio, J., Visa, A.: Classification of Non-Homogeneous Texture Images by Combining Classifier. In: Proceedings International Conference on Image Processing, vol. 1, pp. 981\u2013984 (2003)","DOI":"10.1109\/ICIP.2003.1247129"},{"key":"7_CR12","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.patrec.2012.10.008","volume":"34","author":"MU Sen","year":"2013","unstructured":"Sen, M.U., Erdogan, H.: Linear classifier combination and selection using group sparse regularization and hinge loss. Pattern Recognition Letters 34, 265\u2013274 (2013)","journal-title":"Pattern Recognition Letters"},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.patcog.2005.08.016","volume":"40","author":"Y-S Chen","year":"2007","unstructured":"Chen, Y.-S., Hung, Y.-P., Yen, T.-F., Fuh, C.-S.: Fast and versatile algorithm for nearest neighbor search based on a lower bound tree. Pattern Recognition 40, 360\u2013375 (2007)","journal-title":"Pattern Recognition"},{"key":"7_CR14","unstructured":"Seeward, A.K.: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness? In: Proceedings of the Nineteenth International Conference on Machine Learning, pp. 554\u2013561 (2002)"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1007\/s10278-011-9380-3","volume":"24","author":"BC Ko","year":"2011","unstructured":"Ko, B.C., Kim, S.H., Nam, J.Y.: X-ray Image Classification Using Random Forests with Local Wavelet-Based CS-Local Binary Pattern. J. Digital Imaging 24, 1141\u20131151 (2011)","journal-title":"J. Digital Imaging"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-45652-1_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T23:01:46Z","timestamp":1747177306000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-45652-1_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783662456514","9783662456521"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-45652-1_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"5 December 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}