{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:52:22Z","timestamp":1740099142793,"version":"3.37.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319999531"},{"type":"electronic","value":"9783319999548"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-99954-8_21","type":"book-chapter","created":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T09:12:36Z","timestamp":1536052356000},"page":"246-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Use of Geometric Mean in the Process of Integration of Three Base Classifiers"],"prefix":"10.1007","author":[{"given":"Robert","family":"Burduk","sequence":"first","affiliation":[]},{"given":"Andrzej","family":"Kasprzak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,5]]},"reference":[{"issue":"11","key":"21_CR1","doi-asserted-by":"publisher","first-page":"3665","DOI":"10.1016\/j.patcog.2014.05.003","volume":"47","author":"AS Britto","year":"2014","unstructured":"Britto, A.S., Sabourin, R., Oliveira, L.E.: Dynamic selection of classifiersa comprehensive review. Pattern Recognit. 47(11), 3665\u20133680 (2014)","journal-title":"Pattern Recognit."},{"key":"21_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-319-59060-8_2","volume-title":"Artificial Intelligence and Soft Computing","author":"R Burduk","year":"2017","unstructured":"Burduk, R.: Integration base classifiers based on their decision boundary. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2017. LNCS (LNAI), vol. 10246, pp. 13\u201320. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-59060-8_2"},{"key":"21_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1007\/978-3-319-91253-0_54","volume-title":"Artificial Intelligence and Soft Computing","author":"R Burduk","year":"2018","unstructured":"Burduk, R.: Integration base classifiers in geometry space by harmonic mean. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds.) ICAISC 2018. LNCS (LNAI), vol. 10841, pp. 585\u2013592. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-319-91253-0_54"},{"issue":"3\u20134","key":"21_CR4","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s00521-011-0737-9","volume":"22","author":"PR Cavalin","year":"2013","unstructured":"Cavalin, P.R., Sabourin, R., Suen, C.Y.: Dynamic selection approaches for multiple classifier systems. Neural Comput. Appl. 22(3\u20134), 673\u2013688 (2013)","journal-title":"Neural Comput. Appl."},{"issue":"2\u20133","key":"21_CR5","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s10851-011-0304-0","volume":"42","author":"B Cyganek","year":"2012","unstructured":"Cyganek, B.: One-class support vector ensembles for image segmentation and classification. J. Math. Imaging Vis. 42(2\u20133), 103\u2013117 (2012)","journal-title":"J. Math. Imaging Vis."},{"key":"21_CR6","doi-asserted-by":"publisher","first-page":"2188","DOI":"10.1016\/j.patcog.2005.02.010","volume":"38","author":"L Didaci","year":"2005","unstructured":"Didaci, L., Giacinto, G., Roli, F., Marcialis, G.L.: A study on the performances of dynamic classifier selection based on local accuracy estimation. Pattern Recognit. 38, 2188\u20132191 (2005)","journal-title":"Pattern Recognit."},{"issue":"6","key":"21_CR7","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1162\/neco.1994.6.6.1289","volume":"6","author":"H Drucker","year":"1994","unstructured":"Drucker, H., Cortes, C., Jackel, L.D., LeCun, Y., Vapnik, V.: Boosting and other ensemble methods. Neural Comput. 6(6), 1289\u20131301 (1994)","journal-title":"Neural Comput."},{"key":"21_CR8","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S0167-8655(00)00096-9","volume":"22","author":"G Giacinto","year":"2001","unstructured":"Giacinto, G., Roli, F.: An approach to the automatic design of multiple classifier systems. Pattern Recognit. Lett. 22, 25\u201333 (2001)","journal-title":"Pattern Recognit. Lett."},{"key":"21_CR9","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"21_CR10","doi-asserted-by":"publisher","DOI":"10.1002\/0471660264","volume-title":"Combining Pattern Classifiers: Methods and Algorithms","author":"LI Kuncheva","year":"2004","unstructured":"Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley, New York (2004)"},{"key":"21_CR11","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.neucom.2012.03.005","volume":"94","author":"Y Li","year":"2012","unstructured":"Li, Y., Meng, D., Gui, Z.: Random optimized geometric ensembles. Neurocomputing 94, 159\u2013163 (2012)","journal-title":"Neurocomputing"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Ponti, Jr., M.P.: Combining classifiers: from the creation of ensembles to the decision fusion. In: 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T), pp. 1\u201310. IEEE (2011)","DOI":"10.1109\/SIBGRAPI-T.2011.9"},{"issue":"6","key":"21_CR13","doi-asserted-by":"publisher","first-page":"1140","DOI":"10.1109\/TPAMI.2009.31","volume":"31","author":"O Pujol","year":"2009","unstructured":"Pujol, O., Masip, D.: Geometry-based ensembles: toward a structural characterization of the classification boundary. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 1140\u20131146 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Rejer, I.: Genetic algorithms for feature selection for brain computer interface. Int. J. Pattern Recogn. Artif. Intell. 29(5), 1559008 (2015)","DOI":"10.1142\/S0218001415590089"},{"issue":"1","key":"21_CR15","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.inffus.2004.04.008","volume":"6","author":"D Ruta","year":"2005","unstructured":"Ruta, D., Gabrys, B.: Classifier selection for majority voting. Inf. Fusion 6(1), 63\u201381 (2005)","journal-title":"Inf. Fusion"},{"key":"21_CR16","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/978-3-540-76280-5_14","volume-title":"Machine Learning in Document Analysis and Recognition","author":"S Tulyakov","year":"2008","unstructured":"Tulyakov, S., Jaeger, S., Govindaraju, V., Doermann, D.: Review of classifier combination methods. In: Marinai, S., Fujisawa, H. (eds.) Machine Learning in Document Analysis and Recognition, vol. 90, pp. 361\u2013386. Springer, Heidelberg (2008). \nhttps:\/\/doi.org\/10.1007\/978-3-540-76280-5_14"},{"key":"21_CR17","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.inffus.2013.04.006","volume":"16","author":"M Wo\u017aniak","year":"2014","unstructured":"Wo\u017aniak, M., Gra\u00f1a, M., Corchado, E.: A survey of multiple classifier systems as hybrid systems. Inf. Fusion 16, 3\u201317 (2014)","journal-title":"Inf. Fusion"},{"issue":"3","key":"21_CR18","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/21.155943","volume":"22","author":"L Xu","year":"1992","unstructured":"Xu, L., Krzyzak, A., Suen, C.Y.: Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst. Man Cybern. 22(3), 418\u2013435 (1992)","journal-title":"IEEE Trans. Syst. Man Cybern."}],"container-title":["Lecture Notes in Computer Science","Computer Information Systems and Industrial Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99954-8_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T09:25:35Z","timestamp":1536053135000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99954-8_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319999531","9783319999548"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99954-8_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}