{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T01:40:03Z","timestamp":1751679603479,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319926384"},{"type":"electronic","value":"9783319926391"}],"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\/978-3-319-92639-1_25","type":"book-chapter","created":{"date-parts":[[2018,6,7]],"date-time":"2018-06-07T10:31:25Z","timestamp":1528367485000},"page":"302-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Preliminary Study of Diversity in Extreme Learning Machines Ensembles"],"prefix":"10.1007","author":[{"given":"Carlos","family":"Perales-Gonz\u00e1lez","sequence":"first","affiliation":[]},{"given":"Mariano","family":"Carbonero-Ruz","sequence":"additional","affiliation":[]},{"given":"David","family":"Becerra-Alonso","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Fern\u00e1ndez-Navarro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,8]]},"reference":[{"key":"25_CR1","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2016","unstructured":"Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, Burlington (2016)"},{"key":"25_CR2","volume-title":"Foundations of Machine Learning","author":"M Mohri","year":"2012","unstructured":"Mohri, M., Rostamizadeh, A., Talwalkar, A.: Foundations of Machine Learning. MIT press, Cambridge (2012)"},{"key":"25_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","volume-title":"Multiple Classifier Systems","author":"TG Dietterich","year":"2000","unstructured":"Dietterich, T.G.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 1\u201315. Springer, Heidelberg (2000). https:\/\/doi.org\/10.1007\/3-540-45014-9_1"},{"key":"25_CR4","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.patcog.2017.05.007","volume":"70","author":"L Zhang","year":"2017","unstructured":"Zhang, L., Shah, S., Kakadiaris, I.: Hierarchical multi-label classification using fully associative ensemble learning. Pattern Recogn. 70, 89\u2013103 (2017)","journal-title":"Pattern Recogn."},{"key":"25_CR5","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.inffus.2017.02.004","volume":"37","author":"B Krawczyk","year":"2017","unstructured":"Krawczyk, B., Minku, L.L., Gama, J., Stefanowski, J., Wo\u017aniak, M.: Ensemble learning for data stream analysis: a survey. Inf. Fusion 37, 132\u2013156 (2017)","journal-title":"Inf. Fusion"},{"key":"25_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-1-4419-9326-71","volume-title":"Ensemble Machine Learning","author":"R Polikar","year":"2012","unstructured":"Polikar, R.: Ensemble learning. In: Zhang, C., Ma, Y. (eds.) Ensemble Machine Learning, pp. 1\u201334. Springer, Boston (2012). https:\/\/doi.org\/10.1007\/978-1-4419-9326-71"},{"key":"25_CR7","first-page":"123","volume":"24","author":"L Bbeiman","year":"1996","unstructured":"Bbeiman, L.: Bagging predictors. Mach, Learn. 24, 123\u2013140 (1996)","journal-title":"Mach, Learn."},{"key":"25_CR8","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55, 119\u2013139 (1997)","journal-title":"J. Comput. Syst. Sci."},{"issue":"1","key":"25_CR9","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang, G.-B., Zhu, Q.-Y., Siew, C.-K.: Extreme learning machine: theory and applications. Neurocomputing 70(1), 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"issue":"2","key":"25_CR10","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"G-B Huang","year":"2012","unstructured":"Huang, G.-B., Zhou, H., Ding, X., Zhang, R.: Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern. Part B Cybern. 42(2), 513\u201329 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Tian, H., Meng, B.: A new modeling method based on bagging elm for day-ahead electricity price prediction. In: 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), pp. 1076\u20131079. IEEE (2010)","DOI":"10.1109\/BICTA.2010.5645111"},{"issue":"10","key":"25_CR12","doi-asserted-by":"publisher","first-page":"1898","DOI":"10.1109\/TCYB.2014.2299291","volume":"44","author":"A Riccardi","year":"2014","unstructured":"Riccardi, A., Fern\u00e1ndez-Navarro, F., Carloni, S.: Cost-sensitive AdaBoost algorithm for ordinal regression based on extreme learning machine. IEEE Trans. Cybern. 44(10), 1898\u20131909 (2014)","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"25_CR13","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"LI Kuncheva","year":"2003","unstructured":"Kuncheva, L.I., Whitaker, C.J.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 51(2), 181\u2013207 (2003)","journal-title":"Mach. Learn."},{"issue":"5","key":"25_CR14","first-page":"771","volume":"14","author":"Y Freund","year":"1999","unstructured":"Freund, Y., Schapire, R.E.: A short introduction to boosting. J. Jpn. Soc. Artif. Intell. 14(5), 771\u2013780 (1999)","journal-title":"J. Jpn. Soc. Artif. Intell."},{"key":"25_CR15","unstructured":"Lichman, M.: UCI machine learning repository (2013)"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Ran, Y., Sun, X., Sun, H., Sun, L., Wang, X., Ran, Y.W.X., Sun, X., Sun, H., Sun, L.: Boosting ridge extreme learning machine. In: Proceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012, pp. 881\u2013884 (2012)","DOI":"10.1109\/ISRA.2012.6219332"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Wang, S., Chen, H., Yao, X.: Negative correlation learning for classification ensembles. In: Proceedings of the International Joint Conference on Neural Networks (2010)","DOI":"10.1109\/IJCNN.2010.5596702"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92639-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:59:29Z","timestamp":1751677169000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-92639-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319926384","9783319926391"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92639-1_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"8 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Oviedo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/hais2018.uniovi.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}