{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:09:48Z","timestamp":1755799788917,"version":"3.44.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030003739"},{"type":"electronic","value":"9783030003746"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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\/978-3-030-00374-6_11","type":"book-chapter","created":{"date-parts":[[2018,9,25]],"date-time":"2018-09-25T23:43:45Z","timestamp":1537919025000},"page":"108-117","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Measuring Diversity and Accuracy in ANN Ensembles"],"prefix":"10.1007","author":[{"given":"M. Paz","family":"Sesmero","sequence":"first","affiliation":[]},{"given":"Juan Manuel","family":"Alonso-Weber","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Giuliani","sequence":"additional","affiliation":[]},{"given":"Giuliano","family":"Armano","sequence":"additional","affiliation":[]},{"given":"Araceli","family":"Sanchis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,27]]},"reference":[{"key":"11_CR1","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":"11_CR2","first-page":"97","volume":"18","author":"TG Dietterich","year":"1997","unstructured":"Dietterich, T.G.: Machine-learning research. AI Mag. 18, 97\u2013137 (1997)","journal-title":"AI Mag."},{"key":"11_CR3","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1023\/A:1018054314350","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24, 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"11_CR4","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1023\/A:1022648800760","volume":"5","author":"RE Schapire","year":"1990","unstructured":"Schapire, R.E.: The strength of weak learnability. Mach. Learn. 5, 197\u2013227 (1990)","journal-title":"Mach. Learn."},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1017\/S0269888997003123","volume":"12","author":"AJC Sharkey","year":"1997","unstructured":"Sharkey, A.J.C., Sharkey, N.E.: Combining diverse neural nets. Knowl. Eng. Rev. 12, 231\u2013247 (1997)","journal-title":"Knowl. Eng. Rev."},{"key":"11_CR6","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"TK Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20, 832\u2013844 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","author":"AL Blum","year":"1997","unstructured":"Blum, A.L., Langley, P.: Selection of relevant features and examples in machine learning. Artif. Intell. 97, 245\u2013271 (1997)","journal-title":"Artif. Intell."},{"key":"11_CR8","unstructured":"Tsymbal, A., Pechenizkiy, M., Cunningham, P.: Diversity in ensemble feature selection (2003)"},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"962","DOI":"10.1109\/72.286891","volume":"4","author":"R Anand","year":"1993","unstructured":"Anand, R., Mehrotra, K.G., Mohan, C.K., Ranka, S.: An improved algorithm for neural network classification of imbalanced training sets. IEEE Trans. Neural Netw. 4, 962\u2013969 (1993)","journal-title":"IEEE Trans. Neural Netw."},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1214\/aos\/1028144844","volume":"26","author":"T Hastie","year":"1998","unstructured":"Hastie, T., Tibshirani, R.: Classification by pairwise coupling. Ann. Stat. 26, 451\u2013471 (1998)","journal-title":"Ann. Stat."},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1613\/jair.105","volume":"2","author":"TG Dietterich","year":"1995","unstructured":"Dietterich, T.G., Bakiri, G.: Solving multiclass learning problems via error-correcting output codes. J. Artif. Intell. Res. 2, 263\u2013286 (1995)","journal-title":"J. Artif. Intell. Res."},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Murphey, Y.L., Wang, H., Ou, G.: OAHO: an effective algorithm for multi-class learning from imbalanced data. In: Proceedings of International Joint Conference on Neural Networks, pp. 406\u2013411 (2007)","DOI":"10.1109\/IJCNN.2007.4370991"},{"key":"11_CR13","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.inffus.2014.09.002","volume":"24","author":"MP Sesmero","year":"2015","unstructured":"Sesmero, M.P., Alonso-Weber, J.M., Gutierrez, G., Ledezma, A., Sanchis, A.: An ensemble approach of dual base learners for multi-class classification problems. Inf. Fusion. 24, 122\u2013136 (2015)","journal-title":"Inf. Fusion."},{"key":"11_CR14","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1023\/A:1007607513941","volume":"40","author":"TG Dietterich","year":"2000","unstructured":"Dietterich, T.G.: An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Mach. Learn. 40, 139\u2013157 (2000)","journal-title":"Mach. Learn."},{"key":"11_CR15","first-page":"269","volume":"4","author":"JF Kolen","year":"1990","unstructured":"Kolen, J.F., Pollack, J.B.: Backpropagation is sensitive to initial conditions. Complex Syst. 4, 269\u2013280 (1990)","journal-title":"Complex Syst."},{"key":"11_CR16","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, 181\u2013207 (2003)","journal-title":"Mach. Learn."},{"key":"11_CR17","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.inffus.2004.04.003","volume":"6","author":"A Tsymbal","year":"2005","unstructured":"Tsymbal, A., Pechenizkiy, M., Cunningham, P.: Diversity in search strategies for ensemble feature selection. Inf. Fusion 6, 83\u201398 (2005)","journal-title":"Inf. Fusion"},{"key":"11_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1007\/3-540-44795-4_49","volume-title":"Machine Learning: ECML 2001","author":"G Zenobi","year":"2001","unstructured":"Zenobi, G., Cunningham, P.: Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error. In: De Raedt, L., Flach, P. (eds.) ECML 2001. LNCS (LNAI), vol. 2167, pp. 576\u2013587. Springer, Heidelberg (2001). https:\/\/doi.org\/10.1007\/3-540-44795-4_49"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Gu, S., Jin, Y.: Generating diverse and accurate classifier ensembles using multi-objective optimization. In: 2014 IEEE Symposium Series on Computational Intelligence in Multi-Criteria Decision-Making, Proceedings, Orlando, pp. 9\u201315 (2014)","DOI":"10.1109\/MCDM.2014.7007182"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"L\u00f6fstr\u00fcm, T., Johansson, U., Bostr\u00f6m, H.: On the use of accuracy and diversity measures for evaluating and selecting ensembles of classifiers. In: Proceedings of the 7th International Conference on Machine Learning and Applications, ICMLA 2008, pp. 127\u2013132 (2008)","DOI":"10.1109\/ICMLA.2008.102"},{"key":"11_CR21","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/S1566-2535(02)00051-9","volume":"3","author":"CA Shipp","year":"2002","unstructured":"Shipp, C.A., Kuncheva, L.I.: Relationships between combination methods and measures of diversity in combining classifiers. Inf. Fusion 3, 135\u2013148 (2002)","journal-title":"Inf. Fusion"},{"key":"11_CR22","unstructured":"Xu, L., Yan, P., Chang, T.: Best first strategy for feature selection. In: 9th International Conference on Pattern Recognition, pp. 706\u2013708 (1988)"},{"key":"11_CR23","unstructured":"Hall, M.A.: Correlation-based feature selection for machine learning (1999). http:\/\/www.cs.waikato.ac.nz\/~mhall\/thesis.pdf"},{"key":"11_CR24","unstructured":"Frank, A., Asuncion, A.: UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml\/"},{"key":"11_CR25","unstructured":"Sesmero, M.P., Ledezma, A., Alonso-Weber, J.M., Gutierrez, G., Sanchis, A.: Control Learning and Systems Optimization Group. http:\/\/www.caos.inf.uc3m.es\/datasets\/"},{"key":"11_CR26","unstructured":"Sesmero, M.P.: Measures of Diversity and Accuracy. http:\/\/www.caos.inf.uc3m.es\/diversity-and-accuracy-in-ann-ensembles\/"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00374-6_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T04:54:04Z","timestamp":1755665644000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00374-6_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030003739","9783030003746"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00374-6_11","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":"27 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAEPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference of the Spanish Association for Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","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":"23 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caepia2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sci2s.ugr.es\/caepia18\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"240","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,1","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}