{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T15:10:02Z","timestamp":1751382602827,"version":"3.41.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/ssci.2017.8280875","type":"proceedings-article","created":{"date-parts":[[2018,2,7]],"date-time":"2018-02-07T21:44:37Z","timestamp":1518039877000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["Classification of high dimensional data using LASSO ensembles"],"prefix":"10.1109","author":[{"given":"Daniel","family":"Urda","sequence":"first","affiliation":[]},{"given":"Leonardo","family":"Franco","sequence":"additional","affiliation":[]},{"given":"Jose M.","family":"Jerez","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1","article-title":"Ensemble methods in machine learning","author":"dietterich","year":"2000","journal-title":"Proceedings of the First International Workshop on Multiple Classifier Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015432"},{"key":"ref12","first-page":"39","author":"do","year":"2010","journal-title":"Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0117844"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2006.1688199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.109"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-12-323"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso: a retrospective","volume":"58","author":"tibshirani","year":"1996","journal-title":"Journal of the Royal Statistical Society Series B (Statistical Methodology)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4137\/BMI.S7513"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2988544"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.08.060"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-56148-6_52"},{"key":"ref8","first-page":"1293","author":"wang","year":"2011","journal-title":"A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.12.129"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.csbj.2014.11.005","article-title":"Machine learning applications in cancer prognosis and prediction","volume":"13","author":"kourou","year":"2015","journal-title":"Computational and Structural Biotechnology Journal"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-13-94"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOS870"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v033.i01"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017197"},{"key":"ref21","first-page":"1089","article-title":"No unbiased estimator of the variance of k-fold cross-validation","volume":"5","author":"bengio","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref24","first-page":"665","article-title":"Bayesian comparison of machine learning algorithms on single and multiple datasets","volume":"22","author":"lacoste","year":"2012","journal-title":"Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref23","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"}],"event":{"name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2017,11,27]]},"location":"Honolulu, HI","end":{"date-parts":[[2017,12,1]]}},"container-title":["2017 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267146\/8280782\/08280875.pdf?arnumber=8280875","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T14:42:29Z","timestamp":1751380949000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8280875\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ssci.2017.8280875","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}