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The encapsulation of classifier ensembles that produce different models through training process into semi-supervised schemes seems to be a promising strategy for enhanced learning ability. In this work, a Self-trained Rotation Forest (Self-RotF) algorithm and a variant of this (Weighted-Self-RotF) are presented. We performed an in depth comparison with other well-known semi-supervised classification methods on standard benchmark datasets and after having tested their performance with statistical tests, we finally reached to the point that the presented technique had better accuracy in most cases.<\/jats:p>","DOI":"10.3233\/jifs-152641","type":"journal-article","created":{"date-parts":[[2016,10,28]],"date-time":"2016-10-28T10:36:21Z","timestamp":1477650981000},"page":"711-722","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Self-trained Rotation Forest for\u00a0semi-supervised learning"],"prefix":"10.1177","volume":"32","author":[{"given":"Nikos","family":"Fazakis","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Patras, Greece"}]},{"given":"Stamatis","family":"Karlos","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Patras, Greece"}]},{"given":"Sotiris","family":"Kotsiantis","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Patras, Greece"}]},{"given":"Kyriakos","family":"Sgarbas","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Patras, Greece"}]}],"member":"179","published-online":{"date-parts":[[2016,10,28]]},"reference":[{"issue":"1","key":"e_1_3_2_2_2","article-title":"Introduction to semi-supervised learning","volume":"3","author":"Zhu X.","year":"2009","unstructured":"ZhuX. and GoldbergA.B., Introduction to semi-supervised learning, Morgan & Claypool 3(1) (2009).","journal-title":"Morgan & Claypool"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.186"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2011.05.005"},{"key":"e_1_3_2_5_2","first-page":"29","article-title":"Semi-Supervised Self-Training of Object Detection Models","volume":"1","author":"Rosenberg C.","year":"2005","unstructured":"RosenbergC., HebertM. and SchneidermanH., Semi-Supervised Self-Training of Object Detection Models, in 2005 Seventh IEEE Workshops on Applications of Computer Vision - Volume 1, vol. 1, 2005, pp. 29\u201336.","journal-title":"2005 Seventh IEEE Workshops on Applications of Computer Vision - Volume 1"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-151658"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2011.03.018"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2130270"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2010.03.015"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0706-y"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.10.017"},{"key":"e_1_3_2_12_2","first-page":"1","article-title":"Someren and H. 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