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The confidence screening mechanism for the deep forest proposed by Pang et\u00a0al., strictly removes instances from training and testing processes to simplify the whole algorithm in accordance with the obtained random forest class probability distributions. This strict removal may lead to a very small number of training instances at the next levels of the deep forest cascade. The presented modification is more flexible and assigns weights to instances in order to differentiate their use in building decision trees at every level of the deep forest cascade. It overcomes the main disadvantage of the confidence screening mechanism. The proposed modification is similar to the AdaBoost algorithm to some extent. Numerical experiments illustrate the outperformance of the proposed modification in comparison with the original deep forest. It is also illustrated how the proposed algorithm can be extended for solving the transfer learning and distance metric learning problems. <\/jats:p>","DOI":"10.1142\/s0219622020500236","type":"journal-article","created":{"date-parts":[[2020,5,31]],"date-time":"2020-05-31T02:49:30Z","timestamp":1590893370000},"page":"963-986","source":"Crossref","is-referenced-by-count":10,"title":["A New Adaptive Weighted Deep Forest and Its Modifications"],"prefix":"10.1142","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5637-1420","authenticated-orcid":false,"given":"Lev V.","family":"Utkin","sequence":"first","affiliation":[{"name":"Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia"}]},{"given":"Andrei V.","family":"Konstantinov","sequence":"additional","affiliation":[{"name":"Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia"}]},{"given":"Viacheslav S.","family":"Chukanov","sequence":"additional","affiliation":[{"name":"Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia"}]},{"given":"Anna A.","family":"Meldo","sequence":"additional","affiliation":[{"name":"St. Petersburg Clinical Research Center for Special Types of Medical Care (Oncological), St. Petersburg, Russia"}]}],"member":"219","published-online":{"date-parts":[[2020,7,22]]},"reference":[{"key":"S0219622020500236BIB001","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9326-7_2"},{"key":"S0219622020500236BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9124-7"},{"key":"S0219622020500236BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.04.006"},{"key":"S0219622020500236BIB004","doi-asserted-by":"publisher","DOI":"10.1201\/b12207"},{"key":"S0219622020500236BIB005","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"S0219622020500236BIB006","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/497"},{"key":"S0219622020500236BIB007","doi-asserted-by":"publisher","DOI":"10.3846\/tede.2019.8740"},{"key":"S0219622020500236BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00158"},{"key":"S0219622020500236BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"S0219622020500236BIB010","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1362-6"},{"key":"S0219622020500236BIB013","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"S0219622020500236BIB015","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2847-3"},{"key":"S0219622020500236BIB017","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2018.8408224"},{"key":"S0219622020500236BIB018","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2793960"},{"key":"S0219622020500236BIB019","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00767-6_74"},{"key":"S0219622020500236BIB020","doi-asserted-by":"publisher","DOI":"10.26438\/ijcse\/v6i8.115123"},{"key":"S0219622020500236BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8517679"},{"key":"S0219622020500236BIB022","doi-asserted-by":"publisher","DOI":"10.2174\/1566523218666180913110949"},{"issue":"5","key":"S0219622020500236BIB023","first-page":"118:1","volume":"19","author":"Guo Y.","year":"2018","journal-title":"BMC Bioinformatics"},{"key":"S0219622020500236BIB024","first-page":"1664","volume-title":"IEEE Int. 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