{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T12:33:42Z","timestamp":1730205222278,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/cec55065.2022.9870435","type":"proceedings-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T15:28:14Z","timestamp":1662478094000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Objective Optimization of Sampling Algorithms Pipeline for Unbalanced Problems"],"prefix":"10.1109","author":[{"given":"Pericles B.C.","family":"Miranda","sequence":"first","affiliation":[{"name":"Universidade Federal Rural de Pernambuco,Departamento de Computa&#x00E7;&#x00E3;o"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael Ferreira","family":"Mello","sequence":"additional","affiliation":[{"name":"Universidade Federal Rural de Pernambuco,Departamento de Computa&#x00E7;&#x00E3;o"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andre C.A.","family":"Nascimento","sequence":"additional","affiliation":[{"name":"Universidade Federal Rural de Pernambuco,Departamento de Computa&#x00E7;&#x00E3;o"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tapas","family":"Si","sequence":"additional","affiliation":[{"name":"Universidade Federal Rural de Pernambuco,Departamento de Computa&#x00E7;&#x00E3;o"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"413","article-title":"Sequenciamento de algoritmos de amostragem para aumentar o desempenho de classificadores em conjuntos de dados desequilibrados","author":"barbosa","year":"2020","journal-title":"Encontro Nacional de Intelig&#x00EA;ncia Artificial e Computacional"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1972.4309137"},{"key":"ref12","article-title":"knn approach to unbalanced data distributions: a case study involving information extraction","author":"mani","year":"0","journal-title":"Proc of Workshop on Learn from Imbalanced Datasets"},{"key":"ref13","first-page":"179","article-title":"Addressing the curse of imbalanced training sets: one-sided selection","volume":"97","author":"kubat","year":"1997","journal-title":"ICML"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/11816492_89"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1976.4309452"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-012-0295-5"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.04.120"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2013.2259203"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3375462.3375496"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477988"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.04.046"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001493000698"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.088"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.08.051"},{"key":"ref20","first-page":"1","article-title":"Evolutionary dynamic multi-objective optimization algorithm based on borda count method","author":"orouskhani","year":"2017","journal-title":"International Journal of Machine Learning and Cybernetics"}],"event":{"name":"2022 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870216\/9870201\/09870435.pdf?arnumber=9870435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T17:16:03Z","timestamp":1664212563000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9870435\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/cec55065.2022.9870435","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}