Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets Miranda, PBC, Morais, RFAB and Silva, RMA 2018, Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets, in CEC 2018: Proceedings of the Congress on Evolutionary Computation 2018, IEEE, Piscataway, N.J., pp. 2324-2330, doi: 10.1109/CEC.2018.8477988. Attached Files Name Description MIMEType Size Downloads Title Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets Author(s) Miranda, PBC Morais, RFAB Silva, RMA Conference name IEEE on Evolutionary Computation. Congress (2018 : Rio de Janeiro, Brazil) Conference location Rio de Janeiro, Brazil Conference dates 2018/07/08 - 2018/07/13 Title of proceedings CEC 2018: Proceedings of the Congress on Evolutionary Computation 2018 Publication date 2018 Series IEEE Congress on Evolutionary Computation Start page 2324 End page 2330 Total pages 7 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods DESIGN Engineering Engineering, Electrical & Electronic Imbalanced Datasets Many-Objective Optimization Sampling Algorithms Science & Technology Technology Language eng DOI 10.1109/CEC.2018.8477988 HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30156682 Document type: Conference Paper Collection: A2I2 (Applied Artificial Intelligence Institute) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 07 Oct 2021, 08:53:10 EST Fri, 08 Oct 2021, 07:16:11 EST Sat, 23 Oct 2021, 01:31:06 EST Fri, 03 Dec 2021, 13:01:04 EST Fri, 03 Dec 2021, 14:37:25 EST Wed, 13 Apr 2022, 15:38:54 EST Wed, 13 Apr 2022, 16:06:38 EST Wed, 13 Apr 2022, 16:27:07 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 34 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Fri, 03 Dec 2021, 13:01:04 EST