{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:25Z","timestamp":1750220545014,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":72,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T00:00:00Z","timestamp":1624665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,26]]},"DOI":"10.1145\/3449639.3459324","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T17:51:58Z","timestamp":1624297918000},"page":"812-821","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Towards effective GP multi-class classification based on dynamic targets"],"prefix":"10.1145","author":[{"given":"Stefano","family":"Ruberto","sequence":"first","affiliation":[{"name":"European Commission Joint Research Centre (JRC), Ispra, Italy"}]},{"given":"Valerio","family":"Terragni","sequence":"additional","affiliation":[{"name":"University of Auckland, Auckland, New Zealand"}]},{"given":"Jason H.","family":"Moore","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}]}],"member":"320","published-online":{"date-parts":[[2021,6,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37207-0_1"},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Survey on multiclass classification methods","volume":"19","author":"Aly Mohamed","year":"2005","unstructured":"Mohamed Aly . 2005 . Survey on multiclass classification methods . Neural Netw 19 (2005), 1 -- 9 . Mohamed Aly. 2005. Survey on multiclass classification methods. Neural Netw 19 (2005), 1--9.","journal-title":"Neural Netw"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.049"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03493-1_39"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2952304"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185630"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2167144"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297018"},{"key":"e_1_3_2_1_9_1","unstructured":"Leo Breiman J. H. Friedman R. A. Olshen and C. J. Stone. 1984. Classification and Regression Trees. Wadsworth.  Leo Breiman J. H. Friedman R. A. Olshen and C. J. Stone. 1984. Classification and Regression Trees. Wadsworth."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3321995"},{"key":"e_1_3_2_1_11_1","volume-title":"Carreiras","author":"Castelli Mauro","year":"2013","unstructured":"Mauro Castelli , Sara Silva , Leonardo Vanneschi , Ana Cabral , Maria J. Vasconcelos , Lu\u00eds Catarino , and Jo\u00e3o M. B . Carreiras . 2013 . Land Cover\/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. In Applications of Evolutionary Computation. Springer Berlin Heidelberg , Berlin, Heidelberg, 334--343. Mauro Castelli, Sara Silva, Leonardo Vanneschi, Ana Cabral, Maria J. Vasconcelos, Lu\u00eds Catarino, and Jo\u00e3o M. B. Carreiras. 2013. Land Cover\/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. In Applications of Evolutionary Computation. Springer Berlin Heidelberg, Berlin, Heidelberg, 334--343."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/WISP.2007.4447575"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Corinna Cortes and Vladimir Vapnik. 1995. Support-Vector Networks. In Machine Learning. 273--297.  Corinna Cortes and Vladimir Vapnik. 1995. Support-Vector Networks. In Machine Learning. 273--297.","DOI":"10.1007\/BF00994018"},{"key":"e_1_3_2_1_14_1","unstructured":"Joe Davison. 2020. DEvol: Automated Deep Neural Network Design via Genetic Programming. https:\/\/github.com\/joeddav\/devol  Joe Davison. 2020. DEvol: Automated Deep Neural Network Design via Genetic Programming. https:\/\/github.com\/joeddav\/devol"},{"key":"e_1_3_2_1_15_1","volume-title":"The mahalanobis distance. Chemometrics and intelligent laboratory systems 50, 1","author":"Maesschalck Roy De","year":"2000","unstructured":"Roy De Maesschalck , Delphine Jouan-Rimbaud , and D\u00e9sir\u00e9 L Massart . 2000. The mahalanobis distance. Chemometrics and intelligent laboratory systems 50, 1 ( 2000 ), 1--18. Roy De Maesschalck, Delphine Jouan-Rimbaud, and D\u00e9sir\u00e9 L Massart. 2000. The mahalanobis distance. Chemometrics and intelligent laboratory systems 50, 1 (2000), 1--18."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2009.5178917"},{"key":"e_1_3_2_1_17_1","unstructured":"Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml  Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml"},{"key":"e_1_3_2_1_18_1","volume-title":"The Foundations of Cost-Sensitive Learning. In In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. 973--978","author":"Elkan Charles","year":"2001","unstructured":"Charles Elkan . 2001 . The Foundations of Cost-Sensitive Learning. In In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. 973--978 . Charles Elkan. 2001. The Foundations of Cost-Sensitive Learning. In In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. 973--978."},{"key":"e_1_3_2_1_19_1","article-title":"Neural Architecture Search: A Survey","volume":"20","author":"Elsken Thomas","year":"2019","unstructured":"Thomas Elsken , Jan Hendrik Metzen , and Frank Hutter . 2019 . Neural Architecture Search: A Survey . J. Mach. Learn. Res. 20 (2019), 55:1--55:21. Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter. 2019. Neural Architecture Search: A Survey. J. Mach. Learn. Res. 20 (2019), 55:1--55:21.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2009.2033566"},{"key":"e_1_3_2_1_21_1","volume-title":"A multiple resampling method for learning from imbalanced data sets. Computational intelligence 20, 1","author":"Estabrooks Andrew","year":"2004","unstructured":"Andrew Estabrooks , Taeho Jo , and Nathalie Japkowicz . 2004. A multiple resampling method for learning from imbalanced data sets. Computational intelligence 20, 1 ( 2004 ), 18--36. Andrew Estabrooks, Taeho Jo, and Nathalie Japkowicz. 2004. A multiple resampling method for learning from imbalanced data sets. Computational intelligence 20, 1 (2004), 18--36."},{"key":"e_1_3_2_1_22_1","unstructured":"Jerome Friedman Trevor Hastie Robert Tibshirani etal 2001. The elements of statistical learning. Vol. 1. Springer series in statistics New York.  Jerome Friedman Trevor Hastie Robert Tibshirani et al. 2001. The elements of statistical learning. Vol. 1. Springer series in statistics New York."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460310.3460311"},{"key":"e_1_3_2_1_24_1","volume-title":"Wilcoxon Rank Sum Test. Encyclopedia of systems biology","author":"Haynes Winston","year":"2013","unstructured":"Winston Haynes . 2013. Wilcoxon Rank Sum Test. Encyclopedia of systems biology ( 2013 ), 2354--2355. Winston Haynes. 2013. Wilcoxon Rank Sum Test. Encyclopedia of systems biology (2013), 2354--2355."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2362729"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.598994"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.709601"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.79.8.2554"},{"key":"e_1_3_2_1_29_1","volume-title":"Madden","author":"Howley Tom","year":"2005","unstructured":"Tom Howley and Michael G . Madden . 2005 . The genetic kernel support vector machine: Description and evaluation. Artificial intelligence review 24, 3-4 (2005), 379--395. Tom Howley and Michael G. Madden. 2005. The genetic kernel support vector machine: Description and evaluation. Artificial intelligence review 24, 3-4 (2005), 379--395."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44303-3_5"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2007.4424615"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36599-0_7"},{"key":"e_1_3_2_1_33_1","volume-title":"International Conference on Parallel Problem Solving from Nature. Springer, 124--128","author":"Koza John R","year":"1990","unstructured":"John R Koza . 1990 . Concept formation and decision tree induction using the genetic programming paradigm . In International Conference on Parallel Problem Solving from Nature. Springer, 124--128 . John R Koza. 1990. Concept formation and decision tree induction using the genetic programming paradigm. In International Conference on Parallel Problem Solving from Nature. Springer, 124--128."},{"volume-title":"Genetic programming - on the programming of computers by means of natural selection","author":"Koza John R.","key":"e_1_3_2_1_34_1","unstructured":"John R. Koza . 1993. Genetic programming - on the programming of computers by means of natural selection . MIT Press . John R. Koza. 1993. Genetic programming - on the programming of computers by means of natural selection. MIT Press."},{"key":"e_1_3_2_1_35_1","unstructured":"Krzysztof Krawiec. [n.d.]. Genetic Programming Based Construction of Featuresfor Machine Learning and Knowledge Discovery Tasks. ([n. d.]).  Krzysztof Krawiec. [n.d.]. Genetic Programming Based Construction of Featuresfor Machine Learning and Knowledge Discovery Tasks. ([n. d.])."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205651.3208217"},{"key":"e_1_3_2_1_37_1","volume-title":"Moore","author":"Cava William La","year":"2019","unstructured":"William La Cava , Sara Silva , Kourosh Danai , Lee Spector , Leonardo Vanneschi , and Jason H . Moore . 2019 . Multidimensional genetic programming for multiclass classification. Swarm and evolutionary computation 44 (2019), 260--272. William La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, and Jason H. Moore. 2019. Multidimensional genetic programming for multiclass classification. Swarm and evolutionary computation 44 (2019), 260--272."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55849-3_11"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2005.1554956"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.01.003"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.01.006"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55696-3_8"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205476"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2739482.2764659"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2908812.2908857"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44794-6_26"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321737"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.182"},{"key":"e_1_3_2_1_49_1","volume-title":"European Conference on Genetic Programming. Springer, 78--91","author":"Mu\u00f1oz Luis","year":"2015","unstructured":"Luis Mu\u00f1oz , Sara Silva , and Leonardo Trujillo . 2015 . M3gp-multiclass classification with gp . In European Conference on Genetic Programming. Springer, 78--91 . Luis Mu\u00f1oz, Sara Silva, and Leonardo Trujillo. 2015. M3gp-multiclass classification with gp. In European Conference on Genetic Programming. Springer, 78--91."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-018-0274-5"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78671-9_21"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205539"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3067695.3082497"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIBCB.2006.330951"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3321958"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205536"},{"key":"e_1_3_2_1_57_1","unstructured":"Riccardo Poli William B. Langdon and Nicholas Freitag McPhee. 2008. A Field Guide to Genetic Programming. lulu.com. http:\/\/www.gp-field-guide.org.uk\/  Riccardo Poli William B. Langdon and Nicholas Freitag McPhee. 2008. A Field Guide to Genetic Programming. lulu.com. http:\/\/www.gp-field-guide.org.uk\/"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976604773135104"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377929.3389981"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58115-2_5"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-44094-7_11"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377929.3397486"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/1830483.1830584"},{"volume-title":"Multiclass classification through multidimensional clustering","author":"Silva Sara","key":"e_1_3_2_1_66_1","unstructured":"Sara Silva , Luis Munoz , Leonardo Trujillo , Vijay Ingalalli , Mauro Castelli , and Leonardo Vanneschi . 2016. Multiclass classification through multidimensional clustering . In Genetic Programming Theory and Practice XIII. Springer , 219--239. Sara Silva, Luis Munoz, Leonardo Trujillo, Vijay Ingalalli, Mauro Castelli, and Leonardo Vanneschi. 2016. Multiclass classification through multidimensional clustering. In Genetic Programming Theory and Practice XIII. Springer, 219--239."},{"key":"e_1_3_2_1_67_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference","author":"Sotto L\u00e9o FDP","year":"2016","unstructured":"L\u00e9o FDP Sotto , Regina C. Coelho , and Vin\u00edcius V . de Melo. 2016. Classification of cardiac arrhythmia by random forests with features constructed by kaizen programming with linear genetic programming . In Proceedings of the Genetic and Evolutionary Computation Conference 2016 . 813--820. L\u00e9o FDP Sotto, Regina C. Coelho, and Vin\u00edcius V. de Melo. 2016. Classification of cardiac arrhythmia by random forests with features constructed by kaizen programming with linear genetic programming. In Proceedings of the Genetic and Evolutionary Computation Conference 2016. 813--820."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330784.2330846"},{"volume-title":"Proceedings of the 9th annual conference on Genetic and evolutionary computation. 1702--1707","author":"Keith","key":"e_1_3_2_1_69_1","unstructured":"Keith M. Sullivan and Sean Luke. 2007. Evolving kernels for support vector machine classification . In Proceedings of the 9th annual conference on Genetic and evolutionary computation. 1702--1707 . Keith M. Sullivan and Sean Luke. 2007. Evolving kernels for support vector machine classification. In Proceedings of the 9th annual conference on Genetic and evolutionary computation. 1702--1707."},{"key":"e_1_3_2_1_70_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00)","author":"Tanigawa Toru","year":"2000","unstructured":"Toru Tanigawa and Qiangfu Zhao . 2000 . A Study on Efficient Generation of Decision Trees Using Genetic Programming . In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00) , Las Vegas, Nevada, USA , July 8-12, 2000. Morgan Kaufmann, 1047--1052. Toru Tanigawa and Qiangfu Zhao. 2000. A Study on Efficient Generation of Decision Trees Using Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000. Morgan Kaufmann, 1047--1052."},{"key":"e_1_3_2_1_71_1","unstructured":"USGS. [n.d.]. U.S. geological survey (USGS) earth resources observation systems (EROS) data center (EDC). http:\/\/glovis.usgs.gov\/  USGS. [n.d.]. U.S. geological survey (USGS) earth resources observation systems (EROS) data center (EDC). http:\/\/glovis.usgs.gov\/"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(03)00044-X"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24653-4_38"}],"event":{"name":"GECCO '21: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Lille France","acronym":"GECCO '21"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449639.3459324","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3449639.3459324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:09Z","timestamp":1750195689000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449639.3459324"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,26]]},"references-count":72,"alternative-id":["10.1145\/3449639.3459324","10.1145\/3449639"],"URL":"https:\/\/doi.org\/10.1145\/3449639.3459324","relation":{},"subject":[],"published":{"date-parts":[[2021,6,26]]},"assertion":[{"value":"2021-06-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}