{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T17:44:58Z","timestamp":1772387098199,"version":"3.50.1"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,11]],"date-time":"2020-10-11T00:00:00Z","timestamp":1602374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,11]],"date-time":"2020-10-11T00:00:00Z","timestamp":1602374400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,11]],"date-time":"2020-10-11T00:00:00Z","timestamp":1602374400000},"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":[[2020,10,11]]},"DOI":"10.1109\/smc42975.2020.9282834","type":"proceedings-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T21:44:48Z","timestamp":1607982288000},"page":"928-935","source":"Crossref","is-referenced-by-count":5,"title":["Evolutionary Feature Scaling in K-Nearest Neighbors Based on Label Dispersion Minimization"],"prefix":"10.1109","author":[{"given":"Suryoday","family":"Basak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manfred","family":"Huber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2007.55"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2011.37"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50037-X"},{"key":"ref32","article-title":"Amplifying the block matrix structure for spectral clustering","author":"fischer","year":"2005"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.01.001"},{"key":"ref30","article-title":"A critical study of selected classification algorithms for liver disease diagnosis","author":"ramana","year":"0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3233\/ISP-1981-2832801"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.05.016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/1062936X.2015.1018938"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.03.003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.10.003"},{"key":"ref40","first-page":"108","article-title":"API design for machine learning software: experiences from the scikit-learn project","author":"buitinck","year":"2013","journal-title":"ECML PKDD Workshop Languages for Data Mining and Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.09.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.11.003"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.neucom.2015.01.009","article-title":"Risk-based adaptive metric learning for nearest neighbour classification","volume":"156","author":"miao","year":"2015","journal-title":"Neurocomputing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/0898-1221(95)00015-Q"},{"key":"ref15","article-title":"Faster dynamic matrix inverse for faster lps","author":"jiang","year":"2020"},{"key":"ref16","article-title":"Airfoil self-noise and prediction","author":"brooks","year":"1989"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0008-8846(98)00165-3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/026119291404200106"},{"key":"ref19","article-title":"Randomized and evolutionary approaches to dataset characterization, feature weighting, and sampling in k-nearest neighbors","author":"basak","year":"2020","journal-title":"Ph D Dissertation"},{"key":"ref28","article-title":"Performance evaluation of supervised machine learning classifiers for predicting healthcare operational decisions","author":"amin","year":"0"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"cortes","year":"1995","journal-title":"Machine Learning"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/1520-6661(200009\/10)9:5<311::AID-MFM12>3.0.CO;2-9"},{"key":"ref3","volume":"1","author":"friedman","year":"2001","journal-title":"The Elements of Statistical Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.009"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.12.023"},{"key":"ref5","article-title":"Balanced k-nearest neighbors","author":"cook","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.02.020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.09.015"},{"key":"ref2","first-page":"128","article-title":"Deep learning vs. traditional computer vision","author":"o\u2019mahony","year":"2019","journal-title":"Science and Information Conference"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.07.005"},{"key":"ref1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3927.001.0001","author":"mitchell","year":"1996","journal-title":"An Introduction to Genetic Algorithms"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref24","article-title":"UCI machine learning repository","author":"dua","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2018.8628669"},{"key":"ref26","first-page":"9193","article-title":"Multisurface method of pattern separation for medical diagnosis applied to breast cytology","volume":"87","author":"wolberg","year":"0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.07.018"}],"event":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Toronto, ON, Canada","start":{"date-parts":[[2020,10,11]]},"end":{"date-parts":[[2020,10,14]]}},"container-title":["2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9282733\/9282811\/09282834.pdf?arnumber=9282834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T03:44:47Z","timestamp":1724039087000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9282834\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,11]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/smc42975.2020.9282834","relation":{},"subject":[],"published":{"date-parts":[[2020,10,11]]}}}