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dc.contributor.advisorShamsuddin, Rittika
dc.contributor.authorKiyma, Sumeyye Sena
dc.date.accessioned2022-07-27T19:12:31Z
dc.date.available2022-07-27T19:12:31Z
dc.date.issued2022-07-25
dc.identifieroksd_URSE_2022_kiyma
dc.identifier.citationKiyma, S. E., & Shamsuddin, R. (2022, July 25). Exploring genetic algorithm as an image synthesizer for cases with limited training samples. Presentation at the Oklahoma State University Undergraduate Summer Research Expo, Stillwater, OK.
dc.identifier.urihttps://hdl.handle.net/11244/335984
dc.descriptionThis research, presented at the Oklahoma State University Undergraduate Summer Student Research Expo, is the work of a visiting author from Bilkent University (Turkey).
dc.description.sponsorshipResearch Experiences for Undergraduates in Computer Science
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsIn the Oklahoma State University Library's institutional repository this material is made available through the open access principles and the terms of agreement/consent between the author(s) and the publisher. The permission policy on the use, reproduction or distribution of the article falls under fair use for educational, scholarship, and research purposes. Contact Digital Resources and Discovery Services at lib-dls@okstate.edu or 405-744-9161 for further information.
dc.titleExploring genetic algorithm as an image synthesizer for cases with limited training samples
osu.filenameoksd_URSE_2022_kiyma.pdf
dc.description.departmentComputer Science
dc.type.genrePoster
dc.type.materialText
dc.subject.keywordsdata synthesis
dc.subject.keywordshealthcare
dc.subject.keywordsgenetic algorithm


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