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dc.contributor.authorKollias, Stefanos
dc.contributor.authorStafylopatis, Andreas
dc.contributor.authorLeontidis, Georgios
dc.contributor.authorAlexandridis, Georgios
dc.contributor.authorTabouratzis, Tatiana
dc.contributor.authorDurrant, Aiden Mark
dc.date.accessioned2022-05-21T19:39:01Z
dc.date.available2022-05-21T19:39:01Z
dc.date.issued2019-08-12
dc.identifier.citationKollias , S , Stafylopatis , A , Leontidis , G , Alexandridis , G , Tabouratzis , T & Durrant , A M 2019 , Development of machine learning techniques and evaluation of analysis results . European Commission .en
dc.identifier.otherPURE: 215631169
dc.identifier.otherPURE UUID: 483543ec-1a06-4940-afb8-6fb5a8d671d2
dc.identifier.otherORCID: /0000-0001-6671-5568/work/113551211
dc.identifier.urihttps://hdl.handle.net/2164/18603
dc.descriptionCORTEX - Research and Innovation Action (RIA) This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 754316.en
dc.format.extent42
dc.language.isoeng
dc.publisherEuropean Commission
dc.subjectSDG 9 - Industry, Innovation, and Infrastructureen
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subject2040 Data and Artificial Intelligenceen
dc.subjectnuclear reactorsen
dc.subjectMachine learningen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleDevelopment of machine learning techniques and evaluation of analysis resultsen
dc.typeOtheren
dc.contributor.institutionUniversity of Aberdeen.Vice Principalsen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.description.versionPublisher PDFen
dc.identifier.urlhttps://cortex-h2020.eu/wp-content/uploads/2020/04/CORTEX_D3_4_Development_of_machine_learning_techniques_and_evaluation_of_analysis_results_V1.pdfen


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