dc.contributor.author | Kollias, Stefanos | |
dc.contributor.author | Stafylopatis, Andreas | |
dc.contributor.author | Leontidis, Georgios | |
dc.contributor.author | Alexandridis, Georgios | |
dc.contributor.author | Tabouratzis, Tatiana | |
dc.contributor.author | Durrant, Aiden | |
dc.date.accessioned | 2022-05-21T19:39:01Z | |
dc.date.available | 2022-05-21T19:39:01Z | |
dc.date.issued | 2019-08-12 | |
dc.identifier | 215631169 | |
dc.identifier | 483543ec-1a06-4940-afb8-6fb5a8d671d2 | |
dc.identifier.citation | Kollias , S , Stafylopatis , A , Leontidis , G , Alexandridis , G , Tabouratzis , T & Durrant , A 2019 , Development of machine learning techniques and evaluation of analysis results . European Commission . | en |
dc.identifier.other | ORCID: /0000-0001-6671-5568/work/113551211 | |
dc.identifier.other | ORCID: /0000-0002-8375-4523/work/148505716 | |
dc.identifier.uri | https://hdl.handle.net/2164/18603 | |
dc.description | CORTEX - 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.extent | 42 | |
dc.format.extent | 1431572 | |
dc.language.iso | eng | |
dc.publisher | European Commission | |
dc.subject | SDG 9 - Industry, Innovation, and Infrastructure | en |
dc.subject | SDG 7 - Affordable and Clean Energy | en |
dc.subject | 2040 Data and Artificial Intelligence | en |
dc.subject | nuclear reactors | en |
dc.subject | Machine learning | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject.lcc | QA75 | en |
dc.title | Development of machine learning techniques and evaluation of analysis results | en |
dc.type | Other | en |
dc.contributor.institution | University of Aberdeen.Computing Science | en |
dc.contributor.institution | University of Aberdeen.Machine Learning | en |
dc.identifier.url | https://cortex-h2020.eu/wp-content/uploads/2020/04/CORTEX_D3_4_Development_of_machine_learning_techniques_and_evaluation_of_analysis_results_V1.pdf | en |