首页|New Machine Learning Findings from University of Salamanca Described (Koopaml: a Graphical Platform for Building Machine Learning Pipelines Adapted To Health Professionals)
New Machine Learning Findings from University of Salamanca Described (Koopaml: a Graphical Platform for Building Machine Learning Pipelines Adapted To Health Professionals)
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NETL
NSTL
Univ Int Rioja-Unir
Investigators publish new report on Machine Learning. According to news originating from Salamanca, Spain, by NewsRx correspondents, research stated, “Machine Learning (ML) has extended its use in several domains to support complex analyses of data. The medical field, in which significant quantities of data are continuously generated, is one of the domains that can benefit from the application of ML pipelines to solve specific problems such as diagnosis, classification, disease detection, segmentation, assessment of organ functions, etc.” Financial supporters for this research include Spanish Ministry of Education and Vocational Training under an FPU fellowship, Spanish Government Ministry of Economy and Competitiveness through the DEFINES project, Spanish Government, Institute of Health Carlos III, Spanish Ministry of Economy and Competitiveness - (ERDF/ESF, “Investing in your future”), National Institute of Health Carlos III, Spanish Government, ERDF/ESF Investing in your future and community.
SalamancaSpainEuropeAlgorithmsCyborgsEmerging TechnologiesMachine LearningUniversity of Salamanca
NETL
NSTL
Univ Int Rioja-Unir
