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dc.contributor.author | Vázquez-Ingelmo, Andrea | |
dc.contributor.author | García-Holgado, Alicia | |
dc.contributor.author | García-Peñalvo, Francisco J. | |
dc.contributor.author | Fraile-Sanchón, Rubén | |
dc.contributor.author | Andrés-Fraile, Esther | |
dc.contributor.author | Pérez-Sánchez, Pablo | |
dc.contributor.author | Antúnez-Muiños, Pablo | |
dc.contributor.author | Sánchez-Puente, Antonio | |
dc.contributor.author | Vicente-Palacios, Víctor | |
dc.contributor.author | Dorado-Díaz, Pedro Ignacio | |
dc.contributor.author | Cruz-González, Ignacio | |
dc.contributor.author | Sánchez, Pedro Luis | |
dc.date.accessioned | 2023-12-05T19:11:10Z | |
dc.date.available | 2023-12-05T19:11:10Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Vázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., Fraile-Sanchón, R., Andrés-Fraile, E., Pérez-Sánchez, P., Antúnez-Muiños, P., Sánchez-Puente, A., Vicente-Palacios, V., Dorado-Díaz, P. I., Cruz-González, I., & Sánchez, P. L. (2023). Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain. In F. J. García-Peñalvo & A. García-Holgado (Eds.), Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality. Salamanca, Spain, October 19–21, 2022 (pp. 210-217). Springer Nature. https:// doi.org/10.1007/978-981-99-0942-1_21 | es_ES |
dc.identifier.issn | 2196-4963 | |
dc.identifier.uri | http://hdl.handle.net/10366/153825 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | es_ES |
dc.rights | Atribución-NoComercial-CompartirIgual 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | Machine Learning | es_ES |
dc.subject | Human-Computer Interaction | es_ES |
dc.subject | Health | es_ES |
dc.subject | Artificial Intelligence | es_ES |
dc.subject | Medical data management | es_ES |
dc.title | Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.subject.unesco | 1203.04 Inteligencia Artificial | es_ES |
dc.subject.unesco | 1203.17 Informática | es_ES |
dc.subject.unesco | 3212 Salud Publica | es_ES |
dc.identifier.doi | 10.1007/978-981-99-0942-1_21 | |
dc.relation.projectID | PID2020-118345RB-I00 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 2196-4971 | |
dc.page.initial | 210 | es_ES |
dc.page.final | 217 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es_ES |
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