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oai:gredos.usal.es:10366/1538252025-12-12T08:45:22Zcom_10366_4549com_10366_4512com_10366_3823col_10366_4550

Vázquez Ingelmo, Andrea García-Holgado, Alicia García-Peñalvo, Francisco J. Fraile-Sanchón, Rubén Andrés-Fraile, Esther Pérez-Sánchez, Pablo Antúnez-Muiños, Pablo Sánchez-Puente, Antonio Vicente-Palacios, Víctor Dorado-Díaz, Pedro Ignacio Cruz González, Ignacio Sánchez Fernández, Pedro Luis 2023-12-05T19:11:10Z 2023-12-05T19:11:10Z 2023 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 2196-4963 http://hdl.handle.net/10366/153825 10.1007/978-981-99-0942-1_21 2196-4971 eng http://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess Atribución-NoComercial-CompartirIgual 4.0 Internacional Machine Learning Human-Computer Interaction Health Artificial Intelligence Medical data management Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain info:eu-repo/semantics/article