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"Improving the compromise between accuracy, interpretability and ..."

Francisco Valente et al. (2021)

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DOI: 10.1109/EMBC46164.2021.9630184

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

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  - conf/embc/ValenteHPRCM21
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Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais:
Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems. EMBC 2021: 2132-2135

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