Privacy-preserving heterogeneous network embedding for clinical events (2021)
Fonte: Proceedings. Nome do evento: Conference on Machine Learning and Systems - MLSys. Unidade: ICMC
Assuntos: REDES DE INFORMAÇÃO, APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO HOSPITALAR
ABNT
OLIVEIRA, Gustavo Lima de e MARCACINI, Ricardo Marcondes e PIMENTEL, Maria da Graça Campos. Privacy-preserving heterogeneous network embedding for clinical events. 2021, Anais.. Indio: Systems and Machine Learning Foundation, 2021. Disponível em: https://gnnsys.github.io/papers/GNNSys21_paper_19.pdf. Acesso em: 23 nov. 2025.APA
Oliveira, G. L. de, Marcacini, R. M., & Pimentel, M. da G. C. (2021). Privacy-preserving heterogeneous network embedding for clinical events. In Proceedings. Indio: Systems and Machine Learning Foundation. Recuperado de https://gnnsys.github.io/papers/GNNSys21_paper_19.pdfNLM
Oliveira GL de, Marcacini RM, Pimentel M da GC. Privacy-preserving heterogeneous network embedding for clinical events [Internet]. Proceedings. 2021 ;[citado 2025 nov. 23 ] Available from: https://gnnsys.github.io/papers/GNNSys21_paper_19.pdfVancouver
Oliveira GL de, Marcacini RM, Pimentel M da GC. Privacy-preserving heterogeneous network embedding for clinical events [Internet]. Proceedings. 2021 ;[citado 2025 nov. 23 ] Available from: https://gnnsys.github.io/papers/GNNSys21_paper_19.pdf









