Privacy-preserving heterogeneous network embedding for clinical events (2021)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; PIMENTEL, MARIA DA GRAÇA CAMPOS - ICMC ; OLIVEIRA, GUSTAVO LIMA DE - ICMC
- Unidade: ICMC
- Subjects: REDES DE INFORMAÇÃO; APRENDIZADO COMPUTACIONAL; SISTEMAS DE INFORMAÇÃO HOSPITALAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Systems and Machine Learning Foundation
- Publisher place: Indio
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: Conference on Machine Learning and Systems - MLSys
-
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: 29 dez. 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.pdf -
NLM
Oliveira GL de, Marcacini RM, Pimentel M da GC. Privacy-preserving heterogeneous network embedding for clinical events [Internet]. Proceedings. 2021 ;[citado 2025 dez. 29 ] Available from: https://gnnsys.github.io/papers/GNNSys21_paper_19.pdf -
Vancouver
Oliveira GL de, Marcacini RM, Pimentel M da GC. Privacy-preserving heterogeneous network embedding for clinical events [Internet]. Proceedings. 2021 ;[citado 2025 dez. 29 ] Available from: https://gnnsys.github.io/papers/GNNSys21_paper_19.pdf - Privacy-preserving k-NN graphs with autoencoder-based representations for sensitive features
- A Novel Privacy-Preserving Method for Graphs with Autoencoder Representations
- Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos
- Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution
- Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
- Named Entity Recognition approaches applied to legal document segmentation
- Issue detection and prioritization based on mobile application reviews
- Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents
- Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates
- MApp-IDEA: monitoring app for issue detection and prioritization
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3028809.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
