Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning (2022)
- Authors:
- Autor USP: FERREIRA, JOÃO EDUARDO - IME
- Unidade: IME
- DOI: 10.1109/CogMI56440.2022.00021
- Subjects: VISÃO COMPUTACIONAL; ENGENHARIA DE CONHECIMENTO; RECONHECIMENTO DE OBJETOS; VEÍCULOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2022
- Source:
- Título: Proceedings
- Conference titles: International Conference on Cognitive Machine Intelligence - CogMI
- Este periódico é de acesso aberto
- Este artigo NÃO possui versão em acesso aberto
-
ABNT
SUPREM, Abhijit et al. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/CogMI56440.2022.00021. Acesso em: 05 mar. 2026. -
APA
Suprem, A., Vaidya, S., Cherkadi, S., Singh, P., Ferreira, J. E., & Pu, C. (2022). Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning. In Proceedings. Piscataway: IEEE. doi:10.1109/CogMI56440.2022.00021 -
NLM
Suprem A, Vaidya S, Cherkadi S, Singh P, Ferreira JE, Pu C. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning [Internet]. Proceedings. 2022 ;[citado 2026 mar. 05 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021 -
Vancouver
Suprem A, Vaidya S, Cherkadi S, Singh P, Ferreira JE, Pu C. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning [Internet]. Proceedings. 2022 ;[citado 2026 mar. 05 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021 - Data analysis workflow for experiments in sugarcane precision agriculture
- Using visual-interactive properties to support data quality visual assessment on abstract and timeless data
- Data quality assessment of very large database through visualization system
- Projeto e modelagem de bancos de dados
- Services 2020: 16th World Congress, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings
- Abordagem transacional para padrões de controle de fluxo de processos científicos e de negócios
- Reducing exception handling complexity in business process modeling and implementation: the WED-Flow approach
- International Conference on Distributed Computing Systems Workshops, 37: proceedings
- Um padrão canônico para controle de paralelização em aplicações de e-Science
- A partial persistent data structure to support consistency in real-time collaborative editing
Informações sobre o DOI: 10.1109/CogMI56440.2022.00021 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3132234.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
