BIBLIOS

  Sistema de Gestão de Referências Bibliográficas de Ciências

Modo Visitante (Login)
Need help?


Voltar

Detalhes Referência

Tipo
Artigos em Conferência

Tipo de Documento
Artigo Completo

Título
A pipeline for AI-based quantitative studies of science enhanced by crowdsourced inferential modelling

Participantes na publicação
Correia A. (Author)
T. Kärkkäinen (Author)
S. Jameel (Author)
D. Schneider (Author)
Pedro Antunes (Author)
Dep. Informática
LASIGE
B. Fonseca (Author)
A. Grover (Author)

Data de Publicação
2023

Evento
23th International Conference on Hybrid Intelligent Systems

Identificadores da Publicação

Download

Exportar referência

APA
Correia A., T. Kärkkäinen, S. Jameel, D. Schneider, Pedro Antunes, B. Fonseca, A. Grover, (2023). A pipeline for AI-based quantitative studies of science enhanced by crowdsourced inferential modelling. 23th International Conference on Hybrid Intelligent Systems, -

IEEE
Correia A., T. Kärkkäinen, S. Jameel, D. Schneider, Pedro Antunes, B. Fonseca, A. Grover, "A pipeline for AI-based quantitative studies of science enhanced by crowdsourced inferential modelling" in 23th International Conference on Hybrid Intelligent Systems, , 2023, pp. -, doi:

BIBTEX
@InProceedings{59615, author = {Correia A. and T. Kärkkäinen and S. Jameel and D. Schneider and Pedro Antunes and B. Fonseca and A. Grover}, title = {A pipeline for AI-based quantitative studies of science enhanced by crowdsourced inferential modelling}, booktitle = {23th International Conference on Hybrid Intelligent Systems}, year = 2023, pages = {-}, address = {}, publisher = {} }