Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network (2020)
- Authors:
- USP affiliated authors: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; LIANG, ZHAO - FFCLRP ; COLLIRI, TIAGO SANTOS - ICMC
- Unidades: ICMC; FFCLRP
- DOI: 10.1007/978-3-030-61380-8_27
- Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; COVID-19; REDES COMPLEXAS; APRENDIZADO COMPUTACIONAL
- Keywords: Time series prediction; Temporal networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 12320, p. 397-411, 2020
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COLLIRI, Tiago Santos e DELBEM, Alexandre Cláudio Botazzo e LIANG, Zhao. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_27. Acesso em: 01 mar. 2026. , 2020 -
APA
Colliri, T. S., Delbem, A. C. B., & Liang, Z. (2020). Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_27 -
NLM
Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27 -
Vancouver
Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27 - A network-based model for optimizing returns in the stock market
- An optimized modularity-based high level classification model
- Predicting corruption convictions among brazilian representatives through a voting-history based network
- Stock market trend detection and automatic decision-making through a network-based classification model
- A network-based high level data classification technique
- Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks
- Design of associative memories using cellular neural networks
- Associative memories using celular neural networks
- Análise comparativa de desempenho de memórias assoaciativas em redes neurais celulares
- Avaliação de preços de ações: proposta de um índice baseado nos preços históricos ponderados pelo volume, por meio do uso de modelagem computacional
Informações sobre o DOI: 10.1007/978-3-030-61380-8_27 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3008293.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
