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On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork (2023)
Alves, Matheus Aparecido do Carmo ; Yourdshahi, Elnaz Shafpour; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen
Fonte: Proceedings. Nome do evento: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC
Assuntos: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Matheus Aparecido do Carmo et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. 2023, Anais.. New York: ACM, 2023. Disponível em: https://dl.acm.org/doi/10.5555/3545946.3598629. Acesso em: 06 nov. 2024.
APA
Alves, M. A. do C., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2023). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. In Proceedings. New York: ACM. doi:10.5555/3545946.3598629
NLM
Alves MA do C, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2024 nov. 06 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
Vancouver
Alves MA do C, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2024 nov. 06 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
Artigo de periodico
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork (2022)
Yourdshahi, Elnaz Shafpour; Alves, Matheus Aparecido do Carmo ; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen
Fonte: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Assuntos: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOURDSHAHI, Elnaz Shafpour et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 06 nov. 2024.
APA
Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
NLM
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Vancouver
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Artigo de periodico
On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork (2022)
Yourdshahi, Elnaz Shafipour; Alves, Matheus Aparecido do Carmo ; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen
Fonte: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Assuntos: ALGORITMOS, APRENDIZAGEM, TRABALHO EM GRUPO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOURDSHAHI, Elnaz Shafipour et al. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 06 nov. 2024.
APA
Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
NLM
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Vancouver
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Artigo de periodico
Effective and unburdensome forecast of highway traffic flow with adaptive computing (2021)
Alves, Matheus Aparecido do Carmo; Cordeiro, Robson Leonardo Ferreira
Fonte: Knowledge-Based Systems. Unidade: ICMC
Assuntos: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), COMPUTAÇÃO RECONFIGURÁVEL, TRÁFEGO RODOVIÁRIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Matheus Aparecido do Carmo e CORDEIRO, Robson Leonardo Ferreira. Effective and unburdensome forecast of highway traffic flow with adaptive computing. Knowledge-Based Systems, v. 212, n. Ja 2021, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2020.106603. Acesso em: 06 nov. 2024.
APA
Alves, M. A. do C., & Cordeiro, R. L. F. (2021). Effective and unburdensome forecast of highway traffic flow with adaptive computing. Knowledge-Based Systems, 212( Ja 2021), 1-13. doi:10.1016/j.knosys.2020.106603
NLM
Alves MA do C, Cordeiro RLF. Effective and unburdensome forecast of highway traffic flow with adaptive computing [Internet]. Knowledge-Based Systems. 2021 ; 212( Ja 2021): 1-13.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.knosys.2020.106603
Vancouver
Alves MA do C, Cordeiro RLF. Effective and unburdensome forecast of highway traffic flow with adaptive computing [Internet]. Knowledge-Based Systems. 2021 ; 212( Ja 2021): 1-13.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.knosys.2020.106603

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