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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
Source: Proceedings. Conference titles: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC
Subjects: 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: 10 out. 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 out. 10 ] 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 out. 10 ] 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
Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Subjects: 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: 10 out. 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 out. 10 ] 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 out. 10 ] 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
Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Subjects: 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: 10 out. 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 out. 10 ] 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 out. 10 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Artigo de periodico
On novelty detection for multi-class classification using non-linear metric learning (2021)
Silva, Samuel Rocha; Vieira, Thales ; Martínez, Dimas ; Paiva, Afonso
Source: Expert Systems With Applications. Unidade: ICMC
Subjects: ALGORITMOS, APRENDIZAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Samuel Rocha et al. On novelty detection for multi-class classification using non-linear metric learning. Expert Systems With Applications, v. 167, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.114193. Acesso em: 10 out. 2024.
APA
Silva, S. R., Vieira, T., Martínez, D., & Paiva, A. (2021). On novelty detection for multi-class classification using non-linear metric learning. Expert Systems With Applications, 167, 1-12. doi:10.1016/j.eswa.2020.114193
NLM
Silva SR, Vieira T, Martínez D, Paiva A. On novelty detection for multi-class classification using non-linear metric learning [Internet]. Expert Systems With Applications. 2021 ; 167 1-12.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.eswa.2020.114193
Vancouver
Silva SR, Vieira T, Martínez D, Paiva A. On novelty detection for multi-class classification using non-linear metric learning [Internet]. Expert Systems With Applications. 2021 ; 167 1-12.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.eswa.2020.114193

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