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Trabalho de evento-anais periodico
How people in South America is facing Monkeypox outbreak? (2023)
Saire, Josimar Edinson Chire ; Pineda-Briseño, Anabel ; Oblitas, Jimy Frank
Fonte: Communications in Computer and Information Science. Nome do evento: International Conference on Applied Machine Learning and Data Analytics - AMLDA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS, EMOÇÕES, VÍRUS MONKEYPOX, AMÉRICA DO SUL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAIRE, Josimar Edinson Chire e PINEDA-BRISEÑO, Anabel e OBLITAS, Jimy Frank. How people in South America is facing Monkeypox outbreak?. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-34222-6_16. Acesso em: 07 nov. 2025. , 2023
APA
Saire, J. E. C., Pineda-Briseño, A., & Oblitas, J. F. (2023). How people in South America is facing Monkeypox outbreak? Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-34222-6_16
NLM
Saire JEC, Pineda-Briseño A, Oblitas JF. How people in South America is facing Monkeypox outbreak? [Internet]. Communications in Computer and Information Science. 2023 ; 1818 191-201.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-34222-6_16
Vancouver
Saire JEC, Pineda-Briseño A, Oblitas JF. How people in South America is facing Monkeypox outbreak? [Internet]. Communications in Computer and Information Science. 2023 ; 1818 191-201.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-34222-6_16
Trabalho de evento-anais periodico
Gradient boosting machine and LSTM network for online harassment detection and categorization in social media (2020)
Pereira, Fabíola Souza Fernandes; Andrade, Thiago; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Communications in Computer and Information Science. Nome do evento: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS, ASSÉDIO SEXUAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Fabíola Souza Fernandes e ANDRADE, Thiago e CARVALHO, André Carlos Ponce de Leon Ferreira de. Gradient boosting machine and LSTM network for online harassment detection and categorization in social media. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-43887-6_25. Acesso em: 07 nov. 2025. , 2020
APA
Pereira, F. S. F., Andrade, T., & Carvalho, A. C. P. de L. F. de. (2020). Gradient boosting machine and LSTM network for online harassment detection and categorization in social media. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-43887-6_25
NLM
Pereira FSF, Andrade T, Carvalho ACP de LF de. Gradient boosting machine and LSTM network for online harassment detection and categorization in social media [Internet]. Communications in Computer and Information Science. 2020 ; 1168 314–320.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-43887-6_25
Vancouver
Pereira FSF, Andrade T, Carvalho ACP de LF de. Gradient boosting machine and LSTM network for online harassment detection and categorization in social media [Internet]. Communications in Computer and Information Science. 2020 ; 1168 314–320.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-43887-6_25
Trabalho de evento-anais periodico
Public riots in Twitter: domain-based event filtering during civil unrest (2020)
Oncevay, Arturo; Cabezudo, Marco Antonio Sobrevilla ; Alatrista-Salas, Hugo ; Melgar, Andrés
Fonte: Communications in Computer and Information Science. Nome do evento: East-European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ONCEVAY, Arturo et al. Public riots in Twitter: domain-based event filtering during civil unrest. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-55814-7_4. Acesso em: 07 nov. 2025. , 2020
APA
Oncevay, A., Cabezudo, M. A. S., Alatrista-Salas, H., & Melgar, A. (2020). Public riots in Twitter: domain-based event filtering during civil unrest. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-55814-7_4
NLM
Oncevay A, Cabezudo MAS, Alatrista-Salas H, Melgar A. Public riots in Twitter: domain-based event filtering during civil unrest [Internet]. Communications in Computer and Information Science. 2020 ; 1260 49-59.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_4
Vancouver
Oncevay A, Cabezudo MAS, Alatrista-Salas H, Melgar A. Public riots in Twitter: domain-based event filtering during civil unrest [Internet]. Communications in Computer and Information Science. 2020 ; 1260 49-59.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_4
Trabalho de evento
Building dengue sensors for Brazil using a social network and text mining (2019)
Saire, Josimar Edinson Chire
Fonte: Communications in Computer and Information Science. Nome do evento: IEEE Colombian Conference on Applications in Computational Intelligence - ColCACI. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, MÍDIAS SOCIAIS, DENGUE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAIRE, Josimar Edinson Chire. Building dengue sensors for Brazil using a social network and text mining. 2019, Anais.. Cham: Springer, 2019. p. 69-77. Disponível em: https://doi.org/10.1007/978-3-030-36211-9_6. Acesso em: 07 nov. 2025.
APA
Saire, J. E. C. (2019). Building dengue sensors for Brazil using a social network and text mining. In Communications in Computer and Information Science (Vol. 1096, p. 69-77). Cham: Springer. doi:10.1007/978-3-030-36211-9_6
NLM
Saire JEC. Building dengue sensors for Brazil using a social network and text mining [Internet]. Communications in Computer and Information Science. 2019 ; 1096 69-77.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-36211-9_6
Vancouver
Saire JEC. Building dengue sensors for Brazil using a social network and text mining [Internet]. Communications in Computer and Information Science. 2019 ; 1096 69-77.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-36211-9_6

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