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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: 23 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. 23 ] 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. 23 ] 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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_4
Trabalho de evento-anais periodico
Local interpretation methods to machine learning using the domain of the feature space (2020)
Botari, Tiago ; Izbicki, Rafael ; 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: APRENDIZADO COMPUTACIONAL, COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOTARI, Tiago e IZBICKI, Rafael e CARVALHO, André Carlos Ponce de Leon Ferreira de. Local interpretation methods to machine learning using the domain of the feature space. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-43823-4_21. Acesso em: 23 nov. 2025. , 2020
APA
Botari, T., Izbicki, R., & Carvalho, A. C. P. de L. F. de. (2020). Local interpretation methods to machine learning using the domain of the feature space. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-43823-4_21
NLM
Botari T, Izbicki R, Carvalho ACP de LF de. Local interpretation methods to machine learning using the domain of the feature space [Internet]. Communications in Computer and Information Science. 2020 ; 1167 241-252.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-030-43823-4_21
Vancouver
Botari T, Izbicki R, Carvalho ACP de LF de. Local interpretation methods to machine learning using the domain of the feature space [Internet]. Communications in Computer and Information Science. 2020 ; 1167 241-252.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-030-43823-4_21
Trabalho de evento-anais periodico
Healthcare decision-making over a geographic, socioeconomic, and image data warehouse (2020)
Rocha, Guilherme Muzzi da; Capelo, Piero Lima; Ciferri, Cristina Dutra de Aguiar
Fonte: Communications in Computer and Information Science. Nome do evento: East-European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Assuntos: BANCO DE DADOS, TECNOLOGIAS DA SAÚDE, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Guilherme Muzzi da e CAPELO, Piero Lima e CIFERRI, Cristina Dutra de Aguiar. Healthcare decision-making over a geographic, socioeconomic, and image data warehouse. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-55814-7_7. Acesso em: 23 nov. 2025. , 2020
APA
Rocha, G. M. da, Capelo, P. L., & Ciferri, C. D. de A. (2020). Healthcare decision-making over a geographic, socioeconomic, and image data warehouse. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-55814-7_7
NLM
Rocha GM da, Capelo PL, Ciferri CD de A. Healthcare decision-making over a geographic, socioeconomic, and image data warehouse [Internet]. Communications in Computer and Information Science. 2020 ; 1260 85-97.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_7
Vancouver
Rocha GM da, Capelo PL, Ciferri CD de A. Healthcare decision-making over a geographic, socioeconomic, and image data warehouse [Internet]. Communications in Computer and Information Science. 2020 ; 1260 85-97.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_7

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