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Trabalho de evento-anais periodico
Exploratory study of data sampling methods for imbalanced legal text classification (2023)
Freire, Daniela Lopes ; Almeida, Alex Marino de ; Dias, Márcio de Souza ; Rivolli, Adriano ; Pereira, Fabíola Souza Fernandes ; Godoi, Giliard Almeida de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Hybrid Artificial Intelligence Systems - HAIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, TRIBUNAL DE JUSTIÇA
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ABNT
FREIRE, Daniela Lopes et al. Exploratory study of data sampling methods for imbalanced legal text classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-40725-3_10. Acesso em: 16 nov. 2024. , 2023
APA
Freire, D. L., Almeida, A. M. de, Dias, M. de S., Rivolli, A., Pereira, F. S. F., Godoi, G. A. de, & Carvalho, A. C. P. de L. F. de. (2023). Exploratory study of data sampling methods for imbalanced legal text classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-40725-3_10
NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Exploratory study of data sampling methods for imbalanced legal text classification [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 108-120.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10
Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Exploratory study of data sampling methods for imbalanced legal text classification [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 108-120.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10
Trabalho de evento-anais periodico
UlyssesSD-Br: stance detection in brazilian political polls (2022)
Maia, Dyonnatan Ferreira ; Silva, Nádia Felix Felipe da ; Souza, Ellen Polliana Ramos ; Nunes, Augusto Sousa ; Procópio, Lucas Caetano; Sampaio, Guthemberg da S; Dias, Márcio de Souza ; Alves, Adrio Oliveira; Maia, Dyéssica F; Ribeiro, Ingrid Alves ; Pereira, Fabíola Souza Fernandes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAIA, Dyonnatan Ferreira et al. UlyssesSD-Br: stance detection in brazilian political polls. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_8. Acesso em: 16 nov. 2024. , 2022
APA
Maia, D. F., Silva, N. F. F. da, Souza, E. P. R., Nunes, A. S., Procópio, L. C., Sampaio, G. da S., et al. (2022). UlyssesSD-Br: stance detection in brazilian political polls. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_8
NLM
Maia DF, Silva NFF da, Souza EPR, Nunes AS, Procópio LC, Sampaio G da S, Dias M de S, Alves AO, Maia DF, Ribeiro IA, Pereira FSF, Carvalho ACP de LF de. UlyssesSD-Br: stance detection in brazilian political polls [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 85-95.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_8
Vancouver
Maia DF, Silva NFF da, Souza EPR, Nunes AS, Procópio LC, Sampaio G da S, Dias M de S, Alves AO, Maia DF, Ribeiro IA, Pereira FSF, Carvalho ACP de LF de. UlyssesSD-Br: stance detection in brazilian political polls [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 85-95.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_8
Trabalho de evento-anais periodico
Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text (2022)
Costa, Rosimeire ; Albuquerque, Hidelberg Oliveira ; Silvestre, Gabriel Dalforno ; Silva, Nádia Felix Felipe da ; Souza, Ellen Polliana Ramos ; Vitório, Douglas ; Nunes, Augusto Sousa ; Siqueira, Felipe Alves ; Tarrega, João Pedro Mantovani ; Beinotti, João Vitor Pataca ; Dias, Márcio de Souza ; Pereira, Fabíola Souza Fernandes ; Silva, Matheus; Gardini, Miguel ; Silva, Vinicius Adolfo Pereira da ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, EESC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
COSTA, Rosimeire et al. Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_62. Acesso em: 16 nov. 2024. , 2022
APA
Costa, R., Albuquerque, H. O., Silvestre, G. D., Silva, N. F. F. da, Souza, E. P. R., Vitório, D., et al. (2022). Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_62
NLM
Costa R, Albuquerque HO, Silvestre GD, Silva NFF da, Souza EPR, Vitório D, Nunes AS, Siqueira FA, Tarrega JPM, Beinotti JVP, Dias M de S, Pereira FSF, Silva M, Gardini M, Silva VAP da, Carvalho ACP de LF de, Oliveira ALI de. Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 767-779.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_62
Vancouver
Costa R, Albuquerque HO, Silvestre GD, Silva NFF da, Souza EPR, Vitório D, Nunes AS, Siqueira FA, Tarrega JPM, Beinotti JVP, Dias M de S, Pereira FSF, Silva M, Gardini M, Silva VAP da, Carvalho ACP de LF de, Oliveira ALI de. Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 767-779.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_62
Trabalho de evento-anais periodico
Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies (2021)
Silva, Nádia Felix Felipe da; Silva, Marília Costa Rosendo ; Pereira, Fabíola Souza Fernandes; Tarrega, João Pedro Mantovani; Beinotti, João Vitor Pataca ; Fonseca, Márcio; Andrade, Francisco Edmundo; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, LINGUÍSTICA DE CORPUS, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL, PARTICIPAÇÃO POLÍTICA, LEGISLAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Nádia Felix Felipe da et al. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_8. Acesso em: 16 nov. 2024. , 2021
APA
Silva, N. F. F. da, Silva, M. C. R., Pereira, F. S. F., Tarrega, J. P. M., Beinotti, J. V. P., Fonseca, M., et al. (2021). Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_8
NLM
Silva NFF da, Silva MCR, Pereira FSF, Tarrega JPM, Beinotti JVP, Fonseca M, Andrade FE, Carvalho ACP de LF de. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 104–120.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8
Vancouver
Silva NFF da, Silva MCR, Pereira FSF, Tarrega JPM, Beinotti JVP, Fonseca M, Andrade FE, Carvalho ACP de LF de. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 104–120.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8
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
Source: Communications in Computer and Information Science. Conference titles: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Subjects: 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: 16 nov. 2024. , 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 2024 nov. 16 ] 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 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-43887-6_25
Trabalho de evento-anais periodico
Feature-based time series classification for service request opening prediction in the telecom industry (2019)
Pereira, Fabíola Souza Fernandes; Carvalho, André Carlos Ponce de Leon Ferreira de ; Assis, Rafael; Costa, Maxley; Faria, Elaine R ; Julia, Rita Maria Silva; Barcelos, Umberto; Melo, Jony
Source: Lecture Notes in Artificial Intelligence. Conference titles: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TELECOMUNICAÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Fabíola Souza Fernandes et al. Feature-based time series classification for service request opening prediction in the telecom industry. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_11. Acesso em: 16 nov. 2024. , 2019
APA
Pereira, F. S. F., Carvalho, A. C. P. de L. F. de, Assis, R., Costa, M., Faria, E. R., Julia, R. M. S., et al. (2019). Feature-based time series classification for service request opening prediction in the telecom industry. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_11
NLM
Pereira FSF, Carvalho ACP de LF de, Assis R, Costa M, Faria ER, Julia RMS, Barcelos U, Melo J. Feature-based time series classification for service request opening prediction in the telecom industry [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 120-132.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11
Vancouver
Pereira FSF, Carvalho ACP de LF de, Assis R, Costa M, Faria ER, Julia RMS, Barcelos U, Melo J. Feature-based time series classification for service request opening prediction in the telecom industry [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 120-132.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11

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