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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: 01 out. 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 out. 01 ] 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 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10
Trabalho de evento-anais periodico
Model performance prediction: a meta-learning approach for concept drift detection (2023)
Melo, Fernanda Amaral ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Ana Carolina ; Garcia, Luís Paulo Faina
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Hybrid Artificial Intelligence Systems - HAIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
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ABNT
MELO, Fernanda Amaral et al. Model performance prediction: a meta-learning approach for concept drift detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-40725-3_5. Acesso em: 01 out. 2024. , 2023
APA
Melo, F. A., Carvalho, A. C. P. de L. F. de, Lorena, A. C., & Garcia, L. P. F. (2023). Model performance prediction: a meta-learning approach for concept drift detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-40725-3_5
NLM
Melo FA, Carvalho ACP de LF de, Lorena AC, Garcia LPF. Model performance prediction: a meta-learning approach for concept drift detection [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 51-62.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_5
Vancouver
Melo FA, Carvalho ACP de LF de, Lorena AC, Garcia LPF. Model performance prediction: a meta-learning approach for concept drift detection [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 51-62.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_5
Trabalho de evento-anais periodico
Analyzing college student dropout risk prediction in real data using walk-forward validation (2023)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ENSINO SUPERIOR, EVASÃO ESCOLAR
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ABNT
SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. Analyzing college student dropout risk prediction in real data using walk-forward validation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_19. Acesso em: 01 out. 2024. , 2023
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2023). Analyzing college student dropout risk prediction in real data using walk-forward validation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_19
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. Analyzing college student dropout risk prediction in real data using walk-forward validation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 291-305.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. Analyzing college student dropout risk prediction in real data using walk-forward validation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 291-305.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Trabalho de evento-anais periodico
A framework for controversial political topics identification using Twitter data (2023)
Sakiyama, Kenzo ; Rodrigues, Lucas de Souza ; Nogueira, Bruno Magalhães ; Matsubara, Edson Takashi ; Romero, Roseli Aparecida Francelin
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, EMOÇÕES, PORTUGUÊS DO BRASIL, MÍDIAS SOCIAIS
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ABNT
SAKIYAMA, Kenzo et al. A framework for controversial political topics identification using Twitter data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45392-2_19. Acesso em: 01 out. 2024. , 2023
APA
Sakiyama, K., Rodrigues, L. de S., Nogueira, B. M., Matsubara, E. T., & Romero, R. A. F. (2023). A framework for controversial political topics identification using Twitter data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45392-2_19
NLM
Sakiyama K, Rodrigues L de S, Nogueira BM, Matsubara ET, Romero RAF. A framework for controversial political topics identification using Twitter data [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 283-298.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
Vancouver
Sakiyama K, Rodrigues L de S, Nogueira BM, Matsubara ET, Romero RAF. A framework for controversial political topics identification using Twitter data [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 283-298.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
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
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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: 01 out. 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 out. 01 ] 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 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_8
Trabalho de evento-anais periodico
Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback (2022)
Vitório, Douglas ; Souza, Ellen Polliana Ramos ; Martins, Lucas ; Silva, Nádia Felix Felipe da ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, EESC E ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL
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ABNT
VITÓRIO, Douglas et al. Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_6. Acesso em: 01 out. 2024. , 2022
APA
Vitório, D., Souza, E. P. R., Martins, L., Silva, N. F. F. da, Carvalho, A. C. P. de L. F. de, & Oliveira, A. L. I. de. (2022). Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_6
NLM
Vitório D, Souza EPR, Martins L, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de. Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 77-91.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_6
Vancouver
Vitório D, Souza EPR, Martins L, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de. Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 77-91.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_6
Trabalho de evento-anais periodico
Content-based lawsuits document image retrieval (2022)
Freire, Daniela Lopes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Feltran, Leonardo Carneiro ; Nagamatsu, Lara Ayumi; Silva, Kelly Cristina Ramos da ; Firmino, Claudemir ; Ferreira, João Eduardo ; Takecian, Pedro Losco ; Carlotti, Danilo Panzeri ; Lima, Francisco Antonio Cavalcanti ; Portela, Roberto Mendes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, IME
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, REDES NEURAIS
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ABNT
FREIRE, Daniela Lopes et al. Content-based lawsuits document image retrieval. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_3. Acesso em: 01 out. 2024. , 2022
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Feltran, L. C., Nagamatsu, L. A., Silva, K. C. R. da, Firmino, C., et al. (2022). Content-based lawsuits document image retrieval. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_3
NLM
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Content-based lawsuits document image retrieval [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 29-40.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
Vancouver
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Content-based lawsuits document image retrieval [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 29-40.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
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: 01 out. 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 out. 01 ] 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 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_62
Trabalho de evento-anais periodico
Geographic context-based stacking learning for election prediction from socio-economic data (2022)
Silva, Tiago Pinho da ; Parmezan, Antonio Rafael Sabino ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPORTAMENTO ELEITORAL
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ABNT
SILVA, Tiago Pinho da e PARMEZAN, Antonio Rafael Sabino e BATISTA, Gustavo Enrique de Almeida Prado Alves. Geographic context-based stacking learning for election prediction from socio-economic data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_44. Acesso em: 01 out. 2024. , 2022
APA
Silva, T. P. da, Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2022). Geographic context-based stacking learning for election prediction from socio-economic data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_44
NLM
Silva TP da, Parmezan ARS, Batista GE de APA. Geographic context-based stacking learning for election prediction from socio-economic data [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 641-657.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Vancouver
Silva TP da, Parmezan ARS, Batista GE de APA. Geographic context-based stacking learning for election prediction from socio-economic data [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 641-657.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Trabalho de evento-anais periodico
Brazilian portuguese speech recognition using Wav2vec 2.0 (2022)
Gris, Lucas Rafael Stefanel ; Casanova, Edresson ; Oliveira, Frederico Santos de ; Soares, Anderson da Silva ; Candido Junior, Arnaldo
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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ABNT
GRIS, Lucas Rafael Stefanel et al. Brazilian portuguese speech recognition using Wav2vec 2.0. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_31. Acesso em: 01 out. 2024. , 2022
APA
Gris, L. R. S., Casanova, E., Oliveira, F. S. de, Soares, A. da S., & Candido Junior, A. (2022). Brazilian portuguese speech recognition using Wav2vec 2.0. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_31
NLM
Gris LRS, Casanova E, Oliveira FS de, Soares A da S, Candido Junior A. Brazilian portuguese speech recognition using Wav2vec 2.0 [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 333-343.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_31
Vancouver
Gris LRS, Casanova E, Oliveira FS de, Soares A da S, Candido Junior A. Brazilian portuguese speech recognition using Wav2vec 2.0 [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 333-343.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_31
Trabalho de evento-anais periodico
Lawsuits document images processing classification (2022)
Freire, Daniela Lopes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Feltran, Leonardo Carneiro ; Nagamatsu, Lara Ayumi; Silva, Kelly Cristina Ramos da ; Firmino, Claudemir ; Ferreira, João Eduardo ; Takecian, Pedro Losco ; Carlotti, Danilo Panzeri ; Lima, Francisco Antonio Cavalcanti ; Portela, Roberto Mendes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM
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ABNT
FREIRE, Daniela Lopes et al. Lawsuits document images processing classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_4. Acesso em: 01 out. 2024. , 2022
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Feltran, L. C., Nagamatsu, L. A., Silva, K. C. R. da, Firmino, C., et al. (2022). Lawsuits document images processing classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_4
NLM
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Lawsuits document images processing classification [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 41-52.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4
Vancouver
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Lawsuits document images processing classification [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 41-52.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4
Trabalho de evento-anais periodico
Evaluating clustering meta-features for classifier recommendation (2021)
Garcia, Luís Paulo Faina ; Campelo, Felipe ; Ramos, Guilherme N ; Rivolli, Adriano ; 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: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, RECONHECIMENTO DE PADRÕES
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ABNT
GARCIA, Luís Paulo Faina et al. Evaluating clustering meta-features for classifier recommendation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_30. Acesso em: 01 out. 2024. , 2021
APA
Garcia, L. P. F., Campelo, F., Ramos, G. N., Rivolli, A., & Carvalho, A. C. P. de L. F. de. (2021). Evaluating clustering meta-features for classifier recommendation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91702-9_30
NLM
Garcia LPF, Campelo F, Ramos GN, Rivolli A, Carvalho ACP de LF de. Evaluating clustering meta-features for classifier recommendation [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13073 453-467.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_30
Vancouver
Garcia LPF, Campelo F, Ramos GN, Rivolli A, Carvalho ACP de LF de. Evaluating clustering meta-features for classifier recommendation [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13073 453-467.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_30
Trabalho de evento-anais periodico
Evaluating semantic similarity methods to build semantic predictability norms of reading data (2021)
Leal, Sidney Evaldo ; Casanova, Edresson ; Paetzold, Gustavo Henrique ; Aluísio, Sandra Maria
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Text, Speech, and Dialogue - TSD. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA DE CORPUS, SEMÂNTICA, PORTUGUÊS DO BRASIL
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ABNT
LEAL, Sidney Evaldo et al. Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-83527-9_3. Acesso em: 01 out. 2024. , 2021
APA
Leal, S. E., Casanova, E., Paetzold, G. H., & Aluísio, S. M. (2021). Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-83527-9_3
NLM
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
Vancouver
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
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
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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: 01 out. 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 out. 01 ] 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 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8
Trabalho de evento-anais periodico
Speech2Phone: a novel and efficient method for training speaker recognition models (2021)
Casanova, Edresson ; Candido Junior, Arnaldo ; Shulby, Christopher Dane ; Oliveira, Frederico Santos de ; Gris, Lucas Rafael Stefanel ; Silva, Hamilton Pereira da ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE VOZ, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. Speech2Phone: a novel and efficient method for training speaker recognition models. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_39. Acesso em: 01 out. 2024. , 2021
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Gris, L. R. S., Silva, H. P. da, et al. (2021). Speech2Phone: a novel and efficient method for training speaker recognition models. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_39
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Gris LRS, Silva HP da, Aluísio SM, Ponti MA. Speech2Phone: a novel and efficient method for training speaker recognition models [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 572-585.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Gris LRS, Silva HP da, Aluísio SM, Ponti MA. Speech2Phone: a novel and efficient method for training speaker recognition models [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 572-585.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39
Trabalho de evento-anais periodico
A fuzzy approach for classification and novelty detection in data streams under intermediate latency (2020)
Cristiani, André Luis ; Silva, Tiago Pinho da ; Camargo, Heloisa de Arruda
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FUZZY (INTELIGÊNCIA ARTIFICIAL), RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CRISTIANI, André Luis e SILVA, Tiago Pinho da e CAMARGO, Heloisa de Arruda. A fuzzy approach for classification and novelty detection in data streams under intermediate latency. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_12. Acesso em: 01 out. 2024. , 2020
APA
Cristiani, A. L., Silva, T. P. da, & Camargo, H. de A. (2020). A fuzzy approach for classification and novelty detection in data streams under intermediate latency. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_12
NLM
Cristiani AL, Silva TP da, Camargo H de A. A fuzzy approach for classification and novelty detection in data streams under intermediate latency [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 171-186.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12
Vancouver
Cristiani AL, Silva TP da, Camargo H de A. A fuzzy approach for classification and novelty detection in data streams under intermediate latency [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 171-186.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12
Trabalho de evento-anais periodico
Identifying fine-grained opinion and classifying polarity on coronavirus pandemic (2020)
Vargas, Francielle Alves ; Santos, Rodolfo Sanches Saraiva dos; Rocha, Pedro Regattieri
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS, PORTUGUÊS DO BRASIL, SURTOS DE DOENÇAS, CORONAVIRUS
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ABNT
VARGAS, Francielle Alves e SANTOS, Rodolfo Sanches Saraiva dos e ROCHA, Pedro Regattieri. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61377-8_35. Acesso em: 01 out. 2024. , 2020
APA
Vargas, F. A., Santos, R. S. S. dos, & Rocha, P. R. (2020). Identifying fine-grained opinion and classifying polarity on coronavirus pandemic. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61377-8_35
NLM
Vargas FA, Santos RSS dos, Rocha PR. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12319 511-520.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35
Vancouver
Vargas FA, Santos RSS dos, Rocha PR. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12319 511-520.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35
Trabalho de evento-anais periodico
An improved local search genetic algorithm with multi-crossover for job shop scheduling problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61401-0_43. Acesso em: 01 out. 2024. , 2020
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). An improved local search genetic algorithm with multi-crossover for job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61401-0_43
NLM
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12415 464-479.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61401-0_43
Vancouver
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12415 464-479.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61401-0_43
Trabalho de evento-anais periodico
Data streams are time series: challenging assumptions (2020)
Read, Jesse ; Rios, Ricardo A ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
READ, Jesse et al. Data streams are time series: challenging assumptions. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_36. Acesso em: 01 out. 2024. , 2020
APA
Read, J., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2020). Data streams are time series: challenging assumptions. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_36
NLM
Read J, Rios RA, Nogueira T, Mello RF de. Data streams are time series: challenging assumptions [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 529-543.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_36
Vancouver
Read J, Rios RA, Nogueira T, Mello RF de. Data streams are time series: challenging assumptions [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 529-543.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_36
Trabalho de evento-anais periodico
Ensemble clustering for novelty detection in data streams (2019)
Garcia, Kemilly Dearo ; Faria, Elaine Ribeiro de; Sá, Cláudio Rebelo de ; Mendes-Moreira, João ; Aggarwal, Charu C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Kok, Joost N
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Discovery Science - DS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-33778-0_34. Acesso em: 01 out. 2024. , 2019
APA
Garcia, K. D., Faria, E. R. de, Sá, C. R. de, Mendes-Moreira, J., Aggarwal, C. C., Carvalho, A. C. P. de L. F. de, & Kok, J. N. (2019). Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-33778-0_34
NLM
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
Vancouver
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2024 out. 01 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34

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