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Trabalho de evento-anais periodico
Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies (2025)
Souza, João Paulo Costa e; Meneguette, Rodolfo Ipolito ; Gonçalves, Vinicius Pereira ; Mendonça, Fabio Lucio Lopes de ; Silva, Francisco Airton ; Rocha Filho, Geraldo Pereira
Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, INTELIGÊNCIA ARTIFICIAL, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), DINHEIRO ELETRÔNICO
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SOUZA, João Paulo Costa e et al. Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies. Lecture Notes in Artificial Intelligence - LNAI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_20. Acesso em: 09 jul. 2025. , 2025
APA
Souza, J. P. C. e, Meneguette, R. I., Gonçalves, V. P., Mendonça, F. L. L. de, Silva, F. A., & Rocha Filho, G. P. (2025). Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies. Lecture Notes in Artificial Intelligence - LNAI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-79032-4_20
NLM
Souza JPC e, Meneguette RI, Gonçalves VP, Mendonça FLL de, Silva FA, Rocha Filho GP. Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2025 ; 15413 281-295.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_20
Vancouver
Souza JPC e, Meneguette RI, Gonçalves VP, Mendonça FLL de, Silva FA, Rocha Filho GP. Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2025 ; 15413 281-295.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_20
Trabalho de evento-anais periodico
Growing self-organizing maps for multi-label classification (2025)
Casarotto, Pedro Henrique; Cerri, Ricardo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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CASAROTTO, Pedro Henrique e CERRI, Ricardo. Growing self-organizing maps for multi-label classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_3. Acesso em: 09 jul. 2025. , 2025
APA
Casarotto, P. H., & Cerri, R. (2025). Growing self-organizing maps for multi-label classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79032-4_3
NLM
Casarotto PH, Cerri R. Growing self-organizing maps for multi-label classification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 33-48.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_3
Vancouver
Casarotto PH, Cerri R. Growing self-organizing maps for multi-label classification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 33-48.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_3
Trabalho de evento-anais periodico
A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation (2025)
Lima, Rodrigo de Freitas ; Leal, Sidney Evaldo ; Candido Junior, Arnaldo ; Aluísio, Sandra Maria
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, CORPUS, PORTUGUÊS DO BRASIL
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LIMA, Rodrigo de Freitas et al. A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79029-4_3. Acesso em: 09 jul. 2025. , 2025
APA
Lima, R. de F., Leal, S. E., Candido Junior, A., & Aluísio, S. M. (2025). A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79029-4_3
NLM
Lima R de F, Leal SE, Candido Junior A, Aluísio SM. A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15412 33-47.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_3
Vancouver
Lima R de F, Leal SE, Candido Junior A, Aluísio SM. A large dataset of spontaneous speech with the accent spoken in São Paulo for automatic speech recognition evaluation [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15412 33-47.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_3
Trabalho de evento-anais periodico
Semi-supervised predictive clustering trees for multi-label protein subcellular localization (2025)
Alcantara, Leonardo Utida; Triguero, Isaac ; Cerri, Ricardo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL
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ALCANTARA, Leonardo Utida e TRIGUERO, Isaac e CERRI, Ricardo. Semi-supervised predictive clustering trees for multi-label protein subcellular localization. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_27. Acesso em: 09 jul. 2025. , 2025
APA
Alcantara, L. U., Triguero, I., & Cerri, R. (2025). Semi-supervised predictive clustering trees for multi-label protein subcellular localization. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79032-4_27
NLM
Alcantara LU, Triguero I, Cerri R. Semi-supervised predictive clustering trees for multi-label protein subcellular localization [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 384-399.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_27
Vancouver
Alcantara LU, Triguero I, Cerri R. Semi-supervised predictive clustering trees for multi-label protein subcellular localization [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 384-399.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_27
Trabalho de evento-anais periodico
Diversity in data for speech processing in brazilian portuguese (2025)
Craveiro, Giovana Meloni ; Galdino, Julio Cesar
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROSÓDIA, PORTUGUÊS DO BRASIL
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CRAVEIRO, Giovana Meloni e GALDINO, Julio Cesar. Diversity in data for speech processing in brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_9. Acesso em: 09 jul. 2025. , 2025
APA
Craveiro, G. M., & Galdino, J. C. (2025). Diversity in data for speech processing in brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_9
NLM
Craveiro GM, Galdino JC. Diversity in data for speech processing in brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 122-136.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
Vancouver
Craveiro GM, Galdino JC. Diversity in data for speech processing in brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 122-136.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
Trabalho de evento-anais periodico
Modeling and predicting crimes in the city of São Paulo using graph neural networks (2025)
Hassan, Waqar ; Cabral, Marvin Mendes ; Ramos, Thiago Rodrigo ; Castelo, Antonio ; Nonato, Luis Gustavo
Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: SEGURANÇA PÚBLICA, MODELAGEM DE DADOS, REDES NEURAIS, CRIME
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HASSAN, Waqar et al. Modeling and predicting crimes in the city of São Paulo using graph neural networks. Lecture Notes in Artificial Intelligence - LNAI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79035-5_26. Acesso em: 09 jul. 2025. , 2025
APA
Hassan, W., Cabral, M. M., Ramos, T. R., Castelo, A., & Nonato, L. G. (2025). Modeling and predicting crimes in the city of São Paulo using graph neural networks. Lecture Notes in Artificial Intelligence - LNAI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-79035-5_26
NLM
Hassan W, Cabral MM, Ramos TR, Castelo A, Nonato LG. Modeling and predicting crimes in the city of São Paulo using graph neural networks [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2025 ; 15414 372-386.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_26
Vancouver
Hassan W, Cabral MM, Ramos TR, Castelo A, Nonato LG. Modeling and predicting crimes in the city of São Paulo using graph neural networks [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2025 ; 15414 372-386.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_26
Trabalho de evento-anais periodico
One-class learning for data stream through graph neural networks (2025)
Gôlo, Marcos Paulo Silva ; Gama, João ; Marcacini, Ricardo Marcondes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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GÔLO, Marcos Paulo Silva e GAMA, João e MARCACINI, Ricardo Marcondes. One-class learning for data stream through graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_5. Acesso em: 09 jul. 2025. , 2025
APA
Gôlo, M. P. S., Gama, J., & Marcacini, R. M. (2025). One-class learning for data stream through graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_5
NLM
Gôlo MPS, Gama J, Marcacini RM. One-class learning for data stream through graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 61-75.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
Vancouver
Gôlo MPS, Gama J, Marcacini RM. One-class learning for data stream through graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 61-75.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
Trabalho de evento-anais periodico
Semi-periodic activation for time series classification (2025)
Medeiros, José Gilberto Barbosa de; Mitri, André Guarnier de ; Silva, Diego Furtado
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS
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MEDEIROS, José Gilberto Barbosa de e MITRI, André Guarnier de e SILVA, Diego Furtado. Semi-periodic activation for time series classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_6. Acesso em: 09 jul. 2025. , 2025
APA
Medeiros, J. G. B. de, Mitri, A. G. de, & Silva, D. F. (2025). Semi-periodic activation for time series classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_6
NLM
Medeiros JGB de, Mitri AG de, Silva DF. Semi-periodic activation for time series classification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 76-90.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_6
Vancouver
Medeiros JGB de, Mitri AG de, Silva DF. Semi-periodic activation for time series classification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 76-90.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_6
Trabalho de evento-anais periodico
Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease (2025)
Alves, Juliana ; Costa, Eduardo ; Xavier, Alencar ; Cerri, Ricardo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, GENÔMICA, BIOMARCADORES, DOENÇA DE ALZHEIMER
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ALVES, Juliana et al. Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79035-5_11. Acesso em: 09 jul. 2025. , 2025
APA
Alves, J., Costa, E., Xavier, A., & Cerri, R. (2025). Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79035-5_11
NLM
Alves J, Costa E, Xavier A, Cerri R. Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15414 157-171.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_11
Vancouver
Alves J, Costa E, Xavier A, Cerri R. Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15414 157-171.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_11
Trabalho de evento-anais periodico
Tackling low-resource ECG classification with self-supervised learning (2025)
Silva, Rafael da Costa ; Silva, Diego Furtado
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, DIAGNÓSTICO POR COMPUTADOR, ELETROCARDIOGRAFIA, DOENÇAS CARDIOVASCULARES
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SILVA, Rafael da Costa e SILVA, Diego Furtado. Tackling low-resource ECG classification with self-supervised learning. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_17. Acesso em: 09 jul. 2025. , 2025
APA
Silva, R. da C., & Silva, D. F. (2025). Tackling low-resource ECG classification with self-supervised learning. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_17
NLM
Silva R da C, Silva DF. Tackling low-resource ECG classification with self-supervised learning [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 238-252.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17
Vancouver
Silva R da C, Silva DF. Tackling low-resource ECG classification with self-supervised learning [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 238-252.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17
Trabalho de evento-anais periodico
Evaluating sentiment quantification methods in brazilian portuguese corpora (2025)
Silva, Lucas Nildaimon dos Santos ; Silva, Diego Furtado ; Caseli, Helena de Medeiros
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: RECONHECIMENTO DE TEXTO, CORPUS, EMOÇÕES, PORTUGUÊS DO BRASIL
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SILVA, Lucas Nildaimon dos Santos e SILVA, Diego Furtado e CASELI, Helena de Medeiros. Evaluating sentiment quantification methods in brazilian portuguese corpora. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79035-5_16. Acesso em: 09 jul. 2025. , 2025
APA
Silva, L. N. dos S., Silva, D. F., & Caseli, H. de M. (2025). Evaluating sentiment quantification methods in brazilian portuguese corpora. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79035-5_16
NLM
Silva LN dos S, Silva DF, Caseli H de M. Evaluating sentiment quantification methods in brazilian portuguese corpora [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15414 230-244.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_16
Vancouver
Silva LN dos S, Silva DF, Caseli H de M. Evaluating sentiment quantification methods in brazilian portuguese corpora [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15414 230-244.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_16
Trabalho de evento-anais periodico
Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese (2025)
Jorge, Germano Antonio Zani; Bezerra, Davi Alves; Xavier, Clarissa Castellã; Pardo, Thiago Alexandre Salgueiro
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL, LÍNGUA INGLESA
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JORGE, Germano Antonio Zani et al. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_15. Acesso em: 09 jul. 2025. , 2025
APA
Jorge, G. A. Z., Bezerra, D. A., Xavier, C. C., & Pardo, T. A. S. (2025). Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79032-4_15
NLM
Jorge GAZ, Bezerra DA, Xavier CC, Pardo TAS. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 212-223.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15
Vancouver
Jorge GAZ, Bezerra DA, Xavier CC, Pardo TAS. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 212-223.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15
Trabalho de evento-anais periodico
Exploring text decoding methods for portuguese legal text generation (2023)
Sakiyama, Kenzo ; Montanari, Raphael ; Malaquias Junior, Roseval Donisete ; Nogueira, Rodrigo Frassetto ; Romero, Roseli Aparecida Francelin
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, EESC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, RECUPERAÇÃO DA INFORMAÇÃO, PORTUGUÊS DO BRASIL
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SAKIYAMA, Kenzo et al. Exploring text decoding methods for portuguese legal text generation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_5. Acesso em: 09 jul. 2025. , 2023
APA
Sakiyama, K., Montanari, R., Malaquias Junior, R. D., Nogueira, R. F., & Romero, R. A. F. (2023). Exploring text decoding methods for portuguese legal text generation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_5
NLM
Sakiyama K, Montanari R, Malaquias Junior RD, Nogueira RF, Romero RAF. Exploring text decoding methods for portuguese legal text generation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 63-77.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_5
Vancouver
Sakiyama K, Montanari R, Malaquias Junior RD, Nogueira RF, Romero RAF. Exploring text decoding methods for portuguese legal text generation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 63-77.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_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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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: 09 jul. 2025. , 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 2025 jul. 09 ] 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 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Trabalho de evento-anais periodico
Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese (2023)
Lopes, Lucelene ; Fernandes, Paulo ; Inácio, Marcio Lima ; Duran, Magali Sanches ; Pardo, Thiago Alexandre Salgueiro
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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LOPES, Lucelene et al. Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45392-2_16. Acesso em: 09 jul. 2025. , 2023
APA
Lopes, L., Fernandes, P., Inácio, M. L., Duran, M. S., & Pardo, T. A. S. (2023). Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45392-2_16
NLM
Lopes L, Fernandes P, Inácio ML, Duran MS, Pardo TAS. Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 241-255.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_16
Vancouver
Lopes L, Fernandes P, Inácio ML, Duran MS, Pardo TAS. Disambiguation of Universal Dependencies part-of-speech tags of closed class words in portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14197 241-255.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_16
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: 09 jul. 2025. , 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 2025 jul. 09 ] 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 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_19
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 jul. 2025. , 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 2025 jul. 09 ] 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 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_6
Trabalho de evento-anais periodico
A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task (2022)
Linhares, Claudio Douglas Gouveia ; Tinoco, Claudiney Ramos ; Ponciano, Jean Roberto ; Oliveira, Gina Maira Barbosa de; Travençolo, Bruno Augusto Nassif
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, VISUALIZAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINHARES, Claudio Douglas Gouveia et al. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_5. Acesso em: 09 jul. 2025. , 2022
APA
Linhares, C. D. G., Tinoco, C. R., Ponciano, J. R., Oliveira, G. M. B. de, & Travençolo, B. A. N. (2022). A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_5
NLM
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Vancouver
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 jul. 2025. , 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 2025 jul. 09 ] 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 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_44
Trabalho de evento-anais periodico
Sequential short-text classification from multiple textual representations with weak supervision (2022)
Reis Filho, Ivan José ; Martins, Luiz Henrique Dutra ; Parmezan, Antonio Rafael Sabino ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS FILHO, Ivan José et al. Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_12. Acesso em: 09 jul. 2025. , 2022
APA
Reis Filho, I. J., Martins, L. H. D., Parmezan, A. R. S., Marcacini, R. M., & Rezende, S. O. (2022). Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_12
NLM
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Vancouver
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2025 jul. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12

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