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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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: RECONHECIMENTO DA FALA, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] 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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_27
Trabalho de evento-anais periodico
Growing self-organizing maps for multi-label classification (2025)
Casarotto, Pedro Henrique; Cerri, Ricardo
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_3
Trabalho de evento-anais periodico
Diversity in data for speech processing in brazilian portuguese (2025)
Craveiro, Giovana Meloni ; Galdino, Julio Cesar
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_11
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_6
Trabalho de evento-anais periodico
Tackling low-resource ECG classification with self-supervised learning (2025)
Silva, Rafael da Costa ; Silva, Diego Furtado
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] 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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, EESC
Assuntos: 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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_5
Trabalho de evento-anais periodico
Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo (2023)
Oliveira, Cristina Godoy Bernardo de ; Albuquerque, Otávio de Paula ; Belotti, Emily Liene; Lopes, Isabella Ferreira; Silva, Rodrigo Brandão de Andrade e; Arbix, Glauco Antonio Truzzi
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FDRP, FFLCH, EESC E ICMC, EACH
Assuntos: RECONHECIMENTO DE IMAGEM, MINERAÇÃO DE DADOS, DIREITO DO CONSUMIDOR, JURISPRUDÊNCIA, CRÉDITO BANCÁRIO
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OLIVEIRA, Cristina Godoy Bernardo de et al. Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_2. Acesso em: 05 nov. 2025. , 2023
APA
Oliveira, C. G. B. de, Albuquerque, O. de P., Belotti, E. L., Lopes, I. F., Silva, R. B. de A. e, & Arbix, G. A. T. (2023). Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_2
NLM
Oliveira CGB de, Albuquerque O de P, Belotti EL, Lopes IF, Silva RB de A e, Arbix GAT. Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 18-32.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_2
Vancouver
Oliveira CGB de, Albuquerque O de P, Belotti EL, Lopes IF, Silva RB de A e, Arbix GAT. Regulation and ethics of facial recognition systems: an analysis of cases in the Court of Appeal in the state of São Paulo [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 18-32.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_2
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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ABNT
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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-45392-2_16
Trabalho de evento-anais periodico
Abstract meaning representation parsing for the brazilian portuguese language (2022)
Anchieta, Rafael Torres ; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, SEMÂNTICA, PORTUGUÊS DO BRASIL
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ANCHIETA, Rafael Torres e PARDO, Thiago Alexandre Salgueiro. Abstract meaning representation parsing for the brazilian portuguese language. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_41. Acesso em: 05 nov. 2025. , 2022
APA
Anchieta, R. T., & Pardo, T. A. S. (2022). Abstract meaning representation parsing for the brazilian portuguese language. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_41
NLM
Anchieta RT, Pardo TAS. Abstract meaning representation parsing for the brazilian portuguese language [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 429-434.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_41
Vancouver
Anchieta RT, Pardo TAS. Abstract meaning representation parsing for the brazilian portuguese language [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 429-434.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_41
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: ROBÓTICA, VISÃO COMPUTACIONAL, VISUALIZAÇÃO, REDES COMPLEXAS
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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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Trabalho de evento-anais periodico
Implicit opinion aspect clues in portuguese texts: analysis and categorization (2022)
Machado, Mateus Tarcinalli ; Pardo, Thiago Alexandre Salgueiro ; Ruiz, Evandro Eduardo Seron ; Felippo, Ariani di ; Vargas, Francielle Alves
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on International Conference - PROPOR. Unidades: ICMC, FFCLRP
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
MACHADO, Mateus Tarcinalli et al. Implicit opinion aspect clues in portuguese texts: analysis and categorization. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_7. Acesso em: 05 nov. 2025. , 2022
APA
Machado, M. T., Pardo, T. A. S., Ruiz, E. E. S., Felippo, A. di, & Vargas, F. A. (2022). Implicit opinion aspect clues in portuguese texts: analysis and categorization. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_7
NLM
Machado MT, Pardo TAS, Ruiz EES, Felippo A di, Vargas FA. Implicit opinion aspect clues in portuguese texts: analysis and categorization [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 68-78.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7
Vancouver
Machado MT, Pardo TAS, Ruiz EES, Felippo A di, Vargas FA. Implicit opinion aspect clues in portuguese texts: analysis and categorization [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 68-78.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
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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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Trabalho de evento-anais periodico
Extreme learning machine to graph convolutional networks (2022)
Gonçalves, Thales ; Rodrigues, Francisco Aparecido
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Thales e RODRIGUES, Francisco Aparecido. Extreme learning machine to graph convolutional networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_42. Acesso em: 05 nov. 2025. , 2022
APA
Gonçalves, T., & Rodrigues, F. A. (2022). Extreme learning machine to graph convolutional networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21689-3_42
NLM
Gonçalves T, Rodrigues FA. Extreme learning machine to graph convolutional networks [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 601-615.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Vancouver
Gonçalves T, Rodrigues FA. Extreme learning machine to graph convolutional networks [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13654 601-615.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_42
Trabalho de evento-anais periodico
Universal dependencies-based PoS tagging refinement through linguistic resources (2021)
Lopes, Lucelene ; Duran, Magali Sanches ; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucelene e DURAN, Magali Sanches e PARDO, Thiago Alexandre Salgueiro. Universal dependencies-based PoS tagging refinement through linguistic resources. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_41. Acesso em: 05 nov. 2025. , 2021
APA
Lopes, L., Duran, M. S., & Pardo, T. A. S. (2021). Universal dependencies-based PoS tagging refinement through linguistic resources. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_41
NLM
Lopes L, Duran MS, Pardo TAS. Universal dependencies-based PoS tagging refinement through linguistic resources [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 601–615.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
Vancouver
Lopes L, Duran MS, Pardo TAS. Universal dependencies-based PoS tagging refinement through linguistic resources [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 601–615.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_41
Trabalho de evento-anais periodico
A heterogeneous network-based positive and unlabeled learning approach to detect fake news (2021)
Souza, Mariana Caravanti de ; Nogueira, Bruno Magalhães ; Rossi, Rafael Geraldeli ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: FAKE NEWS, PROCESSAMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Mariana Caravanti de et al. A heterogeneous network-based positive and unlabeled learning approach to detect fake news. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_1. Acesso em: 05 nov. 2025. , 2021
APA
Souza, M. C. de, Nogueira, B. M., Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2021). A heterogeneous network-based positive and unlabeled learning approach to detect fake news. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_1
NLM
Souza MC de, Nogueira BM, Rossi RG, Marcacini RM, Rezende SO. A heterogeneous network-based positive and unlabeled learning approach to detect fake news [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 3-18.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_1
Vancouver
Souza MC de, Nogueira BM, Rossi RG, Marcacini RM, Rezende SO. A heterogeneous network-based positive and unlabeled learning approach to detect fake news [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 3-18.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_1

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