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Trabalho de evento-anais periodico
HIRS: a hybrid information retrieval system for legislative documents (2025)
Santos, José Antônio Pedro dos ; Souza, Ellen Polliana Ramos ; Bastos-Filho, Carmelo Jose Albanez ; Albuquerque, Hidelberg Oliveira ; Vitório, Douglas ; Lucena, Danilo Carlos Gouveia de ; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECUPERAÇÃO DA INFORMAÇÃO, PORTUGUÊS DO BRASIL
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ABNT
SANTOS, José Antônio Pedro dos et al. HIRS: a hybrid information retrieval system for legislative documents. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-73497-7_26. Acesso em: 09 dez. 2025. , 2025
APA
Santos, J. A. P. dos, Souza, E. P. R., Bastos-Filho, C. J. A., Albuquerque, H. O., Vitório, D., Lucena, D. C. G. de, et al. (2025). HIRS: a hybrid information retrieval system for legislative documents. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-73497-7_26
NLM
Santos JAP dos, Souza EPR, Bastos-Filho CJA, Albuquerque HO, Vitório D, Lucena DCG de, Silva NFF da, Carvalho ACP de LF de. HIRS: a hybrid information retrieval system for legislative documents [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 14967 320-331.[citado 2025 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-73497-7_26
Vancouver
Santos JAP dos, Souza EPR, Bastos-Filho CJA, Albuquerque HO, Vitório D, Lucena DCG de, Silva NFF da, Carvalho ACP de LF de. HIRS: a hybrid information retrieval system for legislative documents [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 14967 320-331.[citado 2025 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-73497-7_26
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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ABNT
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 dez. 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 dez. 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 dez. 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
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: 09 dez. 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 dez. 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 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_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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ABNT
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 dez. 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 dez. 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 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
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 dez. 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 dez. 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 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
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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ABNT
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 dez. 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 dez. 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 dez. 09 ] 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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ABNT
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 dez. 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 dez. 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 dez. 09 ] 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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ABNT
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 dez. 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 dez. 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 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17
Trabalho de evento-anais periodico
Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification (2025)
Freire, Daniela Lopes ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Silva, Ricardo Dutra da ; Perea, Juan Fernando Rojas
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, AERONAVES NÃO TRIPULADAS, LINHAS AÉREAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA
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ABNT
FREIRE, Daniela Lopes et al. Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-73500-4_16. Acesso em: 09 dez. 2025. , 2025
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Peterlevitz, A. J., Chinelatto, M. A., Silva, R. D. da, & Perea, J. F. R. (2025). Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-73500-4_16
NLM
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 14968 184-196.[citado 2025 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-73500-4_16
Vancouver
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 14968 184-196.[citado 2025 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-73500-4_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
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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ABNT
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 dez. 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 dez. 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 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15
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
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: RECONHECIMENTO DE TEXTO, CORPUS, EMOÇÕES, PORTUGUÊS DO BRASIL
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ABNT
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 dez. 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 dez. 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 dez. 09 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_16

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