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Trabalho de evento-anais periodico
Hardness sampling: exploring instance hardness in pool-based active learning (2026)
Nogueira, Gabriel da Silva Corvino; Santos, Davi P. dos; Carvalho, André Carlos Ponce de Leon Ferreira de ; Garcia, Luís Paulo Faina
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
NOGUEIRA, Gabriel da Silva Corvino et al. Hardness sampling: exploring instance hardness in pool-based active learning. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_1. Acesso em: 20 fev. 2026. , 2026
APA
Nogueira, G. da S. C., Santos, D. P. dos, Carvalho, A. C. P. de L. F. de, & Garcia, L. P. F. (2026). Hardness sampling: exploring instance hardness in pool-based active learning. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15984-7_1
NLM
Nogueira G da SC, Santos DP dos, Carvalho ACP de LF de, Garcia LPF. Hardness sampling: exploring instance hardness in pool-based active learning [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 3-17.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_1
Vancouver
Nogueira G da SC, Santos DP dos, Carvalho ACP de LF de, Garcia LPF. Hardness sampling: exploring instance hardness in pool-based active learning [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 3-17.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_1
Trabalho de evento-anais periodico
Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks (2026)
Barbirato, João Gabriel Melo ; Lopes, Alneu de Andrade
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
BARBIRATO, João Gabriel Melo e LOPES, Alneu de Andrade. Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_35. Acesso em: 20 fev. 2026. , 2026
APA
Barbirato, J. G. M., & Lopes, A. de A. (2026). Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15987-8_35
NLM
Barbirato JGM, Lopes A de A. Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 524-538.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_35
Vancouver
Barbirato JGM, Lopes A de A. Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 524-538.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_35
Trabalho de evento-anais periodico
The impact of prosodic segmentation on speech synthesis of spontaneous speech (2026)
Galdino, Julio Cesar ; Leal, Sidney Evaldo ; Souza, Leticia Gabriella de ; Lima, Rodrigo de Freitas ; Moreira, Antonio ; Candido Junior, Arnaldo ; Oliveira Junior, Miguel Jose Alves De ; Casanova, Edresson ; Aluísio, Sandra Maria
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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ABNT
GALDINO, Julio Cesar et al. The impact of prosodic segmentation on speech synthesis of spontaneous speech. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_37. Acesso em: 20 fev. 2026. , 2026
APA
Galdino, J. C., Leal, S. E., Souza, L. G. de, Lima, R. de F., Moreira, A., Candido Junior, A., et al. (2026). The impact of prosodic segmentation on speech synthesis of spontaneous speech. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15984-7_37
NLM
Galdino JC, Leal SE, Souza LG de, Lima R de F, Moreira A, Candido Junior A, Oliveira Junior MJAD, Casanova E, Aluísio SM. The impact of prosodic segmentation on speech synthesis of spontaneous speech [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 547-561.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_37
Vancouver
Galdino JC, Leal SE, Souza LG de, Lima R de F, Moreira A, Candido Junior A, Oliveira Junior MJAD, Casanova E, Aluísio SM. The impact of prosodic segmentation on speech synthesis of spontaneous speech [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 547-561.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_37
Trabalho de evento-anais periodico
Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation (2026)
Utino, Matheus Yasuo Ribeiro ; Matsushima, Elton Hiroshi ; Paes, Aline ; Mann, Paulo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, DEPRESSÃO, MÍDIAS SOCIAIS
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ABNT
UTINO, Matheus Yasuo Ribeiro et al. Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15990-8_27. Acesso em: 20 fev. 2026. , 2026
APA
Utino, M. Y. R., Matsushima, E. H., Paes, A., & Mann, P. (2026). Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15990-8_27
NLM
Utino MYR, Matsushima EH, Paes A, Mann P. Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16181 393-408.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15990-8_27
Vancouver
Utino MYR, Matsushima EH, Paes A, Mann P. Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16181 393-408.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15990-8_27
Trabalho de evento-anais periodico
Deep graph clustering using graph neural networks and seed detection (2026)
Lopes Filho, Carlos Pereira ; Messias, Guilherme Henrique ; Iasulaitis, Sylvia ; Lopes, Alneu de Andrade ; Valejo, Alan Demetrius Baria
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
LOPES FILHO, Carlos Pereira et al. Deep graph clustering using graph neural networks and seed detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_23. Acesso em: 20 fev. 2026. , 2026
APA
Lopes Filho, C. P., Messias, G. H., Iasulaitis, S., Lopes, A. de A., & Valejo, A. D. B. (2026). Deep graph clustering using graph neural networks and seed detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15987-8_23
NLM
Lopes Filho CP, Messias GH, Iasulaitis S, Lopes A de A, Valejo ADB. Deep graph clustering using graph neural networks and seed detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 347-361.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_23
Vancouver
Lopes Filho CP, Messias GH, Iasulaitis S, Lopes A de A, Valejo ADB. Deep graph clustering using graph neural networks and seed detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 347-361.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_23
Trabalho de evento-anais periodico
Juru: legal brazilian large language model from reputable sources (2026)
Malaquias Junior, Roseval Donisete ; Pires, Ramon ; Romero, Roseli Aparecida Francelin ; Nogueira, Rodrigo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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ABNT
MALAQUIAS JUNIOR, Roseval Donisete et al. Juru: legal brazilian large language model from reputable sources. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_9. Acesso em: 20 fev. 2026. , 2026
APA
Malaquias Junior, R. D., Pires, R., Romero, R. A. F., & Nogueira, R. (2026). Juru: legal brazilian large language model from reputable sources. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15984-7_9
NLM
Malaquias Junior RD, Pires R, Romero RAF, Nogueira R. Juru: legal brazilian large language model from reputable sources [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 121-134.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_9
Vancouver
Malaquias Junior RD, Pires R, Romero RAF, Nogueira R. Juru: legal brazilian large language model from reputable sources [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 121-134.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_9
Trabalho de evento-anais periodico
Data stream mining to predict recommended actions for firewall network traffic (2026)
Dias, Herbert Gonçalves ; Giarini, Wagner Rafael; Cerri, Ricardo
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), SEGURANÇA DE REDES, APRENDIZADO COMPUTACIONAL
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ABNT
DIAS, Herbert Gonçalves e GIARINI, Wagner Rafael e CERRI, Ricardo. Data stream mining to predict recommended actions for firewall network traffic. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_21. Acesso em: 20 fev. 2026. , 2026
APA
Dias, H. G., Giarini, W. R., & Cerri, R. (2026). Data stream mining to predict recommended actions for firewall network traffic. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15987-8_21
NLM
Dias HG, Giarini WR, Cerri R. Data stream mining to predict recommended actions for firewall network traffic [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 315-330.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_21
Vancouver
Dias HG, Giarini WR, Cerri R. Data stream mining to predict recommended actions for firewall network traffic [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 315-330.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_21
Trabalho de evento-anais periodico
Multilevel strategy for community detection in k-partite networks (2026)
Mendes, Renata Sarmet Smiderle ; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
MENDES, Renata Sarmet Smiderle e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. Multilevel strategy for community detection in k-partite networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_14. Acesso em: 20 fev. 2026. , 2026
APA
Mendes, R. S. S., Valejo, A. D. B., & Lopes, A. de A. (2026). Multilevel strategy for community detection in k-partite networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15984-7_14
NLM
Mendes RSS, Valejo ADB, Lopes A de A. Multilevel strategy for community detection in k-partite networks [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 196-211.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_14
Vancouver
Mendes RSS, Valejo ADB, Lopes A de A. Multilevel strategy for community detection in k-partite networks [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 196-211.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_14
Trabalho de evento-anais periodico
Positive and unlabeled graph learning with large language models for fake news detection (2026)
Messias, Guilherme Henrique ; Souza, Mariana Caravanti de ; Gameiro, Yanni Marcela ; Iasulaitis, Sylvia ; Seno, Eloize Rossi Marques ; Rezende, Solange Oliveira ; Valejo, Alan Demetrius Baria
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TEORIA DOS GRAFOS, APRENDIZADO COMPUTACIONAL, FAKE NEWS
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ABNT
MESSIAS, Guilherme Henrique et al. Positive and unlabeled graph learning with large language models for fake news detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_23. Acesso em: 20 fev. 2026. , 2026
APA
Messias, G. H., Souza, M. C. de, Gameiro, Y. M., Iasulaitis, S., Seno, E. R. M., Rezende, S. O., & Valejo, A. D. B. (2026). Positive and unlabeled graph learning with large language models for fake news detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15984-7_23
NLM
Messias GH, Souza MC de, Gameiro YM, Iasulaitis S, Seno ERM, Rezende SO, Valejo ADB. Positive and unlabeled graph learning with large language models for fake news detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 331-346.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_23
Vancouver
Messias GH, Souza MC de, Gameiro YM, Iasulaitis S, Seno ERM, Rezende SO, Valejo ADB. Positive and unlabeled graph learning with large language models for fake news detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 331-346.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_23
Trabalho de evento-anais periodico
Exploring data-oriented strategies for training ECG self-supervised models (2026)
Silva, Rafael da Costa ; Medronha, Adilson Junior Alves ; 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, ELETROCARDIOGRAFIA
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ABNT
SILVA, Rafael da Costa e MEDRONHA, Adilson Junior Alves e SILVA, Diego Furtado. Exploring data-oriented strategies for training ECG self-supervised models. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15990-8_15. Acesso em: 20 fev. 2026. , 2026
APA
Silva, R. da C., Medronha, A. J. A., & Silva, D. F. (2026). Exploring data-oriented strategies for training ECG self-supervised models. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15990-8_15
NLM
Silva R da C, Medronha AJA, Silva DF. Exploring data-oriented strategies for training ECG self-supervised models [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16181 215-229.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15990-8_15
Vancouver
Silva R da C, Medronha AJA, Silva DF. Exploring data-oriented strategies for training ECG self-supervised models [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16181 215-229.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15990-8_15
Parte de monografia/livro-apres/pref/posf
The 35th Brazilian Conference on Intelligent Systems... [Prefácio] (2026)
Freitas, Rosiane de (Editor) ; Silva, Diego Furtado (Editor)
Source: Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
The 35th Brazilian Conference on Intelligent Systems.. [Prefácio]. Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8. Acesso em: 20 fev. 2026. , 2026
APA
The 35th Brazilian Conference on Intelligent Systems.. [Prefácio]. (2026). The 35th Brazilian Conference on Intelligent Systems.. [Prefácio]. Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. Cham: Springer. doi:10.1007/978-3-032-15987-8
NLM
The 35th Brazilian Conference on Intelligent Systems.. [Prefácio] [Internet]. Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. 2026 ;[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8
Vancouver
The 35th Brazilian Conference on Intelligent Systems.. [Prefácio] [Internet]. Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. 2026 ;[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8
Trabalho de evento-anais periodico
HEACT: Hybrid Evolutionary Algorithm for the multi-region multi-objective cloud task scheduling problem: a study of workflow scheduling in AWS EC2 (2025)
Carvalho, Vinicius Renan de ; Sichman, Jaime S.
Source: Lecture notes in computer science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: EP
Subjects: COMPUTAÇÃO EM NUVEM, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS, PROGRAMAÇÃO HEURÍSTICA, PARETO OTIMALIDADE
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ABNT
CARVALHO, Vinicius Renan de e SICHMAN, Jaime S. HEACT: Hybrid Evolutionary Algorithm for the multi-region multi-objective cloud task scheduling problem: a study of workflow scheduling in AWS EC2. Lecture notes in computer science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_4. Acesso em: 20 fev. 2026. , 2025
APA
Carvalho, V. R. de, & Sichman, J. S. (2025). HEACT: Hybrid Evolutionary Algorithm for the multi-region multi-objective cloud task scheduling problem: a study of workflow scheduling in AWS EC2. Lecture notes in computer science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-79032-4_4
NLM
Carvalho VR de, Sichman JS. HEACT: Hybrid Evolutionary Algorithm for the multi-region multi-objective cloud task scheduling problem: a study of workflow scheduling in AWS EC2 [Internet]. Lecture notes in computer science. 2025 ; 15413( Ja 2025): 49-64.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_4
Vancouver
Carvalho VR de, Sichman JS. HEACT: Hybrid Evolutionary Algorithm for the multi-region multi-objective cloud task scheduling problem: a study of workflow scheduling in AWS EC2 [Internet]. Lecture notes in computer science. 2025 ; 15413( Ja 2025): 49-64.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_4
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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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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_6
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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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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_16
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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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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17
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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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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_3
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_20
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 20 fev. 2026. , 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 2026 fev. 20 ] 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 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_3

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