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Relatorio tecnico
Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation (2025)
Gauy, Marcelo Matheus ; Finger, Marcelo ; Svartman, Flaviane ; Sabino, Ester Cerdeira ; Levin, Anna Sara ; Candido Junior, Arnaldo ; Berti, Larissa Cristina ; Stanzione, Gabriel Rocha; Morita, Ricardo Mikio; Koza, Natália Hitomi
Source: SSRN. Unidades: FFLCH, FM, IME, ESALQ
Subjects: APRENDIZAGEM PROFUNDA, MODELOS, INSUFICIÊNCIA RESPIRATÓRIA
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ABNT
GAUY, Marcelo Matheus et al. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation. SSRN. Amsterdam: Elsevier BV. Disponível em: https://doi.org/10.2139/ssrn.5276440. Acesso em: 08 jul. 2025. , 2025
APA
Gauy, M. M., Finger, M., Svartman, F., Sabino, E. C., Levin, A. S., Candido Junior, A., et al. (2025). Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation. SSRN. Amsterdam: Elsevier BV. doi:10.2139/ssrn.5276440
NLM
Gauy MM, Finger M, Svartman F, Sabino EC, Levin AS, Candido Junior A, Berti LC, Stanzione GR, Morita RM, Koza NH. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation [Internet]. SSRN. 2025 ; 1-53 (preprint online).[citado 2025 jul. 08 ] Available from: https://doi.org/10.2139/ssrn.5276440
Vancouver
Gauy MM, Finger M, Svartman F, Sabino EC, Levin AS, Candido Junior A, Berti LC, Stanzione GR, Morita RM, Koza NH. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation [Internet]. SSRN. 2025 ; 1-53 (preprint online).[citado 2025 jul. 08 ] Available from: https://doi.org/10.2139/ssrn.5276440
Trabalho de evento-anais periodico
A unified framework for average reward criterion and risk (2025)
Reis, Willy Arthur Silva; Delgado, Karina Valdivia; Silva, Valdinei Freire da
Source: Intelligent Systems. BRACIS 2024 Proceedings, Part I. Conference titles: Brazilian Conference - BRACIS 2024. Unidades: EACH, IME
Subjects: PROCESSOS DE MARKOV, INTELIGÊNCIA ARTIFICIAL
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ABNT
REIS, Willy Arthur Silva e DELGADO, Karina Valdivia e SILVA, Valdinei Freire da. A unified framework for average reward criterion and risk. Intelligent Systems. BRACIS 2024 Proceedings, Part I. Cham: Springer Nature. Disponível em: https://doi.org/10.1007/978-3-031-79029-4_7. Acesso em: 08 jul. 2025. , 2025
APA
Reis, W. A. S., Delgado, K. V., & Silva, V. F. da. (2025). A unified framework for average reward criterion and risk. Intelligent Systems. BRACIS 2024 Proceedings, Part I. Cham: Springer Nature. doi:10.1007/978-3-031-79029-4_7
NLM
Reis WAS, Delgado KV, Silva VF da. A unified framework for average reward criterion and risk [Internet]. Intelligent Systems. BRACIS 2024 Proceedings, Part I. 2025 ; 96-110.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_7
Vancouver
Reis WAS, Delgado KV, Silva VF da. A unified framework for average reward criterion and risk [Internet]. Intelligent Systems. BRACIS 2024 Proceedings, Part I. 2025 ; 96-110.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_7
Trabalho de evento-anais periodico
Regional, lattice and logical representations of neural networks (2025)
Preto, Sandro ; Finger, Marcelo
Source: Electronic Proceedings in Theoretical Computer Science. Conference titles: International Workshop on Logical and Semantic Frameworks, with Applications - LSFA. Unidade: IME
Subjects: REDES NEURAIS, LÓGICA, ALGORITMOS
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ABNT
PRETO, Sandro e FINGER, Marcelo. Regional, lattice and logical representations of neural networks. Electronic Proceedings in Theoretical Computer Science. Sydney: Open Publishing Association. Disponível em: https://cgi.cse.unsw.edu.au/~eptcs/Published/LSFA2024/Proceedings.pdf. Acesso em: 08 jul. 2025. , 2025
APA
Preto, S., & Finger, M. (2025). Regional, lattice and logical representations of neural networks. Electronic Proceedings in Theoretical Computer Science. Sydney: Open Publishing Association. doi:10.4204/EPTCS.421.4
NLM
Preto S, Finger M. Regional, lattice and logical representations of neural networks [Internet]. Electronic Proceedings in Theoretical Computer Science. 2025 ; 421 64-79.[citado 2025 jul. 08 ] Available from: https://cgi.cse.unsw.edu.au/~eptcs/Published/LSFA2024/Proceedings.pdf
Vancouver
Preto S, Finger M. Regional, lattice and logical representations of neural networks [Internet]. Electronic Proceedings in Theoretical Computer Science. 2025 ; 421 64-79.[citado 2025 jul. 08 ] Available from: https://cgi.cse.unsw.edu.au/~eptcs/Published/LSFA2024/Proceedings.pdf
Artigo de periodico
Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development (2025)
Soares, Filipi Miranda ; Saraiva, Antonio Mauro ; Pires, Luis Ferreira ; Santos, Luiz Olavo Bonino da Silva ; Moreira, Dilvan de Abreu ; Correa, Fernando Elias ; Braghetto, Kelly Rosa ; Drucker, Debora Pignatari ; Delbem, Alexandre Cláudio Botazzo
Source: Data Intelligence. Unidades: EP, ICMC, IME, IEA
Subjects: INTELIGÊNCIA ARTIFICIAL, AGRICULTURA, BOTÂNICA (CLASSIFICAÇÃO), ONTOLOGIA
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ABNT
SOARES, Filipi Miranda et al. Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development. Data Intelligence, v. 7, n. 2, p. 265-302, 2025Tradução . . Disponível em: https://doi.org/10.3724/2096-7004.di.2025.0020. Acesso em: 08 jul. 2025.
APA
Soares, F. M., Saraiva, A. M., Pires, L. F., Santos, L. O. B. da S., Moreira, D. de A., Correa, F. E., et al. (2025). Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development. Data Intelligence, 7( 2), 265-302. doi:10.3724/2096-7004.di.2025.0020
NLM
Soares FM, Saraiva AM, Pires LF, Santos LOB da S, Moreira D de A, Correa FE, Braghetto KR, Drucker DP, Delbem ACB. Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development [Internet]. Data Intelligence. 2025 ; 7( 2): 265-302.[citado 2025 jul. 08 ] Available from: https://doi.org/10.3724/2096-7004.di.2025.0020
Vancouver
Soares FM, Saraiva AM, Pires LF, Santos LOB da S, Moreira D de A, Correa FE, Braghetto KR, Drucker DP, Delbem ACB. Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development [Internet]. Data Intelligence. 2025 ; 7( 2): 265-302.[citado 2025 jul. 08 ] Available from: https://doi.org/10.3724/2096-7004.di.2025.0020
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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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1007/978-3-031-79029-4_3
Artigo de periodico
Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic (2025)
Finger, Marcelo ; Preto, Sandro
Source: Journal of Logic and Computation. Unidade: IME
Subjects: LÓGICA MATEMÁTICA, PROGRAMAÇÃO LINEAR
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ABNT
FINGER, Marcelo e PRETO, Sandro. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation, v. 35, n. 5, p. 1-15, 2025Tradução . . Disponível em: https://doi.org/10.1093/logcom/exad059. Acesso em: 08 jul. 2025.
APA
Finger, M., & Preto, S. (2025). Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation, 35( 5), 1-15. doi:10.1093/logcom/exad059
NLM
Finger M, Preto S. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic [Internet]. Journal of Logic and Computation. 2025 ; 35( 5): 1-15.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1093/logcom/exad059
Vancouver
Finger M, Preto S. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic [Internet]. Journal of Logic and Computation. 2025 ; 35( 5): 1-15.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1093/logcom/exad059
Trabalho de evento
MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling (2025)
Leal, Sidney Evaldo ; Candido Junior, Arnaldo ; Marcacini, Ricardo Marcondes ; Casanova, Edresson ; Gonçalves, Odilon; Soares, Anderson; Lima, Rodrigo; Gris, Lucas; Aluísio, Sandra Maria
Source: Proceedings. Conference titles: International Conference on Computational Linguistics - COLING. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, PORTUGUÊS DO BRASIL
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ABNT
LEAL, Sidney Evaldo et al. MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling. 2025, Anais.. Stroudsburg: ACL, 2025. Disponível em: https://aclanthology.org/2025.coling-main.407/. Acesso em: 08 jul. 2025.
APA
Leal, S. E., Candido Junior, A., Marcacini, R. M., Casanova, E., Gonçalves, O., Soares, A., et al. (2025). MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2025.coling-main.407/
NLM
Leal SE, Candido Junior A, Marcacini RM, Casanova E, Gonçalves O, Soares A, Lima R, Gris L, Aluísio SM. MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 jul. 08 ] Available from: https://aclanthology.org/2025.coling-main.407/
Vancouver
Leal SE, Candido Junior A, Marcacini RM, Casanova E, Gonçalves O, Soares A, Lima R, Gris L, Aluísio SM. MuPe Life Stories Dataset: spontaneous speech in brazilian portuguese with a case study evaluation on ASR bias against speakers groups and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 jul. 08 ] Available from: https://aclanthology.org/2025.coling-main.407/
Trabalho de evento-anais periodico
Evaluating state-of-the-art extractive summarization methods for brazilian portuguese (2025)
Jorge, Germano Antonio Zani; Bezerra, Davi Alves ; Castell, Clarissa; Pardo, Thiago Alexandre Salgueiro
Source: Lecture Notes in Computer Science. Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
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ABNT
JORGE, Germano Antonio Zani et al. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-80366-6. Acesso em: 08 jul. 2025. , 2025
APA
Jorge, G. A. Z., Bezerra, D. A., Castell, C., & Pardo, T. A. S. (2025). Evaluating state-of-the-art extractive summarization methods for brazilian portuguese. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-80366-6
NLM
Jorge GAZ, Bezerra DA, Castell C, Pardo TAS. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese [Internet]. Lecture Notes in Computer Science. 2025 ; 15277 510-514.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-80366-6
Vancouver
Jorge GAZ, Bezerra DA, Castell C, Pardo TAS. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese [Internet]. Lecture Notes in Computer Science. 2025 ; 15277 510-514.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-80366-6
Trabalho de evento-anais periodico
Investigating universal adversarial attacks against transformers-based automatic essay scoring systems (2025)
Silveira, Igor Cataneo ; Barbosa, André ; Costa, Daniel Silva Lopes da; Mauá, Denis Deratani
Source: Intelligent Systems. BRACIS 2024 Proceedings, Part II. Conference titles: Brazilian Conference - BRACIS 2024. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDAÇÃO
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ABNT
SILVEIRA, Igor Cataneo et al. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. Cham: Springer Nature. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_12. Acesso em: 08 jul. 2025. , 2025
APA
Silveira, I. C., Barbosa, A., Costa, D. S. L. da, & Mauá, D. D. (2025). Investigating universal adversarial attacks against transformers-based automatic essay scoring systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. Cham: Springer Nature. doi:10.1007/978-3-031-79032-4_12
NLM
Silveira IC, Barbosa A, Costa DSL da, Mauá DD. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems [Internet]. Intelligent Systems. BRACIS 2024 Proceedings, Part II. 2025 ;169-183.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12
Vancouver
Silveira IC, Barbosa A, Costa DSL da, Mauá DD. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems [Internet]. Intelligent Systems. BRACIS 2024 Proceedings, Part II. 2025 ;169-183.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12
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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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_9
Artigo de periodico
Proposta de algoritmo de classificação automática de papéis semânticos em português no âmbito do modelo Abstract Meaning Representation (2025)
Souza, Jackson Wilke da Cruz ; Semcovici, Pedro ; Pardo, Thiago Alexandre Salgueiro
Source: Texto Livre : Linguagem e Tecnologia. Unidades: ICMC, EACH
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, GRAMÁTICAS FORMAIS POR COMPUTADOR, SEMÂNTICA, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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ABNT
SOUZA, Jackson Wilke da Cruz e SEMCOVICI, Pedro e PARDO, Thiago Alexandre Salgueiro. Proposta de algoritmo de classificação automática de papéis semânticos em português no âmbito do modelo Abstract Meaning Representation. Texto Livre : Linguagem e Tecnologia, v. 18, p. 1-18, 2025Tradução . . Disponível em: https://doi.org/10.1590/1983-3652.2025.55346. Acesso em: 08 jul. 2025.
APA
Souza, J. W. da C., Semcovici, P., & Pardo, T. A. S. (2025). Proposta de algoritmo de classificação automática de papéis semânticos em português no âmbito do modelo Abstract Meaning Representation. Texto Livre : Linguagem e Tecnologia, 18, 1-18. doi:10.1590/1983-3652.2025.55346
NLM
Souza JW da C, Semcovici P, Pardo TAS. Proposta de algoritmo de classificação automática de papéis semânticos em português no âmbito do modelo Abstract Meaning Representation [Internet]. Texto Livre : Linguagem e Tecnologia. 2025 ; 18 1-18.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1590/1983-3652.2025.55346
Vancouver
Souza JW da C, Semcovici P, Pardo TAS. Proposta de algoritmo de classificação automática de papéis semânticos em português no âmbito do modelo Abstract Meaning Representation [Internet]. Texto Livre : Linguagem e Tecnologia. 2025 ; 18 1-18.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1590/1983-3652.2025.55346
Artigo de periodico
Issue detection and prioritization based on mobile application reviews (2025)
Lima, Vitor Mesaque Alves de ; Barbosa, Jacson Rodrigues ; Marcacini, Ricardo Marcondes
Source: Software Quality Journal. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ENGENHARIA DE SOFTWARE, APLICATIVOS MÓVEIS
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ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. Issue detection and prioritization based on mobile application reviews. Software Quality Journal, v. 33, n. 1, p. 1-35, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11219-024-09703-2. Acesso em: 08 jul. 2025.
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2025). Issue detection and prioritization based on mobile application reviews. Software Quality Journal, 33( 1), 1-35. doi:10.1007/s11219-024-09703-2
NLM
Lima VMA de, Barbosa JR, Marcacini RM. Issue detection and prioritization based on mobile application reviews [Internet]. Software Quality Journal. 2025 ; 33( 1): 1-35.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/s11219-024-09703-2
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. Issue detection and prioritization based on mobile application reviews [Internet]. Software Quality Journal. 2025 ; 33( 1): 1-35.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/s11219-024-09703-2
Trabalho de evento
SPIRA-BM: biomarkers for respiratory conditions by audio analysis via artificial intelligence (2025)
Finger, Marcelo ; Berti, Larissa Cristina ; Nakagawa, Elisa Yumi ; Carvalho, Celso R. F. ; Medeiros, Beatriz Raposo de ; Svartman, Flaviane Romani Fernandes ; Queiroz, Marcelo Gomes de ; Candido Junior, Arnaldo ; Gauy, Marcelo Matheus ; Gazzola, Murilo Gleyson ; Martins, Marcus Vinicius Moreira ; Scholz, Jaqueline; Ziotti, Sara
Source: Anais. Conference titles: Simpósio Brasileiro de Computação Aplicada à Saúde - SBCAS. Unidades: IME, ICMC, FM, FFLCH
Subjects: INTELIGÊNCIA ARTIFICIAL, BIOMARCADORES, INSUFICIÊNCIA RESPIRATÓRIA
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ABNT
FINGER, Marcelo et al. SPIRA-BM: biomarkers for respiratory conditions by audio analysis via artificial intelligence. 2025, Anais.. Porto Alegre: SBC, 2025. p. 997-1004. Disponível em: https://doi.org/10.5753/sbcas.2025.7147. Acesso em: 08 jul. 2025.
APA
Finger, M., Berti, L. C., Nakagawa, E. Y., Carvalho, C. R. F., Medeiros, B. R. de, Svartman, F. R. F., et al. (2025). SPIRA-BM: biomarkers for respiratory conditions by audio analysis via artificial intelligence. In Anais (p. 997-1004). Porto Alegre: SBC. doi:10.5753/sbcas.2025.7147
NLM
Finger M, Berti LC, Nakagawa EY, Carvalho CRF, Medeiros BR de, Svartman FRF, Queiroz MG de, Candido Junior A, Gauy MM, Gazzola MG, Martins MVM, Scholz J, Ziotti S. SPIRA-BM: biomarkers for respiratory conditions by audio analysis via artificial intelligence [Internet]. Anais. 2025 ; 997-1004.[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/sbcas.2025.7147
Vancouver
Finger M, Berti LC, Nakagawa EY, Carvalho CRF, Medeiros BR de, Svartman FRF, Queiroz MG de, Candido Junior A, Gauy MM, Gazzola MG, Martins MVM, Scholz J, Ziotti S. SPIRA-BM: biomarkers for respiratory conditions by audio analysis via artificial intelligence [Internet]. Anais. 2025 ; 997-1004.[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/sbcas.2025.7147
Trabalho de evento-anais periodico
Reinforcement learning with utility-based semantic for goals (2025)
Polar, Christian Delgado; Delgado, Karina Valdivia ; Silva, Valdinei Freire da
Source: Intelligent Systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. Conference titles: Brazilian Conference - BRACIS 2024. Unidades: EACH, IME
Subjects: PROCESSOS ESTOCÁSTICOS, PROCESSOS DE MARKOV, INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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ABNT
POLAR, Christian Delgado e DELGADO, Karina Valdivia e SILVA, Valdinei Freire da. Reinforcement learning with utility-based semantic for goals. Intelligent Systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. Cham: Springer Nature. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_25. Acesso em: 08 jul. 2025. , 2025
APA
Polar, C. D., Delgado, K. V., & Silva, V. F. da. (2025). Reinforcement learning with utility-based semantic for goals. Intelligent Systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. Cham: Springer Nature. doi:10.1007/978-3-031-79032-4_25
NLM
Polar CD, Delgado KV, Silva VF da. Reinforcement learning with utility-based semantic for goals [Internet]. Intelligent Systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. 2025 ; 354-369.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_25
Vancouver
Polar CD, Delgado KV, Silva VF da. Reinforcement learning with utility-based semantic for goals [Internet]. Intelligent Systems. Intelligent Systems. BRACIS 2024 Proceedings, Part II. 2025 ; 354-369.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_25
Artigo de periodico
One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication (2025)
Gôlo, Marcos Paulo Silva ; Medeiros Júnior, José Gilberto Barbosa de ; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
GÔLO, Marcos Paulo Silva et al. One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication. Information Sciences, v. 708, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2025.122060. Acesso em: 08 jul. 2025.
APA
Gôlo, M. P. S., Medeiros Júnior, J. G. B. de, Silva, D. F., & Marcacini, R. M. (2025). One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication. Information Sciences, 708, 1-17. doi:10.1016/j.ins.2025.122060
NLM
Gôlo MPS, Medeiros Júnior JGB de, Silva DF, Marcacini RM. One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication [Internet]. Information Sciences. 2025 ; 708 1-17.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1016/j.ins.2025.122060
Vancouver
Gôlo MPS, Medeiros Júnior JGB de, Silva DF, Marcacini RM. One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication [Internet]. Information Sciences. 2025 ; 708 1-17.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1016/j.ins.2025.122060
Artigo de periodico
How do financial time series enhance the detection of news significance in market movements?: A study using graph neural networks with heterogeneous representations (2025)
Reis Filho, Ivan José dos ; Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Neural Computing and Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MERCADO FINANCEIRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS FILHO, Ivan José dos et al. How do financial time series enhance the detection of news significance in market movements?: A study using graph neural networks with heterogeneous representations. Neural Computing and Applications, v. 37, n. Ja 2025, p. 1307-1319, 2025Tradução . . Disponível em: https://doi.org/10.1007/s00521-024-10418-5. Acesso em: 08 jul. 2025.
APA
Reis Filho, I. J. dos, Gôlo, M. P. S., Marcacini, R. M., & Rezende, S. O. (2025). How do financial time series enhance the detection of news significance in market movements?: A study using graph neural networks with heterogeneous representations. Neural Computing and Applications, 37( Ja 2025), 1307-1319. doi:10.1007/s00521-024-10418-5
NLM
Reis Filho IJ dos, Gôlo MPS, Marcacini RM, Rezende SO. How do financial time series enhance the detection of news significance in market movements?: A study using graph neural networks with heterogeneous representations [Internet]. Neural Computing and Applications. 2025 ; 37( Ja 2025): 1307-1319.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/s00521-024-10418-5
Vancouver
Reis Filho IJ dos, Gôlo MPS, Marcacini RM, Rezende SO. How do financial time series enhance the detection of news significance in market movements?: A study using graph neural networks with heterogeneous representations [Internet]. Neural Computing and Applications. 2025 ; 37( Ja 2025): 1307-1319.[citado 2025 jul. 08 ] Available from: https://doi.org/10.1007/s00521-024-10418-5
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15
Trabalho de evento
Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models (2024)
Galdino, Julio Cesar ; Araújo, Gustavo Evangelista ; Candido Junior, Arnaldo ; Oliveira Junior, Miguel Jose Alves De ; Ponti, Moacir Antonelli ; Aluísio, Sandra Maria
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, SÍNTESE DE FALA, PROSÓDIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALDINO, Julio Cesar et al. Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/eniac.2024.245092. Acesso em: 08 jul. 2025.
APA
Galdino, J. C., Araújo, G. E., Candido Junior, A., Oliveira Junior, M. J. A. D., Ponti, M. A., & Aluísio, S. M. (2024). Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2024.245092
NLM
Galdino JC, Araújo GE, Candido Junior A, Oliveira Junior MJAD, Ponti MA, Aluísio SM. Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models [Internet]. Anais. 2024 ;[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/eniac.2024.245092
Vancouver
Galdino JC, Araújo GE, Candido Junior A, Oliveira Junior MJAD, Ponti MA, Aluísio SM. Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models [Internet]. Anais. 2024 ;[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/eniac.2024.245092
Trabalho de evento
Syntactic parsing: where are we going? (2024)
Lopes, Lucelene ; Pardo, Thiago Alexandre Salgueiro ; Duran, Magali Sanches
Source: Anais. Conference titles: Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana - STIL. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, ANÁLISE SINTÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucelene e PARDO, Thiago Alexandre Salgueiro e DURAN, Magali Sanches. Syntactic parsing: where are we going? 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/stil.2024.245043. Acesso em: 08 jul. 2025.
APA
Lopes, L., Pardo, T. A. S., & Duran, M. S. (2024). Syntactic parsing: where are we going? In Anais. Porto Alegre: SBC. doi:10.5753/stil.2024.245043
NLM
Lopes L, Pardo TAS, Duran MS. Syntactic parsing: where are we going? [Internet]. Anais. 2024 ;[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/stil.2024.245043
Vancouver
Lopes L, Pardo TAS, Duran MS. Syntactic parsing: where are we going? [Internet]. Anais. 2024 ;[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/stil.2024.245043
Trabalho de evento
Desambiguação de lema e atributos morfológicos na anotação do córpus Porttinari-base (2024)
Lopes, Lucelene ; Duran, Magali Sanches ; Pardo, Thiago Alexandre Salgueiro
Source: Anais. Conference titles: Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana - STIL. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
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. Desambiguação de lema e atributos morfológicos na anotação do córpus Porttinari-base. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/stil.2024.245213. Acesso em: 08 jul. 2025.
APA
Lopes, L., Duran, M. S., & Pardo, T. A. S. (2024). Desambiguação de lema e atributos morfológicos na anotação do córpus Porttinari-base. In Anais. Porto Alegre: SBC. doi:10.5753/stil.2024.245213
NLM
Lopes L, Duran MS, Pardo TAS. Desambiguação de lema e atributos morfológicos na anotação do córpus Porttinari-base [Internet]. Anais. 2024 ;[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/stil.2024.245213
Vancouver
Lopes L, Duran MS, Pardo TAS. Desambiguação de lema e atributos morfológicos na anotação do córpus Porttinari-base [Internet]. Anais. 2024 ;[citado 2025 jul. 08 ] Available from: https://doi.org/10.5753/stil.2024.245213

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