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Artigo de periodico
A data-driven method for water quality analysis and prediction for localized irrigation (2024)
Silva, Roberto Fray da ; Benso, Marcos Roberto ; Correa, Fernando Elias ; Messias, Tâmara Guindo ; Mendonça, Fernando Campos ; Marques, Patricia Angélica Alves ; Duarte, Sergio Nascimento ; Mendiondo, Eduardo Mario ; Delbem, Alexandre Cláudio Botazzo ; Saraiva, Antonio Mauro
Source: AgriEngineering. Unidades: ESALQ, EESC, ICMC, EP, IEA
Subjects: APRENDIZADO COMPUTACIONAL, ESTUDO DE CASO, IRRIGAÇÃO, QUALIDADE DA ÁGUA
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SILVA, Roberto Fray da et al. A data-driven method for water quality analysis and prediction for localized irrigation. AgriEngineering, v. 6, n. 2, p. 1771-1793, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6020103. Acesso em: 13 jul. 2024.
APA
Silva, R. F. da, Benso, M. R., Correa, F. E., Messias, T. G., Mendonça, F. C., Marques, P. A. A., et al. (2024). A data-driven method for water quality analysis and prediction for localized irrigation. AgriEngineering, 6( 2), 1771-1793. doi:10.3390/agriengineering6020103
NLM
Silva RF da, Benso MR, Correa FE, Messias TG, Mendonça FC, Marques PAA, Duarte SN, Mendiondo EM, Delbem ACB, Saraiva AM. A data-driven method for water quality analysis and prediction for localized irrigation [Internet]. AgriEngineering. 2024 ; 6( 2): 1771-1793.[citado 2024 jul. 13 ] Available from: https://doi.org/10.3390/agriengineering6020103
Vancouver
Silva RF da, Benso MR, Correa FE, Messias TG, Mendonça FC, Marques PAA, Duarte SN, Mendiondo EM, Delbem ACB, Saraiva AM. A data-driven method for water quality analysis and prediction for localized irrigation [Internet]. AgriEngineering. 2024 ; 6( 2): 1771-1793.[citado 2024 jul. 13 ] Available from: https://doi.org/10.3390/agriengineering6020103
Artigo de periodico
Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks (2024)
Valejo, Alan Demetrius Baria ; Althoff, Paulo Eduardo ; Faleiros, Thiago de Paulo ; Rocha Filho, Geraldo Pereira ; Yu-Tao, Zhu ; Jianglong, Yan; Weiguang, Liu; Liang, Zhao
Source: IEEE Transactions on Network Science and Engineering. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES COMPLEXAS
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VALEJO, Alan Demetrius Baria et al. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, v. 11, n. 2, p. 1799-1809, 2024Tradução . . Disponível em: https://doi.org/10.1109/TNSE.2023.3331655. Acesso em: 13 jul. 2024.
APA
Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Rocha Filho, G. P., Yu-Tao, Z., Jianglong, Y., et al. (2024). Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, 11( 2), 1799-1809. doi:10.1109/TNSE.2023.3331655
NLM
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 jul. 13 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Vancouver
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 jul. 13 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Trabalho de evento
Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech (2024)
Craveiro, Giovana Meloni; Santos, Vinícius Gonçalves dos ; Dalalana, Gabriel José Pellisser ; Svartman, Flaviane Romani Fernandes ; Aluísio, Sandra Maria
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidades: FFLCH, ICMC, EESC
Subjects: SÍNTESE DE FALA, APRENDIZADO COMPUTACIONAL, CORPUS, HEURÍSTICA, PORTUGUÊS DO BRASIL
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CRAVEIRO, Giovana Meloni et al. Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.4/. Acesso em: 13 jul. 2024.
APA
Craveiro, G. M., Santos, V. G. dos, Dalalana, G. J. P., Svartman, F. R. F., & Aluísio, S. M. (2024). Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.4/
NLM
Craveiro GM, Santos VG dos, Dalalana GJP, Svartman FRF, Aluísio SM. Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.4/
Vancouver
Craveiro GM, Santos VG dos, Dalalana GJP, Svartman FRF, Aluísio SM. Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.4/
Trabalho de evento
Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language (2024)
Rodrigues, Ana Carolina; Macedo, Alessandra Alaniz ; Candido Junior, Arnaldo ; Svartman, Flaviane Romani Fernandes ; Craveiro, Giovana Meloni; Leite, Marli Quadros ; Aluísio, Sandra Maria ; Santos, Vinícius Gonçalves dos ; Garcia, Vinícius Molina
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidades: FFCLRP, FFLCH, ICMC
Subjects: CORPUS, SÍNTESE DE FALA, PROSÓDIA, PORTUGUÊS DO BRASIL
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RODRIGUES, Ana Carolina et al. Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.19. Acesso em: 13 jul. 2024.
APA
Rodrigues, A. C., Macedo, A. A., Candido Junior, A., Svartman, F. R. F., Craveiro, G. M., Leite, M. Q., et al. (2024). Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.19
NLM
Rodrigues AC, Macedo AA, Candido Junior A, Svartman FRF, Craveiro GM, Leite MQ, Aluísio SM, Santos VG dos, Garcia VM. Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.19
Vancouver
Rodrigues AC, Macedo AA, Candido Junior A, Svartman FRF, Craveiro GM, Leite MQ, Aluísio SM, Santos VG dos, Garcia VM. Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.19
Artigo de periodico
Dataset: annotated soybean market news articles (2024)
Reis Filho, Ivan José dos ; Coleti, Jamille de Campos; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Data in Brief. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, MERCADO AGRÍCOLA
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REIS FILHO, Ivan José dos et al. Dataset: annotated soybean market news articles. Data in Brief, v. 55, p. 1-9, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.dib.2024.110545. Acesso em: 13 jul. 2024.
APA
Reis Filho, I. J. dos, Coleti, J. de C., Marcacini, R. M., & Rezende, S. O. (2024). Dataset: annotated soybean market news articles. Data in Brief, 55, 1-9. doi:10.1016/j.dib.2024.110545
NLM
Reis Filho IJ dos, Coleti J de C, Marcacini RM, Rezende SO. Dataset: annotated soybean market news articles [Internet]. Data in Brief. 2024 ; 55 1-9.[citado 2024 jul. 13 ] Available from: https://doi.org/10.1016/j.dib.2024.110545
Vancouver
Reis Filho IJ dos, Coleti J de C, Marcacini RM, Rezende SO. Dataset: annotated soybean market news articles [Internet]. Data in Brief. 2024 ; 55 1-9.[citado 2024 jul. 13 ] Available from: https://doi.org/10.1016/j.dib.2024.110545
Trabalho de evento
Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets (2024)
Matos, Ariadne Nascimento ; Araújo, Gustavo Evangelista; Candido Junior, Arnaldo ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, PROSÓDIA, PORTUGUÊS DO BRASIL
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MATOS, Ariadne Nascimento et al. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.37. Acesso em: 13 jul. 2024.
APA
Matos, A. N., Araújo, G. E., Candido Junior, A., & Ponti, M. A. (2024). Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.37
NLM
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.37
Vancouver
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.37
Trabalho de evento
Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus (2024)
Serras, Felipe Ribas ; Sturzeneker, Mariana Lourenço ; Carpi, Miguel de Mello ; Palma, Mayara Feliciano ; Crespo, Maria Clara Ramos Morales ; Costa, Aline Silva ; Monte, Vanessa Martins do ; Namiuti, Cristiane ; Sousa, Maria Clara Paixão de ; Finger, Marcelo
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidades: FFLCH, IME
Subjects: LINGUÍSTICA DE CORPUS, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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SERRAS, Felipe Ribas et al. Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.26. Acesso em: 13 jul. 2024.
APA
Serras, F. R., Sturzeneker, M. L., Carpi, M. de M., Palma, M. F., Crespo, M. C. R. M., Costa, A. S., et al. (2024). Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.26
NLM
Serras FR, Sturzeneker ML, Carpi M de M, Palma MF, Crespo MCRM, Costa AS, Monte VM do, Namiuti C, Sousa MCP de, Finger M. Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.26
Vancouver
Serras FR, Sturzeneker ML, Carpi M de M, Palma MF, Crespo MCRM, Costa AS, Monte VM do, Namiuti C, Sousa MCP de, Finger M. Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.26
Trabalho de evento
Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework (2024)
Lopes, Lucelene ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, ANÁLISE DE TEXTO, LINGUÍSTICA DE CORPUS, PORTUGUÊS DO BRASIL
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LOPES, Lucelene e PARDO, Thiago Alexandre Salgueiro. Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.41. Acesso em: 13 jul. 2024.
APA
Lopes, L., & Pardo, T. A. S. (2024). Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.41
NLM
Lopes L, Pardo TAS. Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.41
Vancouver
Lopes L, Pardo TAS. Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.41
Trabalho de evento
TTS applied to the generation of datasets for automatic speech recognition (2024)
Casanova, Edresson ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, APRENDIZAGEM PROFUNDA, PORTUGUÊS DO BRASIL
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ABNT
CASANOVA, Edresson e ALUÍSIO, Sandra Maria e PONTI, Moacir Antonelli. TTS applied to the generation of datasets for automatic speech recognition. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.73. Acesso em: 13 jul. 2024.
APA
Casanova, E., Aluísio, S. M., & Ponti, M. A. (2024). TTS applied to the generation of datasets for automatic speech recognition. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.73
NLM
Casanova E, Aluísio SM, Ponti MA. TTS applied to the generation of datasets for automatic speech recognition [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.73
Vancouver
Casanova E, Aluísio SM, Ponti MA. TTS applied to the generation of datasets for automatic speech recognition [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-1.73
Artigo de periodico
The impact of representation learning on unsupervised graph neural networks for one-class recommendation (2024)
Gôlo, Marcos Paulo Silva ; Moraes, Leonardo Gonçalves de ; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS
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GÔLO, Marcos Paulo Silva et al. The impact of representation learning on unsupervised graph neural networks for one-class recommendation. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 112-122, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3317. Acesso em: 13 jul. 2024.
APA
Gôlo, M. P. S., Moraes, L. G. de, Goularte, R., & Marcacini, R. M. (2024). The impact of representation learning on unsupervised graph neural networks for one-class recommendation. Journal of Information and Data Management - JIDM, 15( 1), 112-122. doi:10.5753/jidm.2024.3317
NLM
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. The impact of representation learning on unsupervised graph neural networks for one-class recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 112-122.[citado 2024 jul. 13 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Vancouver
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. The impact of representation learning on unsupervised graph neural networks for one-class recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 112-122.[citado 2024 jul. 13 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Trabalho de evento
Grammar induction for brazilian indigenous languages (2024)
Silva, Diego Pedro Gonçalves da ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, GRAMÁTICAS FORMAIS POR COMPUTADOR, LÍNGUAS INDÍGENAS
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ABNT
SILVA, Diego Pedro Gonçalves da e PARDO, Thiago Alexandre Salgueiro. Grammar induction for brazilian indigenous languages. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-2.10. Acesso em: 13 jul. 2024.
APA
Silva, D. P. G. da, & Pardo, T. A. S. (2024). Grammar induction for brazilian indigenous languages. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-2.10
NLM
Silva DPG da, Pardo TAS. Grammar induction for brazilian indigenous languages [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-2.10
Vancouver
Silva DPG da, Pardo TAS. Grammar induction for brazilian indigenous languages [Internet]. Proceedings. 2024 ;[citado 2024 jul. 13 ] Available from: https://aclanthology.org/2024.propor-2.10
Trabalho de evento
Linking Łukasiewicz logic and boolean maximum satisfiability (2023)
Preto, Sandro ; Manyà, Felip ; Finger, Marcelo
Source: Proceedings. Conference titles: International Symposium on Multiple-Valued Logic - ISMVL. Unidade: IME
Subjects: COMPUTABILIDADE E COMPLEXIDADE, LÓGICA
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ABNT
PRETO, Sandro e MANYÀ, Felip e FINGER, Marcelo. Linking Łukasiewicz logic and boolean maximum satisfiability. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ISMVL57333.2023.00040. Acesso em: 13 jul. 2024.
APA
Preto, S., Manyà, F., & Finger, M. (2023). Linking Łukasiewicz logic and boolean maximum satisfiability. In Proceedings. Piscataway: IEEE. doi:10.1109/ISMVL57333.2023.00040
NLM
Preto S, Manyà F, Finger M. Linking Łukasiewicz logic and boolean maximum satisfiability [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1109/ISMVL57333.2023.00040
Vancouver
Preto S, Manyà F, Finger M. Linking Łukasiewicz logic and boolean maximum satisfiability [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1109/ISMVL57333.2023.00040
Trabalho de evento
TransGNN: a transductive graph neural network with graph dynamic embedding (2023)
Anghinoni, Leandro ; Yu-Tao, Zhu; Donghong, Ji; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
ANGHINONI, Leandro et al. TransGNN: a transductive graph neural network with graph dynamic embedding. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191134. Acesso em: 13 jul. 2024.
APA
Anghinoni, L., Yu-Tao, Z., Donghong, J., & Liang, Z. (2023). TransGNN: a transductive graph neural network with graph dynamic embedding. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191134
NLM
Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
Vancouver
Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
Trabalho de evento-anais periodico
Specifying credal sets with probabilistic answer set programming (2023)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: Proceedings of Machine Learning Research. Conference titles: International Symposium on Imprecise Probability: Theories and Applications - ISIPTA. Unidades: IME, EP
Assunto: PROGRAMAÇÃO LÓGICA
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ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. Specifying credal sets with probabilistic answer set programming. Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://proceedings.mlr.press/v215/maua23a/maua23a.pdf. Acesso em: 13 jul. 2024. , 2023
APA
Mauá, D. D., & Cozman, F. G. (2023). Specifying credal sets with probabilistic answer set programming. Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://proceedings.mlr.press/v215/maua23a/maua23a.pdf
NLM
Mauá DD, Cozman FG. Specifying credal sets with probabilistic answer set programming [Internet]. Proceedings of Machine Learning Research. 2023 ; 215 321-332.[citado 2024 jul. 13 ] Available from: https://proceedings.mlr.press/v215/maua23a/maua23a.pdf
Vancouver
Mauá DD, Cozman FG. Specifying credal sets with probabilistic answer set programming [Internet]. Proceedings of Machine Learning Research. 2023 ; 215 321-332.[citado 2024 jul. 13 ] Available from: https://proceedings.mlr.press/v215/maua23a/maua23a.pdf
Trabalho de evento
Data stratification analysis on the propagation of discriminatory effects in binary classification (2023)
Minatel, Diego ; Silva, Angelo Cesar Mendes da ; Santos, Nícolas Roque dos; Cúri, Mariana ; Marcacini, Ricardo Marcondes ; Lopes, Alneu de Andrade
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMILE. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DISCRIMINAÇÃO, JUSTIÇA
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ABNT
MINATEL, Diego et al. Data stratification analysis on the propagation of discriminatory effects in binary classification. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/kdmile.2023.232582. Acesso em: 13 jul. 2024.
APA
Minatel, D., Silva, A. C. M. da, Santos, N. R. dos, Cúri, M., Marcacini, R. M., & Lopes, A. de A. (2023). Data stratification analysis on the propagation of discriminatory effects in binary classification. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2023.232582
NLM
Minatel D, Silva ACM da, Santos NR dos, Cúri M, Marcacini RM, Lopes A de A. Data stratification analysis on the propagation of discriminatory effects in binary classification [Internet]. Anais. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.5753/kdmile.2023.232582
Vancouver
Minatel D, Silva ACM da, Santos NR dos, Cúri M, Marcacini RM, Lopes A de A. Data stratification analysis on the propagation of discriminatory effects in binary classification [Internet]. Anais. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.5753/kdmile.2023.232582
Artigo de periodico
Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic (2023)
Finger, Marcelo ; Preto, Sandro
Source: Journal of Logic and Computation. Unidade: IME
Subjects: LÓGICA MATEMÁTICA, PROGRAMAÇÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FINGER, Marcelo e PRETO, Sandro. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation, 2023Tradução . . Disponível em: https://doi.org/10.1093/logcom/exad059. Acesso em: 13 jul. 2024.
APA
Finger, M., & Preto, S. (2023). Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation. 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. 2023 ;[citado 2024 jul. 13 ] 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. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1093/logcom/exad059
Trabalho de evento
Classification of coma etiology using convolutional neural networks and long-short term memory networks (2023)
Baldo Júnior, Sérgio ; Carneiro, Murillo Guimarães; Destro-Filho, João Batista; Zhao, Liang ; Tinós, Renato
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: FFCLRP
Subjects: ELETROENCEFALOGRAFIA, COMA, APRENDIZAGEM PROFUNDA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BALDO JÚNIOR, Sérgio et al. Classification of coma etiology using convolutional neural networks and long-short term memory networks. 2023, Anais.. Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. Disponível em: https://confcats-siteplex.s3.us-east-1.amazonaws.com/ijcnn23/IJCNN_2023_Programpdf_b9b6517337.pdf. Acesso em: 13 jul. 2024.
APA
Baldo Júnior, S., Carneiro, M. G., Destro-Filho, J. B., Zhao, L., & Tinós, R. (2023). Classification of coma etiology using convolutional neural networks and long-short term memory networks. In Proceedings. Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://confcats-siteplex.s3.us-east-1.amazonaws.com/ijcnn23/IJCNN_2023_Programpdf_b9b6517337.pdf
NLM
Baldo Júnior S, Carneiro MG, Destro-Filho JB, Zhao L, Tinós R. Classification of coma etiology using convolutional neural networks and long-short term memory networks [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://confcats-siteplex.s3.us-east-1.amazonaws.com/ijcnn23/IJCNN_2023_Programpdf_b9b6517337.pdf
Vancouver
Baldo Júnior S, Carneiro MG, Destro-Filho JB, Zhao L, Tinós R. Classification of coma etiology using convolutional neural networks and long-short term memory networks [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://confcats-siteplex.s3.us-east-1.amazonaws.com/ijcnn23/IJCNN_2023_Programpdf_b9b6517337.pdf
Trabalho de evento
Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese (2023)
Gauy, Marcelo Matheus ; Berti, Larissa Cristina ; Candido Junior, Arnaldo ; Camargo Neto, Augusto César de; Goldman, Alfredo ; Levin, Anna Sara ; Martins, Marcus Vinícius Moreira ; Medeiros, Beatriz Raposo de ; Queiroz, Marcelo Gomes de ; Sabino, Ester Cerdeira ; Svartman, Flaviane Fernandes ; Finger, Marcelo
Source: Proceedings. Conference titles: International Conference on Artificial Intelligence in Medicine - AIME. Unidades: IME, FM, FFLCH
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZAGEM PROFUNDA, INSUFICIÊNCIA RESPIRATÓRIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAUY, Marcelo Matheus et al. Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-34344-5_32. Acesso em: 13 jul. 2024.
APA
Gauy, M. M., Berti, L. C., Candido Junior, A., Camargo Neto, A. C. de, Goldman, A., Levin, A. S., et al. (2023). Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-34344-5_32
NLM
Gauy MM, Berti LC, Candido Junior A, Camargo Neto AC de, Goldman A, Levin AS, Martins MVM, Medeiros BR de, Queiroz MG de, Sabino EC, Svartman FF, Finger M. Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1007/978-3-031-34344-5_32
Vancouver
Gauy MM, Berti LC, Candido Junior A, Camargo Neto AC de, Goldman A, Levin AS, Martins MVM, Medeiros BR de, Queiroz MG de, Sabino EC, Svartman FF, Finger M. Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese [Internet]. Proceedings. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1007/978-3-031-34344-5_32
Trabalho de evento
Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks (2023)
Rocha, Victor Hugo Nascimento ; Silveira, Igor Cataneo ; Pirozelli, Paulo ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Unidades: IME, EP, IEA
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, ARGUMENTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Victor Hugo Nascimento et al. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-49008-8_34. Acesso em: 13 jul. 2024.
APA
Rocha, V. H. N., Silveira, I. C., Pirozelli, P., Mauá, D. D., & Cozman, F. G. (2023). Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks. In . Cham: Springer. doi:10.1007/978-3-031-49008-8_34
NLM
Rocha VHN, Silveira IC, Pirozelli P, Mauá DD, Cozman FG. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks [Internet]. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1007/978-3-031-49008-8_34
Vancouver
Rocha VHN, Silveira IC, Pirozelli P, Mauá DD, Cozman FG. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks [Internet]. 2023 ;[citado 2024 jul. 13 ] Available from: https://doi.org/10.1007/978-3-031-49008-8_34
Artigo de periodico
Integrative systems immunology uncovers molecular networks of the cell cycle that stratify COVID-19 severity (2023)
Prado, Caroline Aliane De Souza ; Fonseca, Dennyson Leandro Mathias da ; Singh, Youvika ; Filgueiras, Igor Salerno ; Baiocchi, Gabriela Crispim ; Plaça, Desirée Rodrigues ; Marques, Alexandre Henrique Carvalho ; Dantas-Komatsu, Raquel Costa Silva ; Usuda, Julia N. ; Freire, Paula Paccielli ; Salgado, Ranieri Coelho ; Napoleão, Sarah Maria da Silva ; Ramos, Rodrigo Nalio ; Rocha, Vanderson ; Guangyan Zhou; Catar, Rusan ; Guido Moll ; Giil, Lasse M. ; Mishra, Neha ; Tran, Florian ; Luchessi, Andre Ducati ; Ochs, Hans Dieter ; Igor Jurisica, Igor ; Schimke, Lena F. ; Câmara, Niels Olsen Saraiva ; Miranda, Gustavo Cabral de ; Calich, Vera Lúcia Garcia ; Nakaya, Helder Takashi Imoto ; Marques, Otavio Cabral
Source: Journal of Medical Virology. Unidades: ICB, BIOTECNOLOGIA, FCF, BIOINFORMÁTICA
Subjects: IMUNOLOGIA, IMUNOLOGIA, COVID-19, CICLO CELULAR, PROTEÔMICA, LEUCÓCITOS, NEUTRÓFILOS, IMUNOPROTEÍNAS, PROTEÍNAS QUINASES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRADO, Caroline Aliane De Souza et al. Integrative systems immunology uncovers molecular networks of the cell cycle that stratify COVID-19 severity. Journal of Medical Virology, v. 95, n. 2, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1002/jmv.28450. Acesso em: 13 jul. 2024.
APA
Prado, C. A. D. S., Fonseca, D. L. M. da, Singh, Y., Filgueiras, I. S., Baiocchi, G. C., Plaça, D. R., et al. (2023). Integrative systems immunology uncovers molecular networks of the cell cycle that stratify COVID-19 severity. Journal of Medical Virology, 95( 2), 1-18. doi:10.1002/jmv.28450
NLM
Prado CADS, Fonseca DLM da, Singh Y, Filgueiras IS, Baiocchi GC, Plaça DR, Marques AHC, Dantas-Komatsu RCS, Usuda JN, Freire PP, Salgado RC, Napoleão SM da S, Ramos RN, Rocha V, Guangyan Zhou, Catar R, Guido Moll, Giil LM, Mishra N, Tran F, Luchessi AD, Ochs HD, Igor Jurisica I, Schimke LF, Câmara NOS, Miranda GC de, Calich VLG, Nakaya HTI, Marques OC. Integrative systems immunology uncovers molecular networks of the cell cycle that stratify COVID-19 severity [Internet]. Journal of Medical Virology. 2023 ; 95( 2): 1-18.[citado 2024 jul. 13 ] Available from: https://doi.org/10.1002/jmv.28450
Vancouver
Prado CADS, Fonseca DLM da, Singh Y, Filgueiras IS, Baiocchi GC, Plaça DR, Marques AHC, Dantas-Komatsu RCS, Usuda JN, Freire PP, Salgado RC, Napoleão SM da S, Ramos RN, Rocha V, Guangyan Zhou, Catar R, Guido Moll, Giil LM, Mishra N, Tran F, Luchessi AD, Ochs HD, Igor Jurisica I, Schimke LF, Câmara NOS, Miranda GC de, Calich VLG, Nakaya HTI, Marques OC. Integrative systems immunology uncovers molecular networks of the cell cycle that stratify COVID-19 severity [Internet]. Journal of Medical Virology. 2023 ; 95( 2): 1-18.[citado 2024 jul. 13 ] Available from: https://doi.org/10.1002/jmv.28450

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