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Trabalho de evento
Separating path systems in complete graphs (2024)
Fernandes, Cristina Gomes ; Mota, Guilherme Oliveira ; Sanhueza-Matamala, Nicolás
Source: Proceedings. Conference titles: Latin American Symposium on Theoretical Informatics - LATIN. Unidade: IME
Assunto: TEORIA DOS GRAFOS
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ABNT
FERNANDES, Cristina Gomes e MOTA, Guilherme Oliveira e SANHUEZA-MATAMALA, Nicolás. Separating path systems in complete graphs. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-55601-2_7. Acesso em: 15 jul. 2024.
APA
Fernandes, C. G., Mota, G. O., & Sanhueza-Matamala, N. (2024). Separating path systems in complete graphs. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-55601-2_7
NLM
Fernandes CG, Mota GO, Sanhueza-Matamala N. Separating path systems in complete graphs [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-55601-2_7
Vancouver
Fernandes CG, Mota GO, Sanhueza-Matamala N. Separating path systems in complete graphs [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-55601-2_7
Trabalho de evento
PROPOR'24 competition on automatic essay scoring of Portuguese narrative essays (2024)
Mello, Rafael Ferreira ; Oliveira, Hilário ; Wenceslau, Moésio ; Batista, Hyan ; Cordeiro, Thiago Damasceno ; Pinto, Ig Ibert Bittencourt Santana ; Isotani, Seiji
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese. Unidade: ICMC
Subjects: MODALIDADE (LINGUAGEM), LÍNGUA PORTUGUESA, AVALIAÇÃO DA LINGUAGEM, ANÁLISE DE DESEMPENHO
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ABNT
MELLO, Rafael Ferreira et al. PROPOR'24 competition on automatic essay scoring of Portuguese narrative essays. 2024, Anais.. Santiago de Compostela: Association for Computational Lingustics, 2024. Disponível em: https://aclanthology.org/2024.propor-2.1. Acesso em: 15 jul. 2024.
APA
Mello, R. F., Oliveira, H., Wenceslau, M., Batista, H., Cordeiro, T. D., Pinto, I. I. B. S., & Isotani, S. (2024). PROPOR'24 competition on automatic essay scoring of Portuguese narrative essays. In Proceedings. Santiago de Compostela: Association for Computational Lingustics. Recuperado de https://aclanthology.org/2024.propor-2.1
NLM
Mello RF, Oliveira H, Wenceslau M, Batista H, Cordeiro TD, Pinto IIBS, Isotani S. PROPOR'24 competition on automatic essay scoring of Portuguese narrative essays [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://aclanthology.org/2024.propor-2.1
Vancouver
Mello RF, Oliveira H, Wenceslau M, Batista H, Cordeiro TD, Pinto IIBS, Isotani S. PROPOR'24 competition on automatic essay scoring of Portuguese narrative essays [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://aclanthology.org/2024.propor-2.1
Trabalho de evento
Detection and tracking of multiple vehicles using semantic information (2024)
Reyna, Ana Rosalia Huaman ; Farfan, Alex Josue Florez ; Ferrante, Gabriel Souto ; Rocha Filho, Geraldo Pereira ; Nakamura, Luis Hideo Vasconcelos ; Meneguette, Rodolfo Ipolito
Source: Proceedings. Conference titles: IEEE Southwest Symposium on Image Analysis and Interpretation - SSIAI. Unidade: ICMC
Subjects: RASTREAMENTO, VEÍCULOS, SEGURANÇA NO TRÂNSITO, ALGORITMOS
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ABNT
REYNA, Ana Rosalia Huaman et al. Detection and tracking of multiple vehicles using semantic information. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/SSIAI59505.2024.10508700. Acesso em: 15 jul. 2024.
APA
Reyna, A. R. H., Farfan, A. J. F., Ferrante, G. S., Rocha Filho, G. P., Nakamura, L. H. V., & Meneguette, R. I. (2024). Detection and tracking of multiple vehicles using semantic information. In Proceedings. Piscataway: IEEE. doi:10.1109/SSIAI59505.2024.10508700
NLM
Reyna ARH, Farfan AJF, Ferrante GS, Rocha Filho GP, Nakamura LHV, Meneguette RI. Detection and tracking of multiple vehicles using semantic information [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1109/SSIAI59505.2024.10508700
Vancouver
Reyna ARH, Farfan AJF, Ferrante GS, Rocha Filho GP, Nakamura LHV, Meneguette RI. Detection and tracking of multiple vehicles using semantic information [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1109/SSIAI59505.2024.10508700
Trabalho de evento-resumo
Beauty in complexity: a methodological approach to map complex research systems to the Sustainable Development Goals : analysis of CIRAD publications (2024)
Paletta, Francisco Carlos ; Gonzalez Aguilar, Audilio ; Vallejo-Echavarría, Juan Camilo
Source: Proceedings. Conference titles: French Regional Conference on Complex Systems. Unidade: ECA
Subjects: BIBLIOMETRIA, PESQUISA CIENTÍFICA, ANÁLISE DE DADOS, DESENVOLVIMENTO SUSTENTÁVEL, AGRICULTURA
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ABNT
PALETTA, Francisco Carlos e GONZALEZ AGUILAR, Audilio e VALLEJO-ECHAVARRÍA, Juan Camilo. Beauty in complexity: a methodological approach to map complex research systems to the Sustainable Development Goals : analysis of CIRAD publications. 2024, Anais.. Montpellier: Escola de Comunicações e Artes, Universidade de São Paulo, 2024. Disponível em: https://www.eca.usp.br/acervo/producao-academica/003197474.pdf. Acesso em: 15 jul. 2024.
APA
Paletta, F. C., Gonzalez Aguilar, A., & Vallejo-Echavarría, J. C. (2024). Beauty in complexity: a methodological approach to map complex research systems to the Sustainable Development Goals : analysis of CIRAD publications. In Proceedings. Montpellier: Escola de Comunicações e Artes, Universidade de São Paulo. Recuperado de https://www.eca.usp.br/acervo/producao-academica/003197474.pdf
NLM
Paletta FC, Gonzalez Aguilar A, Vallejo-Echavarría JC. Beauty in complexity: a methodological approach to map complex research systems to the Sustainable Development Goals : analysis of CIRAD publications [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://www.eca.usp.br/acervo/producao-academica/003197474.pdf
Vancouver
Paletta FC, Gonzalez Aguilar A, Vallejo-Echavarría JC. Beauty in complexity: a methodological approach to map complex research systems to the Sustainable Development Goals : analysis of CIRAD publications [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://www.eca.usp.br/acervo/producao-academica/003197474.pdf
Trabalho de evento
KluSIM: speeding up k-medoids clustering over dimensional data with metric access method (2024)
Teixeira, Larissa Roberta ; Eleutério, Igor Alberte Rodrigues ; Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
TEIXEIRA, Larissa Roberta et al. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012599900003690. Acesso em: 15 jul. 2024.
APA
Teixeira, L. R., Eleutério, I. A. R., Cazzolato, M. T., Gutierrez, M. A., Traina, A. J. M., & Traina Junior, C. (2024). KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012599900003690
NLM
Teixeira LR, Eleutério IAR, Cazzolato MT, Gutierrez MA, Traina AJM, Traina Junior C. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.5220/0012599900003690
Vancouver
Teixeira LR, Eleutério IAR, Cazzolato MT, Gutierrez MA, Traina AJM, Traina Junior C. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.5220/0012599900003690
Trabalho de evento
Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases (2024)
Silva, William Zaniboni ; Eleutério, Igor Alberte Rodrigues ; Teixeira, Larissa Roberta ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA
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ABNT
SILVA, William Zaniboni et al. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012606300003690. Acesso em: 15 jul. 2024.
APA
Silva, W. Z., Eleutério, I. A. R., Teixeira, L. R., Traina, A. J. M., & Traina Junior, C. (2024). Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012606300003690
NLM
Silva WZ, Eleutério IAR, Teixeira LR, Traina AJM, Traina Junior C. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.5220/0012606300003690
Vancouver
Silva WZ, Eleutério IAR, Teixeira LR, Traina AJM, Traina Junior C. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.5220/0012606300003690
Trabalho de evento
An algorithm to train unrestricted sequential discrete morphological neural networks (2024)
Marcondes, Diego ; Feldman, Mariana de Sousa ; Barrera, Junior
Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS
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ABNT
MARCONDES, Diego e FELDMAN, Mariana de Sousa e BARRERA, Junior. An algorithm to train unrestricted sequential discrete morphological neural networks. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_14. Acesso em: 15 jul. 2024.
APA
Marcondes, D., Feldman, M. de S., & Barrera, J. (2024). An algorithm to train unrestricted sequential discrete morphological neural networks. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_14
NLM
Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
Vancouver
Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
Trabalho de evento
The lattice overparametrization paradigm for the machine learning of lattice operators (2024)
Marcondes, Diego ; Barrera, Junior
Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, OPERADORES
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ABNT
MARCONDES, Diego e BARRERA, Junior. The lattice overparametrization paradigm for the machine learning of lattice operators. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_16. Acesso em: 15 jul. 2024.
APA
Marcondes, D., & Barrera, J. (2024). The lattice overparametrization paradigm for the machine learning of lattice operators. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_16
NLM
Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
Vancouver
Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
Trabalho de evento
Machine learning techniques for improving multiclass anomaly detection on conveyor belts (2024)
Matos, Saulo Neves ; Coletti, Otavio Ferracioli ; Zimmer, Rafael; Ugucioni Filho, Fernando; Carvalho, Ricardo C. C. L. de; Silva, Victor Rodrigues da; Franco, Jorge Luiz; Pinto, Thomas Vargas Barsante e ; Barros, Luiz Guilherme Dias de ; Ranieri, Caetano Mazzoni ; Lopes, Bruno Eduardo; Silva, Diego Furtado ; Ueyama, Jó ; Pessin, Gustavo
Source: Proceedings. Conference titles: IEEE International Instrumentation and Measurement Technology Conference - I2MTC. Unidades: ICMC, EESC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, MANUTENÇÃO PREDITIVA, TRANSPORTADORES DE CORREIA
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ABNT
MATOS, Saulo Neves et al. Machine learning techniques for improving multiclass anomaly detection on conveyor belts. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/I2MTC60896.2024.10561167. Acesso em: 15 jul. 2024.
APA
Matos, S. N., Coletti, O. F., Zimmer, R., Ugucioni Filho, F., Carvalho, R. C. C. L. de, Silva, V. R. da, et al. (2024). Machine learning techniques for improving multiclass anomaly detection on conveyor belts. In Proceedings. Piscataway: IEEE. doi:10.1109/I2MTC60896.2024.10561167
NLM
Matos SN, Coletti OF, Zimmer R, Ugucioni Filho F, Carvalho RCCL de, Silva VR da, Franco JL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Silva DF, Ueyama J, Pessin G. Machine learning techniques for improving multiclass anomaly detection on conveyor belts [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167
Vancouver
Matos SN, Coletti OF, Zimmer R, Ugucioni Filho F, Carvalho RCCL de, Silva VR da, Franco JL, Pinto TVB e, Barros LGD de, Ranieri CM, Lopes BE, Silva DF, Ueyama J, Pessin G. Machine learning techniques for improving multiclass anomaly detection on conveyor belts [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167
Trabalho de evento
OER-Chat: an open chatbot to support the reuse of open educational resources of introductory programming (2024)
Deus, William Simão de ; Barbosa, Ellen Francine
Source: Proceedings. Conference titles: Hawaii International Conference on System Sciences. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, TÉCNICAS DE PROGRAMAÇÃO
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ABNT
DEUS, William Simão de e BARBOSA, Ellen Francine. OER-Chat: an open chatbot to support the reuse of open educational resources of introductory programming. 2024, Anais.. Honolulu: University of Hawaii at Mānoa, 2024. Disponível em: https://hdl.handle.net/10125/107008. Acesso em: 15 jul. 2024.
APA
Deus, W. S. de, & Barbosa, E. F. (2024). OER-Chat: an open chatbot to support the reuse of open educational resources of introductory programming. In Proceedings. Honolulu: University of Hawaii at Mānoa. Recuperado de https://hdl.handle.net/10125/107008
NLM
Deus WS de, Barbosa EF. OER-Chat: an open chatbot to support the reuse of open educational resources of introductory programming [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://hdl.handle.net/10125/107008
Vancouver
Deus WS de, Barbosa EF. OER-Chat: an open chatbot to support the reuse of open educational resources of introductory programming [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://hdl.handle.net/10125/107008
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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ABNT
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: 15 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. 15 ] 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. 15 ] 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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ABNT
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: 15 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. 15 ] 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. 15 ] Available from: https://aclanthology.org/2024.propor-1.19
Trabalho de evento
An end-to-end deep learning approach for video captioning through mobile devices (2024)
Damaceno, Rafael Jeferson Pezzuto ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
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ABNT
DAMACENO, Rafael Jeferson Pezzuto e CÉSAR JÚNIOR, Roberto Marcondes. An end-to-end deep learning approach for video captioning through mobile devices. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-49018-7_51. Acesso em: 15 jul. 2024.
APA
Damaceno, R. J. P., & César Júnior, R. M. (2024). An end-to-end deep learning approach for video captioning through mobile devices. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-49018-7_51
NLM
Damaceno RJP, César Júnior RM. An end-to-end deep learning approach for video captioning through mobile devices [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
Vancouver
Damaceno RJP, César Júnior RM. An end-to-end deep learning approach for video captioning through mobile devices [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
Trabalho de evento
Closing the loop: enhancing industrial productivity through soft sensor (2024)
Pereira, Paulo; Pinto, Thomas Vargas Barsante e ; Matos, Saulo Neves ; Barbosa, Higor; Pérez, José; Pessin, Gustavo
Source: Proceedings. Conference titles: IEEE International Instrumentation and Measurement Technology Conference - I2MTC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TRANSPORTADORES DE CORREIA, PRODUÇÃO MINERAL, INDÚSTRIA 4.0, CONTROLE DE PROCESSOS
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ABNT
PEREIRA, Paulo et al. Closing the loop: enhancing industrial productivity through soft sensor. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/I2MTC60896.2024.10560702. Acesso em: 15 jul. 2024.
APA
Pereira, P., Pinto, T. V. B. e, Matos, S. N., Barbosa, H., Pérez, J., & Pessin, G. (2024). Closing the loop: enhancing industrial productivity through soft sensor. In Proceedings. Piscataway: IEEE. doi:10.1109/I2MTC60896.2024.10560702
NLM
Pereira P, Pinto TVB e, Matos SN, Barbosa H, Pérez J, Pessin G. Closing the loop: enhancing industrial productivity through soft sensor [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10560702
Vancouver
Pereira P, Pinto TVB e, Matos SN, Barbosa H, Pérez J, Pessin G. Closing the loop: enhancing industrial productivity through soft sensor [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10560702
Trabalho de evento
Detecting spoofing and GPS jamming in UAVs: multiclass approach to attack diagnosis (2024)
Ferrão, Isadora Garcia ; Silva, Leandro Marcos da ; Bonilla, Daniel; Espes, David ; Dezan, Catherine ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceedings. Conference titles: Hawaii International Conference on System Sciences - HICSS. Unidade: ICMC
Subjects: AERONAVES NÃO TRIPULADAS, SISTEMA DE POSICIONAMENTO GLOBAL, SEGURANÇA VEICULAR, FALHA
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ABNT
FERRÃO, Isadora Garcia et al. Detecting spoofing and GPS jamming in UAVs: multiclass approach to attack diagnosis. 2024, Anais.. Honolulu: University of Hawai'i, 2024. Disponível em: https://hdl.handle.net/10125/106440. Acesso em: 15 jul. 2024.
APA
Ferrão, I. G., Silva, L. M. da, Bonilla, D., Espes, D., Dezan, C., & Branco, K. R. L. J. C. (2024). Detecting spoofing and GPS jamming in UAVs: multiclass approach to attack diagnosis. In Proceedings. Honolulu: University of Hawai'i. Recuperado de https://hdl.handle.net/10125/106440
NLM
Ferrão IG, Silva LM da, Bonilla D, Espes D, Dezan C, Branco KRLJC. Detecting spoofing and GPS jamming in UAVs: multiclass approach to attack diagnosis [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://hdl.handle.net/10125/106440
Vancouver
Ferrão IG, Silva LM da, Bonilla D, Espes D, Dezan C, Branco KRLJC. Detecting spoofing and GPS jamming in UAVs: multiclass approach to attack diagnosis [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://hdl.handle.net/10125/106440
Trabalho de evento
Being agile in a data science project (2024)
Ferreira, Renato Cordeiro ; Alves, Isaque ; Alves, Samara; Goldman, Alfredo
Source: Proceedings. Conference titles: International Conference on Agile Software Development - XP. Unidade: IME
Subjects: MÉTODOS ÁGEIS, APRENDIZADO COMPUTACIONAL, ENGENHARIA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Renato Cordeiro et al. Being agile in a data science project. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-48550-3_6. Acesso em: 15 jul. 2024.
APA
Ferreira, R. C., Alves, I., Alves, S., & Goldman, A. (2024). Being agile in a data science project. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-48550-3_6
NLM
Ferreira RC, Alves I, Alves S, Goldman A. Being agile in a data science project [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-48550-3_6
Vancouver
Ferreira RC, Alves I, Alves S, Goldman A. Being agile in a data science project [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-031-48550-3_6
Trabalho de evento
A methodological approach to map complex research systems to the Sustainable Development Goals: analysis of CIRAD publications (2024)
Gonzalez Aguilar, Audilio ; Paletta, Francisco Carlos ; Vallejo-Echavarría, Juan Camilo
Source: Proceedings. Conference titles: French Regional Conference on Complex Systems. Unidade: ECA
Subjects: BIBLIOMETRIA, PESQUISA CIENTÍFICA, ANÁLISE DE DADOS, DESENVOLVIMENTO SUSTENTÁVEL, AGRICULTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONZALEZ AGUILAR, Audilio e PALETTA, Francisco Carlos e VALLEJO-ECHAVARRÍA, Juan Camilo. A methodological approach to map complex research systems to the Sustainable Development Goals: analysis of CIRAD publications. 2024, Anais.. Montpellier: Escola de Comunicações e Artes, Universidade de São Paulo, 2024. Disponível em: https://www.eca.usp.br/acervo/producao-academica/003197473.pdf. Acesso em: 15 jul. 2024.
APA
Gonzalez Aguilar, A., Paletta, F. C., & Vallejo-Echavarría, J. C. (2024). A methodological approach to map complex research systems to the Sustainable Development Goals: analysis of CIRAD publications. In Proceedings. Montpellier: Escola de Comunicações e Artes, Universidade de São Paulo. Recuperado de https://www.eca.usp.br/acervo/producao-academica/003197473.pdf
NLM
Gonzalez Aguilar A, Paletta FC, Vallejo-Echavarría JC. A methodological approach to map complex research systems to the Sustainable Development Goals: analysis of CIRAD publications [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://www.eca.usp.br/acervo/producao-academica/003197473.pdf
Vancouver
Gonzalez Aguilar A, Paletta FC, Vallejo-Echavarría JC. A methodological approach to map complex research systems to the Sustainable Development Goals: analysis of CIRAD publications [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://www.eca.usp.br/acervo/producao-academica/003197473.pdf
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 15 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. 15 ] 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. 15 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 15 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. 15 ] 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. 15 ] Available from: https://aclanthology.org/2024.propor-1.26
Trabalho de evento-resumo
Fast bipartite forests for semi-supervised interaction prediction (2024)
Ilídio, Pedro; Alves, André ; Cerri, Ricardo
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, SIMULAÇÃO, FARMACODINÂMICA, ARQUITETURA DE INFORMAÇÃO, HARDWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ILÍDIO, Pedro e ALVES, André e CERRI, Ricardo. Fast bipartite forests for semi-supervised interaction prediction. 2024, Anais.. New York: Association for Computing Machinery - ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636071. Acesso em: 15 jul. 2024.
APA
Ilídio, P., Alves, A., & Cerri, R. (2024). Fast bipartite forests for semi-supervised interaction prediction. In Proceedings. New York: Association for Computing Machinery - ACM. doi:10.1145/3605098.3636071
NLM
Ilídio P, Alves A, Cerri R. Fast bipartite forests for semi-supervised interaction prediction [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1145/3605098.3636071
Vancouver
Ilídio P, Alves A, Cerri R. Fast bipartite forests for semi-supervised interaction prediction [Internet]. Proceedings. 2024 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1145/3605098.3636071

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