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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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1007/978-3-031-55601-2_7
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1109/SSIAI59505.2024.10508700
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] 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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.5220/0012606300003690
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://aclanthology.org/2024.propor-2.1
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://www.eca.usp.br/acervo/producao-academica/003197474.pdf
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] 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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://hdl.handle.net/10125/107008
Trabalho de evento
Quantifying uncertainty in bayesian networks structural learning (2024)
Barth, Vitor Bruno de Oliveira; Caetano, Henrique de Oliveira; Maciel, Carlos Dias ; Aiello, Marco
Source: Proceedings. Conference titles: IEEE International Conference on Evolving and Adaptive Intelligent Systems. Unidade: EESC
Subjects: INFERÊNCIA BAYESIANA, APRENDIZADO COMPUTACIONAL, ENGENHARIA ELÉTRICA
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ABNT
BARTH, Vitor Bruno de Oliveira et al. Quantifying uncertainty in bayesian networks structural learning. 2024, Anais.. Picataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2024. Disponível em: https://dx.doi.org/10.1109/EAIS58494.2024.10570017. Acesso em: 19 ago. 2024.
APA
Barth, V. B. de O., Caetano, H. de O., Maciel, C. D., & Aiello, M. (2024). Quantifying uncertainty in bayesian networks structural learning. In Proceedings. Picataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/EAIS58494.2024.10570017
NLM
Barth VB de O, Caetano H de O, Maciel CD, Aiello M. Quantifying uncertainty in bayesian networks structural learning [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://dx.doi.org/10.1109/EAIS58494.2024.10570017
Vancouver
Barth VB de O, Caetano H de O, Maciel CD, Aiello M. Quantifying uncertainty in bayesian networks structural learning [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://dx.doi.org/10.1109/EAIS58494.2024.10570017
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1109/I2MTC60896.2024.10561167
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://aclanthology.org/2024.propor-1.19
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://aclanthology.org/2024.propor-1.4/
Trabalho de evento
A canonical van der Waerden theorem in random sets (2024)
Alvarado Morales, José Diego ; Kohayakawa, Yoshiharu ; Morris, Patrick ; Mota, Guilherme Oliveira ; Ortega, Miquel
Source: Proceedings. Conference titles: Discrete Mathematics Days. Unidade: IME
Subjects: COMBINATÓRIA, GRAFOS ALEATÓRIOS
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ABNT
ALVARADO MORALES, José Diego et al. A canonical van der Waerden theorem in random sets. 2024, Anais.. Alcalá de Henares: Universidad de Alcalá, 2024. Disponível em: https://dmd2024.web.uah.es/files/abstracts/paper_31.pdf. Acesso em: 19 ago. 2024.
APA
Alvarado Morales, J. D., Kohayakawa, Y., Morris, P., Mota, G. O., & Ortega, M. (2024). A canonical van der Waerden theorem in random sets. In Proceedings. Alcalá de Henares: Universidad de Alcalá. Recuperado de https://dmd2024.web.uah.es/files/abstracts/paper_31.pdf
NLM
Alvarado Morales JD, Kohayakawa Y, Morris P, Mota GO, Ortega M. A canonical van der Waerden theorem in random sets [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://dmd2024.web.uah.es/files/abstracts/paper_31.pdf
Vancouver
Alvarado Morales JD, Kohayakawa Y, Morris P, Mota GO, Ortega M. A canonical van der Waerden theorem in random sets [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://dmd2024.web.uah.es/files/abstracts/paper_31.pdf
Trabalho de evento
A two-stage calibration approach for mitigating bias and fairness in recommender systems (2024)
Souza, Rodrigo Ferrari de ; Manzato, Marcelo Garcia
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Assunto: SISTEMAS DE RECOMENDAÇÃO
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ABNT
SOUZA, Rodrigo Ferrari de e MANZATO, Marcelo Garcia. A two-stage calibration approach for mitigating bias and fairness in recommender systems. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636092. Acesso em: 19 ago. 2024.
APA
Souza, R. F. de, & Manzato, M. G. (2024). A two-stage calibration approach for mitigating bias and fairness in recommender systems. In Proceedings. New York: ACM. doi:10.1145/3605098.3636092
NLM
Souza RF de, Manzato MG. A two-stage calibration approach for mitigating bias and fairness in recommender systems [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://doi.org/10.1145/3605098.3636092
Vancouver
Souza RF de, Manzato MG. A two-stage calibration approach for mitigating bias and fairness in recommender systems [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://doi.org/10.1145/3605098.3636092
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
Trabalho de evento
A symptom-based community-weighted similarity approach for inpatient health condition monitoring (2024)
Ponciano, Jean Roberto ; Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, RECONHECIMENTO DE PADRÕES, REGISTROS MÉDICOS, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONCIANO, Jean Roberto et al. A symptom-based community-weighted similarity approach for inpatient health condition monitoring. 2024, Anais.. Los Alamitos: IEEE, 2024. Disponível em: https://doi.org/10.1109/CBMS61543.2024.00050. Acesso em: 19 ago. 2024.
APA
Ponciano, J. R., Cazzolato, M. T., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2024). A symptom-based community-weighted similarity approach for inpatient health condition monitoring. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS61543.2024.00050
NLM
Ponciano JR, Cazzolato MT, Gutierrez MA, Traina Junior C, Traina AJM. A symptom-based community-weighted similarity approach for inpatient health condition monitoring [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://doi.org/10.1109/CBMS61543.2024.00050
Vancouver
Ponciano JR, Cazzolato MT, Gutierrez MA, Traina Junior C, Traina AJM. A symptom-based community-weighted similarity approach for inpatient health condition monitoring [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://doi.org/10.1109/CBMS61543.2024.00050
Trabalho de evento
RADAR-MIX: how to uncover adversarial attacks in medical image analysis through explainability (2024)
Aguiar, Erikson Júlio de ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, VISUALIZAÇÃO, APRENDIZAGEM PROFUNDA, TECNOLOGIAS DA SAÚDE, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Erikson Júlio de e TRAINA JUNIOR, Caetano e TRAINA, Agma Juci Machado. RADAR-MIX: how to uncover adversarial attacks in medical image analysis through explainability. 2024, Anais.. Los Alamitos: IEEE, 2024. Disponível em: https://doi.org/10.1109/CBMS61543.2024.00078. Acesso em: 19 ago. 2024.
APA
Aguiar, E. J. de, Traina Junior, C., & Traina, A. J. M. (2024). RADAR-MIX: how to uncover adversarial attacks in medical image analysis through explainability. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS61543.2024.00078
NLM
Aguiar EJ de, Traina Junior C, Traina AJM. RADAR-MIX: how to uncover adversarial attacks in medical image analysis through explainability [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://doi.org/10.1109/CBMS61543.2024.00078
Vancouver
Aguiar EJ de, Traina Junior C, Traina AJM. RADAR-MIX: how to uncover adversarial attacks in medical image analysis through explainability [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://doi.org/10.1109/CBMS61543.2024.00078
Trabalho de evento
Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation (2024)
Caetano, Henrique de Oliveira; Fogliatto, Matheus de Souza Sant'Anna ; Desuó Neto, Luiz; Pereira Junior, Benvindo Rodrigues ; Maciel, Carlos Dias ; Aiello, Marco
Source: Proceedings. Conference titles: IEEE International Conference on Evolving and Adaptive Intelligent Systems. Unidade: EESC
Subjects: MÉTODO DE MONTE CARLO, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAETANO, Henrique de Oliveira et al. Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation. 2024, Anais.. Picataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2024. Disponível em: https://dx.doi.org/10.1109/EAIS58494.2024.10570012. Acesso em: 19 ago. 2024.
APA
Caetano, H. de O., Fogliatto, M. de S. S. 'A., Desuó Neto, L., Pereira Junior, B. R., Maciel, C. D., & Aiello, M. (2024). Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation. In Proceedings. Picataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/EAIS58494.2024.10570012
NLM
Caetano H de O, Fogliatto M de SS'A, Desuó Neto L, Pereira Junior BR, Maciel CD, Aiello M. Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://dx.doi.org/10.1109/EAIS58494.2024.10570012
Vancouver
Caetano H de O, Fogliatto M de SS'A, Desuó Neto L, Pereira Junior BR, Maciel CD, Aiello M. Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation [Internet]. Proceedings. 2024 ;[citado 2024 ago. 19 ] Available from: https://dx.doi.org/10.1109/EAIS58494.2024.10570012
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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1007/978-3-031-48550-3_6

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