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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: 05 nov. 2025.
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 2025 nov. 05 ] 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 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3636092
Trabalho de evento
Continuous evaluation of software architectures: an overview of the state of the art (2022)
Soares, Rodrigo de Campos; Santos, Vinicius dos ; Nakagawa, Elisa Yumi
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: ARQUITETURA DE SOFTWARE, AVALIAÇÃO DE DESEMPENHO (ARQUITETURA), REVISÃO SISTEMÁTICA
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ABNT
SOARES, Rodrigo de Campos e SANTOS, Vinicius dos e NAKAGAWA, Elisa Yumi. Continuous evaluation of software architectures: an overview of the state of the art. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3477314.3507318. Acesso em: 05 nov. 2025.
APA
Soares, R. de C., Santos, V. dos, & Nakagawa, E. Y. (2022). Continuous evaluation of software architectures: an overview of the state of the art. In Proceedings. New York: ACM. doi:10.1145/3477314.3507318
NLM
Soares R de C, Santos V dos, Nakagawa EY. Continuous evaluation of software architectures: an overview of the state of the art [Internet]. Proceedings. 2022 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3477314.3507318
Vancouver
Soares R de C, Santos V dos, Nakagawa EY. Continuous evaluation of software architectures: an overview of the state of the art [Internet]. Proceedings. 2022 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3477314.3507318
Trabalho de evento
A survey on requirements notations in software engineering research (2022)
Amaral, Larissa Mangolim ; Siqueira, Fábio Levy ; Brandão, Anarosa Alves Franco
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: EP
Assunto: ONTOLOGIA
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ABNT
AMARAL, Larissa Mangolim e SIQUEIRA, Fábio Levy e BRANDÃO, Anarosa Alves Franco. A survey on requirements notations in software engineering research. 2022, Anais.. New York: Escola Politécnica, Universidade de São Paulo, 2022. Disponível em: https://doi.org/10.1145/3477314.3507253. Acesso em: 05 nov. 2025.
APA
Amaral, L. M., Siqueira, F. L., & Brandão, A. A. F. (2022). A survey on requirements notations in software engineering research. In Proceedings. New York: Escola Politécnica, Universidade de São Paulo. doi:10.1145/3477314.3507253
NLM
Amaral LM, Siqueira FL, Brandão AAF. A survey on requirements notations in software engineering research [Internet]. Proceedings. 2022 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3477314.3507253
Vancouver
Amaral LM, Siqueira FL, Brandão AAF. A survey on requirements notations in software engineering research [Internet]. Proceedings. 2022 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3477314.3507253
Trabalho de evento
FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI (2020)
Ramos, Jonathan da Silva ; Cazzolato, Mirela Teixeira ; Nogueira-Barbosa, Marcello Henrique ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidades: FMRP, ICMC
Subjects: INFORMÁTICA MÉDICA, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, RESSONÂNCIA MAGNÉTICA, PROCESSAMENTO DE IMAGENS
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ABNT
RAMOS, Jonathan da Silva et al. FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3341105.3374100. Acesso em: 05 nov. 2025.
APA
Ramos, J. da S., Cazzolato, M. T., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2020). FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. In Proceedings. New York: ACM. doi:10.1145/3341105.3374100
NLM
Ramos J da S, Cazzolato MT, Nogueira-Barbosa MH, Traina AJM. FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI [Internet]. Proceedings. 2020 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3341105.3374100
Vancouver
Ramos J da S, Cazzolato MT, Nogueira-Barbosa MH, Traina AJM. FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI [Internet]. Proceedings. 2020 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3341105.3374100
Trabalho de evento
Enhancing recursive graph querying on RDBMS with data clustering approaches (2020)
Scabora, Lucas de Carvalho ; Spadon, Gabriel ; Oliveira, Paulo Henrique de ; Rodrigues Junior, José Fernando ; Traina Junior, Caetano
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: BANCO DE DADOS, CLUSTERS, LÓGICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABORA, Lucas de Carvalho et al. Enhancing recursive graph querying on RDBMS with data clustering approaches. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3341105.3375770. Acesso em: 05 nov. 2025.
APA
Scabora, L. de C., Spadon, G., Oliveira, P. H. de, Rodrigues Junior, J. F., & Traina Junior, C. (2020). Enhancing recursive graph querying on RDBMS with data clustering approaches. In Proceedings. New York: ACM. doi:10.1145/3341105.3375770
NLM
Scabora L de C, Spadon G, Oliveira PH de, Rodrigues Junior JF, Traina Junior C. Enhancing recursive graph querying on RDBMS with data clustering approaches [Internet]. Proceedings. 2020 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3341105.3375770
Vancouver
Scabora L de C, Spadon G, Oliveira PH de, Rodrigues Junior JF, Traina Junior C. Enhancing recursive graph querying on RDBMS with data clustering approaches [Internet]. Proceedings. 2020 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3341105.3375770

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