ReP USP - Resultado da busca

Trabalho de evento
Decoupling decision-making in fraud prevention through classifier calibration for business logic action (2024)
Luzio, Emanuele; Ponti, Moacir Antonelli; Ramirez Arevalo, Christian; Argerich, Luis
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FRAUDE NO COMÉRCIO E NA INDÚSTRIA, MÉTODOS PROBABILÍSTICOS
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ABNT
LUZIO, Emanuele et al. Decoupling decision-making in fraud prevention through classifier calibration for business logic action. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636089. Acesso em: 16 nov. 2024.
APA
Luzio, E., Ponti, M. A., Ramirez Arevalo, C., & Argerich, L. (2024). Decoupling decision-making in fraud prevention through classifier calibration for business logic action. In Proceedings. New York: ACM. doi:10.1145/3605098.3636089
NLM
Luzio E, Ponti MA, Ramirez Arevalo C, Argerich L. Decoupling decision-making in fraud prevention through classifier calibration for business logic action [Internet]. Proceedings. 2024 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3605098.3636089
Vancouver
Luzio E, Ponti MA, Ramirez Arevalo C, Argerich L. Decoupling decision-making in fraud prevention through classifier calibration for business logic action [Internet]. Proceedings. 2024 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3605098.3636089
Trabalho de evento
Context-aware monitoring for IoT: an approach based on agents, and federated learning (2023)
Curasma, Herminio Paucar ; Estrella, Júlio Cezar
Source: Proceedings. Conference titles: Latin-American Symposium on Dependable and Secure Computing - LADC. Unidade: ICMC
Subjects: ARQUITETURA DE SOFTWARE, SISTEMAS MULTIAGENTES, APRENDIZADO COMPUTACIONAL
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ABNT
CURASMA, Herminio Paucar e ESTRELLA, Júlio Cezar. Context-aware monitoring for IoT: an approach based on agents, and federated learning. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3615366.3622791. Acesso em: 16 nov. 2024.
APA
Curasma, H. P., & Estrella, J. C. (2023). Context-aware monitoring for IoT: an approach based on agents, and federated learning. In Proceedings. New York: ACM. doi:10.1145/3615366.3622791
NLM
Curasma HP, Estrella JC. Context-aware monitoring for IoT: an approach based on agents, and federated learning [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3615366.3622791
Vancouver
Curasma HP, Estrella JC. Context-aware monitoring for IoT: an approach based on agents, and federated learning [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3615366.3622791
Trabalho de evento
CallMine: fraud detection and visualization of million-scale call graphs (2023)
Cazzolato, Mirela Teixeira ; Vijayakumar, Saranya ; Lee, Meng-Chieh; Vajiac, Catalina; Park, Namyong ; Fidalgo, Pedro; Traina, Agma Juci Machado ; Faloutsos, Christos
Source: Proceedings. Conference titles: ACM International Conference on Information and Knowledge Management - CIKM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, VISUALIZAÇÃO, FRAUDE BANCÁRIA
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ABNT
CAZZOLATO, Mirela Teixeira et al. CallMine: fraud detection and visualization of million-scale call graphs. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3583780.3614662. Acesso em: 16 nov. 2024.
APA
Cazzolato, M. T., Vijayakumar, S., Lee, M. -C., Vajiac, C., Park, N., Fidalgo, P., et al. (2023). CallMine: fraud detection and visualization of million-scale call graphs. In Proceedings. New York: ACM. doi:10.1145/3583780.3614662
NLM
Cazzolato MT, Vijayakumar S, Lee M-C, Vajiac C, Park N, Fidalgo P, Traina AJM, Faloutsos C. CallMine: fraud detection and visualization of million-scale call graphs [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3583780.3614662
Vancouver
Cazzolato MT, Vijayakumar S, Lee M-C, Vajiac C, Park N, Fidalgo P, Traina AJM, Faloutsos C. CallMine: fraud detection and visualization of million-scale call graphs [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3583780.3614662
Trabalho de evento
Unfairness in machine learning for web systems applications (2023)
Minatel, Diego ; Santos, Nícolas Roque dos ; Silva, Angelo Cesar Mendes da ; Cúri, Mariana ; Marcacini, Ricardo Marcondes ; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, WORLD WIDE WEB, MULTIMÍDIA INTERATIVA, PRECONCEITO, ESTEREÓTIPOS (PSICOLOGIA)
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ABNT
MINATEL, Diego et al. Unfairness in machine learning for web systems applications. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617043. Acesso em: 16 nov. 2024.
APA
Minatel, D., Santos, N. R. dos, Silva, A. C. M. da, Cúri, M., Marcacini, R. M., & Lopes, A. de A. (2023). Unfairness in machine learning for web systems applications. In Proceedings. New York: ACM. doi:10.1145/3617023.3617043
NLM
Minatel D, Santos NR dos, Silva ACM da, Cúri M, Marcacini RM, Lopes A de A. Unfairness in machine learning for web systems applications [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3617023.3617043
Vancouver
Minatel D, Santos NR dos, Silva ACM da, Cúri M, Marcacini RM, Lopes A de A. Unfairness in machine learning for web systems applications [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3617023.3617043
Trabalho de evento
WSI2ML: an open-source whole slide image annotation software for machine learning applications (2023)
Martins, Luan Vinicius de Carvalho ; Bueno, Adriana Passos ; Defelicibus, Alexandre ; Drummond, Rodrigo Duarte ; Valieris, Renan ; Yu-Tao, Zhu ; Silva, Israel Tojal da ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidades: FFCLRP, ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PATOLOGIA CLÍNICA, TECNOLOGIAS DA SAÚDE
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ABNT
MARTINS, Luan Vinicius de Carvalho et al. WSI2ML: an open-source whole slide image annotation software for machine learning applications. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617038. Acesso em: 16 nov. 2024.
APA
Martins, L. V. de C., Bueno, A. P., Defelicibus, A., Drummond, R. D., Valieris, R., Yu-Tao, Z., et al. (2023). WSI2ML: an open-source whole slide image annotation software for machine learning applications. In Proceedings. New York: ACM. doi:10.1145/3617023.3617038
NLM
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3617023.3617038
Vancouver
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3617023.3617038
Trabalho de evento
On the use of early fusion operators on heterogeneous graph neural networks for one-class learning (2023)
Gôlo, Marcos Paulo Silva ; Moraes Junior, Marcelo Isaias de ; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, MULTIMÍDIA INTERATIVA
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ABNT
GÔLO, Marcos Paulo Silva et al. On the use of early fusion operators on heterogeneous graph neural networks for one-class learning. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617041. Acesso em: 16 nov. 2024.
APA
Gôlo, M. P. S., Moraes Junior, M. I. de, Goularte, R., & Marcacini, R. M. (2023). On the use of early fusion operators on heterogeneous graph neural networks for one-class learning. In Proceedings. New York: ACM. doi:10.1145/3617023.3617041
NLM
Gôlo MPS, Moraes Junior MI de, Goularte R, Marcacini RM. On the use of early fusion operators on heterogeneous graph neural networks for one-class learning [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3617023.3617041
Vancouver
Gôlo MPS, Moraes Junior MI de, Goularte R, Marcacini RM. On the use of early fusion operators on heterogeneous graph neural networks for one-class learning [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3617023.3617041
Trabalho de evento
Test data selection based on applying mutation testing to decision tree models (2023)
Silveira, Beatriz N. C; Durelli, Vinícius Humberto Serapilha ; Santos, Sebastião Henrique Nascimento; Durelli, Rafael Serapilha ; Delamaro, Márcio Eduardo ; Souza, Simone do Rocio Senger de
Source: Proceedings. Conference titles: Brazilian Symposium on Systematic and Automated Software Testing - SAST. Unidade: ICMC
Subjects: TESTE E AVALIAÇÃO DE SOFTWARE, APRENDIZADO COMPUTACIONAL, ANÁLISE DE MUTANTES
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ABNT
SILVEIRA, Beatriz N. C et al. Test data selection based on applying mutation testing to decision tree models. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3624032.3624038. Acesso em: 16 nov. 2024.
APA
Silveira, B. N. C., Durelli, V. H. S., Santos, S. H. N., Durelli, R. S., Delamaro, M. E., & Souza, S. do R. S. de. (2023). Test data selection based on applying mutation testing to decision tree models. In Proceedings. New York: ACM. doi:10.1145/3624032.3624038
NLM
Silveira BNC, Durelli VHS, Santos SHN, Durelli RS, Delamaro ME, Souza S do RS de. Test data selection based on applying mutation testing to decision tree models [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3624032.3624038
Vancouver
Silveira BNC, Durelli VHS, Santos SHN, Durelli RS, Delamaro ME, Souza S do RS de. Test data selection based on applying mutation testing to decision tree models [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3624032.3624038
Trabalho de evento
MApp-IDEA: monitoring app for issue detection and prioritization (2023)
Lima, Vitor Mesaque Alves de ; Barbosa, Jacson Rodrigues ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, APLICATIVOS MÓVEIS, ANÁLISE DE TEXTO
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ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. MApp-IDEA: monitoring app for issue detection and prioritization. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3613372.3613417. Acesso em: 16 nov. 2024.
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2023). MApp-IDEA: monitoring app for issue detection and prioritization. In Proceedings. New York: ACM. doi:10.1145/3613372.3613417
NLM
Lima VMA de, Barbosa JR, Marcacini RM. MApp-IDEA: monitoring app for issue detection and prioritization [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3613372.3613417
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. MApp-IDEA: monitoring app for issue detection and prioritization [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3613372.3613417
Trabalho de evento
Analysis and identification of evil twin attack through data science techniques using AWID3 dataset (2023)
Silva, Leandro Marcos da ; Andreghetti, Vinícius Moraes ; Romero, Roseli Aparecida Francelin ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceeding. Conference titles: International Conference on Machine Learning and Machine Intelligence - MLMI. Unidades: ICMC, EESC
Subjects: SEGURANÇA DE REDES, APRENDIZADO COMPUTACIONAL, WIRELESS
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ABNT
SILVA, Leandro Marcos da et al. Analysis and identification of evil twin attack through data science techniques using AWID3 dataset. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3635638.3635665. Acesso em: 16 nov. 2024.
APA
Silva, L. M. da, Andreghetti, V. M., Romero, R. A. F., & Branco, K. R. L. J. C. (2023). Analysis and identification of evil twin attack through data science techniques using AWID3 dataset. In Proceeding. New York: ACM. doi:10.1145/3635638.3635665
NLM
Silva LM da, Andreghetti VM, Romero RAF, Branco KRLJC. Analysis and identification of evil twin attack through data science techniques using AWID3 dataset [Internet]. Proceeding. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3635638.3635665
Vancouver
Silva LM da, Andreghetti VM, Romero RAF, Branco KRLJC. Analysis and identification of evil twin attack through data science techniques using AWID3 dataset [Internet]. Proceeding. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3635638.3635665
Trabalho de evento
Video summarization using text subjectivity classification (2022)
Moraes, Leonardo Gonçalves de; Marcacini, Ricardo Marcondes ; Goularte, Rudinei
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, MULTIMÍDIA INTERATIVA, SUBJETIVIDADE
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ABNT
MORAES, Leonardo Gonçalves de e MARCACINI, Ricardo Marcondes e GOULARTE, Rudinei. Video summarization using text subjectivity classification. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3539637.3556998. Acesso em: 16 nov. 2024.
APA
Moraes, L. G. de, Marcacini, R. M., & Goularte, R. (2022). Video summarization using text subjectivity classification. In Proceedings. New York: ACM. doi:10.1145/3539637.3556998
NLM
Moraes LG de, Marcacini RM, Goularte R. Video summarization using text subjectivity classification [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3539637.3556998
Vancouver
Moraes LG de, Marcacini RM, Goularte R. Video summarization using text subjectivity classification [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3539637.3556998
Trabalho de evento
Public administration suppliers classification model based on supervised machine learning (2022)
Sousa Junior, Joselito M. de; Machado, Vinícius Ponte ; Veras, Rodrigo de Melo Souza ; Santos, Roney Lira de Sales ; Lima, Bruno Vicente Alves de; Silva, Alice Montenegro Leal ; Sousa, Francisco Alysson da S; Imperes Filho, Francisco das Chagas
Source: Proceedings. Conference titles: Brazilian Symposium on Information Systems - SBSI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ADMINISTRAÇÃO PÚBLICA, CONTRATO ADMINISTRATIVO, AUDITORIA, TRIBUNAL DE CONTAS
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ABNT
SOUSA JUNIOR, Joselito M. de et al. Public administration suppliers classification model based on supervised machine learning. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3535511.3535552. Acesso em: 16 nov. 2024.
APA
Sousa Junior, J. M. de, Machado, V. P., Veras, R. de M. S., Santos, R. L. de S., Lima, B. V. A. de, Silva, A. M. L., et al. (2022). Public administration suppliers classification model based on supervised machine learning. In Proceedings. New York: ACM. doi:10.1145/3535511.3535552
NLM
Sousa Junior JM de, Machado VP, Veras R de MS, Santos RL de S, Lima BVA de, Silva AML, Sousa FA da S, Imperes Filho F das C. Public administration suppliers classification model based on supervised machine learning [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3535511.3535552
Vancouver
Sousa Junior JM de, Machado VP, Veras R de MS, Santos RL de S, Lima BVA de, Silva AML, Sousa FA da S, Imperes Filho F das C. Public administration suppliers classification model based on supervised machine learning [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3535511.3535552
Trabalho de evento
Machine learning post-hoc interpretability: a systematic mapping study (2022)
Vieira, Carla Piazzon Ramos ; Digiampietri, Luciano Antonio
Source: SBSI: XVIII Brazilian Symposium on Information Systems. Conference titles: Brazilian Symposium on Information Systems. Unidade: EACH
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, TOMADA DE DECISÃO
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ABNT
VIEIRA, Carla Piazzon Ramos e DIGIAMPIETRI, Luciano Antonio. Machine learning post-hoc interpretability: a systematic mapping study. 2022, Anais.. New York, NY: ACM, 2022. p. art. 1 ( 1-8). Disponível em: https://doi.org/10.1145/3535511.3535512. Acesso em: 16 nov. 2024.
APA
Vieira, C. P. R., & Digiampietri, L. A. (2022). Machine learning post-hoc interpretability: a systematic mapping study. In SBSI: XVIII Brazilian Symposium on Information Systems (p. art. 1 ( 1-8). New York, NY: ACM. doi:10.1145/3535511.3535512
NLM
Vieira CPR, Digiampietri LA. Machine learning post-hoc interpretability: a systematic mapping study [Internet]. SBSI: XVIII Brazilian Symposium on Information Systems. 2022 ;art. 1 ( 1-8).[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3535511.3535512
Vancouver
Vieira CPR, Digiampietri LA. Machine learning post-hoc interpretability: a systematic mapping study [Internet]. SBSI: XVIII Brazilian Symposium on Information Systems. 2022 ;art. 1 ( 1-8).[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3535511.3535512
Trabalho de evento-anais periodico
The impact of different facial expression intensities on the performance of pre-trained emotion recognition models (2022)
Araujo, Hermon Faria de; Marques, Fátima de Lourdes dos Santos Nunes ; Lima, Ariane Machado
Source: The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). Conference titles: Annual ACM Symposium on Applied Computing. Unidade: EACH
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, FACE, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
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ABNT
ARAUJO, Hermon Faria de e MARQUES, Fátima de Lourdes dos Santos Nunes e LIMA, Ariane Machado. The impact of different facial expression intensities on the performance of pre-trained emotion recognition models. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). New York, NY: ACM. Disponível em: https://doi.org/10.1145/3477314.3507268. Acesso em: 16 nov. 2024. , 2022
APA
Araujo, H. F. de, Marques, F. de L. dos S. N., & Lima, A. M. (2022). The impact of different facial expression intensities on the performance of pre-trained emotion recognition models. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). New York, NY: ACM. doi:10.1145/3477314.3507268
NLM
Araujo HF de, Marques F de L dos SN, Lima AM. The impact of different facial expression intensities on the performance of pre-trained emotion recognition models [Internet]. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). 2022 ; 41-48.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3477314.3507268
Vancouver
Araujo HF de, Marques F de L dos SN, Lima AM. The impact of different facial expression intensities on the performance of pre-trained emotion recognition models [Internet]. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). 2022 ; 41-48.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3477314.3507268
Trabalho de evento
Deep reinforcement learning based android application GUI testing (2021)
Collins, Eliane; Vincenzi, Auri Marcelo Rizzo ; Dias Neto, Arilo Claudio ; Maldonado, José Carlos
Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: ICMC
Subjects: COMPUTAÇÃO MÓVEL, APRENDIZADO COMPUTACIONAL, TESTE E AVALIAÇÃO DE SOFTWARE
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ABNT
COLLINS, Eliane et al. Deep reinforcement learning based android application GUI testing. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3474624.3474634. Acesso em: 16 nov. 2024.
APA
Collins, E., Vincenzi, A. M. R., Dias Neto, A. C., & Maldonado, J. C. (2021). Deep reinforcement learning based android application GUI testing. In Proceedings. New York: ACM. doi:10.1145/3474624.3474634
NLM
Collins E, Vincenzi AMR, Dias Neto AC, Maldonado JC. Deep reinforcement learning based android application GUI testing [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3474624.3474634
Vancouver
Collins E, Vincenzi AMR, Dias Neto AC, Maldonado JC. Deep reinforcement learning based android application GUI testing [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3474624.3474634
Trabalho de evento
Multimodal intent classification with incomplete modalities using text embedding propagation (2021)
Gonzaga, Victor Machado; Murrugarra-Llerena, Nils ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, RECONHECIMENTO DE IMAGEM, MÍDIAS SOCIAIS
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ABNT
GONZAGA, Victor Machado e MURRUGARRA-LLERENA, Nils e MARCACINI, Ricardo Marcondes. Multimodal intent classification with incomplete modalities using text embedding propagation. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3470482.3479636. Acesso em: 16 nov. 2024.
APA
Gonzaga, V. M., Murrugarra-Llerena, N., & Marcacini, R. M. (2021). Multimodal intent classification with incomplete modalities using text embedding propagation. In Proceedings. New York: ACM. doi:10.1145/3470482.3479636
NLM
Gonzaga VM, Murrugarra-Llerena N, Marcacini RM. Multimodal intent classification with incomplete modalities using text embedding propagation [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3470482.3479636
Vancouver
Gonzaga VM, Murrugarra-Llerena N, Marcacini RM. Multimodal intent classification with incomplete modalities using text embedding propagation [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3470482.3479636
Trabalho de evento
Hierarchical cluster labeling of software requirements using contextual word embeddings (2021)
Araujo, Adailton Ferreira de ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: ICMC
Subjects: ENGENHARIA DE REQUISITOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
ARAUJO, Adailton Ferreira de e MARCACINI, Ricardo Marcondes. Hierarchical cluster labeling of software requirements using contextual word embeddings. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3474624.3477067. Acesso em: 16 nov. 2024.
APA
Araujo, A. F. de, & Marcacini, R. M. (2021). Hierarchical cluster labeling of software requirements using contextual word embeddings. In Proceedings. New York: ACM. doi:10.1145/3474624.3477067
NLM
Araujo AF de, Marcacini RM. Hierarchical cluster labeling of software requirements using contextual word embeddings [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3474624.3477067
Vancouver
Araujo AF de, Marcacini RM. Hierarchical cluster labeling of software requirements using contextual word embeddings [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3474624.3477067
Trabalho de evento
Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis (2021)
Alves, Tatiane Vieira; Rodrigues, Kamila Rios da Hora ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Brazilian Symposium on Human Factors in Computing Systems - IHC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, INTERAÇÃO USUÁRIO-COMPUTADOR, ENXAQUECA, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Tatiane Vieira e RODRIGUES, Kamila Rios da Hora e PONTI, Moacir Antonelli. Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3472301.3484322. Acesso em: 16 nov. 2024.
APA
Alves, T. V., Rodrigues, K. R. da H., & Ponti, M. A. (2021). Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis. In Proceedings. New York: ACM. doi:10.1145/3472301.3484322
NLM
Alves TV, Rodrigues KR da H, Ponti MA. Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3472301.3484322
Vancouver
Alves TV, Rodrigues KR da H, Ponti MA. Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3472301.3484322
Trabalho de evento
Learning textual representations from multiple modalities to detect fake news through one-class learning (2021)
Gôlo, Marcos Paulo Silva ; Caravanti, Mariana; Rossi, Rafael Geraldeli ; Rezende, Solange Oliveira ; Nogueira, Bruno; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, FAKE NEWS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. Learning textual representations from multiple modalities to detect fake news through one-class learning. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3470482.3479634. Acesso em: 16 nov. 2024.
APA
Gôlo, M. P. S., Caravanti, M., Rossi, R. G., Rezende, S. O., Nogueira, B., & Marcacini, R. M. (2021). Learning textual representations from multiple modalities to detect fake news through one-class learning. In Proceedings. New York: ACM. doi:10.1145/3470482.3479634
NLM
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3470482.3479634
Vancouver
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3470482.3479634
Trabalho de evento
4MuLA: a multitask, multimodal, and multilingual dataset of music lyrics and audio features (2020)
Silva, Angelo Cesar Mendes da; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, APRENDIZADO COMPUTACIONAL, MÚSICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. 4MuLA: a multitask, multimodal, and multilingual dataset of music lyrics and audio features. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3428658.3431089. Acesso em: 16 nov. 2024.
APA
Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2020). 4MuLA: a multitask, multimodal, and multilingual dataset of music lyrics and audio features. In Proceedings. New York: ACM. doi:10.1145/3428658.3431089
NLM
Silva ACM da, Silva DF, Marcacini RM. 4MuLA: a multitask, multimodal, and multilingual dataset of music lyrics and audio features [Internet]. Proceedings. 2020 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3428658.3431089
Vancouver
Silva ACM da, Silva DF, Marcacini RM. 4MuLA: a multitask, multimodal, and multilingual dataset of music lyrics and audio features [Internet]. Proceedings. 2020 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3428658.3431089
Trabalho de evento
An extensive investigation of machine learning techniques for sleep apnea screening (2020)
Rodrigues Junior, José Fernando ; Pepin, Jean-Louis ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Source: Proceedings. Conference titles: ACM International Conference on Information & Knowledge Management - CIKM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TECNOLOGIAS DA SAÚDE, APNEIA DO SONO TIPO OBSTRUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES JUNIOR, José Fernando et al. An extensive investigation of machine learning techniques for sleep apnea screening. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3340531.3412686. Acesso em: 16 nov. 2024.
APA
Rodrigues Junior, J. F., Pepin, J. -L., Goeuriot, L., & Amer-Yahia, S. (2020). An extensive investigation of machine learning techniques for sleep apnea screening. In Proceedings. New York: ACM. doi:10.1145/3340531.3412686
NLM
Rodrigues Junior JF, Pepin J-L, Goeuriot L, Amer-Yahia S. An extensive investigation of machine learning techniques for sleep apnea screening [Internet]. Proceedings. 2020 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3340531.3412686
Vancouver
Rodrigues Junior JF, Pepin J-L, Goeuriot L, Amer-Yahia S. An extensive investigation of machine learning techniques for sleep apnea screening [Internet]. Proceedings. 2020 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3340531.3412686

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