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Artigo de periodico
McCatch: scalable microcluster detection in dimensional and nondimensional datasets (2024)
Vinces, Braulio Valentin Sánchez ; Cordeiro, Robson Leonardo Ferreira ; Faloutsos, Christos
Source: Proceedings. Conference titles: IEEE International Conference on Data Engineering - ICDE. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS, ALGORITMOS ÚTEIS E ESPECÍFICOS, RECONHECIMENTO DE PADRÕES
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VINCES, Braulio Valentin Sánchez e CORDEIRO, Robson Leonardo Ferreira e FALOUTSOS, Christos. McCatch: scalable microcluster detection in dimensional and nondimensional datasets. Proceedings, 2024Tradução . . Disponível em: https://doi.org/10.1109/ICDE60146.2024.00116. Acesso em: 01 nov. 2024.
APA
Vinces, B. V. S., Cordeiro, R. L. F., & Faloutsos, C. (2024). McCatch: scalable microcluster detection in dimensional and nondimensional datasets. Proceedings. doi:10.1109/ICDE60146.2024.00116
NLM
Vinces BVS, Cordeiro RLF, Faloutsos C. McCatch: scalable microcluster detection in dimensional and nondimensional datasets [Internet]. Proceedings. 2024 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDE60146.2024.00116
Vancouver
Vinces BVS, Cordeiro RLF, Faloutsos C. McCatch: scalable microcluster detection in dimensional and nondimensional datasets [Internet]. Proceedings. 2024 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDE60146.2024.00116
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
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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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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
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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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1109/CBMS61543.2024.00078
Trabalho de evento
Multidimensional modelling in NoSQL database: a systematic review (2023)
Ferreira, Leandro Mendes; Souza, Solange Nice Alves de ; Silva, Luciana Maria da
Source: CISTI. Conference titles: Iberian Conference on Information Systems and Technologies. Unidade: EP
Subjects: BANCO DE DADOS, LITERATURA, BANCO DE DADOS RELACIONAIS
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FERREIRA, Leandro Mendes e SOUZA, Solange Nice Alves de e SILVA, Luciana Maria da. Multidimensional modelling in NoSQL database: a systematic review. 2023, Anais.. [Piscataway]: IEEE, 2023. Disponível em: https://doi.org/10.23919/CISTI58278.2023.10211592. Acesso em: 01 nov. 2024.
APA
Ferreira, L. M., Souza, S. N. A. de, & Silva, L. M. da. (2023). Multidimensional modelling in NoSQL database: a systematic review. In CISTI. [Piscataway]: IEEE. doi:10.23919/CISTI58278.2023.10211592
NLM
Ferreira LM, Souza SNA de, Silva LM da. Multidimensional modelling in NoSQL database: a systematic review [Internet]. CISTI. 2023 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.23919/CISTI58278.2023.10211592
Vancouver
Ferreira LM, Souza SNA de, Silva LM da. Multidimensional modelling in NoSQL database: a systematic review [Internet]. CISTI. 2023 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.23919/CISTI58278.2023.10211592
Trabalho de evento
Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools (2023)
Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Faloutsos, Christos ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, VISUALIZAÇÃO, REGISTROS HOSPITALARES
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CAZZOLATO, Mirela Teixeira et al. Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00202. Acesso em: 01 nov. 2024.
APA
Cazzolato, M. T., Gutierrez, M. A., Traina Junior, C., Faloutsos, C., & Traina, A. J. M. (2023). Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00202
NLM
Cazzolato MT, Gutierrez MA, Traina Junior C, Faloutsos C, Traina AJM. Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools [Internet]. Proceedings. 2023 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00202
Vancouver
Cazzolato MT, Gutierrez MA, Traina Junior C, Faloutsos C, Traina AJM. Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools [Internet]. Proceedings. 2023 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00202
Trabalho de evento
D.MCA: outlier detection with explicit micro-cluster assignments (2022)
Jiang, Shuli; Cordeiro, Robson Leonardo Ferreira ; Akoglu, Leman
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining - ICDM. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS
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JIANG, Shuli e CORDEIRO, Robson Leonardo Ferreira e AKOGLU, Leman. D.MCA: outlier detection with explicit micro-cluster assignments. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/ICDM54844.2022.00119. Acesso em: 01 nov. 2024.
APA
Jiang, S., Cordeiro, R. L. F., & Akoglu, L. (2022). D.MCA: outlier detection with explicit micro-cluster assignments. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDM54844.2022.00119
NLM
Jiang S, Cordeiro RLF, Akoglu L. D.MCA: outlier detection with explicit micro-cluster assignments [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDM54844.2022.00119
Vancouver
Jiang S, Cordeiro RLF, Akoglu L. D.MCA: outlier detection with explicit micro-cluster assignments [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDM54844.2022.00119
Trabalho de evento
FSAnalysis: um mecanismo de seleção de features e análise considerando bases balanceadas e desbalanceadas (2022)
Dalarmelina, Nicole do Vale ; Teixeira, Marcio Andrey; Andrade, Fernando Roberto Hebeler; Pereira Júnior, Lourenço Alves ; Rocha Filho, Geraldo Pereira ; Meneguette, Rodolfo Ipolito
Source: Proceedings. Conference titles: Iberian Conference on Information Systems and Technologies - CISTI. Unidade: ICMC
Subjects: INTERNET DAS COISAS, BANCO DE DADOS, ALOCAÇÃO DE RECURSOS, ALGORITMOS
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DALARMELINA, Nicole do Vale et al. FSAnalysis: um mecanismo de seleção de features e análise considerando bases balanceadas e desbalanceadas. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.23919/CISTI54924.2022.9820560. Acesso em: 01 nov. 2024.
APA
Dalarmelina, N. do V., Teixeira, M. A., Andrade, F. R. H., Pereira Júnior, L. A., Rocha Filho, G. P., & Meneguette, R. I. (2022). FSAnalysis: um mecanismo de seleção de features e análise considerando bases balanceadas e desbalanceadas. In Proceedings. Piscataway: IEEE. doi:10.23919/CISTI54924.2022.9820560
NLM
Dalarmelina N do V, Teixeira MA, Andrade FRH, Pereira Júnior LA, Rocha Filho GP, Meneguette RI. FSAnalysis: um mecanismo de seleção de features e análise considerando bases balanceadas e desbalanceadas [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.23919/CISTI54924.2022.9820560
Vancouver
Dalarmelina N do V, Teixeira MA, Andrade FRH, Pereira Júnior LA, Rocha Filho GP, Meneguette RI. FSAnalysis: um mecanismo de seleção de features e análise considerando bases balanceadas e desbalanceadas [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.23919/CISTI54924.2022.9820560
Trabalho de evento
The impact of using CouchDB on hyperledger fabric performance for heterogeneous medical data storage (2021)
Spengler, Ana Caroline Fernandes; Souza, Paulo Sérgio Lopes de
Source: Proceedings. Conference titles: Latin American Computing Conference - CLEI. Unidade: ICMC
Subjects: ANÁLISE DE DESEMPENHO, SISTEMAS DISTRIBUÍDOS, BANCO DE DADOS, REGISTROS MÉDICOS
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SPENGLER, Ana Caroline Fernandes e SOUZA, Paulo Sérgio Lopes de. The impact of using CouchDB on hyperledger fabric performance for heterogeneous medical data storage. 2021, Anais.. Danvers: IEEE, 2021. Disponível em: https://doi.org/10.1109/CLEI53233.2021.9640180. Acesso em: 01 nov. 2024.
APA
Spengler, A. C. F., & Souza, P. S. L. de. (2021). The impact of using CouchDB on hyperledger fabric performance for heterogeneous medical data storage. In Proceedings. Danvers: IEEE. doi:10.1109/CLEI53233.2021.9640180
NLM
Spengler ACF, Souza PSL de. The impact of using CouchDB on hyperledger fabric performance for heterogeneous medical data storage [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CLEI53233.2021.9640180
Vancouver
Spengler ACF, Souza PSL de. The impact of using CouchDB on hyperledger fabric performance for heterogeneous medical data storage [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CLEI53233.2021.9640180
Trabalho de evento
I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs (2021)
Linhares, Claudio Douglas Gouveia ; Lima, Daniel Mário de ; Bones, Christian Cesar ; Rebelo, Marina F. S; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, VISUALIZAÇÃO, MINERAÇÃO DE DADOS, REDES COMPLEXAS, COVID-19
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ABNT
LINHARES, Claudio Douglas Gouveia et al. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00059. Acesso em: 01 nov. 2024.
APA
Linhares, C. D. G., Lima, D. M. de, Bones, C. C., Rebelo, M. F. S., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2021). I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00059
NLM
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Vancouver
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Trabalho de evento
Technical debt prioritization: taxonomy, methods results, and practical characteristics (2021)
Pina, Diogo ; Goldman, Alfredo ; Tonin, Graziela Simone
Source: Proceedings. Conference titles: Euromicro Conference on Software Engineering and Advanced Applications - SEAA. Unidade: IME
Subjects: LINGUAGEM DE PROGRAMAÇÃO, BANCO DE DADOS, TOMADA DE DECISÃO
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PINA, Diogo e GOLDMAN, Alfredo e TONIN, Graziela Simone. Technical debt prioritization: taxonomy, methods results, and practical characteristics. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SEAA53835.2021.00034. Acesso em: 01 nov. 2024.
APA
Pina, D., Goldman, A., & Tonin, G. S. (2021). Technical debt prioritization: taxonomy, methods results, and practical characteristics. In Proceedings. Piscataway: IEEE. doi:10.1109/SEAA53835.2021.00034
NLM
Pina D, Goldman A, Tonin GS. Technical debt prioritization: taxonomy, methods results, and practical characteristics [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SEAA53835.2021.00034
Vancouver
Pina D, Goldman A, Tonin GS. Technical debt prioritization: taxonomy, methods results, and practical characteristics [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SEAA53835.2021.00034
Trabalho de evento
Augmentation techniques for sequential clinical data to improve deep learning prediction techniques (2020)
Florez, Alexander Ylnner Choquenaira; Scabora, Lucas de Carvalho ; Amer-Yahia, Sihem ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, BANCO DE DADOS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), TECNOLOGIAS DA SAÚDE, PROGNÓSTICO
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FLOREZ, Alexander Ylnner Choquenaira et al. Augmentation techniques for sequential clinical data to improve deep learning prediction techniques. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00118. Acesso em: 01 nov. 2024.
APA
Florez, A. Y. C., Scabora, L. de C., Amer-Yahia, S., & Rodrigues Junior, J. F. (2020). Augmentation techniques for sequential clinical data to improve deep learning prediction techniques. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00118
NLM
Florez AYC, Scabora L de C, Amer-Yahia S, Rodrigues Junior JF. Augmentation techniques for sequential clinical data to improve deep learning prediction techniques [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00118
Vancouver
Florez AYC, Scabora L de C, Amer-Yahia S, Rodrigues Junior JF. Augmentation techniques for sequential clinical data to improve deep learning prediction techniques [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00118
Trabalho de evento
Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP (2020)
Clementino Jr, José Maria ; Bones, Christian Cesar ; Faiçal, Bruno Squizato ; Linares, Oscar Alonso Cuadros ; Lima, Daniel Mário de ; Gutierrez, Marco A; 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, SISTEMAS DE INFORMAÇÃO HOSPITALAR, DESCOBERTA DE CONHECIMENTO
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CLEMENTINO JR, José Maria et al. Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00045. Acesso em: 01 nov. 2024.
APA
Clementino Jr, J. M., Bones, C. C., Faiçal, B. S., Linares, O. A. C., Lima, D. M. de, Gutierrez, M. A., et al. (2020). Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00045
NLM
Clementino Jr JM, Bones CC, Faiçal BS, Linares OAC, Lima DM de, Gutierrez MA, Traina Junior C, Traina AJM. Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00045
Vancouver
Clementino Jr JM, Bones CC, Faiçal BS, Linares OAC, Lima DM de, Gutierrez MA, Traina Junior C, Traina AJM. Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00045
Trabalho de evento
Performance evaluation of container's shared volumes (2020)
Bachiega, Naylor Garcia ; Souza, Paulo Sérgio Lopes de ; Bruschi, Sarita Mazzini ; Souza, Simone do Rocio Senger de
Source: Proceedings. Conference titles: IEEE International Conference on Software Testing, Verification and Validation Workshops - ICSTW. Unidade: ICMC
Subjects: DESENVOLVIMENTO DE SOFTWARE, CONTÊINERES, AVALIAÇÃO DE DESEMPENHO, BANCO DE DADOS
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BACHIEGA, Naylor Garcia et al. Performance evaluation of container's shared volumes. 2020, Anais.. Loa Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/ICSTW50294.2020.00031. Acesso em: 01 nov. 2024.
APA
Bachiega, N. G., Souza, P. S. L. de, Bruschi, S. M., & Souza, S. do R. S. de. (2020). Performance evaluation of container's shared volumes. In Proceedings. Loa Alamitos: IEEE. doi:10.1109/ICSTW50294.2020.00031
NLM
Bachiega NG, Souza PSL de, Bruschi SM, Souza S do RS de. Performance evaluation of container's shared volumes [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICSTW50294.2020.00031
Vancouver
Bachiega NG, Souza PSL de, Bruschi SM, Souza S do RS de. Performance evaluation of container's shared volumes [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICSTW50294.2020.00031
Trabalho de evento
Efficient resources utilization by different microservices deployment models (2018)
Buzato, Fernando H. L; Goldman, Alfredo ; Batista, Daniel Macêdo
Source: Proceedings. Conference titles: International Symposium on Network Computing and Applications - NCA. Unidade: IME
Subjects: BANCO DE DADOS, CIÊNCIA DA COMPUTAÇÃO
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BUZATO, Fernando H. L e GOLDMAN, Alfredo e BATISTA, Daniel Macêdo. Efficient resources utilization by different microservices deployment models. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/NCA.2018.8548346. Acesso em: 01 nov. 2024.
APA
Buzato, F. H. L., Goldman, A., & Batista, D. M. (2018). Efficient resources utilization by different microservices deployment models. In Proceedings. Piscataway: IEEE. doi:10.1109/NCA.2018.8548346
NLM
Buzato FHL, Goldman A, Batista DM. Efficient resources utilization by different microservices deployment models [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/NCA.2018.8548346
Vancouver
Buzato FHL, Goldman A, Batista DM. Efficient resources utilization by different microservices deployment models [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/NCA.2018.8548346
Trabalho de evento
Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms (2018)
Tekli, Joe; Chbeir, Richard; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Yetongnon, Kokou; Ibanez, Carlos Raymundo; Kallas, Christian
Source: Proceedings. Conference titles: IEEE International Conference on Cognitive Computing - ICCC. Unidade: ICMC
Subjects: BANCO DE DADOS, RECONHECIMENTO DE TEXTO, RECUPERAÇÃO DA INFORMAÇÃO
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TEKLI, Joe et al. Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/ICCC.2018.00012. Acesso em: 01 nov. 2024.
APA
Tekli, J., Chbeir, R., Traina, A. J. M., Traina Junior, C., Yetongnon, K., Ibanez, C. R., & Kallas, C. (2018). Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICCC.2018.00012
NLM
Tekli J, Chbeir R, Traina AJM, Traina Junior C, Yetongnon K, Ibanez CR, Kallas C. Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICCC.2018.00012
Vancouver
Tekli J, Chbeir R, Traina AJM, Traina Junior C, Yetongnon K, Ibanez CR, Kallas C. Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICCC.2018.00012
Trabalho de evento
Optical-flow features empirical mode decomposition for motion anomaly detection (2017)
Ponti, Moacir Antonelli ; Nazaré, Tiago Santana de ; Kittler, Josef
Source: Proceedings. Conference titles: IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, BANCO DE DADOS
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PONTI, Moacir Antonelli e NAZARÉ, Tiago Santana de e KITTLER, Josef. Optical-flow features empirical mode decomposition for motion anomaly detection. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/ICASSP.2017.7952387. Acesso em: 01 nov. 2024.
APA
Ponti, M. A., Nazaré, T. S. de, & Kittler, J. (2017). Optical-flow features empirical mode decomposition for motion anomaly detection. In Proceedings. Piscataway: IEEE. doi:10.1109/ICASSP.2017.7952387
NLM
Ponti MA, Nazaré TS de, Kittler J. Optical-flow features empirical mode decomposition for motion anomaly detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICASSP.2017.7952387
Vancouver
Ponti MA, Nazaré TS de, Kittler J. Optical-flow features empirical mode decomposition for motion anomaly detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICASSP.2017.7952387
Trabalho de evento
BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans (2017)
Cazzolato, Mirela T; Scabora, Lucas C; Costa, Alceu F; Nesso-Jr, Marcos R; Milano-Oliveira, Luis F; Kaster, Daniel S; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela T et al. BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/CBMS.2017.82. Acesso em: 01 nov. 2024.
APA
Cazzolato, M. T., Scabora, L. C., Costa, A. F., Nesso-Jr, M. R., Milano-Oliveira, L. F., Kaster, D. S., et al. (2017). BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2017.82
NLM
Cazzolato MT, Scabora LC, Costa AF, Nesso-Jr MR, Milano-Oliveira LF, Kaster DS, Traina Junior C, Traina AJM. BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS.2017.82
Vancouver
Cazzolato MT, Scabora LC, Costa AF, Nesso-Jr MR, Milano-Oliveira LF, Kaster DS, Traina Junior C, Traina AJM. BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS.2017.82
Trabalho de evento
Efficiently indexing multiple repositories of medical image databases (2017)
Oliveira, Paulo H; Scabora, Lucas C; Cazzolato, Mirela T; Oliveira, Willian Dener de; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Paulo H et al. Efficiently indexing multiple repositories of medical image databases. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/CBMS.2017.81. Acesso em: 01 nov. 2024.
APA
Oliveira, P. H., Scabora, L. C., Cazzolato, M. T., Oliveira, W. D. de, Traina, A. J. M., & Traina Junior, C. (2017). Efficiently indexing multiple repositories of medical image databases. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2017.81
NLM
Oliveira PH, Scabora LC, Cazzolato MT, Oliveira WD de, Traina AJM, Traina Junior C. Efficiently indexing multiple repositories of medical image databases [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS.2017.81
Vancouver
Oliveira PH, Scabora LC, Cazzolato MT, Oliveira WD de, Traina AJM, Traina Junior C. Efficiently indexing multiple repositories of medical image databases [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CBMS.2017.81
Trabalho de evento
Fire detection on unconstrained videos using color-aware spatial modeling and motion flow (2016)
Avalhais, Letrícia P. S; Rodrigues Junior, José Fernando ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Conference on Tools with Artificial Intelligence - ICTAI. Unidade: ICMC
Subjects: BANCO DE DADOS, PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AVALHAIS, Letrícia P. S e RODRIGUES JUNIOR, José Fernando e TRAINA, Agma Juci Machado. Fire detection on unconstrained videos using color-aware spatial modeling and motion flow. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICTAI.2016.138. Acesso em: 01 nov. 2024.
APA
Avalhais, L. P. S., Rodrigues Junior, J. F., & Traina, A. J. M. (2016). Fire detection on unconstrained videos using color-aware spatial modeling and motion flow. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICTAI.2016.138
NLM
Avalhais LPS, Rodrigues Junior JF, Traina AJM. Fire detection on unconstrained videos using color-aware spatial modeling and motion flow [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICTAI.2016.138
Vancouver
Avalhais LPS, Rodrigues Junior JF, Traina AJM. Fire detection on unconstrained videos using color-aware spatial modeling and motion flow [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICTAI.2016.138
Trabalho de evento
Vote-and-comment: modeling the coevolution of user interactions in social voting web sites (2016)
Costa, Alceu Ferraz; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Faloutsos, Christos
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining - ICDM. Unidade: ICMC
Subjects: BANCO DE DADOS, WEB SITES, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Alceu Ferraz et al. Vote-and-comment: modeling the coevolution of user interactions in social voting web sites. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICDM.2016.15. Acesso em: 01 nov. 2024.
APA
Costa, A. F., Traina, A. J. M., Traina Junior, C., & Faloutsos, C. (2016). Vote-and-comment: modeling the coevolution of user interactions in social voting web sites. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDM.2016.15
NLM
Costa AF, Traina AJM, Traina Junior C, Faloutsos C. Vote-and-comment: modeling the coevolution of user interactions in social voting web sites [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDM.2016.15
Vancouver
Costa AF, Traina AJM, Traina Junior C, Faloutsos C. Vote-and-comment: modeling the coevolution of user interactions in social voting web sites [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDM.2016.15

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