ReP USP - Resultado da busca

Artigo de periodico
ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making (2023)
Linhares, Claudio Douglas Gouveia ; Lima, Daniel Mário de ; Ponciano, Jean Roberto ; Olivatto, Mauro Marcel ; Gutierrez, Marco Antonio ; Poco, Jorge ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, INTERAÇÃO USUÁRIO-COMPUTADOR, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINHARES, Claudio Douglas Gouveia et al. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. 10, p. 4031-4046, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3175626. Acesso em: 10 dez. 2023.
APA
Linhares, C. D. G., Lima, D. M. de, Ponciano, J. R., Olivatto, M. M., Gutierrez, M. A., Poco, J., et al. (2023). ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making. IEEE Transactions on Visualization and Computer Graphics, 29( 10), 4031-4046. doi:10.1109/TVCG.2022.3175626
NLM
Linhares CDG, Lima DM de, Ponciano JR, Olivatto MM, Gutierrez MA, Poco J, Traina Junior C, Traina AJM. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 10): 4031-4046.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
Vancouver
Linhares CDG, Lima DM de, Ponciano JR, Olivatto MM, Gutierrez MA, Poco J, Traina Junior C, Traina AJM. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 10): 4031-4046.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
Trabalho de evento
Similarity grouping by influence: exploring result diversification in similarity group-by operator (2023)
Oliveira, Willian Dener de ; Lauton, Anna Júlia Costa; Traina Junior, Caetano ; Santos, Lúcio Fernandes Dutra
Source: Anais. Conference titles: Simpósio Brasileiro de Bancos de Dados - SBBD. Unidade: ICMC
Subjects: GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Willian Dener de et al. Similarity grouping by influence: exploring result diversification in similarity group-by operator. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/sbbd.2023.233430. Acesso em: 10 dez. 2023.
APA
Oliveira, W. D. de, Lauton, A. J. C., Traina Junior, C., & Santos, L. F. D. (2023). Similarity grouping by influence: exploring result diversification in similarity group-by operator. In Anais. Porto Alegre: SBC. doi:10.5753/sbbd.2023.233430
NLM
Oliveira WD de, Lauton AJC, Traina Junior C, Santos LFD. Similarity grouping by influence: exploring result diversification in similarity group-by operator [Internet]. Anais. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/sbbd.2023.233430
Vancouver
Oliveira WD de, Lauton AJC, Traina Junior C, Santos LFD. Similarity grouping by influence: exploring result diversification in similarity group-by operator [Internet]. Anais. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/sbbd.2023.233430
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 10 dez. 2023.
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 2023 dez. 10 ] 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 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00202
Trabalho de evento
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings (2023)
Aguiar, Erikson Júlio de ; Costa, Márcus Vinícius Lobo ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Erikson Júlio de et al. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00184. Acesso em: 10 dez. 2023.
APA
Aguiar, E. J. de, Costa, M. V. L., Traina Junior, C., & Traina, A. J. M. (2023). Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00184
NLM
Aguiar EJ de, Costa MVL, Traina Junior C, Traina AJM. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings [Internet]. Proceedings. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00184
Vancouver
Aguiar EJ de, Costa MVL, Traina Junior C, Traina AJM. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings [Internet]. Proceedings. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00184
Trabalho de evento
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model (2023)
Costa, Márcus Vinícius Lobo ; Aguiar, Erikson Júlio de ; Rodrigues, Lucas Santiago ; Ramos, Jonathan da Silva ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Márcus Vinícius Lobo et al. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00272. Acesso em: 10 dez. 2023.
APA
Costa, M. V. L., Aguiar, E. J. de, Rodrigues, L. S., Ramos, J. da S., Traina Junior, C., & Traina, A. J. M. (2023). A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00272
NLM
Costa MVL, Aguiar EJ de, Rodrigues LS, Ramos J da S, Traina Junior C, Traina AJM. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model [Internet]. Proceedings. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00272
Vancouver
Costa MVL, Aguiar EJ de, Rodrigues LS, Ramos J da S, Traina Junior C, Traina AJM. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model [Internet]. Proceedings. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00272
Trabalho de evento
Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures (2022)
Bêdo, Marcos Vinícius Naves; Ramos, Jonathan da Silva ; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Azevedo-Marques, Paulo Mazzoncini de
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, DIAGNÓSTICO POR IMAGEM, RESSONÂNCIA MAGNÉTICA, OSTEOGÊNESE IMPERFEITA, OSTEOPOROSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BÊDO, Marcos Vinícius Naves et al. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CBMS55023.2022.00020. Acesso em: 10 dez. 2023.
APA
Bêdo, M. V. N., Ramos, J. da S., Traina, A. J. M., Traina Junior, C., Nogueira-Barbosa, M. H., & Azevedo-Marques, P. M. de. (2022). Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS55023.2022.00020
NLM
Bêdo MVN, Ramos J da S, Traina AJM, Traina Junior C, Nogueira-Barbosa MH, Azevedo-Marques PM de. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00020
Vancouver
Bêdo MVN, Ramos J da S, Traina AJM, Traina Junior C, Nogueira-Barbosa MH, Azevedo-Marques PM de. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00020
Trabalho de evento
Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning (2022)
Ramos, Jonathan da Silva ; Aguiar, Erikson Júlio de ; Belizario, Ivar Vargas ; Costa, Márcus Vinícius Lobo ; Maciel, Jamilly Gomes; Cazzolato, Mirela Teixeira ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: APRENDIZADO COMPUTACIONAL, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, DIAGNÓSTICO POR IMAGEM, OSTEOGÊNESE IMPERFEITA, COLUNA VERTEBRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Jonathan da Silva et al. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CBMS55023.2022.00021. Acesso em: 10 dez. 2023.
APA
Ramos, J. da S., Aguiar, E. J. de, Belizario, I. V., Costa, M. V. L., Maciel, J. G., Cazzolato, M. T., et al. (2022). Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS55023.2022.00021
NLM
Ramos J da S, Aguiar EJ de, Belizario IV, Costa MVL, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00021
Vancouver
Ramos J da S, Aguiar EJ de, Belizario IV, Costa MVL, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00021
Trabalho de evento-anais periodico
Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases (2022)
Aguiar, Erikson Júlio de ; Marcomini, Karem Daiane ; Quirino, Felipe Antunes; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings of SPIE. Conference titles: SPIE Medical Imaging. Unidades: EP, ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, RADIOGRAFIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Erikson Júlio de et al. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2611199. Acesso em: 10 dez. 2023. , 2022
APA
Aguiar, E. J. de, Marcomini, K. D., Quirino, F. A., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2022). Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2611199
NLM
Aguiar EJ de, Marcomini KD, Quirino FA, Gutierrez MA, Traina Junior C, Traina AJM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases [Internet]. Proceedings of SPIE. 2022 ; 12033 120332P-1-120332P-7.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1117/12.2611199
Vancouver
Aguiar EJ de, Marcomini KD, Quirino FA, Gutierrez MA, Traina Junior C, Traina AJM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases [Internet]. Proceedings of SPIE. 2022 ; 12033 120332P-1-120332P-7.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1117/12.2611199
Artigo de periodico
FeatSet+: visual features extracted from public image datasets (2022)
Cazzolato, Mirela Teixeira ; Scabora, Lucas de Carvalho ; Zabot, Guilherme Felipe ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Journal of Information and Data Management - JIDM. Unidades: EP, ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela Teixeira et al. FeatSet+: visual features extracted from public image datasets. Journal of Information and Data Management - JIDM, v. 13, n. 1, p. 33-48, 2022Tradução . . Disponível em: https://doi.org/10.5753/jidm.2022.2328. Acesso em: 10 dez. 2023.
APA
Cazzolato, M. T., Scabora, L. de C., Zabot, G. F., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2022). FeatSet+: visual features extracted from public image datasets. Journal of Information and Data Management - JIDM, 13( 1), 33-48. doi:10.5753/jidm.2022.2328
NLM
Cazzolato MT, Scabora L de C, Zabot GF, Gutierrez MA, Traina Junior C, Traina AJM. FeatSet+: visual features extracted from public image datasets [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 1): 33-48.[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/jidm.2022.2328
Vancouver
Cazzolato MT, Scabora L de C, Zabot GF, Gutierrez MA, Traina Junior C, Traina AJM. FeatSet+: visual features extracted from public image datasets [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 1): 33-48.[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/jidm.2022.2328
Artigo de periodico
Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases (2022)
Cazzolato, Mirela Teixeira ; Rodrigues, Lucas Santiago ; Ribeiro, Marcela Xavier ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Journal of Information and Data Management - JIDM. Unidades: EP, ICMC
Subjects: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, VISUALIZAÇÃO, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela Teixeira et al. Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases. Journal of Information and Data Management - JIDM, v. 13, n. 2, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.5753/jidm.2022.2484. Acesso em: 10 dez. 2023.
APA
Cazzolato, M. T., Rodrigues, L. S., Ribeiro, M. X., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2022). Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases. Journal of Information and Data Management - JIDM, 13( 2), Se 2022. doi:10.5753/jidm.2022.2484
NLM
Cazzolato MT, Rodrigues LS, Ribeiro MX, Gutierrez MA, Traina Junior C, Traina AJM. Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 2): Se 2022.[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/jidm.2022.2484
Vancouver
Cazzolato MT, Rodrigues LS, Ribeiro MX, Gutierrez MA, Traina Junior C, Traina AJM. Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 2): Se 2022.[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/jidm.2022.2484
Trabalho de evento-anais periodico
MiDaS: extract golden results from knowledge discovery even over incomplete databases (2022)
Rodrigues, Lucas Santiago ; Vespa, Thiago Galbiatti ; Eleutério, Igor Alberte Rodrigues; Oliveira, Willian Dener de ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC
Subjects: DESCOBERTA DE CONHECIMENTO, GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Lucas Santiago et al. MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08760-8_54. Acesso em: 10 dez. 2023. , 2022
APA
Rodrigues, L. S., Vespa, T. G., Eleutério, I. A. R., Oliveira, W. D. de, Traina, A. J. M., & Traina Junior, C. (2022). MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08760-8_54
NLM
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
Vancouver
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
Artigo de periodico-carta/editorial
Importance of the algorithm as a tool for expert decision making [Editorial]: artificial intelligence in ophthalmology (2022)
Louzada, Ricardo Noguera; Belizario, Ivar Vargas ; Traina, Agma Juci Machado ; Alves, Milton Ruiz
Source: eOftalmo. Unidades: ICMC, FM
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, TECNOLOGIAS DA SAÚDE, OFTALMOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Ricardo Noguera et al. Importance of the algorithm as a tool for expert decision making [Editorial]: artificial intelligence in ophthalmology. eOftalmo. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.17545/eOftalmo/2022.0013. Acesso em: 10 dez. 2023. , 2022
APA
Louzada, R. N., Belizario, I. V., Traina, A. J. M., & Alves, M. R. (2022). Importance of the algorithm as a tool for expert decision making [Editorial]: artificial intelligence in ophthalmology. eOftalmo. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.17545/eOftalmo/2022.0013
NLM
Louzada RN, Belizario IV, Traina AJM, Alves MR. Importance of the algorithm as a tool for expert decision making [Editorial]: artificial intelligence in ophthalmology [Internet]. eOftalmo. 2022 ; 8( 3): 61-64.[citado 2023 dez. 10 ] Available from: https://doi.org/10.17545/eOftalmo/2022.0013
Vancouver
Louzada RN, Belizario IV, Traina AJM, Alves MR. Importance of the algorithm as a tool for expert decision making [Editorial]: artificial intelligence in ophthalmology [Internet]. eOftalmo. 2022 ; 8( 3): 61-64.[citado 2023 dez. 10 ] Available from: https://doi.org/10.17545/eOftalmo/2022.0013
Trabalho de evento-anais periodico
ORTree: tuning diversified similarity queries by means of data partitioning (2022)
Novaes, João Victor de Oliveira ; Santos, Lúcio Fernandes Dutra ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Lecture Notes in Computer Science. Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, GERENCIADORES DE BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOVAES, João Victor de Oliveira et al. ORTree: tuning diversified similarity queries by means of data partitioning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15740-0_13. Acesso em: 10 dez. 2023. , 2022
APA
Novaes, J. V. de O., Santos, L. F. D., Traina, A. J. M., & Traina Junior, C. (2022). ORTree: tuning diversified similarity queries by means of data partitioning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-15740-0_13
NLM
Novaes JV de O, Santos LFD, Traina AJM, Traina Junior C. ORTree: tuning diversified similarity queries by means of data partitioning [Internet]. Lecture Notes in Computer Science. 2022 ; 13389 165-178.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-031-15740-0_13
Vancouver
Novaes JV de O, Santos LFD, Traina AJM, Traina Junior C. ORTree: tuning diversified similarity queries by means of data partitioning [Internet]. Lecture Notes in Computer Science. 2022 ; 13389 165-178.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-031-15740-0_13
Artigo de periodico
J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval (2021)
Novaes, João Victor de Oliveira ; Santos, Lúcio Fernandes Dutra; Carvalho, Luiz Olmes; Oliveira, Daniel de ; Bêdo, Marcos Vinícius Naves; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOVAES, João Victor de Oliveira et al. J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval. Journal of Information and Data Management - JIDM, v. 12, n. 2, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.5753/jidm.2021.1990. Acesso em: 10 dez. 2023.
APA
Novaes, J. V. de O., Santos, L. F. D., Carvalho, L. O., Oliveira, D. de, Bêdo, M. V. N., Traina, A. J. M., & Traina Junior, C. (2021). J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval. Journal of Information and Data Management - JIDM, 12( 2), Se 2021. doi:10.5753/jidm.2021.1990
NLM
Novaes JV de O, Santos LFD, Carvalho LO, Oliveira D de, Bêdo MVN, Traina AJM, Traina Junior C. J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval [Internet]. Journal of Information and Data Management - JIDM. 2021 ; 12( 2): Se 2021.[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/jidm.2021.1990
Vancouver
Novaes JV de O, Santos LFD, Carvalho LO, Oliveira D de, Bêdo MVN, Traina AJM, Traina Junior C. J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval [Internet]. Journal of Information and Data Management - JIDM. 2021 ; 12( 2): Se 2021.[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/jidm.2021.1990
Trabalho de evento
VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams (2021)
Moriyama, André Toshio Asanome; Rodrigues, Lucas Santiago ; Scabora, Lucas de Carvalho ; Cazzolato, Mirela Teixeira ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: ESTRUTURAS DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORIYAMA, André Toshio Asanome et al. VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3412841.3441915. Acesso em: 10 dez. 2023.
APA
Moriyama, A. T. A., Rodrigues, L. S., Scabora, L. de C., Cazzolato, M. T., Traina, A. J. M., & Traina Junior, C. (2021). VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams. In Proceedings. New York: ACM. doi:10.1145/3412841.3441915
NLM
Moriyama ATA, Rodrigues LS, Scabora L de C, Cazzolato MT, Traina AJM, Traina Junior C. VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1145/3412841.3441915
Vancouver
Moriyama ATA, Rodrigues LS, Scabora L de C, Cazzolato MT, Traina AJM, Traina Junior C. VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1145/3412841.3441915
Artigo de periodico
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine (2021)
Cazzolato, Mirela Teixeira ; Ramos, Jonathan da Silva ; Rodrigues, Lucas Santiago ; Scabora, Lucas de Carvalho ; Chino, Daniel Yoshinobu Takada ; Jorge, Ana Elisa Serafim ; Azevedo-Marques, Paulo Mazzoncini de ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Computers in Biology and Medicine. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, TELEMEDICINA, ÚLCERA CUTÂNEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela Teixeira et al. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, v. 134, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2021.104489. Acesso em: 10 dez. 2023.
APA
Cazzolato, M. T., Ramos, J. da S., Rodrigues, L. S., Scabora, L. de C., Chino, D. Y. T., Jorge, A. E. S., et al. (2021). The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, 134, 1-17. doi:10.1016/j.compbiomed.2021.104489
NLM
Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489
Vancouver
Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489
Trabalho de evento
BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging (2021)
Ramos, Jonathan da Silva ; Maciel, Jamilly Gomes; Cazzolato, Mirela Teixeira ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, DENSITOMETRIA ÓSSEA, OSTEOPOROSE, FRATURAS, VÉRTEBRAS LOMBARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Jonathan da Silva et al. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00089. Acesso em: 10 dez. 2023.
APA
Ramos, J. da S., Maciel, J. G., Cazzolato, M. T., Traina Junior, C., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2021). BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00089
NLM
Ramos J da S, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00089
Vancouver
Ramos J da S, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00089
Trabalho de evento
Multilevel clustering explainer: an explainable approach to electronic health records (2021)
Clementino Jr, José Maria ; Faiçal, Bruno Squizato ; Bones, Christian Cesar ; Traina Junior, Caetano ; Gutierrez, Marco Antonio ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CLEMENTINO JR, José Maria et al. Multilevel clustering explainer: an explainable approach to electronic health records. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00073. Acesso em: 10 dez. 2023.
APA
Clementino Jr, J. M., Faiçal, B. S., Bones, C. C., Traina Junior, C., Gutierrez, M. A., & Traina, A. J. M. (2021). Multilevel clustering explainer: an explainable approach to electronic health records. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00073
NLM
Clementino Jr JM, Faiçal BS, Bones CC, Traina Junior C, Gutierrez MA, Traina AJM. Multilevel clustering explainer: an explainable approach to electronic health records [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00073
Vancouver
Clementino Jr JM, Faiçal BS, Bones CC, Traina Junior C, Gutierrez MA, Traina AJM. Multilevel clustering explainer: an explainable approach to electronic health records [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00073
Trabalho de evento
FeatSet: a compilation of visual features extracted from public image datasets (2021)
Cazzolato, Mirela Teixeira ; Scabora, Lucas de Carvalho ; Zabot, Guilherme Felipe ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Anais. Conference titles: Simpósio Brasileiro de Banco de Dados - SBBD. Unidades: EP, ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela Teixeira et al. FeatSet: a compilation of visual features extracted from public image datasets. 2021, Anais.. Porto Alegre: SBC, 2021. Disponível em: https://doi.org/10.5753/dsw.2021.17417. Acesso em: 10 dez. 2023.
APA
Cazzolato, M. T., Scabora, L. de C., Zabot, G. F., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2021). FeatSet: a compilation of visual features extracted from public image datasets. In Anais. Porto Alegre: SBC. doi:10.5753/dsw.2021.17417
NLM
Cazzolato MT, Scabora L de C, Zabot GF, Gutierrez MA, Traina Junior C, Traina AJM. FeatSet: a compilation of visual features extracted from public image datasets [Internet]. Anais. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/dsw.2021.17417
Vancouver
Cazzolato MT, Scabora L de C, Zabot GF, Gutierrez MA, Traina Junior C, Traina AJM. FeatSet: a compilation of visual features extracted from public image datasets [Internet]. Anais. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/dsw.2021.17417
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 dez. 2023.
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 2023 dez. 10 ] 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 2023 dez. 10 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration