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Trabalho de evento-anais periodico
Content-based lawsuits document image retrieval (2022)
Freire, Daniela Lopes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Feltran, Leonardo Carneiro ; Nagamatsu, Lara Ayumi; Silva, Kelly Cristina Ramos da ; Firmino, Claudemir ; Ferreira, João Eduardo ; Takecian, Pedro Losco ; Carlotti, Danilo Panzeri ; Lima, Francisco Antonio Cavalcanti ; Portela, Roberto Mendes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, IME
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREIRE, Daniela Lopes et al. Content-based lawsuits document image retrieval. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_3. Acesso em: 16 nov. 2024. , 2022
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Feltran, L. C., Nagamatsu, L. A., Silva, K. C. R. da, Firmino, C., et al. (2022). Content-based lawsuits document image retrieval. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_3
NLM
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Content-based lawsuits document image retrieval [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 29-40.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
Vancouver
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Content-based lawsuits document image retrieval [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 29-40.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_3
Trabalho de evento-resumo periodico
Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases (2022)
Bêdo, Marcos Vinícius Naves; Lima, L; Koenigkam-Santos, Marcel ; Traina, Agma Juci Machado ; Azevedo-Marques, Paulo Mazzoncini de
Source: International Journal of Computer Assisted Radiology and Surgery. Conference titles: International Congress and Exhibition on Computer Assisted Radiology and Surgery - CARS. Unidades: FMRP, ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BÊDO, Marcos Vinícius Naves et al. Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/s11548-022-02635-x. Acesso em: 16 nov. 2024. , 2022
APA
Bêdo, M. V. N., Lima, L., Koenigkam-Santos, M., Traina, A. J. M., & Azevedo-Marques, P. M. de. (2022). Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Springer. doi:10.1007/s11548-022-02635-x
NLM
Bêdo MVN, Lima L, Koenigkam-Santos M, Traina AJM, Azevedo-Marques PM de. Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2022 ; 17 S13-S14.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11548-022-02635-x
Vancouver
Bêdo MVN, Lima L, Koenigkam-Santos M, Traina AJM, Azevedo-Marques PM de. Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2022 ; 17 S13-S14.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11548-022-02635-x
Trabalho de evento-anais periodico
Storing feature vectors in relational image data warehouses (2022)
Rocha, Guilherme Muzzi da ; Capelo, Piero Lima ; Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Source: Communications in Computer and Information Science. Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Guilherme Muzzi da et al. Storing feature vectors in relational image data warehouses. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15743-1_30. Acesso em: 16 nov. 2024. , 2022
APA
Rocha, G. M. da, Capelo, P. L., Carniel, A. C., & Aguiar, C. D. de. (2022). Storing feature vectors in relational image data warehouses. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-15743-1_30
NLM
Rocha GM da, Capelo PL, Carniel AC, Aguiar CD de. Storing feature vectors in relational image data warehouses [Internet]. Communications in Computer and Information Science. 2022 ; 1652 323-331.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_30
Vancouver
Rocha GM da, Capelo PL, Carniel AC, Aguiar CD de. Storing feature vectors in relational image data warehouses [Internet]. Communications in Computer and Information Science. 2022 ; 1652 323-331.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_30
Trabalho de evento-anais periodico
Lawsuits document images processing classification (2022)
Freire, Daniela Lopes ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Feltran, Leonardo Carneiro ; Nagamatsu, Lara Ayumi; Silva, Kelly Cristina Ramos da ; Firmino, Claudemir ; Ferreira, João Eduardo ; Takecian, Pedro Losco ; Carlotti, Danilo Panzeri ; Lima, Francisco Antonio Cavalcanti ; Portela, Roberto Mendes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidades: ICMC, IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREIRE, Daniela Lopes et al. Lawsuits document images processing classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-16474-3_4. Acesso em: 16 nov. 2024. , 2022
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Feltran, L. C., Nagamatsu, L. A., Silva, K. C. R. da, Firmino, C., et al. (2022). Lawsuits document images processing classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-16474-3_4
NLM
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Lawsuits document images processing classification [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 41-52.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4
Vancouver
Freire DL, Carvalho ACP de LF de, Feltran LC, Nagamatsu LA, Silva KCR da, Firmino C, Ferreira JE, Takecian PL, Carlotti DP, Lima FAC, Portela RM. Lawsuits document images processing classification [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13566 41-52.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-031-16474-3_4
Trabalho de evento-anais periodico
Deep manifold alignment for mid-grain sketch based image retrieval (2019)
Bui, Tu; Ribeiro, Leonardo; Ponti, Moacir Antonelli ; Collomosse, John
Source: Lecture Notes in Computer Science. Conference titles: Asian Conference on Computer Vision - ACCV. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, ALGORITMOS PARA IMAGENS, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, Tu et al. Deep manifold alignment for mid-grain sketch based image retrieval. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-20893-6_20. Acesso em: 16 nov. 2024. , 2019
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2019). Deep manifold alignment for mid-grain sketch based image retrieval. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-20893-6_20
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Deep manifold alignment for mid-grain sketch based image retrieval [Internet]. Lecture Notes in Computer Science. 2019 ; 11363 314-329.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-20893-6_20
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Deep manifold alignment for mid-grain sketch based image retrieval [Internet]. Lecture Notes in Computer Science. 2019 ; 11363 314-329.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-030-20893-6_20
Trabalho de evento-anais periodico
Semantic similarity group by operators for metric data (2017)
Laverde, Natan A; Cazzolato, Mirela T; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Similarity Search and Applications - SISAP. Unidade: ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, GERENCIADORES DE BANCO DE DADOS, RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAVERDE, Natan A et al. Semantic similarity group by operators for metric data. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-68474-1_17. Acesso em: 16 nov. 2024. , 2017
APA
Laverde, N. A., Cazzolato, M. T., Traina, A. J. M., & Traina Junior, C. (2017). Semantic similarity group by operators for metric data. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-68474-1_17
NLM
Laverde NA, Cazzolato MT, Traina AJM, Traina Junior C. Semantic similarity group by operators for metric data [Internet]. Lecture Notes in Computer Science. 2017 ; 10609 247-261.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-68474-1_17
Vancouver
Laverde NA, Cazzolato MT, Traina AJM, Traina Junior C. Semantic similarity group by operators for metric data [Internet]. Lecture Notes in Computer Science. 2017 ; 10609 247-261.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-68474-1_17
Trabalho de evento-anais periodico
Pivot-based similarity wide-joins fostering near-duplicate detection (2017)
Carvalho, Luiz Olmes; Santos, Lúcio Fernandes Dutra; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Lecture Notes in Business Information Processing. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BANCO DE DADOS, RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Luiz Olmes et al. Pivot-based similarity wide-joins fostering near-duplicate detection. Lecture Notes in Business Information Processing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-62386-3_4. Acesso em: 16 nov. 2024. , 2017
APA
Carvalho, L. O., Santos, L. F. D., Traina, A. J. M., & Traina Junior, C. (2017). Pivot-based similarity wide-joins fostering near-duplicate detection. Lecture Notes in Business Information Processing. Cham: Springer. doi:10.1007/978-3-319-62386-3_4
NLM
Carvalho LO, Santos LFD, Traina AJM, Traina Junior C. Pivot-based similarity wide-joins fostering near-duplicate detection [Internet]. Lecture Notes in Business Information Processing. 2017 ; 291 81-104.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-62386-3_4
Vancouver
Carvalho LO, Santos LFD, Traina AJM, Traina Junior C. Pivot-based similarity wide-joins fostering near-duplicate detection [Internet]. Lecture Notes in Business Information Processing. 2017 ; 291 81-104.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-62386-3_4
Trabalho de evento-anais periodico
Fire detection from social media images by means of instance-based learning (2015)
Bêdo, Marcos Vinícius Naves; Oliveira, Willian Dener de; Cazzolato, Mirela Teixeira; Costa, Alceu Ferraz; Blanco, Gustavo; Rodrigues Junior, José Fernando ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Lecture Notes in Business Information Processing. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA, BANCO DE DADOS, RECONHECIMENTO DE IMAGEM, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BÊDO, Marcos Vinícius Naves et al. Fire detection from social media images by means of instance-based learning. Lecture Notes in Business Information Processing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-29133-8_2. Acesso em: 16 nov. 2024. , 2015
APA
Bêdo, M. V. N., Oliveira, W. D. de, Cazzolato, M. T., Costa, A. F., Blanco, G., Rodrigues Junior, J. F., et al. (2015). Fire detection from social media images by means of instance-based learning. Lecture Notes in Business Information Processing. Cham: Springer. doi:10.1007/978-3-319-29133-8_2
NLM
Bêdo MVN, Oliveira WD de, Cazzolato MT, Costa AF, Blanco G, Rodrigues Junior JF, Traina AJM, Traina Junior C. Fire detection from social media images by means of instance-based learning [Internet]. Lecture Notes in Business Information Processing. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-29133-8_2
Vancouver
Bêdo MVN, Oliveira WD de, Cazzolato MT, Costa AF, Blanco G, Rodrigues Junior JF, Traina AJM, Traina Junior C. Fire detection from social media images by means of instance-based learning [Internet]. Lecture Notes in Business Information Processing. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-29133-8_2

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