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Trabalho de evento
KluSIM: speeding up k-medoids clustering over dimensional data with metric access method (2024)
Teixeira, Larissa Roberta ; Eleutério, Igor Alberte Rodrigues ; Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
TEIXEIRA, Larissa Roberta et al. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012599900003690. Acesso em: 12 jun. 2024.
APA
Teixeira, L. R., Eleutério, I. A. R., Cazzolato, M. T., Gutierrez, M. A., Traina, A. J. M., & Traina Junior, C. (2024). KluSIM: speeding up k-medoids clustering over dimensional data with metric access method. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012599900003690
NLM
Teixeira LR, Eleutério IAR, Cazzolato MT, Gutierrez MA, Traina AJM, Traina Junior C. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method [Internet]. Proceedings. 2024 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0012599900003690
Vancouver
Teixeira LR, Eleutério IAR, Cazzolato MT, Gutierrez MA, Traina AJM, Traina Junior C. KluSIM: speeding up k-medoids clustering over dimensional data with metric access method [Internet]. Proceedings. 2024 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0012599900003690
Trabalho de evento
Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases (2024)
Silva, William Zaniboni ; Eleutério, Igor Alberte Rodrigues ; Teixeira, Larissa Roberta ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA
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ABNT
SILVA, William Zaniboni et al. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012606300003690. Acesso em: 12 jun. 2024.
APA
Silva, W. Z., Eleutério, I. A. R., Teixeira, L. R., Traina, A. J. M., & Traina Junior, C. (2024). Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012606300003690
NLM
Silva WZ, Eleutério IAR, Teixeira LR, Traina AJM, Traina Junior C. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases [Internet]. Proceedings. 2024 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0012606300003690
Vancouver
Silva WZ, Eleutério IAR, Teixeira LR, Traina AJM, Traina Junior C. Similarity-slim extension: reducing financial and computational costs of similarity queries in document collections in NoSQL databases [Internet]. Proceedings. 2024 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0012606300003690
Trabalho de evento
Efficient parameter mining and freezing for continual object detection (2024)
Menezes, Angelo Garangau ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL
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ABNT
MENEZES, Angelo Garangau et al. Efficient parameter mining and freezing for continual object detection. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012362300003660. Acesso em: 12 jun. 2024.
APA
Menezes, A. G., Peterlevitz, A. J., Chinelatto, M. A., & Carvalho, A. C. P. de L. F. de. (2024). Efficient parameter mining and freezing for continual object detection. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012362300003660
NLM
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0012362300003660
Vancouver
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0012362300003660
Trabalho de evento
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers (2023)
Neves, Leandro Alves ; Martinez, João Manuel Cardoso; Longo, Leonardo Henrique da Costa; Roberto, Guilherme Freire ; Tosta, Thaína Aparecida Azevedo ; Faria, Paulo Rogério de ; Loyola, Adriano Mota ; Cardoso, Sérgio Vitorino ; Silva, Adriano Barbosa ; Nascimento, Marcelo Zanchetta do ; Rozendo, Guilherme Botazzo
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, NEOPLASIAS MAMÁRIAS, NEOPLASIAS HEPÁTICAS, NEOPLASIAS DO COLON, NEOPLASIAS RETAIS, ODONTODISPLASIA
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NEVES, Leandro Alves et al. Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers. 2023, Anais.. Setúbal: SciTePress, 2023. Disponível em: https://doi.org/10.5220/0011839400003467. Acesso em: 12 jun. 2024.
APA
Neves, L. A., Martinez, J. M. C., Longo, L. H. da C., Roberto, G. F., Tosta, T. A. A., Faria, P. R. de, et al. (2023). Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers. In Proceedings. Setúbal: SciTePress. doi:10.5220/0011839400003467
NLM
Neves LA, Martinez JMC, Longo LH da C, Roberto GF, Tosta TAA, Faria PR de, Loyola AM, Cardoso SV, Silva AB, Nascimento MZ do, Rozendo GB. Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers [Internet]. Proceedings. 2023 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011839400003467
Vancouver
Neves LA, Martinez JMC, Longo LH da C, Roberto GF, Tosta TAA, Faria PR de, Loyola AM, Cardoso SV, Silva AB, Nascimento MZ do, Rozendo GB. Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers [Internet]. Proceedings. 2023 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011839400003467
Trabalho de evento
Counteracting popularity-bias and improving diversity through calibrated recommendations (2023)
Sacilotti, Andre ; Souza, Rodrigo Ferrari de ; Manzato, Marcelo Garcia
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL
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ABNT
SACILOTTI, Andre e SOUZA, Rodrigo Ferrari de e MANZATO, Marcelo Garcia. Counteracting popularity-bias and improving diversity through calibrated recommendations. 2023, Anais.. Setúbal: SciTePress, 2023. Disponível em: https://doi.org/10.5220/0011846000003467. Acesso em: 12 jun. 2024.
APA
Sacilotti, A., Souza, R. F. de, & Manzato, M. G. (2023). Counteracting popularity-bias and improving diversity through calibrated recommendations. In Proceedings. Setúbal: SciTePress. doi:10.5220/0011846000003467
NLM
Sacilotti A, Souza RF de, Manzato MG. Counteracting popularity-bias and improving diversity through calibrated recommendations [Internet]. Proceedings. 2023 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011846000003467
Vancouver
Sacilotti A, Souza RF de, Manzato MG. Counteracting popularity-bias and improving diversity through calibrated recommendations [Internet]. Proceedings. 2023 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011846000003467
Trabalho de evento
Design principles and a software reference architecture for big data question answering systems (2023)
Moraes, Leonardo Mauro Pereira ; Jardim, Pedro Calciolari ; Aguiar, Cristina Dutra de
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BIG DATA, ARQUITETURA DE SOFTWARE
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ABNT
MORAES, Leonardo Mauro Pereira e JARDIM, Pedro Calciolari e AGUIAR, Cristina Dutra de. Design principles and a software reference architecture for big data question answering systems. 2023, Anais.. Setúbal: SciTePress, 2023. Disponível em: https://doi.org/10.5220/0011842700003467. Acesso em: 12 jun. 2024.
APA
Moraes, L. M. P., Jardim, P. C., & Aguiar, C. D. de. (2023). Design principles and a software reference architecture for big data question answering systems. In Proceedings. Setúbal: SciTePress. doi:10.5220/0011842700003467
NLM
Moraes LMP, Jardim PC, Aguiar CD de. Design principles and a software reference architecture for big data question answering systems [Internet]. Proceedings. 2023 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011842700003467
Vancouver
Moraes LMP, Jardim PC, Aguiar CD de. Design principles and a software reference architecture for big data question answering systems [Internet]. Proceedings. 2023 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011842700003467
Trabalho de evento
FAIR principles and big data: a software reference architecture for open science (2022)
Castro, João Pedro de Carvalho ; Romero, Lucas de Medeiros França ; Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BIG DATA, ARQUITETURA DE SOFTWARE
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ABNT
CASTRO, João Pedro de Carvalho et al. FAIR principles and big data: a software reference architecture for open science. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0011045500003179. Acesso em: 12 jun. 2024.
APA
Castro, J. P. de C., Romero, L. de M. F., Carniel, A. C., & Aguiar, C. D. de. (2022). FAIR principles and big data: a software reference architecture for open science. In Proceedings. Lisboa: SciTePress. doi:10.5220/0011045500003179
NLM
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. FAIR principles and big data: a software reference architecture for open science [Internet]. Proceedings. 2022 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011045500003179
Vancouver
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. FAIR principles and big data: a software reference architecture for open science [Internet]. Proceedings. 2022 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0011045500003179
Trabalho de evento
Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement (2022)
Castro, Augusto Ribeiro ; Grassi Júnior, Valdir ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
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ABNT
CASTRO, Augusto Ribeiro e GRASSI JÚNIOR, Valdir e PONTI, Moacir Antonelli. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010915300003124. Acesso em: 12 jun. 2024.
APA
Castro, A. R., Grassi Júnior, V., & Ponti, M. A. (2022). Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010915300003124
NLM
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0010915300003124
Vancouver
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0010915300003124
Trabalho de evento
Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos (2021)
Nazaré, Tiago Santana de ; Mello, Rodrigo Fernandes de ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, VÍDEO
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ABNT
NAZARÉ, Tiago Santana de e MELLO, Rodrigo Fernandes de e PONTI, Moacir Antonelli. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010347907530762. Acesso em: 12 jun. 2024.
APA
Nazaré, T. S. de, Mello, R. F. de, & Ponti, M. A. (2021). Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010347907530762
NLM
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0010347907530762
Vancouver
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0010347907530762
Trabalho de evento
A systematic mapping on the use of data mining for the face-to-face school dropout problem (2021)
Sousa, Leandro Rondado de; Carvalho, Veronica Oliveira de ; Penteado, Bruno Elias ; Affonso, Frank José
Source: Proceedings. Conference titles: International Conference on Computer Supported Education - CSEDU. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, REVISÃO SISTEMÁTICA, EVASÃO ESCOLAR
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ABNT
SOUSA, Leandro Rondado de et al. A systematic mapping on the use of data mining for the face-to-face school dropout problem. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010476300360047. Acesso em: 12 jun. 2024.
APA
Sousa, L. R. de, Carvalho, V. O. de, Penteado, B. E., & Affonso, F. J. (2021). A systematic mapping on the use of data mining for the face-to-face school dropout problem. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010476300360047
NLM
Sousa LR de, Carvalho VO de, Penteado BE, Affonso FJ. A systematic mapping on the use of data mining for the face-to-face school dropout problem [Internet]. Proceedings. 2021 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0010476300360047
Vancouver
Sousa LR de, Carvalho VO de, Penteado BE, Affonso FJ. A systematic mapping on the use of data mining for the face-to-face school dropout problem [Internet]. Proceedings. 2021 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0010476300360047
Trabalho de evento
Dropout through extended association rule netwoks: a complementary view (2020)
Dall’Agnol, Maicon; Souza, Leandro Rondado de; Padua, Renan de ; Carvalho, Veronica Oliveira de ; Rezende, Solange Oliveira
Source: Proceedings. Conference titles: International Conference on Computer Supported Education - CSEDU. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, EVASÃO ESCOLAR
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ABNT
DALL’AGNOL, Maicon et al. Dropout through extended association rule netwoks: a complementary view. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009354300890096. Acesso em: 12 jun. 2024.
APA
Dall’Agnol, M., Souza, L. R. de, Padua, R. de, Carvalho, V. O. de, & Rezende, S. O. (2020). Dropout through extended association rule netwoks: a complementary view. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009354300890096
NLM
Dall’Agnol M, Souza LR de, Padua R de, Carvalho VO de, Rezende SO. Dropout through extended association rule netwoks: a complementary view [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009354300890096
Vancouver
Dall’Agnol M, Souza LR de, Padua R de, Carvalho VO de, Rezende SO. Dropout through extended association rule netwoks: a complementary view [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009354300890096
Trabalho de evento
Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images (2020)
Saraiva, Aratã Andrade ; Lopes, Luciano ; Pimentel, Pedro Mateus Cunha ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: REDES NEURAIS, PROCESSAMENTO DE IMAGENS, TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, DIAGNÓSTICO POR COMPUTADOR, NEOPLASIAS PULMONARES
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ABNT
SARAIVA, Aratã Andrade et al. Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009178902920297. Acesso em: 12 jun. 2024.
APA
Saraiva, A. A., Lopes, L., Pimentel, P. M. C., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009178902920297
NLM
Saraiva AA, Lopes L, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009178902920297
Vancouver
Saraiva AA, Lopes L, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009178902920297
Trabalho de evento
Informatics as support for changes in health policy: a case in obstetrics (2020)
Gelatti, Giovana Jaskulski ; Rodrigues, Pedro Pereira ; Correia, Ricardo João Cruz
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO HOSPITALAR, CESÁREA
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ABNT
GELATTI, Giovana Jaskulski e RODRIGUES, Pedro Pereira e CORREIA, Ricardo João Cruz. Informatics as support for changes in health policy: a case in obstetrics. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009173807450749. Acesso em: 12 jun. 2024.
APA
Gelatti, G. J., Rodrigues, P. P., & Correia, R. J. C. (2020). Informatics as support for changes in health policy: a case in obstetrics. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009173807450749
NLM
Gelatti GJ, Rodrigues PP, Correia RJC. Informatics as support for changes in health policy: a case in obstetrics [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009173807450749
Vancouver
Gelatti GJ, Rodrigues PP, Correia RJC. Informatics as support for changes in health policy: a case in obstetrics [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009173807450749
Trabalho de evento
Classification of optical coherence tomography using convolutional neural networks (2020)
Saraiva, Aratã Andrade ; Santos, Domingos Bruno S ; Pimentel, Pedro Mateus Cunha ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, TOMOGRAFIA DE COERÊNCIA ÓPTICA, DIAGNÓSTICO POR COMPUTADOR
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ABNT
SARAIVA, Aratã Andrade et al. Classification of optical coherence tomography using convolutional neural networks. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009091001680175. Acesso em: 12 jun. 2024.
APA
Saraiva, A. A., Santos, D. B. S., Pimentel, P. M. C., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Classification of optical coherence tomography using convolutional neural networks. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009091001680175
NLM
Saraiva AA, Santos DBS, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Classification of optical coherence tomography using convolutional neural networks [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009091001680175
Vancouver
Saraiva AA, Santos DBS, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Classification of optical coherence tomography using convolutional neural networks [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009091001680175
Trabalho de evento
Chikungunya virus inhibitor study based on molecular docking experiments (2020)
Saraiva, Aratã Andrade ; Soares, Jeferson do Nascimento ; Castro, Felipe Miranda ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: BIOINFORMÁTICA, VÍRUS CHIKUNGUNYA, FÁRMACOS
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ABNT
SARAIVA, Aratã Andrade et al. Chikungunya virus inhibitor study based on molecular docking experiments. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009118602000205. Acesso em: 12 jun. 2024.
APA
Saraiva, A. A., Soares, J. do N., Castro, F. M., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Chikungunya virus inhibitor study based on molecular docking experiments. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009118602000205
NLM
Saraiva AA, Soares J do N, Castro FM, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Chikungunya virus inhibitor study based on molecular docking experiments [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009118602000205
Vancouver
Saraiva AA, Soares J do N, Castro FM, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Chikungunya virus inhibitor study based on molecular docking experiments [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009118602000205
Trabalho de evento
Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Proceedings. Conference titles: International Conference on Agents and Artificial Intelligence - ICAART. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008937004630474. Acesso em: 12 jun. 2024.
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008937004630474
NLM
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0008937004630474
Vancouver
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0008937004630474
Trabalho de evento
Visualizing learning space in neural network hidden layers (2020)
Cantareira, Gabriel Dias; Paulovich, Fernando Vieira ; Etemad, Elham
Source: Proceedings. Conference titles: International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANTAREIRA, Gabriel Dias e PAULOVICH, Fernando Vieira e ETEMAD, Elham. Visualizing learning space in neural network hidden layers. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009168901100121. Acesso em: 12 jun. 2024.
APA
Cantareira, G. D., Paulovich, F. V., & Etemad, E. (2020). Visualizing learning space in neural network hidden layers. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009168901100121
NLM
Cantareira GD, Paulovich FV, Etemad E. Visualizing learning space in neural network hidden layers [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009168901100121
Vancouver
Cantareira GD, Paulovich FV, Etemad E. Visualizing learning space in neural network hidden layers [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0009168901100121
Trabalho de evento
Classification of respiratory sounds with convolutional neural network (2020)
Saraiva, Aratã Andrade ; Santos, Domingos Bruno S ; Alves, Francisco A ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Aratã Andrade et al. Classification of respiratory sounds with convolutional neural network. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008965101380144. Acesso em: 12 jun. 2024.
APA
Saraiva, A. A., Santos, D. B. S., Alves, F. A., Sousa, J. V. M., Ferreira, N. M. F., Soares, S., & Valente, A. (2020). Classification of respiratory sounds with convolutional neural network. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008965101380144
NLM
Saraiva AA, Santos DBS, Alves FA, Sousa JVM, Ferreira NMF, Soares S, Valente A. Classification of respiratory sounds with convolutional neural network [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0008965101380144
Vancouver
Saraiva AA, Santos DBS, Alves FA, Sousa JVM, Ferreira NMF, Soares S, Valente A. Classification of respiratory sounds with convolutional neural network [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0008965101380144
Trabalho de evento
Visualization to assist interpretation of the multilevel paradigm in bipartite graphs (2020)
Cintra, Diego Silva ; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade ; Oliveira, Maria Cristina Ferreira de
Source: Proceedings. Conference titles: International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidades: ICMC, FFCLRP
Subjects: VISUALIZAÇÃO, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CINTRA, Diego Silva et al. Visualization to assist interpretation of the multilevel paradigm in bipartite graphs. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008903501330140. Acesso em: 12 jun. 2024.
APA
Cintra, D. S., Valejo, A. D. B., Lopes, A. de A., & Oliveira, M. C. F. de. (2020). Visualization to assist interpretation of the multilevel paradigm in bipartite graphs. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008903501330140
NLM
Cintra DS, Valejo ADB, Lopes A de A, Oliveira MCF de. Visualization to assist interpretation of the multilevel paradigm in bipartite graphs [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0008903501330140
Vancouver
Cintra DS, Valejo ADB, Lopes A de A, Oliveira MCF de. Visualization to assist interpretation of the multilevel paradigm in bipartite graphs [Internet]. Proceedings. 2020 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0008903501330140
Trabalho de evento
Detecting influencers in very large social networks of games (2019)
Moraes, Leonardo Mauro Pereira; Cordeiro, Robson Leonardo Ferreira
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, JOGOS DE COMPUTADOR, MARKETING
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORAES, Leonardo Mauro Pereira e CORDEIRO, Robson Leonardo Ferreira. Detecting influencers in very large social networks of games. 2019, Anais.. Lisboa: SciTePress, 2019. Disponível em: https://doi.org/10.5220/0007728200930103. Acesso em: 12 jun. 2024.
APA
Moraes, L. M. P., & Cordeiro, R. L. F. (2019). Detecting influencers in very large social networks of games. In Proceedings. Lisboa: SciTePress. doi:10.5220/0007728200930103
NLM
Moraes LMP, Cordeiro RLF. Detecting influencers in very large social networks of games [Internet]. Proceedings. 2019 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0007728200930103
Vancouver
Moraes LMP, Cordeiro RLF. Detecting influencers in very large social networks of games [Internet]. Proceedings. 2019 ;[citado 2024 jun. 12 ] Available from: https://doi.org/10.5220/0007728200930103

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