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Trabalho de evento
ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts (2025)
Proios, Dimitrios ; Bornet, Alban ; Yazdani, Anthony ; Rodrigues Junior, José Fernando ; Teodoro, Douglas
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, BENCHMARKS, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, UNIDADES DE TERAPIA INTENSIVA
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ABNT
PROIOS, Dimitrios et al. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00022. Acesso em: 12 nov. 2025.
APA
Proios, D., Bornet, A., Yazdani, A., Rodrigues Junior, J. F., & Teodoro, D. (2025). ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00022
NLM
Proios D, Bornet A, Yazdani A, Rodrigues Junior JF, Teodoro D. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts [Internet]. Proceedings. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00022
Vancouver
Proios D, Bornet A, Yazdani A, Rodrigues Junior JF, Teodoro D. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts [Internet]. Proceedings. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00022
Trabalho de evento
AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data (2025)
Silva, João Pedro da; Aguiar, Erikson Júlio de ; Spadon, Gabriel ; Traina, Agma Juci Machado ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO, INDICADORES SOCIOECONÔMICOS, SAÚDE PÚBLICA, BRASIL
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ABNT
SILVA, João Pedro da et al. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00180. Acesso em: 12 nov. 2025.
APA
Silva, J. P. da, Aguiar, E. J. de, Spadon, G., Traina, A. J. M., & Rodrigues Junior, J. F. (2025). AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00180
NLM
Silva JP da, Aguiar EJ de, Spadon G, Traina AJM, Rodrigues Junior JF. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data [Internet]. Proceedings. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00180
Vancouver
Silva JP da, Aguiar EJ de, Spadon G, Traina AJM, Rodrigues Junior JF. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data [Internet]. Proceedings. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00180
Trabalho de evento
Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences (2025)
Alam, Md Mahbub ; Soares, Amilcar ; Rodrigues Junior, José Fernando ; Spadon, Gabriel
Source: Proceedings. Conference titles: International Symposium on Spatial and Temporal Data - SSTD. Unidade: ICMC
Subjects: REDES NEURAIS, NAVEGAÇÃO MARÍTIMA
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ABNT
ALAM, Md Mahbub et al. Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3748777.3748779. Acesso em: 12 nov. 2025.
APA
Alam, M. M., Soares, A., Rodrigues Junior, J. F., & Spadon, G. (2025). Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences. In Proceedings. New York: ACM. doi:10.1145/3748777.3748779
NLM
Alam MM, Soares A, Rodrigues Junior JF, Spadon G. Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences [Internet]. Proceedings. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3748777.3748779
Vancouver
Alam MM, Soares A, Rodrigues Junior JF, Spadon G. Physics-informed neural networks for vessel trajectory prediction: learning time-discretized kinematic dynamics via finite differences [Internet]. Proceedings. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3748777.3748779
Trabalho de evento
Satellite imagery predicts socioeconomic indicators: experiments in Brazil (2023)
Silva, João Pedro; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: International Conference on Transdisciplinary AI - TransAI. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, INDICADORES SOCIOECONÔMICOS
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ABNT
SILVA, João Pedro e RODRIGUES JUNIOR, José Fernando. Satellite imagery predicts socioeconomic indicators: experiments in Brazil. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/TransAI60598.2023.00008. Acesso em: 12 nov. 2025.
APA
Silva, J. P., & Rodrigues Junior, J. F. (2023). Satellite imagery predicts socioeconomic indicators: experiments in Brazil. In Proceedings. Los Alamitos: IEEE. doi:10.1109/TransAI60598.2023.00008
NLM
Silva JP, Rodrigues Junior JF. Satellite imagery predicts socioeconomic indicators: experiments in Brazil [Internet]. Proceedings. 2023 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/TransAI60598.2023.00008
Vancouver
Silva JP, Rodrigues Junior JF. Satellite imagery predicts socioeconomic indicators: experiments in Brazil [Internet]. Proceedings. 2023 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/TransAI60598.2023.00008
Trabalho de evento
AttentionHCare: advances on computer-aided medical prognosis using attention-based neural networks (2022)
Barros, Pedro Henrique Ferracini de ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE
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ABNT
BARROS, Pedro Henrique Ferracini de e RODRIGUES JUNIOR, José Fernando. AttentionHCare: advances on computer-aided medical prognosis using attention-based neural networks. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/IJCNN55064.2022.9892642. Acesso em: 12 nov. 2025.
APA
Barros, P. H. F. de, & Rodrigues Junior, J. F. (2022). AttentionHCare: advances on computer-aided medical prognosis using attention-based neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN55064.2022.9892642
NLM
Barros PHF de, Rodrigues Junior JF. AttentionHCare: advances on computer-aided medical prognosis using attention-based neural networks [Internet]. Proceedings. 2022 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/IJCNN55064.2022.9892642
Vancouver
Barros PHF de, Rodrigues Junior JF. AttentionHCare: advances on computer-aided medical prognosis using attention-based neural networks [Internet]. Proceedings. 2022 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/IJCNN55064.2022.9892642
Trabalho de evento
APEHR: automated prognosis in electronic health records using multi-head self-attention (2021)
Florez, Alexander Ylnner Choquenaira ; Scabora, Lucas de Carvalho ; Eler, Danilo Medeiros ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TECNOLOGIAS DA SAÚDE, PROGNÓSTICO
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ABNT
FLOREZ, Alexander Ylnner Choquenaira et al. APEHR: automated prognosis in electronic health records using multi-head self-attention. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00077. Acesso em: 12 nov. 2025.
APA
Florez, A. Y. C., Scabora, L. de C., Eler, D. M., & Rodrigues Junior, J. F. (2021). APEHR: automated prognosis in electronic health records using multi-head self-attention. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00077
NLM
Florez AYC, Scabora L de C, Eler DM, Rodrigues Junior JF. APEHR: automated prognosis in electronic health records using multi-head self-attention [Internet]. Proceedings. 2021 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00077
Vancouver
Florez AYC, Scabora L de C, Eler DM, Rodrigues Junior JF. APEHR: automated prognosis in electronic health records using multi-head self-attention [Internet]. Proceedings. 2021 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00077
Trabalho de evento
SHARq: sharing recursive queries in relational databases (2021)
Scabora, Lucas de Carvalho ; Spadon, Gabriel ; Cazzolato, Mirela Teixeira ; Kaster, Daniel dos Santos ; Traina, Agma Juci Machado ; Rodrigues Junior, José Fernando ; Traina Junior, Caetano
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: GERENCIADORES DE BANCO DE DADOS, BANCO DE DADOS RELACIONAIS, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
SCABORA, Lucas de Carvalho et al. SHARq: sharing recursive queries in relational databases. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3412841.3442078. Acesso em: 12 nov. 2025.
APA
Scabora, L. de C., Spadon, G., Cazzolato, M. T., Kaster, D. dos S., Traina, A. J. M., Rodrigues Junior, J. F., & Traina Junior, C. (2021). SHARq: sharing recursive queries in relational databases. In Proceedings. New York: ACM. doi:10.1145/3412841.3442078
NLM
Scabora L de C, Spadon G, Cazzolato MT, Kaster D dos S, Traina AJM, Rodrigues Junior JF, Traina Junior C. SHARq: sharing recursive queries in relational databases [Internet]. Proceedings. 2021 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3412841.3442078
Vancouver
Scabora L de C, Spadon G, Cazzolato MT, Kaster D dos S, Traina AJM, Rodrigues Junior JF, Traina Junior C. SHARq: sharing recursive queries in relational databases [Internet]. Proceedings. 2021 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3412841.3442078
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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ABNT
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: 12 nov. 2025.
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 2025 nov. 12 ] 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 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00118
Trabalho de evento
An extensive investigation of machine learning techniques for sleep apnea screening (2020)
Rodrigues Junior, José Fernando ; Pepin, Jean-Louis ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Source: Proceedings. Conference titles: ACM International Conference on Information & Knowledge Management - CIKM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TECNOLOGIAS DA SAÚDE, APNEIA DO SONO TIPO OBSTRUTIVA
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ABNT
RODRIGUES JUNIOR, José Fernando et al. An extensive investigation of machine learning techniques for sleep apnea screening. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3340531.3412686. Acesso em: 12 nov. 2025.
APA
Rodrigues Junior, J. F., Pepin, J. -L., Goeuriot, L., & Amer-Yahia, S. (2020). An extensive investigation of machine learning techniques for sleep apnea screening. In Proceedings. New York: ACM. doi:10.1145/3340531.3412686
NLM
Rodrigues Junior JF, Pepin J-L, Goeuriot L, Amer-Yahia S. An extensive investigation of machine learning techniques for sleep apnea screening [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3340531.3412686
Vancouver
Rodrigues Junior JF, Pepin J-L, Goeuriot L, Amer-Yahia S. An extensive investigation of machine learning techniques for sleep apnea screening [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3340531.3412686
Trabalho de evento
Lig-Doctor: real-world clinical prognosis using a bi-directional neural network (2020)
Rodrigues Junior, José Fernando ; Spadon, Gabriel ; Machado, Bruno Brandoli ; Amer-Yahia, Sihem
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), PROGNÓSTICO, TECNOLOGIAS DA SAÚDE
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ABNT
RODRIGUES JUNIOR, José Fernando et al. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00113. Acesso em: 12 nov. 2025.
APA
Rodrigues Junior, J. F., Spadon, G., Machado, B. B., & Amer-Yahia, S. (2020). Lig-Doctor: real-world clinical prognosis using a bi-directional neural network. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00113
NLM
Rodrigues Junior JF, Spadon G, Machado BB, Amer-Yahia S. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00113
Vancouver
Rodrigues Junior JF, Spadon G, Machado BB, Amer-Yahia S. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00113
Trabalho de evento
Enhancing recursive graph querying on RDBMS with data clustering approaches (2020)
Scabora, Lucas de Carvalho ; Spadon, Gabriel ; Oliveira, Paulo Henrique de ; Rodrigues Junior, José Fernando ; Traina Junior, Caetano
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: BANCO DE DADOS, CLUSTERS, LÓGICA
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ABNT
SCABORA, Lucas de Carvalho et al. Enhancing recursive graph querying on RDBMS with data clustering approaches. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3341105.3375770. Acesso em: 12 nov. 2025.
APA
Scabora, L. de C., Spadon, G., Oliveira, P. H. de, Rodrigues Junior, J. F., & Traina Junior, C. (2020). Enhancing recursive graph querying on RDBMS with data clustering approaches. In Proceedings. New York: ACM. doi:10.1145/3341105.3375770
NLM
Scabora L de C, Spadon G, Oliveira PH de, Rodrigues Junior JF, Traina Junior C. Enhancing recursive graph querying on RDBMS with data clustering approaches [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3341105.3375770
Vancouver
Scabora L de C, Spadon G, Oliveira PH de, Rodrigues Junior JF, Traina Junior C. Enhancing recursive graph querying on RDBMS with data clustering approaches [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3341105.3375770
Trabalho de evento
DermaDL: advanced convolutional neural networks for automated melanoma detection (2020)
Rodrigues Junior, José Fernando ; Machado, Bruno Brandoli ; Amer-Yahia, Sihem
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, NEOPLASIAS CUTÂNEAS, MELANOMA
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ABNT
RODRIGUES JUNIOR, José Fernando e MACHADO, Bruno Brandoli e AMER-YAHIA, Sihem. DermaDL: advanced convolutional neural networks for automated melanoma detection. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00101. Acesso em: 12 nov. 2025.
APA
Rodrigues Junior, J. F., Machado, B. B., & Amer-Yahia, S. (2020). DermaDL: advanced convolutional neural networks for automated melanoma detection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00101
NLM
Rodrigues Junior JF, Machado BB, Amer-Yahia S. DermaDL: advanced convolutional neural networks for automated melanoma detection [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00101
Vancouver
Rodrigues Junior JF, Machado BB, Amer-Yahia S. DermaDL: advanced convolutional neural networks for automated melanoma detection [Internet]. Proceedings. 2020 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00101
Trabalho de evento
Transforming two decades of ePR data to OMOP CDM for clinical research (2019)
Lima, Daniel Mário de ; Rodrigues Junior, José Fernando ; Traina, Agma Juci Machado ; Pires, Fábio Antero; Gutierrez, Marco Antonio
Source: Proceedings. Conference titles: World Congress of Medical and Health Informatics - MEDINFO. Unidade: ICMC
Subjects: BANCO DE DADOS RELACIONAIS, SQL, RECUPERAÇÃO DA INFORMAÇÃO, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS
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ABNT
LIMA, Daniel Mário de et al. Transforming two decades of ePR data to OMOP CDM for clinical research. 2019, Anais.. Amsterdam: IOS Press, 2019. Disponível em: https://doi.org/10.3233/SHTI190218. Acesso em: 12 nov. 2025.
APA
Lima, D. M. de, Rodrigues Junior, J. F., Traina, A. J. M., Pires, F. A., & Gutierrez, M. A. (2019). Transforming two decades of ePR data to OMOP CDM for clinical research. In Proceedings. Amsterdam: IOS Press. doi:10.3233/SHTI190218
NLM
Lima DM de, Rodrigues Junior JF, Traina AJM, Pires FA, Gutierrez MA. Transforming two decades of ePR data to OMOP CDM for clinical research [Internet]. Proceedings. 2019 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.3233/SHTI190218
Vancouver
Lima DM de, Rodrigues Junior JF, Traina AJM, Pires FA, Gutierrez MA. Transforming two decades of ePR data to OMOP CDM for clinical research [Internet]. Proceedings. 2019 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.3233/SHTI190218
Trabalho de evento
A comparative analysis of the automatic modeling of learning styles through machine learning techniques (2018)
Ferreira, Lucas D; Spadon, Gabriel; Carvalho, André Carlos Ponce de Leon Ferreira de ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: Frontiers in Education Conference - FIE. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MODELOS DE APRENDIZAGEM, COMPUTADOR NO ENSINO
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ABNT
FERREIRA, Lucas D et al. A comparative analysis of the automatic modeling of learning styles through machine learning techniques. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/FIE.2018.8659191. Acesso em: 12 nov. 2025.
APA
Ferreira, L. D., Spadon, G., Carvalho, A. C. P. de L. F. de, & Rodrigues Junior, J. F. (2018). A comparative analysis of the automatic modeling of learning styles through machine learning techniques. In Proceedings. Piscataway: IEEE. doi:10.1109/FIE.2018.8659191
NLM
Ferreira LD, Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF. A comparative analysis of the automatic modeling of learning styles through machine learning techniques [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/FIE.2018.8659191
Vancouver
Ferreira LD, Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF. A comparative analysis of the automatic modeling of learning styles through machine learning techniques [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/FIE.2018.8659191
Trabalho de evento
A computational method for interactive design of marbling patterns (2018)
Gazziro, Mario Alexandre; Gois, João Paulo; Gonzales, Candy Tenorio; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: Brazilian Symposium on Computer Games and Digital Entertainment - SBGames. Unidade: ICMC
Subjects: ATRIBUTOS VISUAIS (COMPUTAÇÃO GRÁFICA), MECÂNICA DOS FLUÍDOS COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
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ABNT
GAZZIRO, Mario Alexandre et al. A computational method for interactive design of marbling patterns. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/SBGAMES.2018.00010. Acesso em: 12 nov. 2025.
APA
Gazziro, M. A., Gois, J. P., Gonzales, C. T., & Rodrigues Junior, J. F. (2018). A computational method for interactive design of marbling patterns. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SBGAMES.2018.00010
NLM
Gazziro MA, Gois JP, Gonzales CT, Rodrigues Junior JF. A computational method for interactive design of marbling patterns [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/SBGAMES.2018.00010
Vancouver
Gazziro MA, Gois JP, Gonzales CT, Rodrigues Junior JF. A computational method for interactive design of marbling patterns [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/SBGAMES.2018.00010
Trabalho de evento
A smartphone application to measure the quality of pest control spraying machines via image analysis (2018)
Machado, Bruno Brandoli; Spadon, Gabriel; Arruda, Mauro S; Gonçalves, Wesley N; Carvalho, André Carlos Ponce de Leon Ferreira de ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, COMPUTAÇÃO MÓVEL, AGRICULTURA DE PRECISÃO
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ABNT
MACHADO, Bruno Brandoli et al. A smartphone application to measure the quality of pest control spraying machines via image analysis. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3167132.3167192. Acesso em: 12 nov. 2025.
APA
Machado, B. B., Spadon, G., Arruda, M. S., Gonçalves, W. N., Carvalho, A. C. P. de L. F. de, & Rodrigues Junior, J. F. (2018). A smartphone application to measure the quality of pest control spraying machines via image analysis. In Proceedings. New York: ACM. doi:10.1145/3167132.3167192
NLM
Machado BB, Spadon G, Arruda MS, Gonçalves WN, Carvalho ACP de LF de, Rodrigues Junior JF. A smartphone application to measure the quality of pest control spraying machines via image analysis [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3167132.3167192
Vancouver
Machado BB, Spadon G, Arruda MS, Gonçalves WN, Carvalho ACP de LF de, Rodrigues Junior JF. A smartphone application to measure the quality of pest control spraying machines via image analysis [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1145/3167132.3167192
Trabalho de evento
TendeR-Sims: similarity retrieval system for public tenders (2018)
Vasconcelos, Guilherme Q; Zabot, Guilherme F; Lima, Daniel M. de; Rodrigues Junior, José Fernando ; Traina Junior, Caetano ; Kaster, Daniel dos Santos; Cordeiro, Robson Leonardo Ferreira
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BANCO DE DADOS RELACIONAIS, RECUPERAÇÃO DA INFORMAÇÃO, ONTOLOGIA, LICITAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Guilherme Q et al. TendeR-Sims: similarity retrieval system for public tenders. 2018, Anais.. Lisboa: SciTePress, 2018. Disponível em: https://doi.org/10.5220/0006697601430150. Acesso em: 12 nov. 2025.
APA
Vasconcelos, G. Q., Zabot, G. F., Lima, D. M. de, Rodrigues Junior, J. F., Traina Junior, C., Kaster, D. dos S., & Cordeiro, R. L. F. (2018). TendeR-Sims: similarity retrieval system for public tenders. In Proceedings. Lisboa: SciTePress. doi:10.5220/0006697601430150
NLM
Vasconcelos GQ, Zabot GF, Lima DM de, Rodrigues Junior JF, Traina Junior C, Kaster D dos S, Cordeiro RLF. TendeR-Sims: similarity retrieval system for public tenders [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.5220/0006697601430150
Vancouver
Vasconcelos GQ, Zabot GF, Lima DM de, Rodrigues Junior JF, Traina Junior C, Kaster D dos S, Cordeiro RLF. TendeR-Sims: similarity retrieval system for public tenders [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.5220/0006697601430150
Trabalho de evento
Caracterização topológica de redes viárias por meio da análise de vetores de características e técnicas de agrupamento (2018)
Spadon, Gabriel; Scabora, Lucas C; Nesso-Jr, Marcos R; Traina Junior, Caetano ; Rodrigues Junior, José Fernando
Source: Proceedings. Conference titles: Brazilian Symposium on Databases - SBBD. Unidade: ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, TEORIA DOS GRAFOS, TRANSPORTE URBANO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. Caracterização topológica de redes viárias por meio da análise de vetores de características e técnicas de agrupamento. 2018, Anais.. Rio de Janeiro: SBC, 2018. Disponível em: http://sbbd.org.br/2018/wp-content/uploads/sites/5/2018/08/sbbd-proceedings-vol-01.pdf. Acesso em: 12 nov. 2025.
APA
Spadon, G., Scabora, L. C., Nesso-Jr, M. R., Traina Junior, C., & Rodrigues Junior, J. F. (2018). Caracterização topológica de redes viárias por meio da análise de vetores de características e técnicas de agrupamento. In Proceedings. Rio de Janeiro: SBC. Recuperado de http://sbbd.org.br/2018/wp-content/uploads/sites/5/2018/08/sbbd-proceedings-vol-01.pdf
NLM
Spadon G, Scabora LC, Nesso-Jr MR, Traina Junior C, Rodrigues Junior JF. Caracterização topológica de redes viárias por meio da análise de vetores de características e técnicas de agrupamento [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: http://sbbd.org.br/2018/wp-content/uploads/sites/5/2018/08/sbbd-proceedings-vol-01.pdf
Vancouver
Spadon G, Scabora LC, Nesso-Jr MR, Traina Junior C, Rodrigues Junior JF. Caracterização topológica de redes viárias por meio da análise de vetores de características e técnicas de agrupamento [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: http://sbbd.org.br/2018/wp-content/uploads/sites/5/2018/08/sbbd-proceedings-vol-01.pdf
Trabalho de evento
RAFIKI: retrieval-based application for imaging and knowledge investigation (2018)
Nesso-Jr, Marcos R; Cazzolato, Mirela T; Scabora, Lucas C; Oliveira, Paulo H; Spadon, Gabriel; Souza, Jessica A. de; Oliveira, Willian Dener de; Chino, Daniel Y. T; Rodrigues Junior, José Fernando ; 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 MULTIMÍDIA, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NESSO-JR, Marcos R et al. RAFIKI: retrieval-based application for imaging and knowledge investigation. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/CBMS.2018.00020. Acesso em: 12 nov. 2025.
APA
Nesso-Jr, M. R., Cazzolato, M. T., Scabora, L. C., Oliveira, P. H., Spadon, G., Souza, J. A. de, et al. (2018). RAFIKI: retrieval-based application for imaging and knowledge investigation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2018.00020
NLM
Nesso-Jr MR, Cazzolato MT, Scabora LC, Oliveira PH, Spadon G, Souza JA de, Oliveira WD de, Chino DYT, Rodrigues Junior JF, Traina AJM, Traina Junior C. RAFIKI: retrieval-based application for imaging and knowledge investigation [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS.2018.00020
Vancouver
Nesso-Jr MR, Cazzolato MT, Scabora LC, Oliveira PH, Spadon G, Souza JA de, Oliveira WD de, Chino DYT, Rodrigues Junior JF, Traina AJM, Traina Junior C. RAFIKI: retrieval-based application for imaging and knowledge investigation [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/CBMS.2018.00020
Trabalho de evento
Recognition of endangered Pantanal animal species using deep learning methods (2018)
Arruda, Mauro dos Santos de; Spadon, Gabriel; Rodrigues Junior, José Fernando ; Gonçalves, Wesley Nunes; Machado, Bruno Brandoli
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ANIMAIS EM EXTINÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARRUDA, Mauro dos Santos de et al. Recognition of endangered Pantanal animal species using deep learning methods. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489369. Acesso em: 12 nov. 2025.
APA
Arruda, M. dos S. de, Spadon, G., Rodrigues Junior, J. F., Gonçalves, W. N., & Machado, B. B. (2018). Recognition of endangered Pantanal animal species using deep learning methods. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489369
NLM
Arruda M dos S de, Spadon G, Rodrigues Junior JF, Gonçalves WN, Machado BB. Recognition of endangered Pantanal animal species using deep learning methods [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489369
Vancouver
Arruda M dos S de, Spadon G, Rodrigues Junior JF, Gonçalves WN, Machado BB. Recognition of endangered Pantanal animal species using deep learning methods [Internet]. Proceedings. 2018 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489369

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