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Artigo de periodico
Stability analysis of supervised decision boundary maps (2023)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: SN Computer Science. Unidades: IME, ICMC
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Stability analysis of supervised decision boundary maps. SN Computer Science, v. 4, n. artigo 226, p. 1, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42979-022-01662-4. Acesso em: 06 jun. 2023.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2023). Stability analysis of supervised decision boundary maps. SN Computer Science, 4( artigo 226), 1. doi:10.1007/s42979-022-01662-4
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. Stability analysis of supervised decision boundary maps [Internet]. SN Computer Science. 2023 ; 4( artigo 226): 1.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s42979-022-01662-4
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. Stability analysis of supervised decision boundary maps [Internet]. SN Computer Science. 2023 ; 4( artigo 226): 1.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s42979-022-01662-4
Trabalho de evento
Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies (2023)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics - VISIGRAPP. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-25477-2_7. Acesso em: 06 jun. 2023.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., Hirata, N. S. T., & Telea, A. C. (2023). Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-25477-2_7
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Hirata NST, Telea AC. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies [Internet]. Proceedings. 2023 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/978-3-031-25477-2_7
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Hirata NST, Telea AC. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies [Internet]. Proceedings. 2023 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/978-3-031-25477-2_7
Trabalho de evento
SDBM: Supervised Decision Boundary Maps for machine learning classifiers (2022)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP. Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. SDBM: Supervised Decision Boundary Maps for machine learning classifiers. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010896200003124. Acesso em: 06 jun. 2023.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2022). SDBM: Supervised Decision Boundary Maps for machine learning classifiers. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010896200003124
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. SDBM: Supervised Decision Boundary Maps for machine learning classifiers [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.5220/0010896200003124
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. SDBM: Supervised Decision Boundary Maps for machine learning classifiers [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.5220/0010896200003124
Trabalho de evento
A stacked ensemble classifier for an intrusion detection system in the edge of IoT and IIoT networks (2022)
Oliveira, Giovanni Aparecido da Silva ; Lima, Priscila Serra Silva; Kon, Fábio ; Terada, Routo ; Batista, Daniel Macêdo ; Hirata Júnior, Roberto ; Hamdan, Mosab
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, INTERNET DAS COISAS
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ABNT
OLIVEIRA, Giovanni Aparecido da Silva et al. A stacked ensemble classifier for an intrusion detection system in the edge of IoT and IIoT networks. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/LATINCOM56090.2022.10000559. Acesso em: 06 jun. 2023.
APA
Oliveira, G. A. da S., Lima, P. S. S., Kon, F., Terada, R., Batista, D. M., Hirata Júnior, R., & Hamdan, M. (2022). A stacked ensemble classifier for an intrusion detection system in the edge of IoT and IIoT networks. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM56090.2022.10000559
NLM
Oliveira GA da S, Lima PSS, Kon F, Terada R, Batista DM, Hirata Júnior R, Hamdan M. A stacked ensemble classifier for an intrusion detection system in the edge of IoT and IIoT networks [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM56090.2022.10000559
Vancouver
Oliveira GA da S, Lima PSS, Kon F, Terada R, Batista DM, Hirata Júnior R, Hamdan M. A stacked ensemble classifier for an intrusion detection system in the edge of IoT and IIoT networks [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM56090.2022.10000559
Artigo de periodico
From mathematical morphology to machine learning of image operators (2022)
Barrera, Junior ; Hashimoto, Ronaldo Fumio ; Hirata, Nina Sumiko Tomita ; Hirata Júnior, Roberto ; Reis, Marcelo S.
Source: São Paulo Journal of Mathematical Sciences. Unidade: IME
Subjects: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS
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ABNT
BARRERA, Junior et al. From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40863-022-00303-1. Acesso em: 06 jun. 2023.
APA
Barrera, J., Hashimoto, R. F., Hirata, N. S. T., Hirata Júnior, R., & Reis, M. S. (2022). From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-022-00303-1
NLM
Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
Vancouver
Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
Artigo de periodico
Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines (2022)
Guevara Diaz, Jorge Luis ; Mendel, Jerry M ; Hirata Júnior, Roberto
Source: IEEE Transactions on Fuzzy Systems. Unidade: IME
Subjects: LÓGICA FUZZY, APRENDIZADO COMPUTACIONAL
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ABNT
GUEVARA DIAZ, Jorge Luis e MENDEL, Jerry M e HIRATA JÚNIOR, Roberto. Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines. IEEE Transactions on Fuzzy Systems, v. 30, n. 10, p. 4447-4459, 2022Tradução . . Disponível em: https://doi.org/10.1109/TFUZZ.2022.3153141. Acesso em: 06 jun. 2023.
APA
Guevara Diaz, J. L., Mendel, J. M., & Hirata Júnior, R. (2022). Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines. IEEE Transactions on Fuzzy Systems, 30( 10), 4447-4459. doi:10.1109/TFUZZ.2022.3153141
NLM
Guevara Diaz JL, Mendel JM, Hirata Júnior R. Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines [Internet]. IEEE Transactions on Fuzzy Systems. 2022 ; 30( 10): 4447-4459.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/TFUZZ.2022.3153141
Vancouver
Guevara Diaz JL, Mendel JM, Hirata Júnior R. Fuzzy-system Kernel machines: a Kernel method based on the connections between fuzzy inference systems and Kernel machines [Internet]. IEEE Transactions on Fuzzy Systems. 2022 ; 30( 10): 4447-4459.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/TFUZZ.2022.3153141
Trabalho de evento
A hybrid CNN-LSTM model for IIoT edge privacy-aware intrusion detection (2022)
Elias, Erik Miguel de ; Carriel, Vinicius Sanches; Oliveira, Guilherme Werneck de ; Santos, Aldri Luiz Dos ; Nogueira, Michele ; Hirata Júnior, Roberto ; Batista, Daniel Macêdo
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
ELIAS, Erik Miguel de et al. A hybrid CNN-LSTM model for IIoT edge privacy-aware intrusion detection. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/LATINCOM56090.2022.10000468. Acesso em: 06 jun. 2023.
APA
Elias, E. M. de, Carriel, V. S., Oliveira, G. W. de, Santos, A. L. D., Nogueira, M., Hirata Júnior, R., & Batista, D. M. (2022). A hybrid CNN-LSTM model for IIoT edge privacy-aware intrusion detection. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM56090.2022.10000468
NLM
Elias EM de, Carriel VS, Oliveira GW de, Santos ALD, Nogueira M, Hirata Júnior R, Batista DM. A hybrid CNN-LSTM model for IIoT edge privacy-aware intrusion detection [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM56090.2022.10000468
Vancouver
Elias EM de, Carriel VS, Oliveira GW de, Santos ALD, Nogueira M, Hirata Júnior R, Batista DM. A hybrid CNN-LSTM model for IIoT edge privacy-aware intrusion detection [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM56090.2022.10000468
Trabalho de evento
Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild (2022)
Oliveira, Artur André Almeida de Macedo ; Wang, Zhangyang ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops - CVPRW. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo e WANG, Zhangyang e HIRATA JÚNIOR, Roberto. Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/CVPRW56347.2022.00474. Acesso em: 06 jun. 2023.
APA
Oliveira, A. A. A. de M., Wang, Z., & Hirata Júnior, R. (2022). Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPRW56347.2022.00474
NLM
Oliveira AAA de M, Wang Z, Hirata Júnior R. Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/CVPRW56347.2022.00474
Vancouver
Oliveira AAA de M, Wang Z, Hirata Júnior R. Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild [Internet]. Proceedings. 2022 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/CVPRW56347.2022.00474
Artigo de periodico
Optical mark recognition: advances, difculties, and imitations (2021)
Elias, Erik Miguel de ; Tasinaffo, Paulo Marcelo ; Hirata Júnior, Roberto
Source: SN Computer Science. Unidade: IME
Assunto: RECONHECIMENTO DE CARACTERES ÓPTICOS
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ABNT
ELIAS, Erik Miguel de e TASINAFFO, Paulo Marcelo e HIRATA JÚNIOR, Roberto. Optical mark recognition: advances, difculties, and imitations. SN Computer Science, v. 2, n. artigo 367, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1007/s42979-021-00760-z. Acesso em: 06 jun. 2023.
APA
Elias, E. M. de, Tasinaffo, P. M., & Hirata Júnior, R. (2021). Optical mark recognition: advances, difculties, and imitations. SN Computer Science, 2( artigo 367), 1-13. doi:10.1007/s42979-021-00760-z
NLM
Elias EM de, Tasinaffo PM, Hirata Júnior R. Optical mark recognition: advances, difculties, and imitations [Internet]. SN Computer Science. 2021 ; 2( artigo 367): 1-13.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s42979-021-00760-z
Vancouver
Elias EM de, Tasinaffo PM, Hirata Júnior R. Optical mark recognition: advances, difculties, and imitations [Internet]. SN Computer Science. 2021 ; 2( artigo 367): 1-13.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s42979-021-00760-z
Trabalho de evento
A network intrusion detection system using deep learning against MQTT attacks in IoT (2021)
Mosaiyebzadeh, Fatemeh ; Rodriguez, Luis Gustavo Araujo; Batista, Daniel Macêdo ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, CIDADES INTELIGENTES, INTERNET DAS COISAS
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ABNT
MOSAIYEBZADEH, Fatemeh et al. A network intrusion detection system using deep learning against MQTT attacks in IoT. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/LATINCOM53176.2021.9647850. Acesso em: 06 jun. 2023.
APA
Mosaiyebzadeh, F., Rodriguez, L. G. A., Batista, D. M., & Hirata Júnior, R. (2021). A network intrusion detection system using deep learning against MQTT attacks in IoT. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM53176.2021.9647850
NLM
Mosaiyebzadeh F, Rodriguez LGA, Batista DM, Hirata Júnior R. A network intrusion detection system using deep learning against MQTT attacks in IoT [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647850
Vancouver
Mosaiyebzadeh F, Rodriguez LGA, Batista DM, Hirata Júnior R. A network intrusion detection system using deep learning against MQTT attacks in IoT [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647850
Trabalho de evento
BGP anomalies classification using features based on AS relationship graphs (2021)
Paiva, Thales Bandiera ; Siqueira, Yaissa; Batista, Daniel Macêdo ; Hirata Júnior, Roberto ; Terada, Routo
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, PROTOCOLOS DE COMUNICAÇÃO
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ABNT
PAIVA, Thales Bandiera et al. BGP anomalies classification using features based on AS relationship graphs. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/LATINCOM53176.2021.9647824. Acesso em: 06 jun. 2023.
APA
Paiva, T. B., Siqueira, Y., Batista, D. M., Hirata Júnior, R., & Terada, R. (2021). BGP anomalies classification using features based on AS relationship graphs. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM53176.2021.9647824
NLM
Paiva TB, Siqueira Y, Batista DM, Hirata Júnior R, Terada R. BGP anomalies classification using features based on AS relationship graphs [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647824
Vancouver
Paiva TB, Siqueira Y, Batista DM, Hirata Júnior R, Terada R. BGP anomalies classification using features based on AS relationship graphs [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647824
Trabalho de evento
IoT DDoS detection based on stream learning (2021)
Arbex, Gustavo Vitral; Machado, Kétly Gonçalves ; Nogueira, Michele ; Batista, Daniel Macêdo ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: International Conference on Network of the Future - NoF. Unidade: IME
Subjects: INTERNET DAS COISAS, SEGURANÇA DE REDES
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ABNT
ARBEX, Gustavo Vitral et al. IoT DDoS detection based on stream learning. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/NoF52522.2021.9609940. Acesso em: 06 jun. 2023.
APA
Arbex, G. V., Machado, K. G., Nogueira, M., Batista, D. M., & Hirata Júnior, R. (2021). IoT DDoS detection based on stream learning. In Proceedings. Piscataway: IEEE. doi:10.1109/NoF52522.2021.9609940
NLM
Arbex GV, Machado KG, Nogueira M, Batista DM, Hirata Júnior R. IoT DDoS detection based on stream learning [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609940
Vancouver
Arbex GV, Machado KG, Nogueira M, Batista DM, Hirata Júnior R. IoT DDoS detection based on stream learning [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609940
Trabalho de evento
Dissecting the high-frequency bias in convolutional neural networks (2021)
Abello, Antonio Augusto; Hirata Júnior, Roberto ; Wang, Zhangyang
Source: Proceedings. Conference titles: Conference on Computer Vision and Pattern Recognition Workshops - CVPRW. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
ABELLO, Antonio Augusto e HIRATA JÚNIOR, Roberto e WANG, Zhangyang. Dissecting the high-frequency bias in convolutional neural networks. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CVPRW53098.2021.00096. Acesso em: 06 jun. 2023.
APA
Abello, A. A., Hirata Júnior, R., & Wang, Z. (2021). Dissecting the high-frequency bias in convolutional neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPRW53098.2021.00096
NLM
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Vancouver
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Trabalho de evento
AnubisFlow: a feature extractor for distributed denial of service attack classification (2021)
Barzilay, Alan ; Martinelli, Caio Lorenzetti; Nogueira, Michele ; Batista, Daniel Macêdo ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: International Conference on Network of the Future - NoF. Unidade: IME
Subjects: MODELOS ANALÍTICOS, CRIME POR COMPUTADOR
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ABNT
BARZILAY, Alan et al. AnubisFlow: a feature extractor for distributed denial of service attack classification. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/NoF52522.2021.9609918. Acesso em: 06 jun. 2023.
APA
Barzilay, A., Martinelli, C. L., Nogueira, M., Batista, D. M., & Hirata Júnior, R. (2021). AnubisFlow: a feature extractor for distributed denial of service attack classification. In Proceedings. Piscataway: IEEE. doi:10.1109/NoF52522.2021.9609918
NLM
Barzilay A, Martinelli CL, Nogueira M, Batista DM, Hirata Júnior R. AnubisFlow: a feature extractor for distributed denial of service attack classification [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609918
Vancouver
Barzilay A, Martinelli CL, Nogueira M, Batista DM, Hirata Júnior R. AnubisFlow: a feature extractor for distributed denial of service attack classification [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/NoF52522.2021.9609918
Dissertação (Mestrado)
Two studies on Convolutional Neural Networks sensibility to resolution (2021)
Abello, Antonio Augusto; Hirata Júnior, Roberto (Orientador)
Unidade: IME
Subjects: REDES NEURAIS, VISÃO COMPUTACIONAL, IMAGEM DIGITAL, APRENDIZADO COMPUTACIONAL
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ABNT
ABELLO, Antonio Augusto. Two studies on Convolutional Neural Networks sensibility to resolution. 2021. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/. Acesso em: 06 jun. 2023.
APA
Abello, A. A. (2021). Two studies on Convolutional Neural Networks sensibility to resolution (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/
NLM
Abello AA. Two studies on Convolutional Neural Networks sensibility to resolution [Internet]. 2021 ;[citado 2023 jun. 06 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/
Vancouver
Abello AA. Two studies on Convolutional Neural Networks sensibility to resolution [Internet]. 2021 ;[citado 2023 jun. 06 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/
Artigo de periodico
A comprehensive benchmark analysis of single image deraining: current challenges and future perspectives (2021)
Li, Siyuan ; Ren, Wenqi ; Wang, Feng; Araujo, Iago Breno ; Tokuda, Eric Keiji ; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes ; Wang, Zhangyang ; Cao, Xiaochun
Source: International Journal of Computer Vision. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LI, Siyuan et al. A comprehensive benchmark analysis of single image deraining: current challenges and future perspectives. International Journal of Computer Vision, v. 126, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11263-020-01416-w. Acesso em: 06 jun. 2023.
APA
Li, S., Ren, W., Wang, F., Araujo, I. B., Tokuda, E. K., Hirata Júnior, R., et al. (2021). A comprehensive benchmark analysis of single image deraining: current challenges and future perspectives. International Journal of Computer Vision, 126, 1-22. doi:10.1007/s11263-020-01416-w
NLM
Li S, Ren W, Wang F, Araujo IB, Tokuda EK, Hirata Júnior R, César Júnior RM, Wang Z, Cao X. A comprehensive benchmark analysis of single image deraining: current challenges and future perspectives [Internet]. International Journal of Computer Vision. 2021 ; 126 1-22.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s11263-020-01416-w
Vancouver
Li S, Ren W, Wang F, Araujo IB, Tokuda EK, Hirata Júnior R, César Júnior RM, Wang Z, Cao X. A comprehensive benchmark analysis of single image deraining: current challenges and future perspectives [Internet]. International Journal of Computer Vision. 2021 ; 126 1-22.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1007/s11263-020-01416-w
Artigo de periodico
INACITY - INvestigate and Analyze a CITY (2021)
Oliveira, Artur André Almeida de Macedo ; Hirata Júnior, Roberto
Source: SoftwareX. Unidade: IME
Subjects: SISTEMA DE INFORMAÇÃO GEOGRÁFICA, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Artur André Almeida de Macedo e HIRATA JÚNIOR, Roberto. INACITY - INvestigate and Analyze a CITY. SoftwareX, v. 15, n. artigo 100777, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.softx.2021.100777. Acesso em: 06 jun. 2023.
APA
Oliveira, A. A. A. de M., & Hirata Júnior, R. (2021). INACITY - INvestigate and Analyze a CITY. SoftwareX, 15( artigo 100777), 1-8. doi:10.1016/j.softx.2021.100777
NLM
Oliveira AAA de M, Hirata Júnior R. INACITY - INvestigate and Analyze a CITY [Internet]. SoftwareX. 2021 ; 15( artigo 100777): 1-8.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1016/j.softx.2021.100777
Vancouver
Oliveira AAA de M, Hirata Júnior R. INACITY - INvestigate and Analyze a CITY [Internet]. SoftwareX. 2021 ; 15( artigo 100777): 1-8.[citado 2023 jun. 06 ] Available from: https://doi.org/10.1016/j.softx.2021.100777
Trabalho de evento
Predicting response time in SDN-Fog environments for IIoT applications (2021)
Oliveira, Guilherme Werneck de ; Ney, Rodrigo Toscano; Herrera, Juan Luis ; Batista, Daniel Macêdo ; Hirata Júnior, Roberto ; Galán-Jiménez, Jaime ; Berrocal, Javier ; Murillo, Juan Manuel; Santos, Aldri Luiz Dos ; Nogueira, Michele
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, INTERNET DAS COISAS, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Guilherme Werneck de et al. Predicting response time in SDN-Fog environments for IIoT applications. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/LATINCOM53176.2021.9647803. Acesso em: 06 jun. 2023.
APA
Oliveira, G. W. de, Ney, R. T., Herrera, J. L., Batista, D. M., Hirata Júnior, R., Galán-Jiménez, J., et al. (2021). Predicting response time in SDN-Fog environments for IIoT applications. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM53176.2021.9647803
NLM
Oliveira GW de, Ney RT, Herrera JL, Batista DM, Hirata Júnior R, Galán-Jiménez J, Berrocal J, Murillo JM, Santos ALD, Nogueira M. Predicting response time in SDN-Fog environments for IIoT applications [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647803
Vancouver
Oliveira GW de, Ney RT, Herrera JL, Batista DM, Hirata Júnior R, Galán-Jiménez J, Berrocal J, Murillo JM, Santos ALD, Nogueira M. Predicting response time in SDN-Fog environments for IIoT applications [Internet]. Proceedings. 2021 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647803
Tese (Doutorado)
Visual analytics for machine learning - computing and leveraging decision boundary maps (2020)
Rodrigues, Francisco Caio Maia; Hirata Júnior, Roberto (Orientador)
Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Francisco Caio Maia. Visual analytics for machine learning - computing and leveraging decision boundary maps. 2020. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-27112020-071803/. Acesso em: 06 jun. 2023.
APA
Rodrigues, F. C. M. (2020). Visual analytics for machine learning - computing and leveraging decision boundary maps (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-27112020-071803/
NLM
Rodrigues FCM. Visual analytics for machine learning - computing and leveraging decision boundary maps [Internet]. 2020 ;[citado 2023 jun. 06 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-27112020-071803/
Vancouver
Rodrigues FCM. Visual analytics for machine learning - computing and leveraging decision boundary maps [Internet]. 2020 ;[citado 2023 jun. 06 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-27112020-071803/
Trabalho de evento
Connections between fuzzy inference systems and kernel machines (2020)
Guevara, Jorge; Mendel, Jerry M; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: International Conference on Fuzzy Systems - FUZZ-IEEE. Unidade: IME
Subjects: LÓGICA FUZZY, APRENDIZADO COMPUTACIONAL, ESPAÇOS DE HILBERT
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUEVARA, Jorge e MENDEL, Jerry M e HIRATA JÚNIOR, Roberto. Connections between fuzzy inference systems and kernel machines. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/FUZZ48607.2020.9177604. Acesso em: 06 jun. 2023.
APA
Guevara, J., Mendel, J. M., & Hirata Júnior, R. (2020). Connections between fuzzy inference systems and kernel machines. In Proceedings. Piscataway: IEEE. doi:10.1109/FUZZ48607.2020.9177604
NLM
Guevara J, Mendel JM, Hirata Júnior R. Connections between fuzzy inference systems and kernel machines [Internet]. Proceedings. 2020 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/FUZZ48607.2020.9177604
Vancouver
Guevara J, Mendel JM, Hirata Júnior R. Connections between fuzzy inference systems and kernel machines [Internet]. Proceedings. 2020 ;[citado 2023 jun. 06 ] Available from: https://doi.org/10.1109/FUZZ48607.2020.9177604

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