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Trabalho de evento
Improving image classification tasks using fused embeddings and multimodal models (2025)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: IMAGEM, INTELIGÊNCIA ARTIFICIAL, CLUSTERS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Improving image classification tasks using fused embeddings and multimodal models. 2025, Anais.. Setúbal: SciTePress, 2025. p. 232-241. Disponível em: https://www.scitepress.org/Papers/2025/133656/133656.pdf. Acesso em: 07 out. 2025.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & César Júnior, R. M. (2025). Improving image classification tasks using fused embeddings and multimodal models. In Proceedings (p. 232-241). Setúbal: SciTePress. doi:10.5220/0013365600003912
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, César Júnior RM. Improving image classification tasks using fused embeddings and multimodal models [Internet]. Proceedings. 2025 ; 232-241.[citado 2025 out. 07 ] Available from: https://www.scitepress.org/Papers/2025/133656/133656.pdf
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, César Júnior RM. Improving image classification tasks using fused embeddings and multimodal models [Internet]. Proceedings. 2025 ; 232-241.[citado 2025 out. 07 ] Available from: https://www.scitepress.org/Papers/2025/133656/133656.pdf
Trabalho de evento
An RNN approach to real-time multimedia QoE assessment via facial expressions (2024)
Pereira Neto, Eduardo Lopes; Hayashi, Sergio; Batista, Daniel Macêdo ; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita ; Delgado, Karina Valdivia
Source: Proceedings. Conference titles: Virtual Conference on Communications - VCC. Unidades: EACH, IME
Subjects: TEMPO-REAL, PLATAFORMA DIGITAL, COMUNICAÇÃO DIGITAL, EXPRESSÃO FACIAL
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ABNT
PEREIRA NETO, Eduardo Lopes et al. An RNN approach to real-time multimedia QoE assessment via facial expressions. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/VCC63113.2024.10914430. Acesso em: 07 out. 2025.
APA
Pereira Neto, E. L., Hayashi, S., Batista, D. M., Hirata Júnior, R., Hirata, N. S. T., & Delgado, K. V. (2024). An RNN approach to real-time multimedia QoE assessment via facial expressions. In Proceedings. Piscataway: IEEE. doi:10.1109/VCC63113.2024.10914430
NLM
Pereira Neto EL, Hayashi S, Batista DM, Hirata Júnior R, Hirata NST, Delgado KV. An RNN approach to real-time multimedia QoE assessment via facial expressions [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/VCC63113.2024.10914430
Vancouver
Pereira Neto EL, Hayashi S, Batista DM, Hirata Júnior R, Hirata NST, Delgado KV. An RNN approach to real-time multimedia QoE assessment via facial expressions [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/VCC63113.2024.10914430
Trabalho de evento
Real-time intrusion detection with sequence-aware neural networks for Internet of medical things (2024)
Werneck, Heitor; Batista, Daniel Macêdo ; Hirata Júnior, Roberto ; Queiroz, Marcelo Gomes de
Source: Proceedings. Conference titles: Virtual Conference on Communications - VCC. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, INTERNET DAS COISAS, SAÚDE, REDES NEURAIS, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS
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ABNT
WERNECK, Heitor et al. Real-time intrusion detection with sequence-aware neural networks for Internet of medical things. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/VCC63113.2024.10914399. Acesso em: 07 out. 2025.
APA
Werneck, H., Batista, D. M., Hirata Júnior, R., & Queiroz, M. G. de. (2024). Real-time intrusion detection with sequence-aware neural networks for Internet of medical things. In Proceedings. Piscataway: IEEE. doi:10.1109/VCC63113.2024.10914399
NLM
Werneck H, Batista DM, Hirata Júnior R, Queiroz MG de. Real-time intrusion detection with sequence-aware neural networks for Internet of medical things [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/VCC63113.2024.10914399
Vancouver
Werneck H, Batista DM, Hirata Júnior R, Queiroz MG de. Real-time intrusion detection with sequence-aware neural networks for Internet of medical things [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/VCC63113.2024.10914399
Trabalho de evento
Riparian zones classification using Satellite/UAV synergy and deep learning (2024)
Casagrande, Luan; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: IEEE International Geoscience and Remote Sensing Symposium IGARSS 2024. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, SATÉLITES, SENSORIAMENTO REMOTO
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ABNT
CASAGRANDE, Luan e HIRATA JÚNIOR, Roberto. Riparian zones classification using Satellite/UAV synergy and deep learning. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IGARSS53475.2024.10642449. Acesso em: 07 out. 2025.
APA
Casagrande, L., & Hirata Júnior, R. (2024). Riparian zones classification using Satellite/UAV synergy and deep learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IGARSS53475.2024.10642449
NLM
Casagrande L, Hirata Júnior R. Riparian zones classification using Satellite/UAV synergy and deep learning [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/IGARSS53475.2024.10642449
Vancouver
Casagrande L, Hirata Júnior R. Riparian zones classification using Satellite/UAV synergy and deep learning [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/IGARSS53475.2024.10642449
Trabalho de evento
A lean and modular two-stage network intrusion detection system for iot traffic (2024)
Inácio, Bruno Brandão; Araújo, Juliana C. Carvalho de; Dos Santos, Aldri L.; Nogueira, Michele ; Hirata Júnior, Roberto ; Batista, Daniel Macêdo
Source: Proceedings. Conference titles: Latin-American Conference on Communications - LATINCOM. Unidade: IME
Subjects: GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS, CRIME POR COMPUTADOR, INTERNET DAS COISAS
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ABNT
INÁCIO, Bruno Brandão et al. A lean and modular two-stage network intrusion detection system for iot traffic. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/LATINCOM62985.2024.10770670. Acesso em: 07 out. 2025.
APA
Inácio, B. B., Araújo, J. C. C. de, Dos Santos, A. L., Nogueira, M., Hirata Júnior, R., & Batista, D. M. (2024). A lean and modular two-stage network intrusion detection system for iot traffic. In Proceedings. Piscataway: IEEE. doi:10.1109/LATINCOM62985.2024.10770670
NLM
Inácio BB, Araújo JCC de, Dos Santos AL, Nogueira M, Hirata Júnior R, Batista DM. A lean and modular two-stage network intrusion detection system for iot traffic [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/LATINCOM62985.2024.10770670
Vancouver
Inácio BB, Araújo JCC de, Dos Santos AL, Nogueira M, Hirata Júnior R, Batista DM. A lean and modular two-stage network intrusion detection system for iot traffic [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/LATINCOM62985.2024.10770670
Trabalho de evento
Towards a method for evaluating bus stop infrastructure with street level images and large language models (2024)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Damaceno, Rafael Jeferson Pezzuto ; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: The Future of Urban Accessibility Workshop: The Role of AI - URBANACCESS’24. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, APRENDIZADO COMPUTACIONAL, CIDADES INTELIGENTES, PROCESSAMENTO DE IMAGENS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Towards a method for evaluating bus stop infrastructure with street level images and large language models. 2024, Anais.. New York: ACM, 2024. Disponível em: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf. Acesso em: 07 out. 2025.
APA
Oliveira, A. A. A. de M., Espadoto, M., Damaceno, R. J. P., Hirata Júnior, R., & César Júnior, R. M. (2024). Towards a method for evaluating bus stop infrastructure with street level images and large language models. In Proceedings. New York: ACM. Recuperado de https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
NLM
Oliveira AAA de M, Espadoto M, Damaceno RJP, Hirata Júnior R, César Júnior RM. Towards a method for evaluating bus stop infrastructure with street level images and large language models [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
Vancouver
Oliveira AAA de M, Espadoto M, Damaceno RJP, Hirata Júnior R, César Júnior RM. Towards a method for evaluating bus stop infrastructure with street level images and large language models [Internet]. Proceedings. 2024 ;[citado 2025 out. 07 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
Trabalho de evento
Modeling and interpreting 6-D object pose estimation (2023)
Soler, Diego Pavan ; Hirata Júnior, Roberto ; Espadoto, Mateus
Source: Proceedings. Conference titles: International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS, APRENDIZAGEM PROFUNDA
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ABNT
SOLER, Diego Pavan e HIRATA JÚNIOR, Roberto e ESPADOTO, Mateus. Modeling and interpreting 6-D object pose estimation. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICIP49359.2023.10223067. Acesso em: 07 out. 2025.
APA
Soler, D. P., Hirata Júnior, R., & Espadoto, M. (2023). Modeling and interpreting 6-D object pose estimation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP49359.2023.10223067
NLM
Soler DP, Hirata Júnior R, Espadoto M. Modeling and interpreting 6-D object pose estimation [Internet]. Proceedings. 2023 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/ICIP49359.2023.10223067
Vancouver
Soler DP, Hirata Júnior R, Espadoto M. Modeling and interpreting 6-D object pose estimation [Internet]. Proceedings. 2023 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/ICIP49359.2023.10223067
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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] 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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] Available from: https://doi.org/10.1109/LATINCOM56090.2022.10000559
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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] Available from: https://doi.org/10.1109/LATINCOM56090.2022.10000468
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: APRENDIZAGEM PROFUNDA, 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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] 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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647824
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
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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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] Available from: https://doi.org/10.1109/LATINCOM53176.2021.9647803
Trabalho de evento
Concave losses for robust dictionary learning (2018)
Araujo, Rafael Will Macedo de ; Hirata Júnior, Roberto ; Rakotomamonjy, Alain
Source: Proceedings. Conference titles: International Conference on Acoustics, Speech and Signal Processing - ICASSP. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, MÉTODOS ITERATIVOS, DICIONÁRIOS, PROCESSAMENTO DE SINAIS
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ABNT
ARAUJO, Rafael Will Macedo de e HIRATA JÚNIOR, Roberto e RAKOTOMAMONJY, Alain. Concave losses for robust dictionary learning. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/ICASSP.2018.8462340. Acesso em: 07 out. 2025.
APA
Araujo, R. W. M. de, Hirata Júnior, R., & Rakotomamonjy, A. (2018). Concave losses for robust dictionary learning. In Proceedings. Piscataway: IEEE. doi:10.1109/ICASSP.2018.8462340
NLM
Araujo RWM de, Hirata Júnior R, Rakotomamonjy A. Concave losses for robust dictionary learning [Internet]. Proceedings. 2018 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/ICASSP.2018.8462340
Vancouver
Araujo RWM de, Hirata Júnior R, Rakotomamonjy A. Concave losses for robust dictionary learning [Internet]. Proceedings. 2018 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1109/ICASSP.2018.8462340

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