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Artigo de periodico
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm (2023)
Pang, Xinyu; Ge, Yong‑Feng ; Wang, Kate ; Traina, Agma Juci Machado ; Wang, Hua
Fonte: Health Information Science and Systems. Unidade: ICMC
Assuntos: SISTEMA DE SAÚDE, ALGORITMOS GENÉTICOS, TELEMEDICINA
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ABNT
PANG, Xinyu et al. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Information Science and Systems, v. 11, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1007/s13755-023-00230-1. Acesso em: 11 out. 2024.
APA
Pang, X., Ge, Y. ‑F., Wang, K., Traina, A. J. M., & Wang, H. (2023). Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Information Science and Systems, 11, 1-12. doi:10.1007/s13755-023-00230-1
NLM
Pang X, Ge Y‑F, Wang K, Traina AJM, Wang H. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm [Internet]. Health Information Science and Systems. 2023 ; 11 1-12.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s13755-023-00230-1
Vancouver
Pang X, Ge Y‑F, Wang K, Traina AJM, Wang H. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm [Internet]. Health Information Science and Systems. 2023 ; 11 1-12.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s13755-023-00230-1
Monografia/livro-ed/org
Proceedings of the 11th International Conference on Health Information Science - HIS (2022)
Traina, Agma Juci Machado (Editor) ; Wang, Hua (Editor) ; Zhang, Yong (Editor) ; Siuly, Siuly (Editor) ; Zhou, Rui (Editor) ; Chen, Lu (Editor)
Nome do evento: International Conference on Health Information Science - HIS. Unidade: ICMC
Assuntos: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA INFORMAÇÃO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Proceedings of the 11th International Conference on Health Information Science - HIS. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-20627-6. Acesso em: 11 out. 2024. , 2022
APA
Proceedings of the 11th International Conference on Health Information Science - HIS. (2022). Proceedings of the 11th International Conference on Health Information Science - HIS. Cham: Springer. doi:10.1007/978-3-031-20627-6
NLM
Proceedings of the 11th International Conference on Health Information Science - HIS [Internet]. 2022 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Vancouver
Proceedings of the 11th International Conference on Health Information Science - HIS [Internet]. 2022 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Parte de monografia/livro-apres/pref/posf
The International Conference Series on Health Information Science (HIS) provides... [Prefácio] (2022)
Traina, Agma Juci Machado (Editor) ; Wang, Hua (Editor) ; Zhang, Yong (Editor) ; Siuly, Siuly (Editor) ; Zhou, Rui (Editor) ; Chen, Lu (Editor)
Fonte: Proceedings of the 11th International Conference on Health Information Science - HIS. Nome do evento: International Conference on Health Information Science - HIS. Unidade: ICMC
Assuntos: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA INFORMAÇÃO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio]. Proceedings of the 11th International Conference on Health Information Science - HIS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-20627-6. Acesso em: 11 out. 2024. , 2022
APA
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio]. (2022). The International Conference Series on Health Information Science (HIS) provides.. [Prefácio]. Proceedings of the 11th International Conference on Health Information Science - HIS. Cham: Springer. doi:10.1007/978-3-031-20627-6
NLM
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio] [Internet]. Proceedings of the 11th International Conference on Health Information Science - HIS. 2022 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Vancouver
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio] [Internet]. Proceedings of the 11th International Conference on Health Information Science - HIS. 2022 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Artigo de periodico
Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination (2022)
Aradhya, Abhay M. S ; Ashfahani, Andri; Angelina, Fienny; Pratama, Mahardhika ; Mello, Rodrigo Fernandes de ; Sundaram, Suresh
Fonte: Information Sciences. Unidade: ICMC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO EVOLUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARADHYA, Abhay M. S et al. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination. Information Sciences, v. 607, p. 638-653, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2022.05.100. Acesso em: 11 out. 2024.
APA
Aradhya, A. M. S., Ashfahani, A., Angelina, F., Pratama, M., Mello, R. F. de, & Sundaram, S. (2022). Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination. Information Sciences, 607, 638-653. doi:10.1016/j.ins.2022.05.100
NLM
Aradhya AMS, Ashfahani A, Angelina F, Pratama M, Mello RF de, Sundaram S. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination [Internet]. Information Sciences. 2022 ; 607 638-653.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.ins.2022.05.100
Vancouver
Aradhya AMS, Ashfahani A, Angelina F, Pratama M, Mello RF de, Sundaram S. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination [Internet]. Information Sciences. 2022 ; 607 638-653.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.ins.2022.05.100
Artigo de periodico
Cattle counting in the wild with geolocated aerial images in large pasture areas (2021)
Soares, Victor Hugo Andrade ; Ponti, Moacir Antonelli ; Gonçalves, Rodrigo Almeida; Campello, Ricardo José Gabrielli Barreto
Fonte: Computers and Electronics in Agriculture. Unidade: ICMC
Assuntos: AGRICULTURA DE PRECISÃO, PECUÁRIA, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, AERONAVES NÃO TRIPULADAS
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ABNT
SOARES, Victor Hugo Andrade et al. Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, v. 189, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106354. Acesso em: 11 out. 2024.
APA
Soares, V. H. A., Ponti, M. A., Gonçalves, R. A., & Campello, R. J. G. B. (2021). Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, 189, 1-14. doi:10.1016/j.compag.2021.106354
NLM
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Vancouver
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Artigo de periodico
Pre-processing approaches for collaborative filtering based on hierarchical clustering (2020)
Aguiar Neto, Fernando Soares de ; Costa, Arthur Fortes da ; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Fonte: Information Sciences. Unidade: ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, MULTIMÍDIA INTERATIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR NETO, Fernando Soares de et al. Pre-processing approaches for collaborative filtering based on hierarchical clustering. Information Sciences, v. 534, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.05.021. Acesso em: 11 out. 2024.
APA
Aguiar Neto, F. S. de, Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2020). Pre-processing approaches for collaborative filtering based on hierarchical clustering. Information Sciences, 534, Se 2020. doi:10.1016/j.ins.2020.05.021
NLM
Aguiar Neto FS de, Costa AF da, Manzato MG, Campello RJGB. Pre-processing approaches for collaborative filtering based on hierarchical clustering [Internet]. Information Sciences. 2020 ; 534 Se 2020.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.ins.2020.05.021
Vancouver
Aguiar Neto FS de, Costa AF da, Manzato MG, Campello RJGB. Pre-processing approaches for collaborative filtering based on hierarchical clustering [Internet]. Information Sciences. 2020 ; 534 Se 2020.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.ins.2020.05.021
Artigo de periodico
Measuring the shattering coefficient of decision tree models (2019)
Mello, Rodrigo Fernandes de ; Manapragada, Chaitanya; Bifet, Albert
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MATEMÁTICA DA COMPUTAÇÃO
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ABNT
MELLO, Rodrigo Fernandes de e MANAPRAGADA, Chaitanya e BIFET, Albert. Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, v. 137, p. 443-452, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.012. Acesso em: 11 out. 2024.
APA
Mello, R. F. de, Manapragada, C., & Bifet, A. (2019). Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, 137, 443-452. doi:10.1016/j.eswa.2019.07.012
NLM
Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
Vancouver
Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
Artigo de periodico
Designing architectures of convolutional neural networks to solve practical problems (2018)
Ferreira, Martha Dais; Corrêa, Débora Cristina; Nonato, Luis Gustavo ; Mello, Rodrigo Fernandes de
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
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ABNT
FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 11 out. 2024.
APA
Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052
NLM
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Vancouver
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Trabalho de evento
Crop anomaly identification with color filters and convolutional neural networks (2018)
Nardari, Guilherme Vicentim ; Romero, Roseli Aparecida Francelin ; Guizilini, Vitor C; Mareco, Willy E. C; Milori, Debora Marcondes Bastos Pereira ; Villas Boas, Paulino Ribeiro ; Santos, Igor Araujo Dias
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidade: ICMC
Assuntos: REDES NEURAIS, PROCESSAMENTO DE IMAGENS, AGRICULTURA DE PRECISÃO
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ABNT
NARDARI, Guilherme Vicentim et al. Crop anomaly identification with color filters and convolutional neural networks. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE.2018.00072. Acesso em: 11 out. 2024.
APA
Nardari, G. V., Romero, R. A. F., Guizilini, V. C., Mareco, W. E. C., Milori, D. M. B. P., Villas Boas, P. R., & Santos, I. A. D. (2018). Crop anomaly identification with color filters and convolutional neural networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS/SBR/WRE.2018.00072
NLM
Nardari GV, Romero RAF, Guizilini VC, Mareco WEC, Milori DMBP, Villas Boas PR, Santos IAD. Crop anomaly identification with color filters and convolutional neural networks [Internet]. Proceedings. 2018 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00072
Vancouver
Nardari GV, Romero RAF, Guizilini VC, Mareco WEC, Milori DMBP, Villas Boas PR, Santos IAD. Crop anomaly identification with color filters and convolutional neural networks [Internet]. Proceedings. 2018 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00072
Trabalho de evento
Effects of emotion grouping for recognition in human-robot interactions (2018)
Tozadore, Daniel Carnieto; Ranieri, Caetano Mazzoni; Nardari, Guilherme V; Romero, Roseli Aparecida Francelin ; Guizilini, Vitor Campanholo
Fonte: Proceedings. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: INTERAÇÃO USUÁRIO-COMPUTADOR, ROBÔS, VISÃO COMPUTACIONAL, EMOÇÕES
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ABNT
TOZADORE, Daniel Carnieto et al. Effects of emotion grouping for recognition in human-robot interactions. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00082. Acesso em: 11 out. 2024.
APA
Tozadore, D. C., Ranieri, C. M., Nardari, G. V., Romero, R. A. F., & Guizilini, V. C. (2018). Effects of emotion grouping for recognition in human-robot interactions. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00082
NLM
Tozadore DC, Ranieri CM, Nardari GV, Romero RAF, Guizilini VC. Effects of emotion grouping for recognition in human-robot interactions [Internet]. Proceedings. 2018 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/BRACIS.2018.00082
Vancouver
Tozadore DC, Ranieri CM, Nardari GV, Romero RAF, Guizilini VC. Effects of emotion grouping for recognition in human-robot interactions [Internet]. Proceedings. 2018 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/BRACIS.2018.00082

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