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  • Trabalho de evento

    On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork (2023)

    Yourdshahi, Elnaz Shafpour; Yourdshahi, Elnaz Shafpour; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen

    Source: Proceedings. Conference titles: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

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      YOURDSHAHI, Elnaz Shafpour et al. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. 2023, Anais.. New York: ACM, 2023. Disponível em: https://dl.acm.org/doi/10.5555/3545946.3598629. Acesso em: 24 set. 2023.

    • APA

      Yourdshahi, E. S., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2023). On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. In Proceedings. New York: ACM. doi:10.5555/3545946.3598629

    • NLM

      Yourdshahi ES, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2023 set. 24 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629

    • Vancouver

      Yourdshahi ES, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Proceedings. 2023 ;[citado 2023 set. 24 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629

  • Artigo de periodico

    MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems (2023)

    Silva, Alef Vinicius Cardoso e; Giuntini, Felipe Taliar ; Ranieri, Caetano Mazzoni ; Meneguette, Rodolfo Ipolito ; Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Krishnamachari, Bhaskar ; Ueyama, Jó

    Source: Journal of Network and Systems Management. Unidade: ICMC

    Subjects: MIDDLEWARE, REGISTROS MÉDICOS, SEGURANÇA DE REDES

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      SILVA, Alef Vinicius Cardoso e et al. MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems. Journal of Network and Systems Management, v. 31, p. 1-29, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10922-023-09736-1. Acesso em: 24 set. 2023.

    • APA

      Silva, A. V. C. e, Giuntini, F. T., Ranieri, C. M., Meneguette, R. I., Garcia, R. D., Ramachandran, G. S., et al. (2023). MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems. Journal of Network and Systems Management, 31, 1-29. doi:10.1007/s10922-023-09736-1

    • NLM

      Silva AVC e, Giuntini FT, Ranieri CM, Meneguette RI, Garcia RD, Ramachandran GS, Krishnamachari B, Ueyama J. MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems [Internet]. Journal of Network and Systems Management. 2023 ; 31 1-29.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10922-023-09736-1

    • Vancouver

      Silva AVC e, Giuntini FT, Ranieri CM, Meneguette RI, Garcia RD, Ramachandran GS, Krishnamachari B, Ueyama J. MADCS: a Middleware for anomaly detection and content sharing for blockchain‑based systems [Internet]. Journal of Network and Systems Management. 2023 ; 31 1-29.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10922-023-09736-1

  • Artigo de periodico

    Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey (2023)

    Mosaiyebzadeh, Fatemeh ; Pouriyeh, Seyedamin ; Parizi, Reza M ; Sheng, Quan Z ; Han, Meng ; Zhao, Liang ; Sannino, Giovanna ; Ranieri, Caetano Mazzoni ; Ueyama, Jó ; Batista, Daniel Macêdo

    Source: Electronics. Unidades: ICMC, IME

    Subjects: INTERNET DAS COISAS, TECNOLOGIAS DA SAÚDE, PRIVACIDADE, APRENDIZAGEM

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      MOSAIYEBZADEH, Fatemeh et al. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, v. 12, n. 12, p. 1-28, 2023Tradução . . Disponível em: https://doi.org/10.3390/electronics12122703. Acesso em: 24 set. 2023.

    • APA

      Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Sheng, Q. Z., Han, M., Zhao, L., et al. (2023). Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, 12( 12), 1-28. doi:10.3390/electronics12122703

    • NLM

      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2023 set. 24 ] Available from: https://doi.org/10.3390/electronics12122703

    • Vancouver

      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2023 set. 24 ] Available from: https://doi.org/10.3390/electronics12122703

  • Artigo de periodico

    Vehicular edge computing: architecture, resource management, security, and challenges (2023)

    Meneguette, Rodolfo Ipolito ; Grande, Robson E. De ; Ueyama, Jó ; Rocha Filho, Geraldo Pereira ; Madeira, Edmundo Roberto Mauro

    Source: ACM Computing Surveys. Unidade: ICMC

    Subjects: VEÍCULOS RODOVIÁRIOS, ALOCAÇÃO DE RECURSOS, COMPUTAÇÃO EM NUVEM, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO

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      MENEGUETTE, Rodolfo Ipolito et al. Vehicular edge computing: architecture, resource management, security, and challenges. ACM Computing Surveys, v. 55, n. 1, p. 1-46, 2023Tradução . . Disponível em: https://doi.org/10.1145/3485129. Acesso em: 24 set. 2023.

    • APA

      Meneguette, R. I., Grande, R. E. D., Ueyama, J., Rocha Filho, G. P., & Madeira, E. R. M. (2023). Vehicular edge computing: architecture, resource management, security, and challenges. ACM Computing Surveys, 55( 1), 1-46. doi:10.1145/3485129

    • NLM

      Meneguette RI, Grande RED, Ueyama J, Rocha Filho GP, Madeira ERM. Vehicular edge computing: architecture, resource management, security, and challenges [Internet]. ACM Computing Surveys. 2023 ; 55( 1): 1-46.[citado 2023 set. 24 ] Available from: https://doi.org/10.1145/3485129

    • Vancouver

      Meneguette RI, Grande RED, Ueyama J, Rocha Filho GP, Madeira ERM. Vehicular edge computing: architecture, resource management, security, and challenges [Internet]. ACM Computing Surveys. 2023 ; 55( 1): 1-46.[citado 2023 set. 24 ] Available from: https://doi.org/10.1145/3485129

  • Artigo de periodico

    FLORAS: urban flash-flood prediction using a multivariate model (2023)

    Brito, Lucas Augusto Vieira; Meneguette, Rodolfo Ipolito ; Grande, Robson E. De ; Ranieri, Caetano Mazzoni ; Ueyama, Jó

    Source: Applied Intelligence. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, ENCHENTES URBANAS, APRENDIZADO COMPUTACIONAL

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      BRITO, Lucas Augusto Vieira et al. FLORAS: urban flash-flood prediction using a multivariate model. Applied Intelligence, v. 53, p. 16107-16125, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10489-022-04319-0. Acesso em: 24 set. 2023.

    • APA

      Brito, L. A. V., Meneguette, R. I., Grande, R. E. D., Ranieri, C. M., & Ueyama, J. (2023). FLORAS: urban flash-flood prediction using a multivariate model. Applied Intelligence, 53, 16107-16125. doi:10.1007/s10489-022-04319-0

    • NLM

      Brito LAV, Meneguette RI, Grande RED, Ranieri CM, Ueyama J. FLORAS: urban flash-flood prediction using a multivariate model [Internet]. Applied Intelligence. 2023 ; 53 16107-16125.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10489-022-04319-0

    • Vancouver

      Brito LAV, Meneguette RI, Grande RED, Ranieri CM, Ueyama J. FLORAS: urban flash-flood prediction using a multivariate model [Internet]. Applied Intelligence. 2023 ; 53 16107-16125.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10489-022-04319-0

  • Artigo de periodico

    Federated system for transport mode detection (2022)

    Cavalcante, Iago Carvalho ; Meneguette, Rodolfo Ipolito ; Torres, Renato Hidaka ; Mano, Leandro Yukio ; Gonçalves, Vinicius Pereira ; Ueyama, Jó ; Pessin, Gustavo ; Nze, Georges Daniel Amvame ; Rocha Filho, Geraldo Pereira

    Source: Energies. Unidade: ICMC

    Subjects: REDES NEURAIS, TRANSPORTE URBANO, TELEFONIA MÓVEL, CIDADES INTELIGENTES

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      CAVALCANTE, Iago Carvalho et al. Federated system for transport mode detection. Energies, v. 15, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/en15239256. Acesso em: 24 set. 2023.

    • APA

      Cavalcante, I. C., Meneguette, R. I., Torres, R. H., Mano, L. Y., Gonçalves, V. P., Ueyama, J., et al. (2022). Federated system for transport mode detection. Energies, 15, 1-17. doi:10.3390/en15239256

    • NLM

      Cavalcante IC, Meneguette RI, Torres RH, Mano LY, Gonçalves VP, Ueyama J, Pessin G, Nze GDA, Rocha Filho GP. Federated system for transport mode detection [Internet]. Energies. 2022 ; 15 1-17.[citado 2023 set. 24 ] Available from: https://doi.org/10.3390/en15239256

    • Vancouver

      Cavalcante IC, Meneguette RI, Torres RH, Mano LY, Gonçalves VP, Ueyama J, Pessin G, Nze GDA, Rocha Filho GP. Federated system for transport mode detection [Internet]. Energies. 2022 ; 15 1-17.[citado 2023 set. 24 ] Available from: https://doi.org/10.3390/en15239256

  • Artigo de periodico

    Exploiting smart contracts in PBFT-based blockchains: a case study in medical prescription system (2022)

    Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Ueyama, Jó

    Source: Computer Networks. Unidade: ICMC

    Subjects: PLATAFORMA DIGITAL, AVALIAÇÃO DE DESEMPENHO, ESTUDO DE CASO, REGISTROS MÉDICOS

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      GARCIA, Rodrigo Dutra e RAMACHANDRAN, Gowri Sankar e UEYAMA, Jó. Exploiting smart contracts in PBFT-based blockchains: a case study in medical prescription system. Computer Networks, v. 211, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.comnet.2022.109003. Acesso em: 24 set. 2023.

    • APA

      Garcia, R. D., Ramachandran, G. S., & Ueyama, J. (2022). Exploiting smart contracts in PBFT-based blockchains: a case study in medical prescription system. Computer Networks, 211, 1-9. doi:10.1016/j.comnet.2022.109003

    • NLM

      Garcia RD, Ramachandran GS, Ueyama J. Exploiting smart contracts in PBFT-based blockchains: a case study in medical prescription system [Internet]. Computer Networks. 2022 ; 211 1-9.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.comnet.2022.109003

    • Vancouver

      Garcia RD, Ramachandran GS, Ueyama J. Exploiting smart contracts in PBFT-based blockchains: a case study in medical prescription system [Internet]. Computer Networks. 2022 ; 211 1-9.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.comnet.2022.109003

  • Artigo de periodico

    Providing a greater precision of situational awareness of urban floods through multimodal fusion (2022)

    Costa, Thiago Aparecido Gonçalves da ; Meneguette, Rodolfo Ipolito ; Ueyama, Jó

    Source: Expert Systems With Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ENCHENTES URBANAS, REDES SOCIAIS

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      COSTA, Thiago Aparecido Gonçalves da e MENEGUETTE, Rodolfo Ipolito e UEYAMA, Jó. Providing a greater precision of situational awareness of urban floods through multimodal fusion. Expert Systems With Applications, v. 188, p. 1-28, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115923. Acesso em: 24 set. 2023.

    • APA

      Costa, T. A. G. da, Meneguette, R. I., & Ueyama, J. (2022). Providing a greater precision of situational awareness of urban floods through multimodal fusion. Expert Systems With Applications, 188, 1-28. doi:10.1016/j.eswa.2021.115923

    • NLM

      Costa TAG da, Meneguette RI, Ueyama J. Providing a greater precision of situational awareness of urban floods through multimodal fusion [Internet]. Expert Systems With Applications. 2022 ; 188 1-28.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115923

    • Vancouver

      Costa TAG da, Meneguette RI, Ueyama J. Providing a greater precision of situational awareness of urban floods through multimodal fusion [Internet]. Expert Systems With Applications. 2022 ; 188 1-28.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115923

  • Artigo de periodico

    A blockchain-based protocol for tracking user access to shared medical imaging (2022)

    Aguiar, Erikson Júlio de ; Santos, Alyson de Jesus dos; Meneguette, Rodolfo Ipolito ; Grande, Robson E. De ; Ueyama, Jó

    Source: Future Generation Computer Systems. Unidade: ICMC

    Subjects: PRIVACIDADE, SAÚDE, ANÁLISE DE DADOS

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      AGUIAR, Erikson Júlio de et al. A blockchain-based protocol for tracking user access to shared medical imaging. Future Generation Computer Systems, v. 134 , p. 348-360, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.future.2022.04.017. Acesso em: 24 set. 2023.

    • APA

      Aguiar, E. J. de, Santos, A. de J. dos, Meneguette, R. I., Grande, R. E. D., & Ueyama, J. (2022). A blockchain-based protocol for tracking user access to shared medical imaging. Future Generation Computer Systems, 134 , 348-360. doi:10.1016/j.future.2022.04.017

    • NLM

      Aguiar EJ de, Santos A de J dos, Meneguette RI, Grande RED, Ueyama J. A blockchain-based protocol for tracking user access to shared medical imaging [Internet]. Future Generation Computer Systems. 2022 ; 134 348-360.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.future.2022.04.017

    • Vancouver

      Aguiar EJ de, Santos A de J dos, Meneguette RI, Grande RED, Ueyama J. A blockchain-based protocol for tracking user access to shared medical imaging [Internet]. Future Generation Computer Systems. 2022 ; 134 348-360.[citado 2023 set. 24 ] Available from: https://doi.org/10.1016/j.future.2022.04.017

  • Artigo de periodico

    A river flooding detection system based on deep learning and computer vision (2022)

    Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ueyama, Jó

    Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: VISÃO COMPUTACIONAL, ENCHENTES URBANAS, SEMÂNTICA

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      FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 24 set. 2023.

    • APA

      Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3

    • NLM

      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s11042-022-12813-3

    • Vancouver

      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s11042-022-12813-3

  • Artigo de periodico

    Blockchain-aided and privacy-preserving data governance in multi-stakeholder applications (2022)

    Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Jurdak, Raja ; Ueyama, Jó

    Source: IEEE Transactions on Network and Service Management. Unidade: ICMC

    Subjects: SEGURANÇA DE REDES, CRIPTOLOGIA, PRIVACIDADE, REGISTROS MÉDICOS

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      GARCIA, Rodrigo Dutra et al. Blockchain-aided and privacy-preserving data governance in multi-stakeholder applications. IEEE Transactions on Network and Service Management, v. 19, n. 4, p. 3781-3793, 2022Tradução . . Disponível em: https://doi.org/10.1109/TNSM.2022.3225254. Acesso em: 24 set. 2023.

    • APA

      Garcia, R. D., Ramachandran, G. S., Jurdak, R., & Ueyama, J. (2022). Blockchain-aided and privacy-preserving data governance in multi-stakeholder applications. IEEE Transactions on Network and Service Management, 19( 4), 3781-3793. doi:10.1109/TNSM.2022.3225254

    • NLM

      Garcia RD, Ramachandran GS, Jurdak R, Ueyama J. Blockchain-aided and privacy-preserving data governance in multi-stakeholder applications [Internet]. IEEE Transactions on Network and Service Management. 2022 ; 19( 4): 3781-3793.[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/TNSM.2022.3225254

    • Vancouver

      Garcia RD, Ramachandran GS, Jurdak R, Ueyama J. Blockchain-aided and privacy-preserving data governance in multi-stakeholder applications [Internet]. IEEE Transactions on Network and Service Management. 2022 ; 19( 4): 3781-3793.[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/TNSM.2022.3225254

  • Trabalho de evento

    A blockchain-based data governance with privacy and provenance: a case study for e-prescription (2022)

    Garcia, Rodrigo Dutra ; Ramachandran, Gowri Sankar ; Jurdak, Raja ; Ueyama, Jó

    Source: Proceedings. Conference titles: IEEE International Conference on Blockchain and Cryptocurrency - ICBC. Unidade: ICMC

    Subjects: ENTRADA E SAÍDA DE DADOS, PRIVACIDADE

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      GARCIA, Rodrigo Dutra et al. A blockchain-based data governance with privacy and provenance: a case study for e-prescription. 2022, Anais.. Piscataway: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, 2022. Disponível em: https://doi.org/10.1109/ICBC54727.2022.9805545. Acesso em: 24 set. 2023.

    • APA

      Garcia, R. D., Ramachandran, G. S., Jurdak, R., & Ueyama, J. (2022). A blockchain-based data governance with privacy and provenance: a case study for e-prescription. In Proceedings. Piscataway: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1109/ICBC54727.2022.9805545

    • NLM

      Garcia RD, Ramachandran GS, Jurdak R, Ueyama J. A blockchain-based data governance with privacy and provenance: a case study for e-prescription [Internet]. Proceedings. 2022 ;[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/ICBC54727.2022.9805545

    • Vancouver

      Garcia RD, Ramachandran GS, Jurdak R, Ueyama J. A blockchain-based data governance with privacy and provenance: a case study for e-prescription [Internet]. Proceedings. 2022 ;[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/ICBC54727.2022.9805545

  • Artigo de periodico

    On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork (2022)

    Yourdshahi, Elnaz Shafpour; Alves, Matheus Aparecido do Carmo ; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen

    Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

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      YOURDSHAHI, Elnaz Shafpour et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 24 set. 2023.

    • APA

      Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9

    • NLM

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10458-022-09571-9

    • Vancouver

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10458-022-09571-9

  • Artigo de periodico

    On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork (2022)

    Yourdshahi, Elnaz Shafipour; Alves, Matheus Aparecido do Carmo ; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen

    Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: ALGORITMOS, APRENDIZAGEM, TRABALHO EM GRUPO

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    • ABNT

      YOURDSHAHI, Elnaz Shafipour et al. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 24 set. 2023.

    • APA

      Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9

    • NLM

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10458-022-09571-9

    • Vancouver

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s10458-022-09571-9

  • Texto na web

    Dispositivo emite em tempo real alertas contra enchentes. [Depoimento a Yuri Vasconcelos] (2022)

    Ueyama, Jó ; Alexandrini, Fábio ; Caballero, Pedro

    Unidade: ICMC

    Subjects: PREVISÃO DE ENCHENTES URBANAS, INTELIGÊNCIA ARTIFICIAL

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      UEYAMA, Jó e ALEXANDRINI, Fábio e CABALLERO, Pedro. Dispositivo emite em tempo real alertas contra enchentes. [Depoimento a Yuri Vasconcelos]. . São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://revistapesquisa.fapesp.br/dispositivo-emite-em-tempo-real-alertas-contra-enchentes. Acesso em: 24 set. 2023. , 2022

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      Ueyama, J., Alexandrini, F., & Caballero, P. (2022). Dispositivo emite em tempo real alertas contra enchentes. [Depoimento a Yuri Vasconcelos]. São Paulo: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Recuperado de https://revistapesquisa.fapesp.br/dispositivo-emite-em-tempo-real-alertas-contra-enchentes

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      Ueyama J, Alexandrini F, Caballero P. Dispositivo emite em tempo real alertas contra enchentes. [Depoimento a Yuri Vasconcelos] [Internet]. 2022 ;[citado 2023 set. 24 ] Available from: https://revistapesquisa.fapesp.br/dispositivo-emite-em-tempo-real-alertas-contra-enchentes

    • Vancouver

      Ueyama J, Alexandrini F, Caballero P. Dispositivo emite em tempo real alertas contra enchentes. [Depoimento a Yuri Vasconcelos] [Internet]. 2022 ;[citado 2023 set. 24 ] Available from: https://revistapesquisa.fapesp.br/dispositivo-emite-em-tempo-real-alertas-contra-enchentes

  • Artigo de periodico

    Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river (2021)

    Vieira, Alen Costa; Garcia, Gabriel; Pabón, Rosa Elvira Correa ; Cota, Luciano Perdigão ; Souza, Paulo de; Ueyama, Jó ; Pessin, Gustavo

    Source: Earth Science Informatics. Unidade: ICMC

    Subjects: ESTUDO DE CASO, ALGORITMOS GENÉTICOS, RIOS, REGRESSÃO LINEAR

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      VIEIRA, Alen Costa et al. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river. Earth Science Informatics, v. 14, p. 37-50, 2021Tradução . . Disponível em: https://doi.org/10.1007/s12145-020-00528-8. Acesso em: 24 set. 2023.

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      Vieira, A. C., Garcia, G., Pabón, R. E. C., Cota, L. P., Souza, P. de, Ueyama, J., & Pessin, G. (2021). Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river. Earth Science Informatics, 14, 37-50. doi:10.1007/s12145-020-00528-8

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      Vieira AC, Garcia G, Pabón REC, Cota LP, Souza P de, Ueyama J, Pessin G. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river [Internet]. Earth Science Informatics. 2021 ; 14 37-50.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s12145-020-00528-8

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      Vieira AC, Garcia G, Pabón REC, Cota LP, Souza P de, Ueyama J, Pessin G. Improving flood forecasting through feature selection by a genetic algorithm: experiments based on real data from an Amazon rainforest river [Internet]. Earth Science Informatics. 2021 ; 14 37-50.[citado 2023 set. 24 ] Available from: https://doi.org/10.1007/s12145-020-00528-8

  • Artigo de periodico

    A mechanism for verifying the integrity and immutability of tuberculosis data using IOTA distributed ledger technology (2021)

    Lima, Vinícius Costa ; Bernardi, Filipe Andrade ; Rijo, Rui Pedro Chaters Lopes ; Ueyama, Jó ; Alves, Domingos

    Source: Studies in Health Technology and Informatics. Unidades: ICMC, FMRP, BIOENGENHARIA

    Subjects: TUBERCULOSE, REGISTROS MÉDICOS, INFORMÁTICA MÉDICA, SEGURANÇA DE COMPUTADORES

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      LIMA, Vinícius Costa et al. A mechanism for verifying the integrity and immutability of tuberculosis data using IOTA distributed ledger technology. Studies in Health Technology and Informatics, v. 279, p. 130-135, 2021Tradução . . Disponível em: https://doi.org/10.3233/SHTI210099. Acesso em: 24 set. 2023.

    • APA

      Lima, V. C., Bernardi, F. A., Rijo, R. P. C. L., Ueyama, J., & Alves, D. (2021). A mechanism for verifying the integrity and immutability of tuberculosis data using IOTA distributed ledger technology. Studies in Health Technology and Informatics, 279, 130-135. doi:10.3233/SHTI210099

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      Lima VC, Bernardi FA, Rijo RPCL, Ueyama J, Alves D. A mechanism for verifying the integrity and immutability of tuberculosis data using IOTA distributed ledger technology [Internet]. Studies in Health Technology and Informatics. 2021 ; 279 130-135.[citado 2023 set. 24 ] Available from: https://doi.org/10.3233/SHTI210099

    • Vancouver

      Lima VC, Bernardi FA, Rijo RPCL, Ueyama J, Alves D. A mechanism for verifying the integrity and immutability of tuberculosis data using IOTA distributed ledger technology [Internet]. Studies in Health Technology and Informatics. 2021 ; 279 130-135.[citado 2023 set. 24 ] Available from: https://doi.org/10.3233/SHTI210099

  • Artigo de periodico

    Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)

    Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó

    Source: Sensors. Unidade: ICMC

    Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS

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      FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 24 set. 2023.

    • APA

      Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506

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      Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2023 set. 24 ] Available from: https://doi.org/10.3390/s21227506

    • Vancouver

      Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2023 set. 24 ] Available from: https://doi.org/10.3390/s21227506

  • Artigo de periodico

    Tracing the emotional roadmap of depressive users on social media through sequential pattern mining (2021)

    Giuntini, Felipe Taliar ; Moraes, Kauê Lopes de ; Cazzolato, Mirela Teixeira ; Kirchner, Luziane de Fátima ; Reis, Maria de Jesus Dutra dos ; Traina, Agma Juci Machado ; Campbell, Andrew T; Ueyama, Jó

    Source: IEEE Access. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, DEPRESSÃO, MÍDIAS SOCIAIS

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      GIUNTINI, Felipe Taliar et al. Tracing the emotional roadmap of depressive users on social media through sequential pattern mining. IEEE Access, v. 9, p. 97621-97635, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3095759. Acesso em: 24 set. 2023.

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      Giuntini, F. T., Moraes, K. L. de, Cazzolato, M. T., Kirchner, L. de F., Reis, M. de J. D. dos, Traina, A. J. M., et al. (2021). Tracing the emotional roadmap of depressive users on social media through sequential pattern mining. IEEE Access, 9, 97621-97635. doi:10.1109/ACCESS.2021.3095759

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      Giuntini FT, Moraes KL de, Cazzolato MT, Kirchner L de F, Reis M de JD dos, Traina AJM, Campbell AT, Ueyama J. Tracing the emotional roadmap of depressive users on social media through sequential pattern mining [Internet]. IEEE Access. 2021 ; 9 97621-97635.[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/ACCESS.2021.3095759

    • Vancouver

      Giuntini FT, Moraes KL de, Cazzolato MT, Kirchner L de F, Reis M de JD dos, Traina AJM, Campbell AT, Ueyama J. Tracing the emotional roadmap of depressive users on social media through sequential pattern mining [Internet]. IEEE Access. 2021 ; 9 97621-97635.[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/ACCESS.2021.3095759

  • Artigo de periodico

    Modeling and assessing the temporal behavior of emotional and depressive user interactions on social networks (2021)

    Giuntini, Felipe Taliar ; Moraes, Kauê Lopes de ; Cazzolato, Mirela Teixeira ; Kirchner, Luziane de Fátima ; Reis, Maria de Jesus Dutra dos ; Traina, Agma Juci Machado ; Campbell, Andrew T; Ueyama, Jó

    Source: IEEE Access. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, MÍDIAS SOCIAIS, DEPRESSÃO

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      GIUNTINI, Felipe Taliar et al. Modeling and assessing the temporal behavior of emotional and depressive user interactions on social networks. IEEE Access, v. 9, p. 93182-93194, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3091801. Acesso em: 24 set. 2023.

    • APA

      Giuntini, F. T., Moraes, K. L. de, Cazzolato, M. T., Kirchner, L. de F., Reis, M. de J. D. dos, Traina, A. J. M., et al. (2021). Modeling and assessing the temporal behavior of emotional and depressive user interactions on social networks. IEEE Access, 9, 93182-93194. doi:10.1109/ACCESS.2021.3091801

    • NLM

      Giuntini FT, Moraes KL de, Cazzolato MT, Kirchner L de F, Reis M de JD dos, Traina AJM, Campbell AT, Ueyama J. Modeling and assessing the temporal behavior of emotional and depressive user interactions on social networks [Internet]. IEEE Access. 2021 ; 9 93182-93194.[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/ACCESS.2021.3091801

    • Vancouver

      Giuntini FT, Moraes KL de, Cazzolato MT, Kirchner L de F, Reis M de JD dos, Traina AJM, Campbell AT, Ueyama J. Modeling and assessing the temporal behavior of emotional and depressive user interactions on social networks [Internet]. IEEE Access. 2021 ; 9 93182-93194.[citado 2023 set. 24 ] Available from: https://doi.org/10.1109/ACCESS.2021.3091801

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