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  • Artigo de periodico

    ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages (2024)

    Nachtigall, Pedro Gabriel ; Durham, Alan Mitchell ; Rokyta, Darin R. ; Junqueira-de-azevedo, Inacio Loiola Meirelles

    Source: GigaScience. Unidades: IME, IB

    Subjects: COMPUTAÇÃO APLICADA, GENÔMICA

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      NACHTIGALL, Pedro Gabriel et al. ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages. GigaScience, v. 13, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1093/gigascience/giad116. Acesso em: 15 maio 2024.

    • APA

      Nachtigall, P. G., Durham, A. M., Rokyta, D. R., & Junqueira-de-azevedo, I. L. M. (2024). ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages. GigaScience, 13, 1-17. doi:10.1093/gigascience/giad116

    • NLM

      Nachtigall PG, Durham AM, Rokyta DR, Junqueira-de-azevedo ILM. ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages [Internet]. GigaScience. 2024 ; 13 1-17.[citado 2024 maio 15 ] Available from: https://doi.org/10.1093/gigascience/giad116

    • Vancouver

      Nachtigall PG, Durham AM, Rokyta DR, Junqueira-de-azevedo ILM. ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages [Internet]. GigaScience. 2024 ; 13 1-17.[citado 2024 maio 15 ] Available from: https://doi.org/10.1093/gigascience/giad116

  • Artigo de periodico

    Enabling HW-based task scheduling in large multicore architectures (2024)

    Morais, Lucas; Álvarez, Carlos; Jiménez-González, Daniel; de Haro, Juan Miguel; Araujo , Guido ; Frank, Michael; Goldman, Alfredo ; Martorell, Xavier

    Source: IEEE Transactions on Computers. Unidade: IME

    Subjects: PROGRAMAÇÃO PARALELA, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      MORAIS, Lucas et al. Enabling HW-based task scheduling in large multicore architectures. IEEE Transactions on Computers, v. 73, n. 1, p. 1138-151, 2024Tradução . . Disponível em: https://doi.org/10.1109/TC.2023.3323781. Acesso em: 15 maio 2024.

    • APA

      Morais, L., Álvarez, C., Jiménez-González, D., de Haro, J. M., Araujo , G., Frank, M., et al. (2024). Enabling HW-based task scheduling in large multicore architectures. IEEE Transactions on Computers, 73( 1), 1138-151. doi:10.1109/TC.2023.3323781

    • NLM

      Morais L, Álvarez C, Jiménez-González D, de Haro JM, Araujo G, Frank M, Goldman A, Martorell X. Enabling HW-based task scheduling in large multicore architectures [Internet]. IEEE Transactions on Computers. 2024 ; 73( 1): 1138-151.[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/TC.2023.3323781

    • Vancouver

      Morais L, Álvarez C, Jiménez-González D, de Haro JM, Araujo G, Frank M, Goldman A, Martorell X. Enabling HW-based task scheduling in large multicore architectures [Internet]. IEEE Transactions on Computers. 2024 ; 73( 1): 1138-151.[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/TC.2023.3323781

  • Artigo de periodico

    Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery (2023)

    Hosseini, Maryam; Sevtsuk, Andres ; Miranda, Fabio ; César Júnior, Roberto Marcondes ; Silva, Claudio T.

    Source: Computers, Environment and Urban Systems. Unidade: IME

    Subjects: MOBILIDADE URBANA, COMPUTAÇÃO APLICADA, SEMÂNTICA DE PROGRAMAÇÃO

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      HOSSEINI, Maryam et al. Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery. Computers, Environment and Urban Systems, v. 101, n. artigo 101950, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2023.101950. Acesso em: 15 maio 2024.

    • APA

      Hosseini, M., Sevtsuk, A., Miranda, F., César Júnior, R. M., & Silva, C. T. (2023). Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery. Computers, Environment and Urban Systems, 101( artigo 101950), 1-13. doi:10.1016/j.compenvurbsys.2023.101950

    • NLM

      Hosseini M, Sevtsuk A, Miranda F, César Júnior RM, Silva CT. Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery [Internet]. Computers, Environment and Urban Systems. 2023 ; 101( artigo 101950): 1-13.[citado 2024 maio 15 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2023.101950

    • Vancouver

      Hosseini M, Sevtsuk A, Miranda F, César Júnior RM, Silva CT. Mapping the walk: a scalable computer vision approach for generating sidewalk network datasets from aerial imagery [Internet]. Computers, Environment and Urban Systems. 2023 ; 101( artigo 101950): 1-13.[citado 2024 maio 15 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2023.101950

  • 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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    • ABNT

      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: 15 maio 2024.

    • 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 2024 maio 15 ] 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 2024 maio 15 ] Available from: https://doi.org/10.3390/electronics12122703

  • Artigo de periodico

    A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification (2023)

    Relvas, Carlos E. M.; Nakata, Asuka; Chen, Guoan; Beer, David G. ; Gotoh, Noriko ; Fujita, André

    Source: Journal of Bioinformatics and Computational Biology. Unidade: IME

    Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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      RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 15 maio 2024.

    • APA

      Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191

    • NLM

      Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 maio 15 ] Available from: https://doi.org/10.1142/S0219720023500191

    • Vancouver

      Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 maio 15 ] Available from: https://doi.org/10.1142/S0219720023500191

  • Artigo de periodico

    AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells (2023)

    Badain, Rafael ; Damineli, Daniel S. C. ; Portes, Maria Teresa ; Feijó, José ; Buratti, Stefano ; Tortora, Giorgia ; Oliveira, Hugo Neves de ; César Júnior, Roberto Marcondes

    Source: Journal of Visualized Experiments. Unidades: IB, IME, PRÓ-G, FM

    Assunto: PROCESSAMENTO DE IMAGENS

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      BADAIN, Rafael et al. AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells. Journal of Visualized Experiments, v. 196, n. artigo e64857, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.3791/64857. Acesso em: 15 maio 2024.

    • APA

      Badain, R., Damineli, D. S. C., Portes, M. T., Feijó, J., Buratti, S., Tortora, G., et al. (2023). AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells. Journal of Visualized Experiments, 196( artigo e64857), 1-15. doi:10.3791/64857

    • NLM

      Badain R, Damineli DSC, Portes MT, Feijó J, Buratti S, Tortora G, Oliveira HN de, César Júnior RM. AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells [Internet]. Journal of Visualized Experiments. 2023 ; 196( artigo e64857): 1-15.[citado 2024 maio 15 ] Available from: https://doi.org/10.3791/64857

    • Vancouver

      Badain R, Damineli DSC, Portes MT, Feijó J, Buratti S, Tortora G, Oliveira HN de, César Júnior RM. AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells [Internet]. Journal of Visualized Experiments. 2023 ; 196( artigo e64857): 1-15.[citado 2024 maio 15 ] Available from: https://doi.org/10.3791/64857

  • Trabalho de evento

    Intrusion detection system for IoHT devices using federated learning (2023)

    Mosaiyebzadeh, Fatemeh; Pouriyeh, Seyedamin ; Parizi, Reza M ; Han, Meng ; Batista, Daniel Macêdo

    Source: Proceedings. Conference titles: Conference on Computer Communications Workshops -INFOCOM WKSHPS. Unidade: IME

    Subjects: INTERNET DAS COISAS, APRENDIZAGEM PROFUNDA, AVALIAÇÃO DE DESEMPENHO

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    • ABNT

      MOSAIYEBZADEH, Fatemeh et al. Intrusion detection system for IoHT devices using federated learning. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225932. Acesso em: 15 maio 2024.

    • APA

      Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Han, M., & Batista, D. M. (2023). Intrusion detection system for IoHT devices using federated learning. In Proceedings. Piscataway: IEEE. doi:10.1109/INFOCOMWKSHPS57453.2023.10225932

    • NLM

      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Han M, Batista DM. Intrusion detection system for IoHT devices using federated learning [Internet]. Proceedings. 2023 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225932

    • Vancouver

      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Han M, Batista DM. Intrusion detection system for IoHT devices using federated learning [Internet]. Proceedings. 2023 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225932

  • Trabalho de evento

    Exploring the role of ChatGPT in education: applications and challenges (2023)

    Mosaiyebzadeh, Fatemeh ; Pouriyeh, Seyedamin ; Parizi, Reza M ; Dehbozorgi, Nasrin ; Dorodchi, Mohsen ; Batista, Daniel Macêdo

    Source: Proceedings. Conference titles: Annual Conference on Information Technology Education - SIGITE. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, EDUCAÇÃO, ENSINO E APRENDIZAGEM

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      MOSAIYEBZADEH, Fatemeh et al. Exploring the role of ChatGPT in education: applications and challenges. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3585059.3611445. Acesso em: 15 maio 2024.

    • APA

      Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Dehbozorgi, N., Dorodchi, M., & Batista, D. M. (2023). Exploring the role of ChatGPT in education: applications and challenges. In Proceedings. New York: ACM. doi:10.1145/3585059.3611445

    • NLM

      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Dehbozorgi N, Dorodchi M, Batista DM. Exploring the role of ChatGPT in education: applications and challenges [Internet]. Proceedings. 2023 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/3585059.3611445

    • Vancouver

      Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Dehbozorgi N, Dorodchi M, Batista DM. Exploring the role of ChatGPT in education: applications and challenges [Internet]. Proceedings. 2023 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/3585059.3611445

  • Trabalho de evento

    Tempo vs. pitch: understanding self-supervised tempo estimation (2023)

    Morais, Giovana Vieira de; Davies, Matthew E. P; Queiroz, Marcelo Gomes de ; Fuentes, Magdalena

    Source: Proceedings. Conference titles: International Conference on Acoustics, Speech and Signal Processing - ICASSP. Unidade: IME

    Subjects: PROCESSAMENTO DE SINAIS, PROCESSAMENTO DE LINGUAGEM NATURAL

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    • ABNT

      MORAIS, Giovana Vieira de et al. Tempo vs. pitch: understanding self-supervised tempo estimation. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICASSP49357.2023.10095292. Acesso em: 15 maio 2024.

    • APA

      Morais, G. V. de, Davies, M. E. P., Queiroz, M. G. de, & Fuentes, M. (2023). Tempo vs. pitch: understanding self-supervised tempo estimation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICASSP49357.2023.10095292

    • NLM

      Morais GV de, Davies MEP, Queiroz MG de, Fuentes M. Tempo vs. pitch: understanding self-supervised tempo estimation [Internet]. Proceedings. 2023 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/ICASSP49357.2023.10095292

    • Vancouver

      Morais GV de, Davies MEP, Queiroz MG de, Fuentes M. Tempo vs. pitch: understanding self-supervised tempo estimation [Internet]. Proceedings. 2023 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/ICASSP49357.2023.10095292

  • Artigo de periodico

    Conference on graphics, patterns and images (2022)

    César Júnior, Roberto Marcondes ; Musse, Soraia ; Pelechano, Nuria ; Wang, Zhangyang

    Source: Pattern Recognition Letters. Unidade: IME

    Assunto: RECONHECIMENTO DE PADRÕES

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      CÉSAR JÚNIOR, Roberto Marcondes et al. Conference on graphics, patterns and images. Pattern Recognition Letters, v. 159, p. 223, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2022.05.002. Acesso em: 15 maio 2024.

    • APA

      César Júnior, R. M., Musse, S., Pelechano, N., & Wang, Z. (2022). Conference on graphics, patterns and images. Pattern Recognition Letters, 159, 223. doi:10.1016/j.patrec.2022.05.002

    • NLM

      César Júnior RM, Musse S, Pelechano N, Wang Z. Conference on graphics, patterns and images [Internet]. Pattern Recognition Letters. 2022 ; 159 223.[citado 2024 maio 15 ] Available from: https://doi.org/10.1016/j.patrec.2022.05.002

    • Vancouver

      César Júnior RM, Musse S, Pelechano N, Wang Z. Conference on graphics, patterns and images [Internet]. Pattern Recognition Letters. 2022 ; 159 223.[citado 2024 maio 15 ] Available from: https://doi.org/10.1016/j.patrec.2022.05.002

  • Trabalho de evento

    Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube (2022)

    Pina, Diogo ; Goldman, Alfredo ; Seaman, Carolyn

    Source: Proceedings. Conference titles: International Conference on Technical Debt - TechDebt. Unidade: IME

    Assunto: ENGENHARIA DE SOFTWARE

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      PINA, Diogo e GOLDMAN, Alfredo e SEAMAN, Carolyn. Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3524843.3528098. Acesso em: 15 maio 2024.

    • APA

      Pina, D., Goldman, A., & Seaman, C. (2022). Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube. In Proceedings. New York: ACM. doi:10.1145/3524843.3528098

    • NLM

      Pina D, Goldman A, Seaman C. Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube [Internet]. Proceedings. 2022 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/3524843.3528098

    • Vancouver

      Pina D, Goldman A, Seaman C. Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube [Internet]. Proceedings. 2022 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/3524843.3528098

  • Artigo de periodico

    Abstracting mobility flows from bike-sharing systems (2022)

    Kon, Fábio ; Ferreira, Éderson Cássio ; Souza, Higor Amario de ; Duarte, Fábio ; Santi, Paolo ; Ratti, Carlo

    Source: Public Transport. Unidades: IME, EACH

    Subjects: MOBILIDADE URBANA, TRANSPORTE URBANO, BICICLETAS

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      KON, Fábio et al. Abstracting mobility flows from bike-sharing systems. Public Transport, v. 14, n. 3, p. 545-581, 2022Tradução . . Disponível em: https://doi.org/10.1007/s12469-020-00259-5. Acesso em: 15 maio 2024.

    • APA

      Kon, F., Ferreira, É. C., Souza, H. A. de, Duarte, F., Santi, P., & Ratti, C. (2022). Abstracting mobility flows from bike-sharing systems. Public Transport, 14( 3), 545-581. doi:10.1007/s12469-020-00259-5

    • NLM

      Kon F, Ferreira ÉC, Souza HA de, Duarte F, Santi P, Ratti C. Abstracting mobility flows from bike-sharing systems [Internet]. Public Transport. 2022 ; 14( 3): 545-581.[citado 2024 maio 15 ] Available from: https://doi.org/10.1007/s12469-020-00259-5

    • Vancouver

      Kon F, Ferreira ÉC, Souza HA de, Duarte F, Santi P, Ratti C. Abstracting mobility flows from bike-sharing systems [Internet]. Public Transport. 2022 ; 14( 3): 545-581.[citado 2024 maio 15 ] Available from: https://doi.org/10.1007/s12469-020-00259-5

  • Artigo de periodico

    Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival (2022)

    Rius, Flávia Eichemberger ; Papaiz, Debora D'Angelo ; Azevedo, Hátylas ; Ayub, Ana Luísa P ; Pessoa, Diogo de Oliveira ; Oliveira, Tiago Franco de ; Loureiro, Ana Paula de Melo ; Andrade, Fernando; Fujita, André ; Reis, Eduardo Moraes ; Mason, Christopher E; Jasiulionis, Miriam Galvonas

    Source: Clinical Epigenetics. Unidades: IME, FCF, IQ

    Subjects: GENOMAS, MELANOMA, BIOINFORMÁTICA

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      RIUS, Flávia Eichemberger et al. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clinical Epigenetics, v. 14, n. artigo 68, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13148-022-01291-x. Acesso em: 15 maio 2024.

    • APA

      Rius, F. E., Papaiz, D. D. 'A., Azevedo, H., Ayub, A. L. P., Pessoa, D. de O., Oliveira, T. F. de, et al. (2022). Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clinical Epigenetics, 14( artigo 68), 1-20. doi:10.1186/s13148-022-01291-x

    • NLM

      Rius FE, Papaiz DD'A, Azevedo H, Ayub ALP, Pessoa D de O, Oliveira TF de, Loureiro AP de M, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival [Internet]. Clinical Epigenetics. 2022 ; 14( artigo 68): 1-20.[citado 2024 maio 15 ] Available from: https://doi.org/10.1186/s13148-022-01291-x

    • Vancouver

      Rius FE, Papaiz DD'A, Azevedo H, Ayub ALP, Pessoa D de O, Oliveira TF de, Loureiro AP de M, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival [Internet]. Clinical Epigenetics. 2022 ; 14( artigo 68): 1-20.[citado 2024 maio 15 ] Available from: https://doi.org/10.1186/s13148-022-01291-x

  • Artigo de periodico

    A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures (2022)

    Geng, Tongsheng ; Amarís, Marcos ; Zuckerman, Stéphane ; Goldman, Alfredo ; Gao, Guang R.; Gaudiot, Jean-Luc

    Source: International Journal of Parallel Programming. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, SCHEDULING

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      GENG, Tongsheng et al. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures. International Journal of Parallel Programming, v. 50, n. 1, p. 115-151, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10766-021-00721-2. Acesso em: 15 maio 2024.

    • APA

      Geng, T., Amarís, M., Zuckerman, S., Goldman, A., Gao, G. R., & Gaudiot, J. -L. (2022). A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures. International Journal of Parallel Programming, 50( 1), 115-151. doi:10.1007/s10766-021-00721-2

    • NLM

      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures [Internet]. International Journal of Parallel Programming. 2022 ; 50( 1): 115-151.[citado 2024 maio 15 ] Available from: https://doi.org/10.1007/s10766-021-00721-2

    • Vancouver

      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures [Internet]. International Journal of Parallel Programming. 2022 ; 50( 1): 115-151.[citado 2024 maio 15 ] Available from: https://doi.org/10.1007/s10766-021-00721-2

  • Trabalho de evento

    Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning (2022)

    Suprem, Abhijit; Vaidya, Sanjyot; Cherkadi, Suma; Singh, Purva; Ferreira, João Eduardo ; Pu, Calton

    Source: Proceedings. Conference titles: International Conference on Cognitive Machine Intelligence - CogMI. Unidade: IME

    Subjects: VISÃO COMPUTACIONAL, ENGENHARIA DE CONHECIMENTO, RECONHECIMENTO DE OBJETOS, VEÍCULOS

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      SUPREM, Abhijit et al. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/CogMI56440.2022.00021. Acesso em: 15 maio 2024.

    • APA

      Suprem, A., Vaidya, S., Cherkadi, S., Singh, P., Ferreira, J. E., & Pu, C. (2022). Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning. In Proceedings. Piscataway: IEEE. doi:10.1109/CogMI56440.2022.00021

    • NLM

      Suprem A, Vaidya S, Cherkadi S, Singh P, Ferreira JE, Pu C. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning [Internet]. Proceedings. 2022 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021

    • Vancouver

      Suprem A, Vaidya S, Cherkadi S, Singh P, Ferreira JE, Pu C. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning [Internet]. Proceedings. 2022 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021

  • 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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      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: 15 maio 2024.

    • 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 2024 maio 15 ] 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 2024 maio 15 ] Available from: https://doi.org/10.1109/CVPRW56347.2022.00474

  • Trabalho de evento

    Technical debt prioritization: a developer's perspective (2022)

    Pina, Diogo ; Seaman, Carolyn ; Goldman, Alfredo

    Source: Proceedings. Conference titles: International Conference on Technical Debt - TechDebt. Unidade: IME

    Assunto: ENGENHARIA DE SOFTWARE

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      PINA, Diogo e SEAMAN, Carolyn e GOLDMAN, Alfredo. Technical debt prioritization: a developer's perspective. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3524843.3528096. Acesso em: 15 maio 2024.

    • APA

      Pina, D., Seaman, C., & Goldman, A. (2022). Technical debt prioritization: a developer's perspective. In Proceedings. New York: ACM. doi:10.1145/3524843.3528096

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      Pina D, Seaman C, Goldman A. Technical debt prioritization: a developer's perspective [Internet]. Proceedings. 2022 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/3524843.3528096

    • Vancouver

      Pina D, Seaman C, Goldman A. Technical debt prioritization: a developer's perspective [Internet]. Proceedings. 2022 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/3524843.3528096

  • 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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      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: 15 maio 2024.

    • 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 2024 maio 15 ] 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 2024 maio 15 ] Available from: https://doi.org/10.1109/TFUZZ.2022.3153141

  • Artigo de periodico

    Robust and reliable process-aware information systems (2021)

    Schwerz, Andre Luis; Liberato, Rafael; Pu, Calton; Ferreira, João Eduardo

    Source: IEEE Transactions on Services Computing. Unidade: IME

    Subjects: SISTEMAS DE INFORMAÇÃO, BANCO DE DADOS

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      SCHWERZ, Andre Luis et al. Robust and reliable process-aware information systems. IEEE Transactions on Services Computing, v. 14. n. 3, p. 820-833, 2021Tradução . . Disponível em: https://doi.org/10.1109/TSC.2018.2824810. Acesso em: 15 maio 2024.

    • APA

      Schwerz, A. L., Liberato, R., Pu, C., & Ferreira, J. E. (2021). Robust and reliable process-aware information systems. IEEE Transactions on Services Computing, 14. n. 3, 820-833. doi:10.1109/TSC.2018.2824810

    • NLM

      Schwerz AL, Liberato R, Pu C, Ferreira JE. Robust and reliable process-aware information systems [Internet]. IEEE Transactions on Services Computing. 2021 ; 14. n. 3 820-833.[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/TSC.2018.2824810

    • Vancouver

      Schwerz AL, Liberato R, Pu C, Ferreira JE. Robust and reliable process-aware information systems [Internet]. IEEE Transactions on Services Computing. 2021 ; 14. n. 3 820-833.[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/TSC.2018.2824810

  • 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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      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: 15 maio 2024.

    • 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 2024 maio 15 ] 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 2024 maio 15 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096

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