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Artigo de periodico
Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels (2025)
Souza, André Moreira ; Kobayashi, Livia Lissa ; Andrietta, Lucas Tassoni ; Garbossa, Cesar Augusto Pospissil ; Ventura, Ricardo Vieira ; Sousa, Elaine Parros Machado de
Source: Applied Intelligence. Unidades: FMVZ, ICMC
Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, PROCESSAMENTO DE SINAIS ACÚSTICOS, REDES NEURAIS, SUINOCULTURA, BEM-ESTAR DO ANIMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, André Moreira et al. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. Applied Intelligence, v. 55, n. 7, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10489-025-06555-6. Acesso em: 13 nov. 2025.
APA
Souza, A. M., Kobayashi, L. L., Andrietta, L. T., Garbossa, C. A. P., Ventura, R. V., & Sousa, E. P. M. de. (2025). Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. Applied Intelligence, 55( 7), 1-12. doi:10.1007/s10489-025-06555-6
NLM
Souza AM, Kobayashi LL, Andrietta LT, Garbossa CAP, Ventura RV, Sousa EPM de. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels [Internet]. Applied Intelligence. 2025 ; 55( 7): 1-12.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-025-06555-6
Vancouver
Souza AM, Kobayashi LL, Andrietta LT, Garbossa CAP, Ventura RV, Sousa EPM de. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels [Internet]. Applied Intelligence. 2025 ; 55( 7): 1-12.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-025-06555-6
Artigo de periodico
Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification (2023)
Bustios, Paul ; Rosa, João Luís Garcia
Source: Applied Intelligence. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZAGEM PROFUNDA, ELETROENCEFALOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUSTIOS, Paul e ROSA, João Luís Garcia. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification. Applied Intelligence, v. 53, n. 24, p. 30133-30147, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10489-023-05134-x. Acesso em: 13 nov. 2025.
APA
Bustios, P., & Rosa, J. L. G. (2023). Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification. Applied Intelligence, 53( 24), 30133-30147. doi:10.1007/s10489-023-05134-x
NLM
Bustios P, Rosa JLG. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification [Internet]. Applied Intelligence. 2023 ; 53( 24): 30133-30147.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-023-05134-x
Vancouver
Bustios P, Rosa JLG. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification [Internet]. Applied Intelligence. 2023 ; 53( 24): 30133-30147.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-023-05134-x
Artigo de periodico
Robust probabilistic planning with ilao (2016)
Moreira, Daniel Augusto de Melo; Delgado, Karina Valdivia; Barros, Leliane Nunes de
Source: Applied Intelligence. Unidades: EACH, IME
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS DE MARKOV, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA, Daniel Augusto de Melo e DELGADO, Karina Valdivia e BARROS, Leliane Nunes de. Robust probabilistic planning with ilao. Applied Intelligence, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0780-4. Acesso em: 13 nov. 2025.
APA
Moreira, D. A. de M., Delgado, K. V., & Barros, L. N. de. (2016). Robust probabilistic planning with ilao. Applied Intelligence. doi:10.1007/s10489-016-0780-4
NLM
Moreira DA de M, Delgado KV, Barros LN de. Robust probabilistic planning with ilao [Internet]. Applied Intelligence. 2016 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-016-0780-4
Vancouver
Moreira DA de M, Delgado KV, Barros LN de. Robust probabilistic planning with ilao [Internet]. Applied Intelligence. 2016 ;[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-016-0780-4
Artigo de periodico
Learning to program using hierarchical model-based debugging (2015)
Barros, Leliane Nunes de ; Pinheiro, Wellington Ricardo; Delgado, Karina Valdivia
Source: Applied Intelligence. Unidades: IME, EACH
Subjects: DESENVOLVIMENTO DE SOFTWARE, ENGENHARIA DE PROGRAMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Leliane Nunes de e PINHEIRO, Wellington Ricardo e DELGADO, Karina Valdivia. Learning to program using hierarchical model-based debugging. Applied Intelligence, v. 43, n. 3, p. 544-563, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10489-015-0659-9. Acesso em: 13 nov. 2025.
APA
Barros, L. N. de, Pinheiro, W. R., & Delgado, K. V. (2015). Learning to program using hierarchical model-based debugging. Applied Intelligence, 43( 3), 544-563. doi:10.1007/s10489-015-0659-9
NLM
Barros LN de, Pinheiro WR, Delgado KV. Learning to program using hierarchical model-based debugging [Internet]. Applied Intelligence. 2015 ; 43( 3): 544-563.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-015-0659-9
Vancouver
Barros LN de, Pinheiro WR, Delgado KV. Learning to program using hierarchical model-based debugging [Internet]. Applied Intelligence. 2015 ; 43( 3): 544-563.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1007/s10489-015-0659-9
Artigo de periodico
A self-organizing context-based approach to the tracking of multiple robot trajactories (2002)
Araújo, Aluízio Fausto Ribeiro; Barreto, Guilherme de Alencar
Source: Applied Intelligence. Unidade: EESC
Subjects: REDES NEURAIS, CONTROLADORES PROGRAMÁVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Aluízio Fausto Ribeiro e BARRETO, Guilherme de Alencar. A self-organizing context-based approach to the tracking of multiple robot trajactories. Applied Intelligence, v. 17, n. 1, p. 99-116, 2002Tradução . . Disponível em: http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894. Acesso em: 13 nov. 2025.
APA
Araújo, A. F. R., & Barreto, G. de A. (2002). A self-organizing context-based approach to the tracking of multiple robot trajactories. Applied Intelligence, 17( 1), 99-116. Recuperado de http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894
NLM
Araújo AFR, Barreto G de A. A self-organizing context-based approach to the tracking of multiple robot trajactories [Internet]. Applied Intelligence. 2002 ; 17( 1): 99-116.[citado 2025 nov. 13 ] Available from: http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894
Vancouver
Araújo AFR, Barreto G de A. A self-organizing context-based approach to the tracking of multiple robot trajactories [Internet]. Applied Intelligence. 2002 ; 17( 1): 99-116.[citado 2025 nov. 13 ] Available from: http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894

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