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Artigo de periodico
A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers (2023)
Birgin, Ernesto Julian Goldberg ; Romão, Oberlan Christo ; Ronconi, Débora Pretti
Fonte: Expert Systems with Applications. Unidades: IME, EP
Assuntos: PESQUISA OPERACIONAL, TEORIA DE SISTEMAS E CONTROLE, PROGRAMAÇÃO LINEAR
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ABNT
BIRGIN, Ernesto Julian Goldberg e ROMÃO, Oberlan Christo e RONCONI, Débora Pretti. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, v. 223, p. 26 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.119866. Acesso em: 03 nov. 2024.
APA
Birgin, E. J. G., Romão, O. C., & Ronconi, D. P. (2023). A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, 223, 26 on-line. doi:10.1016/j.eswa.2023.119866
NLM
Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
Vancouver
Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
Artigo de periodico
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors (2023)
Castro, Lucas Daniel Chiba de ; Scabini, Leonardo Felipe dos Santos ; Ribas, Lucas Correia ; Bruno, Odemir Martinez ; Oliveira Junior, Osvaldo Novais de
Fonte: Expert Systems with Applications. Unidade: IFSC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
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CASTRO, Lucas Daniel Chiba de et al. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, v. 212, p. 118792-1-118792-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.118792. Acesso em: 03 nov. 2024.
APA
Castro, L. D. C. de, Scabini, L. F. dos S., Ribas, L. C., Bruno, O. M., & Oliveira Junior, O. N. de. (2023). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, 212, 118792-1-118792-7. doi:10.1016/j.eswa.2022.118792
NLM
Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
Vancouver
Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
Artigo de periodico
Forecasting cryptocurrencies prices using data driven level set fuzzy models (2022)
Maciel, Leandro dos Santos ; Ballini, Rosangela; Gomide, Fernando; Yager, Ronald
Fonte: Expert Systems with Applications. Unidade: FEA
Assuntos: DINHEIRO ELETRÔNICO, MOEDAS, PREVISÃO ECONÔMICA, FINANÇAS
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MACIEL, Leandro dos Santos et al. Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, v. 210, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417422014981. Acesso em: 03 nov. 2024.
APA
Maciel, L. dos S., Ballini, R., Gomide, F., & Yager, R. (2022). Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, 210. doi:10.1016/j.eswa.2022.118387
NLM
Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2024 nov. 03 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
Vancouver
Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2024 nov. 03 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
Artigo de periodico
Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market (2022)
Felizardo, Leonardo Kanashiro ; Brandimarte, Paolo; Del Moral Hernandez, Emilio ; Costa, Anna Helena Reali ; Matsumoto, Elia Yathie; Paiva, Francisco Caio Lima; Graves, Catharine de Vita
Fonte: Expert Systems with Applications. Unidade: EP
Assunto: APRENDIZADO COMPUTACIONAL
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FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 03 nov. 2024.
APA
Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Costa, A. H. R., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 1-13. doi:10.1016/j.eswa.2022.117259
NLM
Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Vancouver
Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Artigo de periodico
Forecasting US dollar exchange rate movement with computational models and human behavior (2022)
Matsumoto, Élia Yathie; Del Moral Hernandez, Emilio ; Yoshinaga, Claudia Emiko; Pinto, Afonso de Campos
Fonte: Expert Systems with Applications. Unidade: EP
Assuntos: TAXA DE CÂMBIO, FINANÇAS, BEHAVIORISMO, APRENDIZADO COMPUTACIONAL
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MATSUMOTO, Élia Yathie et al. Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, v. 194, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116521. Acesso em: 03 nov. 2024.
APA
Matsumoto, É. Y., Del Moral Hernandez, E., Yoshinaga, C. E., & Pinto, A. de C. (2022). Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, 194, 1-14. doi:10.1016/j.eswa.2022.116521
NLM
Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
Vancouver
Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
Artigo de periodico
Stacked authorship attribution of digital texts (2021)
Custódio, José Eleandro; Paraboni, Ivandre
Fonte: Expert Systems with Applications. Unidade: EACH
Assunto: PROCESSAMENTO DE LINGUAGEM NATURAL
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CUSTÓDIO, José Eleandro e PARABONI, Ivandre. Stacked authorship attribution of digital texts. Expert Systems with Applications, v. 176, p. 01-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.114866. Acesso em: 03 nov. 2024.
APA
Custódio, J. E., & Paraboni, I. (2021). Stacked authorship attribution of digital texts. Expert Systems with Applications, 176, 01-13. doi:10.1016/j.eswa.2021.114866
NLM
Custódio JE, Paraboni I. Stacked authorship attribution of digital texts [Internet]. Expert Systems with Applications. 2021 ; 176 01-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
Vancouver
Custódio JE, Paraboni I. Stacked authorship attribution of digital texts [Internet]. Expert Systems with Applications. 2021 ; 176 01-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
Artigo de periodico
DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning (2020)
Glatt, Ruben; Silva, Felipe Leno da ; Bianchi, Reinaldo Augusto da Costa ; Costa, Anna Helena Reali
Fonte: Expert Systems with Applications. Unidade: EP
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 03 nov. 2024.
APA
Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Costa, A. H. R. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420
NLM
Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
Vancouver
Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
Artigo de periodico
Combining novelty and popularity on personalised recommendations via user profile learning (2020)
Bertani, Ricardo Mitollo ; Bianchi, Reinaldo Augusto da Costa ; Reali Costa, Anna Helena
Fonte: Expert Systems with Applications. Unidade: EP
Assunto: ALGORITMOS
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BERTANI, Ricardo Mitollo e BIANCHI, Reinaldo Augusto da Costa e REALI COSTA, Anna Helena. Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, v. 146, p. 113149, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.113149. Acesso em: 03 nov. 2024.
APA
Bertani, R. M., Bianchi, R. A. da C., & Reali Costa, A. H. (2020). Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, 146, 113149. doi:10.1016/j.eswa.2019.113149
NLM
Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
Vancouver
Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
Artigo de periodico
A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem (2020)
Tomazella, Caio Paziani; Nagano, Marcelo Seido
Fonte: Expert Systems with Applications. Unidades: EESC, ICMC
Assuntos: ENGENHARIA DE PRODUÇÃO, PROGRAMAÇÃO DA PRODUÇÃO, ALGORITMOS
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TOMAZELLA, Caio Paziani e NAGANO, Marcelo Seido. A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem. Expert Systems with Applications, v. No 2020, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113556. Acesso em: 03 nov. 2024.
APA
Tomazella, C. P., & Nagano, M. S. (2020). A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem. Expert Systems with Applications, No 2020, 1-19. doi:10.1016/j.eswa.2020.113556
NLM
Tomazella CP, Nagano MS. A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem [Internet]. Expert Systems with Applications. 2020 ; No 2020 1-19.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2020.113556
Vancouver
Tomazella CP, Nagano MS. A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem [Internet]. Expert Systems with Applications. 2020 ; No 2020 1-19.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2020.113556
Artigo de periodico
A variable neighborhood search algorithm for the bin packing problem with compatible categories (2019)
Santos, Luiz Felipe de Oliveira Moura ; Iwayama, Renan Sallai ; Cavalcanti, Luísa Brandão ; Turi, Leandro Maciel ; Morais, Fábio Emanuel de Souza ; Mormilho, Gabriel Pini ; Cunha, Cláudio Barbieri da
Fonte: Expert Systems with Applications. Unidade: EP
Assuntos: VAREJO, LOGÍSTICA, SATISFAÇÃO DO CONSUMIDOR, CONTROLE DE ESTOQUES
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SANTOS, Luiz Felipe de Oliveira Moura et al. A variable neighborhood search algorithm for the bin packing problem with compatible categories. Expert Systems with Applications, v. 124, p. 209-225, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.01.052. Acesso em: 03 nov. 2024.
APA
Santos, L. F. de O. M., Iwayama, R. S., Cavalcanti, L. B., Turi, L. M., Morais, F. E. de S., Mormilho, G. P., & Cunha, C. B. da. (2019). A variable neighborhood search algorithm for the bin packing problem with compatible categories. Expert Systems with Applications, 124, 209-225. doi:10.1016/j.eswa.2019.01.052
NLM
Santos LF de OM, Iwayama RS, Cavalcanti LB, Turi LM, Morais FE de S, Mormilho GP, Cunha CB da. A variable neighborhood search algorithm for the bin packing problem with compatible categories [Internet]. Expert Systems with Applications. 2019 ; 124 209-225.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.01.052
Vancouver
Santos LF de OM, Iwayama RS, Cavalcanti LB, Turi LM, Morais FE de S, Mormilho GP, Cunha CB da. A variable neighborhood search algorithm for the bin packing problem with compatible categories [Internet]. Expert Systems with Applications. 2019 ; 124 209-225.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.01.052
Artigo de periodico
Boosting collaborative filtering with an ensemble of co-trained recommenders (2019)
Costa, Arthur F. da; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES
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COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Systems with Applications, v. 115, n. Ja 2019, p. 427-441, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.08.020. Acesso em: 03 nov. 2024.
APA
Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2019). Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Systems with Applications, 115( Ja 2019), 427-441. doi:10.1016/j.eswa.2018.08.020
NLM
Costa AF da, Manzato MG, Campello RJGB. Boosting collaborative filtering with an ensemble of co-trained recommenders [Internet]. Expert Systems with Applications. 2019 ; 115( Ja 2019): 427-441.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020
Vancouver
Costa AF da, Manzato MG, Campello RJGB. Boosting collaborative filtering with an ensemble of co-trained recommenders [Internet]. Expert Systems with Applications. 2019 ; 115( Ja 2019): 427-441.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020
Artigo de periodico
A Hybrid approach for a multi-compartment container loading problem (2019)
Ranck Júnior, Rodolfo; Yanasse, Horacio Hideki ; Morabito Neto, Reinaldo ; Junqueira, Leonardo
Fonte: Expert Systems with Applications. Unidade: EP
Assuntos: BEBIDAS, LOGÍSTICA, TOMADA DE DECISÃO, CONTÊINERES
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RANCK JÚNIOR, Rodolfo et al. A Hybrid approach for a multi-compartment container loading problem. Expert Systems with Applications, v. 137, p. 471-492, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.020. Acesso em: 03 nov. 2024.
APA
Ranck Júnior, R., Yanasse, H. H., Morabito Neto, R., & Junqueira, L. (2019). A Hybrid approach for a multi-compartment container loading problem. Expert Systems with Applications, 137, 471-492. doi:10.1016/j.eswa.2019.07.020
NLM
Ranck Júnior R, Yanasse HH, Morabito Neto R, Junqueira L. A Hybrid approach for a multi-compartment container loading problem [Internet]. Expert Systems with Applications. 2019 ; 137 471-492.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.020
Vancouver
Ranck Júnior R, Yanasse HH, Morabito Neto R, Junqueira L. A Hybrid approach for a multi-compartment container loading problem [Internet]. Expert Systems with Applications. 2019 ; 137 471-492.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.020
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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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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
Artigo de periodico
On learning guarantees to unsupervised concept drift detection on data streams (2019)
Mello, Rodrigo Fernandes de; Vaz, Yule; Grossi, Carlos Henrique ; Bifet, Albert
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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MELLO, Rodrigo Fernandes de et al. On learning guarantees to unsupervised concept drift detection on data streams. Expert Systems with Applications, v. 117, p. 90-102, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.08.054. Acesso em: 03 nov. 2024.
APA
Mello, R. F. de, Vaz, Y., Grossi, C. H., & Bifet, A. (2019). On learning guarantees to unsupervised concept drift detection on data streams. Expert Systems with Applications, 117, 90-102. doi:10.1016/j.eswa.2018.08.054
NLM
Mello RF de, Vaz Y, Grossi CH, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054
Vancouver
Mello RF de, Vaz Y, Grossi CH, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054
Artigo de periodico
Randomized neural network based signature for dynamic texture classification (2019)
Sá Junior, Jarbas Joaci de Mesquita; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Fonte: Expert Systems with Applications. Unidades: IFSC, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, PROCESSAMENTO DE IMAGENS
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SÁ JUNIOR, Jarbas Joaci de Mesquita e RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Randomized neural network based signature for dynamic texture classification. Expert Systems with Applications, v. No 2019, p. 194-200, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.05.055. Acesso em: 03 nov. 2024.
APA
Sá Junior, J. J. de M., Ribas, L. C., & Bruno, O. M. (2019). Randomized neural network based signature for dynamic texture classification. Expert Systems with Applications, No 2019, 194-200. doi:10.1016/j.eswa.2019.05.055
NLM
Sá Junior JJ de M, Ribas LC, Bruno OM. Randomized neural network based signature for dynamic texture classification [Internet]. Expert Systems with Applications. 2019 ; No 2019 194-200.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.05.055
Vancouver
Sá Junior JJ de M, Ribas LC, Bruno OM. Randomized neural network based signature for dynamic texture classification [Internet]. Expert Systems with Applications. 2019 ; No 2019 194-200.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2019.05.055
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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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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Artigo de periodico
A scheme for high level data classification using random walk and network measures (2018)
Cupertino, Thiago Henrique; Carneiro, Murillo Guimarães; Qiusheng, Zheng; Junbao, Zhang; Liang, Zhao
Fonte: Expert Systems with Applications. Unidade: FFCLRP
Assuntos: APRENDIZADO COMPUTACIONAL, GESTÃO DA INFORMAÇÃO, PASSEIOS ALEATÓRIOS
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ABNT
CUPERTINO, Thiago Henrique et al. A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, v. 92, p. 289-303, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.09.014. Acesso em: 03 nov. 2024.
APA
Cupertino, T. H., Carneiro, M. G., Qiusheng, Z., Junbao, Z., & Liang, Z. (2018). A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, 92, 289-303. doi:10.1016/j.eswa.2017.09.014
NLM
Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
Vancouver
Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
Artigo de periodico
Latent association rule cluster based model to extract topics for classification and recommendation applications (2018)
Santos, Fabiano Fernandes dos; Domingues, Marcos Aurélio; Sundermann, Camila Vaccari; Carvalho, Veronica Oliveira de; Moura, Maria Fernanda; Rezende, Solange Oliveira
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fabiano Fernandes dos et al. Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, v. 112, p. 34-60, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.06.021. Acesso em: 03 nov. 2024.
APA
Santos, F. F. dos, Domingues, M. A., Sundermann, C. V., Carvalho, V. O. de, Moura, M. F., & Rezende, S. O. (2018). Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, 112, 34-60. doi:10.1016/j.eswa.2018.06.021
NLM
Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
Vancouver
Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
Artigo de periodico
A biased random key genetic algorithm for open dimension nesting problems using no-fit raster (2017)
Mundim, Leandro R; Andretta, Marina ; Queiroz, Thiago Alves de
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: ALGORITMOS, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MUNDIM, Leandro R e ANDRETTA, Marina e QUEIROZ, Thiago Alves de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster. Expert Systems with Applications, v. 81, p. 358-371, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.03.059. Acesso em: 03 nov. 2024.
APA
Mundim, L. R., Andretta, M., & Queiroz, T. A. de. (2017). A biased random key genetic algorithm for open dimension nesting problems using no-fit raster. Expert Systems with Applications, 81, 358-371. doi:10.1016/j.eswa.2017.03.059
NLM
Mundim LR, Andretta M, Queiroz TA de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster [Internet]. Expert Systems with Applications. 2017 ; 81 358-371.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2017.03.059
Vancouver
Mundim LR, Andretta M, Queiroz TA de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster [Internet]. Expert Systems with Applications. 2017 ; 81 358-371.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2017.03.059
Artigo de periodico
Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks (2017)
Koch, Ismael É; Veronez, Maurício Roberto ; Silva, Reginaldo M da; Klein, Ivandro; Matsuoka, Marcelo T.; Gonzaga Junior, Luiz ; Larocca, Ana Paula Camargo
Fonte: Expert Systems with Applications. Unidade: EESC
Assuntos: HEURÍSTICA, SISTEMA DE POSICIONAMENTO GLOBAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KOCH, Ismael É et al. Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks. Expert Systems with Applications, v. 88, p. 230-237, 2017Tradução . . Disponível em: http://dx.doi.org/10.1016/j.eswa.2017.07.009. Acesso em: 03 nov. 2024.
APA
Koch, I. É., Veronez, M. R., Silva, R. M. da, Klein, I., Matsuoka, M. T., Gonzaga Junior, L., & Larocca, A. P. C. (2017). Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks. Expert Systems with Applications, 88, 230-237. doi:10.1016/j.eswa.2017.07.009
NLM
Koch IÉ, Veronez MR, Silva RM da, Klein I, Matsuoka MT, Gonzaga Junior L, Larocca APC. Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks [Internet]. Expert Systems with Applications. 2017 ;88 230-237.[citado 2024 nov. 03 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.07.009
Vancouver
Koch IÉ, Veronez MR, Silva RM da, Klein I, Matsuoka MT, Gonzaga Junior L, Larocca APC. Least trimmed squares estimator with redundancy constraint for outlier detection in GNSS networks [Internet]. Expert Systems with Applications. 2017 ;88 230-237.[citado 2024 nov. 03 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.07.009

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