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Artigo de periodico
Exploiting personalized calibration and metrics for fairness recommendation (2021)
Silva, Diego Corrêa da; Manzato, Marcelo Garcia ; Durão, Frederico Araujo
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, MULTIMÍDIA INTERATIVA
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ABNT
SILVA, Diego Corrêa da e MANZATO, Marcelo Garcia e DURÃO, Frederico Araujo. Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, v. No 2021, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115112. Acesso em: 11 nov. 2024.
APA
Silva, D. C. da, Manzato, M. G., & Durão, F. A. (2021). Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, No 2021, 1-20. doi:10.1016/j.eswa.2021.115112
NLM
Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
Vancouver
Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
Artigo de periodico
Coarse-refinement dilemma: on generalization bounds for data clustering (2021)
Vaz, Yule; Mello, Rodrigo Fernandes de ; Grossi, Carlos Henrique
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, HOMOLOGIA, ESPAÇOS TOPOLÓGICOS
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ABNT
VAZ, Yule e MELLO, Rodrigo Fernandes de e GROSSI, Carlos Henrique. Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, v. 184, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115399. Acesso em: 11 nov. 2024.
APA
Vaz, Y., Mello, R. F. de, & Grossi, C. H. (2021). Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, 184, 1-28. doi:10.1016/j.eswa.2021.115399
NLM
Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
Vancouver
Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
Artigo de periodico
Automatic recommendation of feature selection algorithms based on dataset characteristics (2021)
Parmezan, Antonio Rafael Sabino ; Lee, Huei Diana ; Spolaôr, Newton ; Wu, Feng Chung
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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PARMEZAN, Antonio Rafael Sabino et al. Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, v. 185, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115589. Acesso em: 11 nov. 2024.
APA
Parmezan, A. R. S., Lee, H. D., Spolaôr, N., & Wu, F. C. (2021). Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, 185, 1-30. doi:10.1016/j.eswa.2021.115589
NLM
Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
Vancouver
Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
Artigo de periodico
Towards automatically filtering fake news in Portuguese (2020)
Silva, Renato M; Santos, Roney Lira de Sales ; Almeida, Tiago A; Pardo, Thiago Alexandre Salgueiro
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, CORPUS, PORTUGUÊS DO BRASIL, NOTÍCIA
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ABNT
SILVA, Renato M et al. Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, v. 146, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113199. Acesso em: 11 nov. 2024.
APA
Silva, R. M., Santos, R. L. de S., Almeida, T. A., & Pardo, T. A. S. (2020). Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, 146, 1-14. doi:10.1016/j.eswa.2020.113199
NLM
Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199
Vancouver
Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199
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
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES
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ABNT
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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020
Artigo de periodico
Measuring the shattering coefficient of decision tree models (2019)
Mello, Rodrigo Fernandes de ; Manapragada, Chaitanya; Bifet, Albert
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MATEMÁTICA DA COMPUTAÇÃO
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ABNT
MELLO, Rodrigo Fernandes de e MANAPRAGADA, Chaitanya e BIFET, Albert. Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, v. 137, p. 443-452, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.012. Acesso em: 11 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. 11 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
Vancouver
Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2024 nov. 11 ] 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
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054
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
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
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ABNT
FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 11 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. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Vancouver
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
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
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
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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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
Artigo de periodico
Multidimensional surrogate stability to detect data stream concept drift (2017)
Costa, Fausto G. da; Duarte, Felipe S. L. G; Vallim, Rosane M. M; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
COSTA, Fausto G. da et al. Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, v. No 2017, p. 15-29, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.06.005. Acesso em: 11 nov. 2024.
APA
Costa, F. G. da, Duarte, F. S. L. G., Vallim, R. M. M., & Mello, R. F. de. (2017). Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, No 2017, 15-29. doi:10.1016/j.eswa.2017.06.005
NLM
Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005
Vancouver
Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005
Artigo de periodico
Applying a kernel function on time-dependent data to provide supervised-learning guarantees (2017)
Pagliosa, Lucas de Carvalho; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
PAGLIOSA, Lucas de Carvalho e MELLO, Rodrigo Fernandes de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, v. 71, p. 216-229, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.11.028. Acesso em: 11 nov. 2024.
APA
Pagliosa, L. de C., & Mello, R. F. de. (2017). Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, 71, 216-229. doi:10.1016/j.eswa.2016.11.028
NLM
Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028
Vancouver
Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028
Artigo de periodico
Opinion summarization methods: comparing and extending extractive and abstractive approaches (2017)
Condori, Roque Enrique López; Pardo, Thiago Alexandre Salgueiro
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RESUMOS
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ABNT
CONDORI, Roque Enrique López e PARDO, Thiago Alexandre Salgueiro. Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, v. 78, p. 124-134, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.02.006. Acesso em: 11 nov. 2024.
APA
Condori, R. E. L., & Pardo, T. A. S. (2017). Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, 78, 124-134. doi:10.1016/j.eswa.2017.02.006
NLM
Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006
Vancouver
Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006
Artigo de periodico
An evolutionary algorithm for clustering data streams with a variable number of clusters (2017)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul ; Gama, João
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS
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ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul e GAMA, João. An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, v. 67, n. Ja 2017, p. 228-238, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.09.020. Acesso em: 11 nov. 2024.
APA
Silva, J. de A., Hruschka, E. R., & Gama, J. (2017). An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, 67( Ja 2017), 228-238. doi:10.1016/j.eswa.2016.09.020
NLM
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Vancouver
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Artigo de periodico
Deep learning for biological image classification (2017)
Affonso, Carlos; Rossi, André Luis Debiaso; Vieira, Fábio Henrique Antunes; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM
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ABNT
AFFONSO, Carlos et al. Deep learning for biological image classification. Expert Systems with Applications, v. No 2017, p. 114-122, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.05.039. Acesso em: 11 nov. 2024.
APA
Affonso, C., Rossi, A. L. D., Vieira, F. H. A., & Carvalho, A. C. P. de L. F. de. (2017). Deep learning for biological image classification. Expert Systems with Applications, No 2017, 114-122. doi:10.1016/j.eswa.2017.05.039
NLM
Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039
Vancouver
Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039
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
Source: Expert Systems with Applications. Unidade: EESC
Subjects: HEURÍSTICA, SISTEMA DE POSICIONAMENTO GLOBAL
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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: 11 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. 11 ] 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. 11 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.07.009
Artigo de periodico
Using dynamical systems tools to detect concept drift in data streams (2016)
Costa, F. G. da; Rios, R. A; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, F. G. da e RIOS, R. A e MELLO, Rodrigo Fernandes de. Using dynamical systems tools to detect concept drift in data streams. Expert Systems with Applications, v. 60, p. 39-50, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.04.026. Acesso em: 11 nov. 2024.
APA
Costa, F. G. da, Rios, R. A., & Mello, R. F. de. (2016). Using dynamical systems tools to detect concept drift in data streams. Expert Systems with Applications, 60, 39-50. doi:10.1016/j.eswa.2016.04.026
NLM
Costa FG da, Rios RA, Mello RF de. Using dynamical systems tools to detect concept drift in data streams [Internet]. Expert Systems with Applications. 2016 ; 60 39-50.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.026
Vancouver
Costa FG da, Rios RA, Mello RF de. Using dynamical systems tools to detect concept drift in data streams [Internet]. Expert Systems with Applications. 2016 ; 60 39-50.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.026
Artigo de periodico
Privileged contextual information for context-aware recommender systems (2016)
Sundermann, Camila Vaccari; Domingues, Marcos Aurélio; Conrado, Merley da Silva; Rezende, Solange Oliveira
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
SUNDERMANN, Camila Vaccari et al. Privileged contextual information for context-aware recommender systems. Expert Systems with Applications, v. 57, p. Se 2016, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.03.036. Acesso em: 11 nov. 2024.
APA
Sundermann, C. V., Domingues, M. A., Conrado, M. da S., & Rezende, S. O. (2016). Privileged contextual information for context-aware recommender systems. Expert Systems with Applications, 57, Se 2016. doi:10.1016/j.eswa.2016.03.036
NLM
Sundermann CV, Domingues MA, Conrado M da S, Rezende SO. Privileged contextual information for context-aware recommender systems [Internet]. Expert Systems with Applications. 2016 ; 57 Se 2016.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.036
Vancouver
Sundermann CV, Domingues MA, Conrado M da S, Rezende SO. Privileged contextual information for context-aware recommender systems [Internet]. Expert Systems with Applications. 2016 ; 57 Se 2016.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2016.03.036
Artigo de periodico
Persistent homology for time series and spatial data clustering (2015)
Pereira, Cássio M. M; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Cássio M. M e MELLO, Rodrigo Fernandes de. Persistent homology for time series and spatial data clustering. Expert Systems with Applications, v. 42, n. 15-16, p. 6026-6038, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2015.04.010. Acesso em: 11 nov. 2024.
APA
Pereira, C. M. M., & Mello, R. F. de. (2015). Persistent homology for time series and spatial data clustering. Expert Systems with Applications, 42( 15-16), 6026-6038. doi:10.1016/j.eswa.2015.04.010
NLM
Pereira CMM, Mello RF de. Persistent homology for time series and spatial data clustering [Internet]. Expert Systems with Applications. 2015 ; 42( 15-16): 6026-6038.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2015.04.010
Vancouver
Pereira CMM, Mello RF de. Persistent homology for time series and spatial data clustering [Internet]. Expert Systems with Applications. 2015 ; 42( 15-16): 6026-6038.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2015.04.010
Artigo de periodico
Metaheuristics for large-scale instances of the linear ordering problem (2015)
Sakuraba, Celso Satoshi; Ronconi, Débora Pretti ; Birgin, Ernesto Julian Goldberg ; Yagiura, Mutsunori
Source: Expert Systems with Applications. Unidades: EP, IME
Subjects: HEURÍSTICA, OTIMIZAÇÃO COMBINATÓRIA, COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAKURABA, Celso Satoshi et al. Metaheuristics for large-scale instances of the linear ordering problem. Expert Systems with Applications, v. 42, n. 9, p. 4432-4442, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2015.01.053. Acesso em: 11 nov. 2024.
APA
Sakuraba, C. S., Ronconi, D. P., Birgin, E. J. G., & Yagiura, M. (2015). Metaheuristics for large-scale instances of the linear ordering problem. Expert Systems with Applications, 42( 9), 4432-4442. doi:10.1016/j.eswa.2015.01.053
NLM
Sakuraba CS, Ronconi DP, Birgin EJG, Yagiura M. Metaheuristics for large-scale instances of the linear ordering problem [Internet]. Expert Systems with Applications. 2015 ; 42( 9): 4432-4442.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2015.01.053
Vancouver
Sakuraba CS, Ronconi DP, Birgin EJG, Yagiura M. Metaheuristics for large-scale instances of the linear ordering problem [Internet]. Expert Systems with Applications. 2015 ; 42( 9): 4432-4442.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2015.01.053
Artigo de periodico
An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times (2014)
Nagano, Marcelo Seido; Silva, Augusto Almeida da; Lorena, Luiz Antonio Nogueira
Source: Expert Systems with Applications. Unidade: EESC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS E ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAGANO, Marcelo Seido e SILVA, Augusto Almeida da e LORENA, Luiz Antonio Nogueira. An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times. Expert Systems with Applications, v. 41, p. 3628-3633, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2013.12.013. Acesso em: 11 nov. 2024.
APA
Nagano, M. S., Silva, A. A. da, & Lorena, L. A. N. (2014). An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times. Expert Systems with Applications, 41, 3628-3633. doi:10.1016/j.eswa.2013.12.013
NLM
Nagano MS, Silva AA da, Lorena LAN. An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times [Internet]. Expert Systems with Applications. 2014 ; 41 3628-3633.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2013.12.013
Vancouver
Nagano MS, Silva AA da, Lorena LAN. An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times [Internet]. Expert Systems with Applications. 2014 ; 41 3628-3633.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.eswa.2013.12.013

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