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Artigo de periodico
Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features (2023)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS
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HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, v. 134, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109969. Acesso em: 08 jul. 2024.
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2023). Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, 134, 1-17. doi:10.1016/j.asoc.2022.109969
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
Artigo de periodico
Learning graph representation with randomized neural network for dynamic texture classification (2022)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Manzanera, Antoine ; Bruno, Odemir Martinez
Source: Applied Soft Computing. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS
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RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 08 jul. 2024.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
NLM
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Vancouver
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Artigo de periodico
Evolving interpretable strategies for zero-sum games (2022)
Mariño, Julian Ricardo Hernandez ; Toledo, Claudio Fabiano Motta
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO GENÉTICA, JOGOS DE COMPUTADOR
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MARIÑO, Julian Ricardo Hernandez e TOLEDO, Claudio Fabiano Motta. Evolving interpretable strategies for zero-sum games. Applied Soft Computing, v. 122, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108860. Acesso em: 08 jul. 2024.
APA
Mariño, J. R. H., & Toledo, C. F. M. (2022). Evolving interpretable strategies for zero-sum games. Applied Soft Computing, 122, 1-11. doi:10.1016/j.asoc.2022.108860
NLM
Mariño JRH, Toledo CFM. Evolving interpretable strategies for zero-sum games [Internet]. Applied Soft Computing. 2022 ; 122 1-11.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.108860
Vancouver
Mariño JRH, Toledo CFM. Evolving interpretable strategies for zero-sum games [Internet]. Applied Soft Computing. 2022 ; 122 1-11.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.108860
Artigo de periodico
Regularization-free multicriteria optimization of polymer viscoelasticity model (2022)
Monaco, Francisco José ; Denysiuk, Roman ; Delbem, Alexandre Cláudio Botazzo ; Gaspar-Cunha, António
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, COMPUTAÇÃO EVOLUTIVA, REOLOGIA, GEOMETRIA E MODELAGEM COMPUTACIONAL
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MONACO, Francisco José et al. Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, v. 124, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109040. Acesso em: 08 jul. 2024.
APA
Monaco, F. J., Denysiuk, R., Delbem, A. C. B., & Gaspar-Cunha, A. (2022). Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, 124, 1-18. doi:10.1016/j.asoc.2022.109040
NLM
Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
Vancouver
Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
Artigo de periodico
Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics (2022)
Viana, Breno Mauricio de Freitas ; Pereira, Leonardo Tortoro ; Toledo, Claudio Fabiano Motta ; Santos, Selan Rodrigues dos ; Maia, Sílvia Maria Diniz Monteiro
Source: Applied Soft Computing. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, OTIMIZAÇÃO RESTRITA, ALGORITMOS GENÉTICOS
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VIANA, Breno Mauricio de Freitas et al. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, v. 119, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.108586. Acesso em: 08 jul. 2024.
APA
Viana, B. M. de F., Pereira, L. T., Toledo, C. F. M., Santos, S. R. dos, & Maia, S. M. D. M. (2022). Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics. Applied Soft Computing, 119, 1-16. doi:10.1016/j.asoc.2022.108586
NLM
Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
Vancouver
Viana BM de F, Pereira LT, Toledo CFM, Santos SR dos, Maia SMDM. Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics [Internet]. Applied Soft Computing. 2022 ; 119 1-16.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2022.108586
Artigo de periodico
Order book mid-price movement inference by CatBoost classifier from convolutional feature maps (2022)
Bileki, Guilherme Augusto ; Barboza, Flavio Luiz de Moraes ; Silva, Luis Henrique Claudino ; Bonato, Vanderlei
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BOLSA DE VALORES, PREÇO DE AÇÕES
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BILEKI, Guilherme Augusto et al. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, v. 116, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108274. Acesso em: 08 jul. 2024.
APA
Bileki, G. A., Barboza, F. L. de M., Silva, L. H. C., & Bonato, V. (2022). Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, 116, 1-13. doi:10.1016/j.asoc.2021.108274
NLM
Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
Vancouver
Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
Artigo de periodico
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series (2021)
Ferreira, Marcos Vinícius dos Santos; Rios, Ricardo Araújo ; Mello, Rodrigo Fernandes de ; Rios, Tatiane Nogueira
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
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FERREIRA, Marcos Vinícius dos Santos et al. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, v. 113, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108011. Acesso em: 08 jul. 2024.
APA
Ferreira, M. V. dos S., Rios, R. A., Mello, R. F. de, & Rios, T. N. (2021). Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, 113, 1-13. doi:10.1016/j.asoc.2021.108011
NLM
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
Vancouver
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
Artigo de periodico
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function (2021)
Watanabe, Thomio ; Wolf, Denis Fernando
Source: Applied Soft Computing. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS
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WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 08 jul. 2024.
APA
Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
NLM
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Vancouver
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Artigo de periodico
Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections (2019)
Ponti, Moacir Antonelli ; Costa, Gabriel B. Paranhos da; Santos, Fernando Pereira dos ; Silveira, Kaue U
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ALGORITMOS PARA IMAGENS
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PONTI, Moacir Antonelli et al. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, v. 80, p. 414-424, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.04.013. Acesso em: 08 jul. 2024.
APA
Ponti, M. A., Costa, G. B. P. da, Santos, F. P. dos, & Silveira, K. U. (2019). Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, 80, 414-424. doi:10.1016/j.asoc.2019.04.013
NLM
Ponti MA, Costa GBP da, Santos FP dos, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
Vancouver
Ponti MA, Costa GBP da, Santos FP dos, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
Artigo de periodico
Inducing hierarchical multi-label classification rules with genetic algorithms (2019)
Cerri, Ricardo; Basgalupp, Márcio P; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
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ABNT
CERRI, Ricardo et al. Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, v. 77, p. 584-604, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.01.017. Acesso em: 08 jul. 2024.
APA
Cerri, R., Basgalupp, M. P., Barros, R. C., & Carvalho, A. C. P. de L. F. de. (2019). Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, 77, 584-604. doi:10.1016/j.asoc.2019.01.017
NLM
Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
Vancouver
Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
Artigo de periodico
Experimental correlation analysis of bicluster coherence measures and gene ontology information (2019)
Padilha, Victor Alexandre ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GENÉTICOS, EXPRESSÃO GÊNICA
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PADILHA, Victor Alexandre e CARVALHO, André Carlos Ponce de Leon Ferreira de. Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, v. 85, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105688. Acesso em: 08 jul. 2024.
APA
Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2019). Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, 85, 1-11. doi:10.1016/j.asoc.2019.105688
NLM
Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Vancouver
Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Artigo de periodico
Characterization of runtime resource usage from analysis of binary executable programs (2018)
Pinto, Renê de Souza; Delbem, Alexandre Cláudio Botazzo ; Monaco, Francisco José
Source: Applied Soft Computing. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, AVALIAÇÃO DE DESEMPENHO, GEOMETRIA E MODELAGEM COMPUTACIONAL
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PINTO, Renê de Souza e DELBEM, Alexandre Cláudio Botazzo e MONACO, Francisco José. Characterization of runtime resource usage from analysis of binary executable programs. Applied Soft Computing, v. 71, p. 1133-1152, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2017.12.040. Acesso em: 08 jul. 2024.
APA
Pinto, R. de S., Delbem, A. C. B., & Monaco, F. J. (2018). Characterization of runtime resource usage from analysis of binary executable programs. Applied Soft Computing, 71, 1133-1152. doi:10.1016/j.asoc.2017.12.040
NLM
Pinto R de S, Delbem ACB, Monaco FJ. Characterization of runtime resource usage from analysis of binary executable programs [Internet]. Applied Soft Computing. 2018 ; 71 1133-1152.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
Vancouver
Pinto R de S, Delbem ACB, Monaco FJ. Characterization of runtime resource usage from analysis of binary executable programs [Internet]. Applied Soft Computing. 2018 ; 71 1133-1152.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2017.12.040
Artigo de periodico
Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion (2016)
Rosa, L. S; Delbem, Alexandre Cláudio Botazzo ; Toledo, Claudio Fabiano Motta ; Bonato, Vanderlei
Source: Applied Soft Computing. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ROSA, L. S et al. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, v. 49, p. 447-461, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2016.08.035. Acesso em: 08 jul. 2024.
APA
Rosa, L. S., Delbem, A. C. B., Toledo, C. F. M., & Bonato, V. (2016). Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion. Applied Soft Computing, 49, 447-461. doi:10.1016/j.asoc.2016.08.035
NLM
Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
Vancouver
Rosa LS, Delbem ACB, Toledo CFM, Bonato V. Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion [Internet]. Applied Soft Computing. 2016 ; 49 447-461.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2016.08.035
Artigo de periodico
An approach based on hybrid genetic algorithm applied to image denoising problem (2016)
Paiva, Jonatas Lopes de; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Applied Soft Computing. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
PAIVA, Jonatas Lopes de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, v. 46, p. 778-791, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.09.013. Acesso em: 08 jul. 2024.
APA
Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. doi:10.1016/j.asoc.2015.09.013
NLM
Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
Vancouver
Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
Artigo de periodico
Differential evolution using ancestor tree for service restoration in power distribution systems (2014)
Prado, Ricardo Sérgio; Silva, Rodrigo César Pedrosa; Mangela Neto, Oriane; Guimarães, Frederico Guadelha; Sanches, Danilo Sipoli; London Junior, João Bosco Augusto; Delbem, Alexandre Cláudio Botazzo
Source: Applied Soft Computing. Unidades: EESC, ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS, MÉTODO DE MONTE CARLO
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PRADO, Ricardo Sérgio et al. Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing, v. 23, p. 498-508, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2014.06.005. Acesso em: 08 jul. 2024.
APA
Prado, R. S., Silva, R. C. P., Mangela Neto, O., Guimarães, F. G., Sanches, D. S., London Junior, J. B. A., & Delbem, A. C. B. (2014). Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing, 23, 498-508. doi:10.1016/j.asoc.2014.06.005
NLM
Prado RS, Silva RCP, Mangela Neto O, Guimarães FG, Sanches DS, London Junior JBA, Delbem ACB. Differential evolution using ancestor tree for service restoration in power distribution systems [Internet]. Applied Soft Computing. 2014 ; 23 498-508.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2014.06.005
Vancouver
Prado RS, Silva RCP, Mangela Neto O, Guimarães FG, Sanches DS, London Junior JBA, Delbem ACB. Differential evolution using ancestor tree for service restoration in power distribution systems [Internet]. Applied Soft Computing. 2014 ; 23 498-508.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2014.06.005
Artigo de periodico
Glass container production scheduling through hybrid multi-population based evolutionary algorithm (2013)
Toledo, Claudio Fabiano Motta ; Arantes, Márcio da Silva; Oliveira, Renato Resende Ribeiro de; Almada-Lobo, Bernardo
Source: Applied Soft Computing. Unidade: ICMC
Assunto: OTIMIZAÇÃO
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ABNT
TOLEDO, Claudio Fabiano Motta et al. Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, v. 13, n. 3, p. 1352\20131364, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2012.03.074. Acesso em: 08 jul. 2024.
APA
Toledo, C. F. M., Arantes, M. da S., Oliveira, R. R. R. de, & Almada-Lobo, B. (2013). Glass container production scheduling through hybrid multi-population based evolutionary algorithm. Applied Soft Computing, 13( 3), 1352\20131364. doi:10.1016/j.asoc.2012.03.074
NLM
Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
Vancouver
Toledo CFM, Arantes M da S, Oliveira RRR de, Almada-Lobo B. Glass container production scheduling through hybrid multi-population based evolutionary algorithm [Internet]. Applied Soft Computing. 2013 ; 13( 3): 1352\20131364.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2012.03.074
Artigo de periodico
Efficiency issues of evolutionary k-means (2011)
Naldi, Murilo Coelho; Campello, Ricardo José Gabrielli Barreto; Hruschka, Eduardo Raul ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
NALDI, Murilo Coelho et al. Efficiency issues of evolutionary k-means. Applied Soft Computing, v. 11, n. 2, p. 1938-1952, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2010.06.010. Acesso em: 08 jul. 2024.
APA
Naldi, M. C., Campello, R. J. G. B., Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (2011). Efficiency issues of evolutionary k-means. Applied Soft Computing, 11( 2), 1938-1952. doi:10.1016/j.asoc.2010.06.010
NLM
Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF de. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010
Vancouver
Naldi MC, Campello RJGB, Hruschka ER, Carvalho ACP de LF de. Efficiency issues of evolutionary k-means [Internet]. Applied Soft Computing. 2011 ; 11( 2): 1938-1952.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1016/j.asoc.2010.06.010

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