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Artigo de periodico
Color-texture classification based on spatio-spectral complex network representations (2024)
Ribas, Lucas Correia ; Scabini, Leonardo Felipe dos Santos ; Condori, Rayner Harold Montes ; Bruno, Odemir Martinez
Source: Physica A. Unidades: IFSC, ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, TEXTURA
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ABNT
RIBAS, Lucas Correia et al. Color-texture classification based on spatio-spectral complex network representations. Physica A, v. 635, p. 129518-1-129518-15, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129518. Acesso em: 17 jul. 2024.
APA
Ribas, L. C., Scabini, L. F. dos S., Condori, R. H. M., & Bruno, O. M. (2024). Color-texture classification based on spatio-spectral complex network representations. Physica A, 635, 129518-1-129518-15. doi:10.1016/j.physa.2024.129518
NLM
Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
Vancouver
Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
Artigo de periodico
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets (2024)
Spolaôr, Newton ; Lee, Huei Diana ; Mendes, Ana Isabel; Nogueira, Conceição Veloso; Parmezan, Antonio Rafael Sabino ; Takaki, Weber Shoity Resende ; Coy, Claudio Saddy Rodrigues ; Wu, Feng Chung; Fonseca-Pinto, Rui
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, NEOPLASIAS CUTÂNEAS
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ABNT
SPOLAÔR, Newton et al. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, v. 83, n. 9, p. 27305-27329, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16529-w. Acesso em: 17 jul. 2024.
APA
Spolaôr, N., Lee, H. D., Mendes, A. I., Nogueira, C. V., Parmezan, A. R. S., Takaki, W. S. R., et al. (2024). Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, 83( 9), 27305-27329. doi:10.1007/s11042-023-16529-w
NLM
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s11042-023-16529-w
Vancouver
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s11042-023-16529-w
Artigo de periodico
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning (2024)
Borzooei, Sina ; Scabini, Leonardo ; Miranda, Gisele Helena Barboni ; Daneshgar, Saba ; Deblieck, Lukas; Bruno, Odemir Martinez ; Langhe, Piet De; Baets, Bernard De ; Nopens, Ingmar; Torfs, Elena
Source: Journal of Water Process Engineering. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, REDES NEURAIS, TRATAMENTO DE ÁGUA
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ABNT
BORZOOEI, Sina et al. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning. Journal of Water Process Engineering, v. 64, p. 105692-1-105692-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jwpe.2024.105692. Acesso em: 17 jul. 2024.
APA
Borzooei, S., Scabini, L., Miranda, G. H. B., Daneshgar, S., Deblieck, L., Bruno, O. M., et al. (2024). Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning. Journal of Water Process Engineering, 64, 105692-1-105692-13. doi:10.1016/j.jwpe.2024.105692
NLM
Borzooei S, Scabini L, Miranda GHB, Daneshgar S, Deblieck L, Bruno OM, Langhe PD, Baets BD, Nopens I, Torfs E. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning [Internet]. Journal of Water Process Engineering. 2024 ; 64 105692-1-105692-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jwpe.2024.105692
Vancouver
Borzooei S, Scabini L, Miranda GHB, Daneshgar S, Deblieck L, Bruno OM, Langhe PD, Baets BD, Nopens I, Torfs E. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning [Internet]. Journal of Water Process Engineering. 2024 ; 64 105692-1-105692-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jwpe.2024.105692
Artigo de periodico
Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks (2024)
Monson, Paulo Monteiro de Carvalho; Conceição Junior, Pedro de Oliveira; Dotto, Fabio Romano Lofrano; Aguiar, Paulo Roberto de; Rodrigues, Alessandro Roger ; David, Gabriel Augusto
Source: Materials Letters. Unidade: EESC
Subjects: REDES NEURAIS, MATERIAIS COMPÓSITOS, FADIGA DOS MATERIAIS, APRENDIZAGEM PROFUNDA, ENGENHARIA MECÂNICA
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ABNT
MONSON, Paulo Monteiro de Carvalho et al. Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks. Materials Letters, v. 369, p. 1-4, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.matlet.2024.136734. Acesso em: 17 jul. 2024.
APA
Monson, P. M. de C., Conceição Junior, P. de O., Dotto, F. R. L., Aguiar, P. R. de, Rodrigues, A. R., & David, G. A. (2024). Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks. Materials Letters, 369, 1-4. doi:10.1016/j.matlet.2024.136734
NLM
Monson PM de C, Conceição Junior P de O, Dotto FRL, Aguiar PR de, Rodrigues AR, David GA. Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks [Internet]. Materials Letters. 2024 ; 369 1-4.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1016/j.matlet.2024.136734
Vancouver
Monson PM de C, Conceição Junior P de O, Dotto FRL, Aguiar PR de, Rodrigues AR, David GA. Structural damage classification in composite materials using the Wigner-Ville distribution and convolutional neural networks [Internet]. Materials Letters. 2024 ; 369 1-4.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1016/j.matlet.2024.136734
Artigo de periodico
A network classification method based on density time evolution patterns extracted from network automata (2024)
Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Machicao, Jeaneth ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidades: IFSC, EP
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
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ABNT
ZIELINSKI, Kallil Miguel Caparroz et al. A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, v. 146, p. 109802-1-109802-13 + supplementary materials, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109946. Acesso em: 17 jul. 2024.
APA
Zielinski, K. M. C., Ribas, L. C., Machicao, J., & Bruno, O. M. (2024). A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, 146, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109946
NLM
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Vancouver
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Artigo de periodico
Detection of visual pursuits using 1D convolutional neural networks (2024)
Carneiro, Alex Torquato Souza ; Coutinho, Flavio Luiz; Morimoto, Carlos Hitoshi
Source: Pattern Recognition Letters. Unidades: EACH, IME
Assunto: REDES NEURAIS
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ABNT
CARNEIRO, Alex Torquato Souza e COUTINHO, Flavio Luiz e MORIMOTO, Carlos Hitoshi. Detection of visual pursuits using 1D convolutional neural networks. Pattern Recognition Letters, n. Ja 2024, p. 01-13, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.patrec.2024.01.020. Acesso em: 17 jul. 2024.
APA
Carneiro, A. T. S., Coutinho, F. L., & Morimoto, C. H. (2024). Detection of visual pursuits using 1D convolutional neural networks. Pattern Recognition Letters, ( Ja 2024), 01-13. doi:10.1016/j.patrec.2024.01.020
NLM
Carneiro ATS, Coutinho FL, Morimoto CH. Detection of visual pursuits using 1D convolutional neural networks [Internet]. Pattern Recognition Letters. 2024 ;( Ja 2024): 01-13.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1016/j.patrec.2024.01.020
Vancouver
Carneiro ATS, Coutinho FL, Morimoto CH. Detection of visual pursuits using 1D convolutional neural networks [Internet]. Pattern Recognition Letters. 2024 ;( Ja 2024): 01-13.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1016/j.patrec.2024.01.020
Artigo de periodico
A multilevel pooling scheme in convolutional neural networks for texture image recognition (2024)
Lyra, Lucas O.; Fabris, Antonio Elias ; Florindo, Joao B.
Source: Applied Soft Computing. Unidade: IME
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM
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ABNT
LYRA, Lucas O. e FABRIS, Antonio Elias e FLORINDO, Joao B. A multilevel pooling scheme in convolutional neural networks for texture image recognition. Applied Soft Computing, v. 152, n. artigo 111282, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2024.111282. Acesso em: 17 jul. 2024.
APA
Lyra, L. O., Fabris, A. E., & Florindo, J. B. (2024). A multilevel pooling scheme in convolutional neural networks for texture image recognition. Applied Soft Computing, 152( artigo 111282), 1-14. doi:10.1016/j.asoc.2024.111282
NLM
Lyra LO, Fabris AE, Florindo JB. A multilevel pooling scheme in convolutional neural networks for texture image recognition [Internet]. Applied Soft Computing. 2024 ; 152( artigo 111282): 1-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2024.111282
Vancouver
Lyra LO, Fabris AE, Florindo JB. A multilevel pooling scheme in convolutional neural networks for texture image recognition [Internet]. Applied Soft Computing. 2024 ; 152( artigo 111282): 1-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2024.111282
Artigo de periodico
Learning a complex network representation for shape classification (2024)
Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA, RECONHECIMENTO DE PADRÕES
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ABNT
RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Learning a complex network representation for shape classification. Pattern Recognition, v. 154, p. 110566-1-110566-10 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110566. Acesso em: 17 jul. 2024.
APA
Ribas, L. C., & Bruno, O. M. (2024). Learning a complex network representation for shape classification. Pattern Recognition, 154, 110566-1-110566-10 + supplementary data. doi:10.1016/j.patcog.2024.110566
NLM
Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
Vancouver
Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
Artigo de periodico
Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach (2023)
Pinochet, Luis Hernan Contreras ; Bastos, Debora Cristina Marcoli ; Pardim, Vanessa Itacaramby ; Sun, Violeta ; Santos, Marcos dos
Source: Procedia Computer Science. Unidades: EACH, FEA
Assunto: REDES NEURAIS
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ABNT
PINOCHET, Luis Hernan Contreras et al. Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach. Procedia Computer Science, v. 221, p. 733-740, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.procs.2023.08.045. Acesso em: 17 jul. 2024.
APA
Pinochet, L. H. C., Bastos, D. C. M., Pardim, V. I., Sun, V., & Santos, M. dos. (2023). Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach. Procedia Computer Science, 221, 733-740. doi:10.1016/j.procs.2023.08.045
NLM
Pinochet LHC, Bastos DCM, Pardim VI, Sun V, Santos M dos. Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach [Internet]. Procedia Computer Science. 2023 ; 221 733-740.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1016/j.procs.2023.08.045
Vancouver
Pinochet LHC, Bastos DCM, Pardim VI, Sun V, Santos M dos. Predicting the intention to use the investment aggregate functionality in the context of open banking using the artificial neural network approach [Internet]. Procedia Computer Science. 2023 ; 221 733-740.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1016/j.procs.2023.08.045
Artigo de periodico
Multiset neurons (2023)
Costa, Luciano da Fontoura
Source: Physica A. Unidade: IFSC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
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ABNT
COSTA, Luciano da Fontoura. Multiset neurons. Physica A, v. 609, n. Ja 2023, p. 128318-1-128318-34, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2022.128318. Acesso em: 17 jul. 2024.
APA
Costa, L. da F. (2023). Multiset neurons. Physica A, 609( Ja 2023), 128318-1-128318-34. doi:10.1016/j.physa.2022.128318
NLM
Costa L da F. Multiset neurons [Internet]. Physica A. 2023 ; 609( Ja 2023): 128318-1-128318-34.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.physa.2022.128318
Vancouver
Costa L da F. Multiset neurons [Internet]. Physica A. 2023 ; 609( Ja 2023): 128318-1-128318-34.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.physa.2022.128318
Artigo de periodico
RADAM: texture recognition through randomized aggregated encoding of deep activation maps (2023)
Scabini, Leonardo Felipe dos Santos ; Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Gonçalves, Wesley Nunes ; Baets, Bernard De ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
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ABNT
SCABINI, Leonardo Felipe dos Santos et al. RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, v. No 2023, p. 109802-1-109802-13 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109802. Acesso em: 17 jul. 2024.
APA
Scabini, L. F. dos S., Zielinski, K. M. C., Ribas, L. C., Gonçalves, W. N., Baets, B. D., & Bruno, O. M. (2023). RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, No 2023, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109802
NLM
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Vancouver
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Artigo de periodico
Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum (2023)
Carvalho Júnior, Arnaldo de; Angélico, Bruno Augusto ; Justo Filho, João Francisco ; Oliveira, Alexandre Maniçoba de; Silva Filho, João Inácio da
Source: Applied Soft Computing. Unidade: EP
Subjects: LÓGICA PARACONSISTENTE, REDES NEURAIS, SISTEMAS DE CONTROLE, OTIMIZAÇÃO NÃO LINEAR
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ABNT
CARVALHO JÚNIOR, Arnaldo de et al. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, v. 133, n. Ja 2023, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109927. Acesso em: 17 jul. 2024.
APA
Carvalho Júnior, A. de, Angélico, B. A., Justo Filho, J. F., Oliveira, A. M. de, & Silva Filho, J. I. da. (2023). Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, 133( Ja 2023), 1-12. doi:10.1016/j.asoc.2022.109927
NLM
Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
Vancouver
Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
Artigo de periodico
Structure and function in artificial, zebrafish and human neural networks (2023)
Ji, Peng ; Wang, Yufan ; Peron, Thomas ; Li, Chunhe; Nagler, Jan ; Du, Jiulin
Source: Physics of Life Reviews. Unidade: ICMC
Subjects: NEUROCIÊNCIAS, INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS
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ABNT
JI, Peng et al. Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, v. 45, p. 74-111, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2023.04.004. Acesso em: 17 jul. 2024.
APA
Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., & Du, J. (2023). Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, 45, 74-111. doi:10.1016/j.plrev.2023.04.004
NLM
Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
Vancouver
Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
Artigo de periodico
Deep learning for sex determination: analyzing over 200,000 panoramic radiographs (2023)
Ciconelle, Ana Cláudia Martins ; Silva, Renan Lúcio Berbel da ; Kim, Jun Ho ; Rocha, Bruno Aragão ; Santos, Dênis Gonçalves dos ; Vianna, Luis Gustavo Rocha ; Ferreira, Luma Gallacio Gomes ; Santos, Vinícius Henrique Pereira dos ; Costa, Jeferson Orofino; Vicente, Renato
Source: Journal of Forensic Sciences. Unidades: IME, FO
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, RADIOGRAFIA PANORÂMICA, DIAGNÓSTICO POR IMAGEM
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ABNT
CICONELLE, Ana Cláudia Martins et al. Deep learning for sex determination: analyzing over 200,000 panoramic radiographs. Journal of Forensic Sciences, v. 68, n. 6, p. 2057-2064, 2023Tradução . . Disponível em: https://doi.org/10.1111/1556-4029.15376. Acesso em: 17 jul. 2024.
APA
Ciconelle, A. C. M., Silva, R. L. B. da, Kim, J. H., Rocha, B. A., Santos, D. G. dos, Vianna, L. G. R., et al. (2023). Deep learning for sex determination: analyzing over 200,000 panoramic radiographs. Journal of Forensic Sciences, 68( 6), 2057-2064. doi:10.1111/1556-4029.15376
NLM
Ciconelle ACM, Silva RLB da, Kim JH, Rocha BA, Santos DG dos, Vianna LGR, Ferreira LGG, Santos VHP dos, Costa JO, Vicente R. Deep learning for sex determination: analyzing over 200,000 panoramic radiographs [Internet]. Journal of Forensic Sciences. 2023 ; 68( 6): 2057-2064.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1111/1556-4029.15376
Vancouver
Ciconelle ACM, Silva RLB da, Kim JH, Rocha BA, Santos DG dos, Vianna LGR, Ferreira LGG, Santos VHP dos, Costa JO, Vicente R. Deep learning for sex determination: analyzing over 200,000 panoramic radiographs [Internet]. Journal of Forensic Sciences. 2023 ; 68( 6): 2057-2064.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1111/1556-4029.15376
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
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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: 17 jul. 2024.
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 2024 jul. 17 ] 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 2024 jul. 17 ] Available from: https://doi.org/10.1007/s10489-023-05134-x
Artigo de periodico
Intermittency properties in a temporal lobe epilepsy model (2023)
Borges, F. S.; Protachevicz, R. P.
Source: Epilepsy & Behavior. Unidade: IF
Subjects: BIOFÍSICA, BIOMARCADORES, EPILEPSIA DO LOBO TEMPORAL, REDES NEURAIS, CONVULSÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORGES, F. S. e PROTACHEVICZ, R. P. Intermittency properties in a temporal lobe epilepsy model. Epilepsy & Behavior, v. 139, p. 9 , 2023Tradução . . Disponível em: https://doi.org/10.1016/j.yebeh.2022.109072. Acesso em: 17 jul. 2024.
APA
Borges, F. S., & Protachevicz, R. P. (2023). Intermittency properties in a temporal lobe epilepsy model. Epilepsy & Behavior, 139, 9 . doi:10.1016/j.yebeh.2022.109072
NLM
Borges FS, Protachevicz RP. Intermittency properties in a temporal lobe epilepsy model [Internet]. Epilepsy & Behavior. 2023 ; 139 9 .[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
Vancouver
Borges FS, Protachevicz RP. Intermittency properties in a temporal lobe epilepsy model [Internet]. Epilepsy & Behavior. 2023 ; 139 9 .[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
Artigo de periodico
Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task (2023)
Ribeiro, Leo Sampaio Ferraz ; Bui, Tu ; Collomosse, John ; Ponti, Moacir Antonelli
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Leo Sampaio Ferraz et al. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, v. 82, n. 24, p. 38117-38139, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-14282-0. Acesso em: 17 jul. 2024.
APA
Ribeiro, L. S. F., Bui, T., Collomosse, J., & Ponti, M. A. (2023). Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, 82( 24), 38117-38139. doi:10.1007/s11042-022-14282-0
NLM
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Vancouver
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Artigo de periodico
Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks (2023)
Lago, César Ambrogi Ferreira do; Giacomoni, Marcio H; Bentivoglio, Roberto; Taormina, Riccardo; Gomes Junior, Marcus Nóbrega; Mendiondo, Eduardo Mario
Source: Journal of hydrology. Unidade: EESC
Subjects: HIDRODINÂMICA, REDES NEURAIS, ENCHENTES URBANAS, ENGENHARIA DE PRODUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAGO, César Ambrogi Ferreira do et al. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks. Journal of hydrology, v. 618, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jhydrol.2023.129276. Acesso em: 17 jul. 2024.
APA
Lago, C. A. F. do, Giacomoni, M. H., Bentivoglio, R., Taormina, R., Gomes Junior, M. N., & Mendiondo, E. M. (2023). Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks. Journal of hydrology, 618, 1-15. doi:10.1016/j.jhydrol.2023.129276
NLM
Lago CAF do, Giacomoni MH, Bentivoglio R, Taormina R, Gomes Junior MN, Mendiondo EM. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks [Internet]. Journal of hydrology. 2023 ; 618 1-15.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jhydrol.2023.129276
Vancouver
Lago CAF do, Giacomoni MH, Bentivoglio R, Taormina R, Gomes Junior MN, Mendiondo EM. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks [Internet]. Journal of hydrology. 2023 ; 618 1-15.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jhydrol.2023.129276
Artigo de periodico
Land use policies and their effects on brazilian farming production (2023)
El Batti, Matheus Mansour; Machado, Pedro Gerber ; Hawkes, Adam ; Ribeiro, Celma
Source: Journal for Nature Conservation. Unidade: EP
Subjects: SUSTENTABILIDADE, AGROPECUÁRIA, USO DO SOLO, REDES NEURAIS, REFLORESTAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
EL BATTI, Matheus Mansour et al. Land use policies and their effects on brazilian farming production. Journal for Nature Conservation, v. 73, p. 11 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jnc.2023.126373. Acesso em: 17 jul. 2024.
APA
El Batti, M. M., Machado, P. G., Hawkes, A., & Ribeiro, C. (2023). Land use policies and their effects on brazilian farming production. Journal for Nature Conservation, 73, 11 on-line. doi:10.1016/j.jnc.2023.126373
NLM
El Batti MM, Machado PG, Hawkes A, Ribeiro C. Land use policies and their effects on brazilian farming production [Internet]. Journal for Nature Conservation. 2023 ; 73 11 on-line.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jnc.2023.126373
Vancouver
El Batti MM, Machado PG, Hawkes A, Ribeiro C. Land use policies and their effects on brazilian farming production [Internet]. Journal for Nature Conservation. 2023 ; 73 11 on-line.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jnc.2023.126373
Artigo de periodico
Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks (2023)
Neiva, Mariane Barros ; Bruno, Odemir Martinez
Source: Physica A. Unidades: IFSC, ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEIVA, Mariane Barros e BRUNO, Odemir Martinez. Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks. Physica A, v. 626, p. 129086-1-129086-11, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2023.129086. Acesso em: 17 jul. 2024.
APA
Neiva, M. B., & Bruno, O. M. (2023). Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks. Physica A, 626, 129086-1-129086-11. doi:10.1016/j.physa.2023.129086
NLM
Neiva MB, Bruno OM. Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks [Internet]. Physica A. 2023 ; 626 129086-1-129086-11.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.physa.2023.129086
Vancouver
Neiva MB, Bruno OM. Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks [Internet]. Physica A. 2023 ; 626 129086-1-129086-11.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.physa.2023.129086

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