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Artigo de periodico
Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de ; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Entropy. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, TEORIA DA INFORMAÇÃO
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BONIDIA, Robson Parmezan et al. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, v. 24, n. 10, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/e24101398. Acesso em: 27 abr. 2024.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, 24( 10), 1-17. doi:10.3390/e24101398
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2024 abr. 27 ] Available from: https://doi.org/10.3390/e24101398
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2024 abr. 27 ] Available from: https://doi.org/10.3390/e24101398
Artigo de periodico
Global solvability and cohomology of tube structures on compact manifolds (2024)
Araújo, Gabriel Cueva Candido Soares de ; Ferra, Igor Ambo ; Jahnke, Max Reinhold ; Ragognette, Luis Fernando
Source: Mathematische Annalen. Unidade: ICMC
Subjects: EQUAÇÕES DIFERENCIAIS PARCIAIS DE 1ª ORDEM, EQUAÇÕES DIFERENCIAIS PARCIAIS LINEARES, OPERADORES DIFERENCIAIS
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ARAÚJO, Gabriel Cueva Candido Soares de et al. Global solvability and cohomology of tube structures on compact manifolds. Mathematische Annalen, 2024Tradução . . Disponível em: https://doi.org/10.1007/s00208-024-02804-0. Acesso em: 27 abr. 2024.
APA
Araújo, G. C. C. S. de, Ferra, I. A., Jahnke, M. R., & Ragognette, L. F. (2024). Global solvability and cohomology of tube structures on compact manifolds. Mathematische Annalen. doi:10.1007/s00208-024-02804-0
NLM
Araújo GCCS de, Ferra IA, Jahnke MR, Ragognette LF. Global solvability and cohomology of tube structures on compact manifolds [Internet]. Mathematische Annalen. 2024 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/s00208-024-02804-0
Vancouver
Araújo GCCS de, Ferra IA, Jahnke MR, Ragognette LF. Global solvability and cohomology of tube structures on compact manifolds [Internet]. Mathematische Annalen. 2024 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/s00208-024-02804-0
Artigo de periodico
Generalized local duality, canonical modules, and prescribed bound on projective dimension (2023)
Freitas, Thiago Henrique de ; Pérez, Victor Hugo Jorge ; Miranda-Neto, Cleto Brasileiro ; Schenzel, Peter
Source: Journal of Pure and Applied Algebra. Unidade: ICMC
Subjects: ANÉIS E ÁLGEBRAS COMUTATIVOS, COHOMOLOGIA, HOMOLOGIA
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FREITAS, Thiago Henrique de et al. Generalized local duality, canonical modules, and prescribed bound on projective dimension. Journal of Pure and Applied Algebra, v. 227, n. 2, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jpaa.2022.107188. Acesso em: 27 abr. 2024.
APA
Freitas, T. H. de, Pérez, V. H. J., Miranda-Neto, C. B., & Schenzel, P. (2023). Generalized local duality, canonical modules, and prescribed bound on projective dimension. Journal of Pure and Applied Algebra, 227( 2), 1-17. doi:10.1016/j.jpaa.2022.107188
NLM
Freitas TH de, Pérez VHJ, Miranda-Neto CB, Schenzel P. Generalized local duality, canonical modules, and prescribed bound on projective dimension [Internet]. Journal of Pure and Applied Algebra. 2023 ; 227( 2): 1-17.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.jpaa.2022.107188
Vancouver
Freitas TH de, Pérez VHJ, Miranda-Neto CB, Schenzel P. Generalized local duality, canonical modules, and prescribed bound on projective dimension [Internet]. Journal of Pure and Applied Algebra. 2023 ; 227( 2): 1-17.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.jpaa.2022.107188
Artigo de periodico
Generalized enhanced suffix array construction in external memory (2017)
Louza, Felipe A; Telles, Guilherme P; Hoffmann, Steve; Ciferri, Cristina Dutra de Aguiar
Source: Algorithms for Molecular Biology. Unidade: ICMC
Subjects: BANCO DE DADOS, ALGORITMOS E ESTRUTURAS DE DADOS
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LOUZA, Felipe A et al. Generalized enhanced suffix array construction in external memory. Algorithms for Molecular Biology, v. 12, p. 1-16, 2017Tradução . . Disponível em: https://doi.org/10.1186/s13015-017-0117-9. Acesso em: 27 abr. 2024.
APA
Louza, F. A., Telles, G. P., Hoffmann, S., & Ciferri, C. D. de A. (2017). Generalized enhanced suffix array construction in external memory. Algorithms for Molecular Biology, 12, 1-16. doi:10.1186/s13015-017-0117-9
NLM
Louza FA, Telles GP, Hoffmann S, Ciferri CD de A. Generalized enhanced suffix array construction in external memory [Internet]. Algorithms for Molecular Biology. 2017 ; 12 1-16.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1186/s13015-017-0117-9
Vancouver
Louza FA, Telles GP, Hoffmann S, Ciferri CD de A. Generalized enhanced suffix array construction in external memory [Internet]. Algorithms for Molecular Biology. 2017 ; 12 1-16.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1186/s13015-017-0117-9
Trabalho de evento
From safety requirements to just-enough safety-centered architectural solutions in agile contexts (2020)
Leite, Isabella Muniz; Antonino, Pablo Oliveira ; Nakagawa, Elisa Yumi
Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: ICMC
Subjects: SEGURANÇA DE SOFTWARE, ENGENHARIA DE REQUISITOS, ARQUITETURA DE SOFTWARE
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LEITE, Isabella Muniz e ANTONINO, Pablo Oliveira e NAKAGAWA, Elisa Yumi. From safety requirements to just-enough safety-centered architectural solutions in agile contexts. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3422392.3422476. Acesso em: 27 abr. 2024.
APA
Leite, I. M., Antonino, P. O., & Nakagawa, E. Y. (2020). From safety requirements to just-enough safety-centered architectural solutions in agile contexts. In Proceedings. New York: ACM. doi:10.1145/3422392.3422476
NLM
Leite IM, Antonino PO, Nakagawa EY. From safety requirements to just-enough safety-centered architectural solutions in agile contexts [Internet]. Proceedings. 2020 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1145/3422392.3422476
Vancouver
Leite IM, Antonino PO, Nakagawa EY. From safety requirements to just-enough safety-centered architectural solutions in agile contexts [Internet]. Proceedings. 2020 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1145/3422392.3422476
Trabalho de evento-anais periodico
Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches (2021)
Almeida, Breno Lívio Silva de; Queiroz, Alvaro Pedroso; Santos, Anderson Paulo Avila ; Bonidia, Robson Parmezan ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: ICMC, EESC E ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
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ALMEIDA, Breno Lívio Silva de et al. Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91814-9_8. Acesso em: 27 abr. 2024. , 2021
APA
Almeida, B. L. S. de, Queiroz, A. P., Santos, A. P. A., Bonidia, R. P., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2021). Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-91814-9_8
NLM
Almeida BLS de, Queiroz AP, Santos APA, Bonidia RP, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 81-92.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_8
Vancouver
Almeida BLS de, Queiroz AP, Santos APA, Bonidia RP, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 81-92.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_8
Artigo de periodico
Explaining individual and collective programming students' behavior by interpreting a black-box predictive model (2021)
Pereira, Filipe Dwan ; Fonseca, Samuel C; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra Ioana ; Bellhäuser, Henrik ; Rodrigues, Luiz Antonio Lima ; Oliveira, David B. F; Isotani, Seiji ; Carvalho, Leandro S. Galvão
Source: IEEE Access. Unidade: ICMC
Subjects: RENDIMENTO ESCOLAR, APRENDIZAGEM, COMPUTADOR NO ENSINO
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PEREIRA, Filipe Dwan et al. Explaining individual and collective programming students' behavior by interpreting a black-box predictive model. IEEE Access, v. 9, p. 117097-117119, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3105956. Acesso em: 27 abr. 2024.
APA
Pereira, F. D., Fonseca, S. C., Oliveira, E. H. T. de, Cristea, A. I., Bellhäuser, H., Rodrigues, L. A. L., et al. (2021). Explaining individual and collective programming students' behavior by interpreting a black-box predictive model. IEEE Access, 9, 117097-117119. doi:10.1109/ACCESS.2021.3105956
NLM
Pereira FD, Fonseca SC, Oliveira EHT de, Cristea AI, Bellhäuser H, Rodrigues LAL, Oliveira DBF, Isotani S, Carvalho LSG. Explaining individual and collective programming students' behavior by interpreting a black-box predictive model [Internet]. IEEE Access. 2021 ; 9 117097-117119.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/ACCESS.2021.3105956
Vancouver
Pereira FD, Fonseca SC, Oliveira EHT de, Cristea AI, Bellhäuser H, Rodrigues LAL, Oliveira DBF, Isotani S, Carvalho LSG. Explaining individual and collective programming students' behavior by interpreting a black-box predictive model [Internet]. IEEE Access. 2021 ; 9 117097-117119.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/ACCESS.2021.3105956
Artigo de periodico
Effects of vegetation and topography on the boundary layer structure above the Amazon forest (2020)
Chamecki, Marcelo ; Freire, Lívia Souza ; Dias, Nelson L; Chen, Bicheng; Dias Júnior, Cléo Quaresma ; Machado, Luiz Augusto Toledo; Sörgel, Matthias ; Tsokankunku, Anywhere; Araújo, Alessandro C. de
Source: Journal of the Atmospheric Sciences. Unidade: ICMC
Subjects: TURBULÊNCIA ATMOSFÉRICA, TOPOGRAFIA, AMAZÔNIA
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CHAMECKI, Marcelo et al. Effects of vegetation and topography on the boundary layer structure above the Amazon forest. Journal of the Atmospheric Sciences, v. 77, n. 8, p. 2941-2957, 2020Tradução . . Disponível em: https://doi.org/10.1175/JAS-D-20-0063.1. Acesso em: 27 abr. 2024.
APA
Chamecki, M., Freire, L. S., Dias, N. L., Chen, B., Dias Júnior, C. Q., Machado, L. A. T., et al. (2020). Effects of vegetation and topography on the boundary layer structure above the Amazon forest. Journal of the Atmospheric Sciences, 77( 8), 2941-2957. doi:10.1175/JAS-D-20-0063.1
NLM
Chamecki M, Freire LS, Dias NL, Chen B, Dias Júnior CQ, Machado LAT, Sörgel M, Tsokankunku A, Araújo AC de. Effects of vegetation and topography on the boundary layer structure above the Amazon forest [Internet]. Journal of the Atmospheric Sciences. 2020 ; 77( 8): 2941-2957.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1175/JAS-D-20-0063.1
Vancouver
Chamecki M, Freire LS, Dias NL, Chen B, Dias Júnior CQ, Machado LAT, Sörgel M, Tsokankunku A, Araújo AC de. Effects of vegetation and topography on the boundary layer structure above the Amazon forest [Internet]. Journal of the Atmospheric Sciences. 2020 ; 77( 8): 2941-2957.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1175/JAS-D-20-0063.1
Artigo de periodico
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning (2023)
Alves, Caroline Lourenço ; Oliveira, Thaise Graziele Lima de ; Aguiar, Patricia Maria de Carvalho ; Pineda, Aruane Mello ; Roster, Kirstin ; Thielemann, Christiane ; Porto, Joel Augusto Moura ; Rodrigues, Francisco Aparecido
Source: Scientific Reports. Unidades: ICMC, IFSC
Subjects: TECNOLOGIAS DA SAÚDE, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR
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ALVES, Caroline Lourenço et al. Diagnosis of autism spectrum disorder based on functional brain networks and machine learning. Scientific Reports, v. 13, p. 8072-1-8072-20, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-34650-6. Acesso em: 27 abr. 2024.
APA
Alves, C. L., Oliveira, T. G. L. de, Aguiar, P. M. de C., Pineda, A. M., Roster, K., Thielemann, C., et al. (2023). Diagnosis of autism spectrum disorder based on functional brain networks and machine learning. Scientific Reports, 13, 8072-1-8072-20. doi:10.1038/s41598-023-34650-6
NLM
Alves CL, Oliveira TGL de, Aguiar PM de C, Pineda AM, Roster K, Thielemann C, Porto JAM, Rodrigues FA. Diagnosis of autism spectrum disorder based on functional brain networks and machine learning [Internet]. Scientific Reports. 2023 ; 13 8072-1-8072-20.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1038/s41598-023-34650-6
Vancouver
Alves CL, Oliveira TGL de, Aguiar PM de C, Pineda AM, Roster K, Thielemann C, Porto JAM, Rodrigues FA. Diagnosis of autism spectrum disorder based on functional brain networks and machine learning [Internet]. Scientific Reports. 2023 ; 13 8072-1-8072-20.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1038/s41598-023-34650-6
Artigo de periodico
Development of a novel chemoinformatic tool for natural product databases (2023)
Carmo, Paulo Ricardo Viviurka do ; Marcacini, Ricardo Marcondes ; Valli, Marilia ; Silva-Silva, João Victor ; Ferreira, Leonardo Luiz Gomes ; Pilon, Alan Cesar ; Bolzani, Vanderlan da Silva ; Andricopulo, Adriano Defini ; Marx, Edgard
Source: Future Drug Discovery. Unidades: ICMC, IFSC
Subjects: DESCOBERTA DE CONHECIMENTO, APRENDIZADO COMPUTACIONAL, BANCO DE DADOS, FÁRMACOS, PRODUTOS NATURAIS
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CARMO, Paulo Ricardo Viviurka do et al. Development of a novel chemoinformatic tool for natural product databases. Future Drug Discovery, v. 5, n. 2, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.4155/fdd-2023-0007. Acesso em: 27 abr. 2024.
APA
Carmo, P. R. V. do, Marcacini, R. M., Valli, M., Silva-Silva, J. V., Ferreira, L. L. G., Pilon, A. C., et al. (2023). Development of a novel chemoinformatic tool for natural product databases. Future Drug Discovery, 5( 2), 1-11. doi:10.4155/fdd-2023-0007
NLM
Carmo PRV do, Marcacini RM, Valli M, Silva-Silva JV, Ferreira LLG, Pilon AC, Bolzani V da S, Andricopulo AD, Marx E. Development of a novel chemoinformatic tool for natural product databases [Internet]. Future Drug Discovery. 2023 ; 5( 2): 1-11.[citado 2024 abr. 27 ] Available from: https://doi.org/10.4155/fdd-2023-0007
Vancouver
Carmo PRV do, Marcacini RM, Valli M, Silva-Silva JV, Ferreira LLG, Pilon AC, Bolzani V da S, Andricopulo AD, Marx E. Development of a novel chemoinformatic tool for natural product databases [Internet]. Future Drug Discovery. 2023 ; 5( 2): 1-11.[citado 2024 abr. 27 ] Available from: https://doi.org/10.4155/fdd-2023-0007
Trabalho de evento
Data complexity measures for imbalanced classification tasks (2018)
Barella, Victor H; Garcia, Luís P. F; Souto, Marcílio P. de; Lorena, Ana Carolina; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
BARELLA, Victor H et al. Data complexity measures for imbalanced classification tasks. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489661. Acesso em: 27 abr. 2024.
APA
Barella, V. H., Garcia, L. P. F., Souto, M. P. de, Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2018). Data complexity measures for imbalanced classification tasks. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489661
NLM
Barella VH, Garcia LPF, Souto MP de, Lorena AC, Carvalho ACP de LF de. Data complexity measures for imbalanced classification tasks [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489661
Vancouver
Barella VH, Garcia LPF, Souto MP de, Lorena AC, Carvalho ACP de LF de. Data complexity measures for imbalanced classification tasks [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489661
Artigo de periodico
Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity (2020)
Ciba, Manuel; Bestel, Robert; Nick, Cristoph; Arruda, Guilherme Ferraz de; Peron, Thomas Kauê Dal'Maso; Comin, Cesar Henrique; Costa, Luciano da Fontoura ; Rodrigues, Francisco Aparecido ; Thielemann, Christiane
Source: Neural Computation. Unidades: IFSC, ICMC
Subjects: CÉREBRO, REDES NEURAIS
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ABNT
CIBA, Manuel et al. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, v. 32, n. 5, p. 887-911, 2020Tradução . . Disponível em: https://doi.org/10.1162/neco_a_01277. Acesso em: 27 abr. 2024.
APA
Ciba, M., Bestel, R., Nick, C., Arruda, G. F. de, Peron, T. K. D. 'M., Comin, C. H., et al. (2020). Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, 32( 5), 887-911. doi:10.1162/neco_a_01277
NLM
Ciba M, Bestel R, Nick C, Arruda GF de, Peron TKD'M, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco_a_01277
Vancouver
Ciba M, Bestel R, Nick C, Arruda GF de, Peron TKD'M, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco_a_01277
Artigo de periodico
Clustering of RNA-Seq samples: comparison study on cancer data (2018)
Jaskowiak, Pablo Andretta; Costa, Ivan G; Campello, Ricardo José Gabrielli Barreto
Source: Methods. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, EXPRESSÃO GÊNICA, NEOPLASIAS
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JASKOWIAK, Pablo Andretta e COSTA, Ivan G e CAMPELLO, Ricardo José Gabrielli Barreto. Clustering of RNA-Seq samples: comparison study on cancer data. Methods, v. 132, n. Ja 2018, p. 42-49, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ymeth.2017.07.023. Acesso em: 27 abr. 2024.
APA
Jaskowiak, P. A., Costa, I. G., & Campello, R. J. G. B. (2018). Clustering of RNA-Seq samples: comparison study on cancer data. Methods, 132( Ja 2018), 42-49. doi:10.1016/j.ymeth.2017.07.023
NLM
Jaskowiak PA, Costa IG, Campello RJGB. Clustering of RNA-Seq samples: comparison study on cancer data [Internet]. Methods. 2018 ; 132( Ja 2018): 42-49.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.ymeth.2017.07.023
Vancouver
Jaskowiak PA, Costa IG, Campello RJGB. Clustering of RNA-Seq samples: comparison study on cancer data [Internet]. Methods. 2018 ; 132( Ja 2018): 42-49.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.ymeth.2017.07.023
Artigo de periodico
CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems (2021)
Alkhnbashi, Omer S ; Mitrofanov, Alexander; Bonidia, Robson Parmezan ; Raden, Martin ; Tran, Van Dinh ; Eggenhofer, Florian ; Shah, Shiraz A ; Ozturk, Ekrem; Padilha, Victor Alexandre ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Backofen, Rolf
Source: Nucleic Acids Research. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, GENES
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ALKHNBASHI, Omer S et al. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Research, v. 49, p. w125-w130, 2021Tradução . . Disponível em: https://doi.org/10.1093/nar/gkab456. Acesso em: 27 abr. 2024.
APA
Alkhnbashi, O. S., Mitrofanov, A., Bonidia, R. P., Raden, M., Tran, V. D., Eggenhofer, F., et al. (2021). CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Research, 49, w125-w130. doi:10.1093/nar/gkab456
NLM
Alkhnbashi OS, Mitrofanov A, Bonidia RP, Raden M, Tran VD, Eggenhofer F, Shah SA, Ozturk E, Padilha VA, Sanches DS, Carvalho ACP de LF de, Backofen R. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems [Internet]. Nucleic Acids Research. 2021 ; 49 w125-w130.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1093/nar/gkab456
Vancouver
Alkhnbashi OS, Mitrofanov A, Bonidia RP, Raden M, Tran VD, Eggenhofer F, Shah SA, Ozturk E, Padilha VA, Sanches DS, Carvalho ACP de LF de, Backofen R. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems [Internet]. Nucleic Acids Research. 2021 ; 49 w125-w130.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1093/nar/gkab456
Artigo de periodico
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification (2024)
Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de ; Bonidia, Robson Parmezan ; Stadler, Peter F ; Štefanič, Polonca; Mandic-Mulec, Ines; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: RNA Biology. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, APRENDIZAGEM PROFUNDA, REDES NEURAIS, RNA, REGULAÇÃO GÊNICA, GENÔMICA
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ABNT
SANTOS, Anderson Paulo Avila et al. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, v. 21, n. 1, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1080/15476286.2024.2329451. Acesso em: 27 abr. 2024.
APA
Santos, A. P. A., Almeida, B. L. S. de, Bonidia, R. P., Stadler, P. F., Štefanič, P., Mandic-Mulec, I., et al. (2024). BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, 21( 1), 1-12. doi:10.1080/15476286.2024.2329451
NLM
Santos APA, Almeida BLS de, Bonidia RP, Stadler PF, Štefanič P, Mandic-Mulec I, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification [Internet]. RNA Biology. 2024 ; 21( 1): 1-12.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1080/15476286.2024.2329451
Vancouver
Santos APA, Almeida BLS de, Bonidia RP, Stadler PF, Štefanič P, Mandic-Mulec I, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification [Internet]. RNA Biology. 2024 ; 21( 1): 1-12.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1080/15476286.2024.2329451
Artigo de periodico
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Briefings in Bioinformatics. Unidades: ICMC, EESC E ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, v. 23, n. 4, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbac218. Acesso em: 27 abr. 2024.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, 23( 4), 1-13. doi:10.1093/bib/bbac218
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1093/bib/bbac218
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1093/bib/bbac218
Artigo de periodico
Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning (2023)
Pineda, Aruane Mello ; Rodrigues, Francisco Aparecido ; Alves, Caroline Lourenço ; Möckel, Michael; Oliveira, Thaise Graziele Lima de ; Porto, Joel Augusto Moura
Source: Journal of Complex Networks. Unidades: ICMC, IFSC
Subjects: TECNOLOGIAS DA SAÚDE, APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, DOENÇAS VASCULARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINEDA, Aruane Mello et al. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning. Journal of Complex Networks, v. 11, n. 5, p. cnad030-1-cnad030-21, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad030. Acesso em: 27 abr. 2024.
APA
Pineda, A. M., Rodrigues, F. A., Alves, C. L., Möckel, M., Oliveira, T. G. L. de, & Porto, J. A. M. (2023). Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning. Journal of Complex Networks, 11( 5), cnad030-1-cnad030-21. doi:10.1093/comnet/cnad030
NLM
Pineda AM, Rodrigues FA, Alves CL, Möckel M, Oliveira TGL de, Porto JAM. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning [Internet]. Journal of Complex Networks. 2023 ; 11( 5): cnad030-1-cnad030-21.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1093/comnet/cnad030
Vancouver
Pineda AM, Rodrigues FA, Alves CL, Möckel M, Oliveira TGL de, Porto JAM. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning [Internet]. Journal of Complex Networks. 2023 ; 11( 5): cnad030-1-cnad030-21.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1093/comnet/cnad030
Artigo de periodico
Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia (2023)
Alves, Caroline Lourenço ; Oliveira, Thaise Graziele Lima de ; Porto, Joel Augusto Moura ; Aguiar, Patricia Maria de Carvalho ; Sena, Eduardo Pondé de ; Rodrigues, Francisco Aparecido ; Pineda, Aruane Mello ; Thielemann, Christiane
Source: Journal of Neural Engineering. Unidades: ICMC, IFSC
Subjects: TECNOLOGIAS DA SAÚDE, APRENDIZADO COMPUTACIONAL, ESQUIZOFRENIA, REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, CÉREBRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Caroline Lourenço et al. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, v. 20, n. 5, p. 056025-1-056025-28, 2023Tradução . . Disponível em: https://doi.org/10.1088/1741-2552/acf734. Acesso em: 27 abr. 2024.
APA
Alves, C. L., Oliveira, T. G. L. de, Porto, J. A. M., Aguiar, P. M. de C., Sena, E. P. de, Rodrigues, F. A., et al. (2023). Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, 20( 5), 056025-1-056025-28. doi:10.1088/1741-2552/acf734
NLM
Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1088/1741-2552/acf734
Vancouver
Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1088/1741-2552/acf734
Artigo de periodico
An investigation of knowledge gaps of graduate students regarding safety-critical systems development: a controlled experiment (2022)
Leite, Ana Isabella Muniz ; Nogueira, Lucas Lagôa ; Lopes, Samuel de Souza ; Braga, Rosana Teresinha Vaccare ; Antonino, Pablo Oliveira ; Nakagawa, Elisa Yumi
Source: IEEE Transactions on Education. Unidade: ICMC
Subjects: PÓS-GRADUAÇÃO, CIÊNCIA DA COMPUTAÇÃO, ARQUITETURA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEITE, Ana Isabella Muniz et al. An investigation of knowledge gaps of graduate students regarding safety-critical systems development: a controlled experiment. IEEE Transactions on Education, v. 65, n. 1, p. 64-72, 2022Tradução . . Disponível em: https://doi.org/10.1109/TE.2021.3093347. Acesso em: 27 abr. 2024.
APA
Leite, A. I. M., Nogueira, L. L., Lopes, S. de S., Braga, R. T. V., Antonino, P. O., & Nakagawa, E. Y. (2022). An investigation of knowledge gaps of graduate students regarding safety-critical systems development: a controlled experiment. IEEE Transactions on Education, 65( 1), 64-72. doi:10.1109/TE.2021.3093347
NLM
Leite AIM, Nogueira LL, Lopes S de S, Braga RTV, Antonino PO, Nakagawa EY. An investigation of knowledge gaps of graduate students regarding safety-critical systems development: a controlled experiment [Internet]. IEEE Transactions on Education. 2022 ; 65( 1): 64-72.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/TE.2021.3093347
Vancouver
Leite AIM, Nogueira LL, Lopes S de S, Braga RTV, Antonino PO, Nakagawa EY. An investigation of knowledge gaps of graduate students regarding safety-critical systems development: a controlled experiment [Internet]. IEEE Transactions on Education. 2022 ; 65( 1): 64-72.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/TE.2021.3093347
Artigo de periodico
An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology (2024)
Matos, Saulo Neves ; Pinto, Thomas V. B. e ; Domingues, Jacó Dias ; Ranieri, Caetano Mazzoni ; Albuquerque, Kaike S ; Moreira, Vinicius da Silva ; Souza, Ernandes Sávio ; Ueyama, Jó ; Euzébio, Thiago A. M ; Pessin, Gustavo
Source: IEEE Transactions on Instrumentation and Measurement. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, INDÚSTRIA MINERAL, ESTATÍSTICA, MINERAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Saulo Neves et al. An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology. IEEE Transactions on Instrumentation and Measurement, v. 73, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1109/TIM.2023.3342220. Acesso em: 27 abr. 2024.
APA
Matos, S. N., Pinto, T. V. B. e, Domingues, J. D., Ranieri, C. M., Albuquerque, K. S., Moreira, V. da S., et al. (2024). An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology. IEEE Transactions on Instrumentation and Measurement, 73, 1-11. doi:10.1109/TIM.2023.3342220
NLM
Matos SN, Pinto TVB e, Domingues JD, Ranieri CM, Albuquerque KS, Moreira V da S, Souza ES, Ueyama J, Euzébio TAM, Pessin G. An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology [Internet]. IEEE Transactions on Instrumentation and Measurement. 2024 ; 73 1-11.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/TIM.2023.3342220
Vancouver
Matos SN, Pinto TVB e, Domingues JD, Ranieri CM, Albuquerque KS, Moreira V da S, Souza ES, Ueyama J, Euzébio TAM, Pessin G. An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology [Internet]. IEEE Transactions on Instrumentation and Measurement. 2024 ; 73 1-11.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/TIM.2023.3342220

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