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SOARES, Victor Hugo Andrade et al. Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, v. 189, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106354. Acesso em: 24 abr. 2024.
APA
Soares, V. H. A., Ponti, M. A., Gonçalves, R. A., & Campello, R. J. G. B. (2021). Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, 189, 1-14. doi:10.1016/j.compag.2021.106354
NLM
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Vancouver
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
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PADILHA, Victor Alexandre et al. Casboundary: automated definition of integral Cas cassettes. Bioinformatics, v. 37, n. 10, p. 1352-1359, 2021Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btaa984. Acesso em: 24 abr. 2024.
APA
Padilha, V. A., Alkhnbashi, O. S., Tran, V. D., Shah, S. A., Carvalho, A. C. P. de L. F. de, & Backofen, R. (2021). Casboundary: automated definition of integral Cas cassettes. Bioinformatics, 37( 10), 1352-1359. doi:10.1093/bioinformatics/btaa984
NLM
Padilha VA, Alkhnbashi OS, Tran VD, Shah SA, Carvalho ACP de LF de, Backofen R. Casboundary: automated definition of integral Cas cassettes [Internet]. Bioinformatics. 2021 ; 37( 10): 1352-1359.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1093/bioinformatics/btaa984
Vancouver
Padilha VA, Alkhnbashi OS, Tran VD, Shah SA, Carvalho ACP de LF de, Backofen R. Casboundary: automated definition of integral Cas cassettes [Internet]. Bioinformatics. 2021 ; 37( 10): 1352-1359.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1093/bioinformatics/btaa984
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OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomedical Signal Processing and Control, v. 66, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.102469. Acesso em: 24 abr. 2024.
APA
Oliva, J. T., & Rosa, J. L. G. (2021). Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomedical Signal Processing and Control, 66, 1-16. doi:10.1016/j.bspc.2021.102469
NLM
Oliva JT, Rosa JLG. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection [Internet]. Biomedical Signal Processing and Control. 2021 ; 66 1-16.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.bspc.2021.102469
Vancouver
Oliva JT, Rosa JLG. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection [Internet]. Biomedical Signal Processing and Control. 2021 ; 66 1-16.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.bspc.2021.102469
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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SILVA, Raíssa et al. geneRFinder: gene finding in distinct metagenomic data complexities. BMC Bioinformatics, v. 22, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1186/s12859-021-03997-w. Acesso em: 24 abr. 2024.
APA
Silva, R., Padovani, K., Goes, F. R. de, & Alves, R. (2021). geneRFinder: gene finding in distinct metagenomic data complexities. BMC Bioinformatics, 22, 1-17. doi:10.1186/s12859-021-03997-w
NLM
Silva R, Padovani K, Goes FR de, Alves R. geneRFinder: gene finding in distinct metagenomic data complexities [Internet]. BMC Bioinformatics. 2021 ; 22 1-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1186/s12859-021-03997-w
Vancouver
Silva R, Padovani K, Goes FR de, Alves R. geneRFinder: gene finding in distinct metagenomic data complexities [Internet]. BMC Bioinformatics. 2021 ; 22 1-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1186/s12859-021-03997-w
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CASSAR, Daniel Roberto et al. Predicting and interpreting oxide glass properties by machine learning using large datasets. Ceramics International, v. 47, n. 17, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ceramint.2021.05.105. Acesso em: 24 abr. 2024.
APA
Cassar, D. R., Mastelini, S. M., Botari, T., Alcobaça, E., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2021). Predicting and interpreting oxide glass properties by machine learning using large datasets. Ceramics International, 47( 17), Se 2021. doi:10.1016/j.ceramint.2021.05.105
NLM
Cassar DR, Mastelini SM, Botari T, Alcobaça E, Carvalho ACP de LF de, Zanotto ED. Predicting and interpreting oxide glass properties by machine learning using large datasets [Internet]. Ceramics International. 2021 ; 47( 17): Se 2021.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ceramint.2021.05.105
Vancouver
Cassar DR, Mastelini SM, Botari T, Alcobaça E, Carvalho ACP de LF de, Zanotto ED. Predicting and interpreting oxide glass properties by machine learning using large datasets [Internet]. Ceramics International. 2021 ; 47( 17): Se 2021.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ceramint.2021.05.105
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FREIRE, Lívia Souza e CHAMECKI, Marcelo. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model. Computers and Fluids, v. No 2021, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compfluid.2021.105135. Acesso em: 24 abr. 2024.
APA
Freire, L. S., & Chamecki, M. (2021). Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model. Computers and Fluids, No 2021, 1-17. doi:10.1016/j.compfluid.2021.105135
NLM
Freire LS, Chamecki M. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model [Internet]. Computers and Fluids. 2021 ; No 2021 1-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compfluid.2021.105135
Vancouver
Freire LS, Chamecki M. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model [Internet]. Computers and Fluids. 2021 ; No 2021 1-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compfluid.2021.105135
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PARMEZAN, Antonio Rafael Sabino et al. Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, v. 185, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115589. Acesso em: 24 abr. 2024.
APA
Parmezan, A. R. S., Lee, H. D., Spolaôr, N., & Wu, F. C. (2021). Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, 185, 1-30. doi:10.1016/j.eswa.2021.115589
NLM
Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
Vancouver
Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
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MENEGATTO, Valdir Antônio e OLIVEIRA, Claudemir Pinheiro de. Positive definiteness on products of compact two-point homogeneous spaces and locally compact Abelian groups. Canadian Mathematical Bulletin, v. 63, n. 4, p. 705-715, 2020Tradução . . Disponível em: https://doi.org/10.4153/S0008439519000663. Acesso em: 24 abr. 2024.
APA
Menegatto, V. A., & Oliveira, C. P. de. (2020). Positive definiteness on products of compact two-point homogeneous spaces and locally compact Abelian groups. Canadian Mathematical Bulletin, 63( 4), 705-715. doi:10.4153/S0008439519000663
NLM
Menegatto VA, Oliveira CP de. Positive definiteness on products of compact two-point homogeneous spaces and locally compact Abelian groups [Internet]. Canadian Mathematical Bulletin. 2020 ; 63( 4): 705-715.[citado 2024 abr. 24 ] Available from: https://doi.org/10.4153/S0008439519000663
Vancouver
Menegatto VA, Oliveira CP de. Positive definiteness on products of compact two-point homogeneous spaces and locally compact Abelian groups [Internet]. Canadian Mathematical Bulletin. 2020 ; 63( 4): 705-715.[citado 2024 abr. 24 ] Available from: https://doi.org/10.4153/S0008439519000663
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SANTOS, Dulce P et al. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, v. 46, n. 4, p. 4113-4125, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ceramint.2019.10.127. Acesso em: 24 abr. 2024.
APA
Santos, D. P., Pelissari, P. I. B. G. B., Oliveira, B. S. de, Leiva, D. R., Mello, R. F. de, & Pandolfelli, V. C. (2020). Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, 46( 4), 4113-4125. doi:10.1016/j.ceramint.2019.10.127
NLM
Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
Vancouver
Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
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SILVA, Mirlei M. da e MELLO, Rodrigo Fernandes de e RIOS, Ricardo A. Time series clustering using stochastic and deterministic influences. International Journal of Computational Science and Engineering, v. 21, n. 3, p. 394-417, 2020Tradução . . Disponível em: https://doi.org/10.1504/IJCSE.2020.106063. Acesso em: 24 abr. 2024.
APA
Silva, M. M. da, Mello, R. F. de, & Rios, R. A. (2020). Time series clustering using stochastic and deterministic influences. International Journal of Computational Science and Engineering, 21( 3), 394-417. doi:10.1504/IJCSE.2020.106063
NLM
Silva MM da, Mello RF de, Rios RA. Time series clustering using stochastic and deterministic influences [Internet]. International Journal of Computational Science and Engineering. 2020 ; 21( 3): 394-417.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1504/IJCSE.2020.106063
Vancouver
Silva MM da, Mello RF de, Rios RA. Time series clustering using stochastic and deterministic influences [Internet]. International Journal of Computational Science and Engineering. 2020 ; 21( 3): 394-417.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1504/IJCSE.2020.106063
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RODRIGUES, Luiz Antonio Lima e BONIDIA, Robson Parmezan e BRANCHER, Jacques. Procedural versus human level generation: two sides of the same coin?. International Journal of Human-Computer Studies, v. 141, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijhcs.2020.102465. Acesso em: 24 abr. 2024.
APA
Rodrigues, L. A. L., Bonidia, R. P., & Brancher, J. (2020). Procedural versus human level generation: two sides of the same coin? International Journal of Human-Computer Studies, 141, Se 2020. doi:10.1016/j.ijhcs.2020.102465
NLM
Rodrigues LAL, Bonidia RP, Brancher J. Procedural versus human level generation: two sides of the same coin? [Internet]. International Journal of Human-Computer Studies. 2020 ; 141 Se 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ijhcs.2020.102465
Vancouver
Rodrigues LAL, Bonidia RP, Brancher J. Procedural versus human level generation: two sides of the same coin? [Internet]. International Journal of Human-Computer Studies. 2020 ; 141 Se 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ijhcs.2020.102465
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HILASACA, Gladys Marleny e PAULOVICH, Fernando Vieira. Visual feature fusion and its application to support unsupervised clustering tasks. Information Visualization, v. 19, n. 2, p. 163-179, 2020Tradução . . Disponível em: https://doi.org/10.1177/1473871619891062. Acesso em: 24 abr. 2024.
APA
Hilasaca, G. M., & Paulovich, F. V. (2020). Visual feature fusion and its application to support unsupervised clustering tasks. Information Visualization, 19( 2), 163-179. doi:10.1177/1473871619891062
NLM
Hilasaca GM, Paulovich FV. Visual feature fusion and its application to support unsupervised clustering tasks [Internet]. Information Visualization. 2020 ; 19( 2): 163-179.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1177/1473871619891062
Vancouver
Hilasaca GM, Paulovich FV. Visual feature fusion and its application to support unsupervised clustering tasks [Internet]. Information Visualization. 2020 ; 19( 2): 163-179.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1177/1473871619891062
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FARIA, Stephanie Martins de et al. Effects of acute cannabidiol administration on anxiety and tremors induced by a simulated public speaking test in patients with Parkinson's disease. Journal of Psychopharmacology, v. 34, n. 2, 2020Tradução . . Disponível em: https://doi.org/10.1177/0269881119895536. Acesso em: 24 abr. 2024.
APA
Faria, S. M. de, Fabrício, D. de M., Tumas, V., Castro, P. C., Ponti, M. A., Hallak, J. E. C., et al. (2020). Effects of acute cannabidiol administration on anxiety and tremors induced by a simulated public speaking test in patients with Parkinson's disease. Journal of Psychopharmacology, 34( 2). doi:10.1177/0269881119895536
NLM
Faria SM de, Fabrício D de M, Tumas V, Castro PC, Ponti MA, Hallak JEC, Zuardi AW, Crippa JA de S, Chagas MHN. Effects of acute cannabidiol administration on anxiety and tremors induced by a simulated public speaking test in patients with Parkinson's disease [Internet]. Journal of Psychopharmacology. 2020 ; 34( 2):[citado 2024 abr. 24 ] Available from: https://doi.org/10.1177/0269881119895536
Vancouver
Faria SM de, Fabrício D de M, Tumas V, Castro PC, Ponti MA, Hallak JEC, Zuardi AW, Crippa JA de S, Chagas MHN. Effects of acute cannabidiol administration on anxiety and tremors induced by a simulated public speaking test in patients with Parkinson's disease [Internet]. Journal of Psychopharmacology. 2020 ; 34( 2):[citado 2024 abr. 24 ] Available from: https://doi.org/10.1177/0269881119895536
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ALCOBAÇA, Edesio et al. Explainable machine learning algorithms for predicting glass transition temperatures. Acta Materialia, v. 188, p. 92-100, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2020.01.047. Acesso em: 24 abr. 2024.
APA
Alcobaça, E., Mastelini, S. M., Botari, T., Pimentel, B. A., Cassar, D. R., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2020). Explainable machine learning algorithms for predicting glass transition temperatures. Acta Materialia, 188, 92-100. doi:10.1016/j.actamat.2020.01.047
NLM
Alcobaça E, Mastelini SM, Botari T, Pimentel BA, Cassar DR, Carvalho ACP de LF de, Zanotto ED. Explainable machine learning algorithms for predicting glass transition temperatures [Internet]. Acta Materialia. 2020 ; 188 92-100.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.actamat.2020.01.047
Vancouver
Alcobaça E, Mastelini SM, Botari T, Pimentel BA, Cassar DR, Carvalho ACP de LF de, Zanotto ED. Explainable machine learning algorithms for predicting glass transition temperatures [Internet]. Acta Materialia. 2020 ; 188 92-100.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.actamat.2020.01.047
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BEZERRA, Vanessa Munhoz Reina et al. Models for the two-dimensional level strip packing problem: a review and a computational evaluation. Journal of the Operational Research Society, v. 71, n. 4, p. 606-627, 2020Tradução . . Disponível em: https://doi.org/10.1080/01605682.2019.1578914. Acesso em: 24 abr. 2024.
APA
Bezerra, V. M. R., Leão, A. A. de S., Oliveira, J. F., & Santos, M. O. dos. (2020). Models for the two-dimensional level strip packing problem: a review and a computational evaluation. Journal of the Operational Research Society, 71( 4), 606-627. doi:10.1080/01605682.2019.1578914
NLM
Bezerra VMR, Leão AA de S, Oliveira JF, Santos MO dos. Models for the two-dimensional level strip packing problem: a review and a computational evaluation [Internet]. Journal of the Operational Research Society. 2020 ; 71( 4): 606-627.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/01605682.2019.1578914
Vancouver
Bezerra VMR, Leão AA de S, Oliveira JF, Santos MO dos. Models for the two-dimensional level strip packing problem: a review and a computational evaluation [Internet]. Journal of the Operational Research Society. 2020 ; 71( 4): 606-627.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/01605682.2019.1578914
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SANTOS, Fernando Pereira dos et al. Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, v. 132, p. 131-143, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2020.08.016. Acesso em: 24 abr. 2024.
APA
Santos, F. P. dos, Zor, C., Kittler, J., & Ponti, M. A. (2020). Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, 132, 131-143. doi:10.1016/j.neunet.2020.08.016
NLM
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Vancouver
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
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FAVA, Maria Clara et al. Improving flood forecasting using an input correction method in urban models in poorly gauged areas. Hydrological Sciences Journal, v. 65, n. 7, p. 1096-1111, 2020Tradução . . Disponível em: https://doi.org/10.1080/02626667.2020.1729984. Acesso em: 24 abr. 2024.
APA
Fava, M. C., Mazzoleni, M., Abe, N., Mendiondo, E. M., & Solomatine, D. P. (2020). Improving flood forecasting using an input correction method in urban models in poorly gauged areas. Hydrological Sciences Journal, 65( 7), 1096-1111. doi:10.1080/02626667.2020.1729984
NLM
Fava MC, Mazzoleni M, Abe N, Mendiondo EM, Solomatine DP. Improving flood forecasting using an input correction method in urban models in poorly gauged areas [Internet]. Hydrological Sciences Journal. 2020 ; 65( 7): 1096-1111.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/02626667.2020.1729984
Vancouver
Fava MC, Mazzoleni M, Abe N, Mendiondo EM, Solomatine DP. Improving flood forecasting using an input correction method in urban models in poorly gauged areas [Internet]. Hydrological Sciences Journal. 2020 ; 65( 7): 1096-1111.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1080/02626667.2020.1729984
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PADILHA, Victor Alexandre et al. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems. GigaScience, v. 9, n. 6, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1093/gigascience/giaa062. Acesso em: 24 abr. 2024.
APA
Padilha, V. A., Alkhnbashi, O. S., Shah, S. A., Carvalho, A. C. P. de L. F. de, & Backofen, R. (2020). CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems. GigaScience, 9( 6), 1-12. doi:10.1093/gigascience/giaa062
NLM
Padilha VA, Alkhnbashi OS, Shah SA, Carvalho ACP de LF de, Backofen R. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems [Internet]. GigaScience. 2020 ; 9( 6): 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1093/gigascience/giaa062
Vancouver
Padilha VA, Alkhnbashi OS, Shah SA, Carvalho ACP de LF de, Backofen R. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems [Internet]. GigaScience. 2020 ; 9( 6): 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1093/gigascience/giaa062
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VALEJO, Alan Demetrius Baria et al. A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowledge and Information Systems, v. 62, n. 4, p. 1641-1669, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10115-019-01411-9. Acesso em: 24 abr. 2024.
APA
Valejo, A. D. B., Goes, F. R. de, Romanetto, L. de M., Oliveira, M. C. F. de, & Lopes, A. de A. (2020). A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowledge and Information Systems, 62( 4), 1641-1669. doi:10.1007/s10115-019-01411-9
NLM
Valejo ADB, Goes FR de, Romanetto L de M, Oliveira MCF de, Lopes A de A. A benchmarking tool for the generation of bipartite network models with overlapping communities [Internet]. Knowledge and Information Systems. 2020 ; 62( 4): 1641-1669.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10115-019-01411-9
Vancouver
Valejo ADB, Goes FR de, Romanetto L de M, Oliveira MCF de, Lopes A de A. A benchmarking tool for the generation of bipartite network models with overlapping communities [Internet]. Knowledge and Information Systems. 2020 ; 62( 4): 1641-1669.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10115-019-01411-9