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ABNT
DANG, Anh et al. What is in a rumour: combined visual analysis of rumour flow and user activity. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2949035.2949040. Acesso em: 24 abr. 2024.
APA
Dang, A., Moh'd, A., Milios, E., & Minghim, R. (2016). What is in a rumour: combined visual analysis of rumour flow and user activity. In Proceedings. New York: ACM. doi:10.1145/2949035.2949040
NLM
Dang A, Moh'd A, Milios E, Minghim R. What is in a rumour: combined visual analysis of rumour flow and user activity [Internet]. Proceedings. 2016 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/2949035.2949040
Vancouver
Dang A, Moh'd A, Milios E, Minghim R. What is in a rumour: combined visual analysis of rumour flow and user activity [Internet]. Proceedings. 2016 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/2949035.2949040
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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CANTAREIRA, Gabriel Dias e PAULOVICH, Fernando Vieira e ETEMAD, Elham. Visualizing learning space in neural network hidden layers. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009168901100121. Acesso em: 24 abr. 2024.
APA
Cantareira, G. D., Paulovich, F. V., & Etemad, E. (2020). Visualizing learning space in neural network hidden layers. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009168901100121
NLM
Cantareira GD, Paulovich FV, Etemad E. Visualizing learning space in neural network hidden layers [Internet]. Proceedings. 2020 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.5220/0009168901100121
Vancouver
Cantareira GD, Paulovich FV, Etemad E. Visualizing learning space in neural network hidden layers [Internet]. Proceedings. 2020 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.5220/0009168901100121
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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CABRAL, Eric Macedo e MILIOS, Evangelos E e MINGHIM, Rosane. Visual analysis of interactive document clustering streams. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3399715.3399962. Acesso em: 24 abr. 2024.
APA
Cabral, E. M., Milios, E. E., & Minghim, R. (2020). Visual analysis of interactive document clustering streams. In Proceedings. New York: ACM. doi:10.1145/3399715.3399962
NLM
Cabral EM, Milios EE, Minghim R. Visual analysis of interactive document clustering streams [Internet]. Proceedings. 2020 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/3399715.3399962
Vancouver
Cabral EM, Milios EE, Minghim R. Visual analysis of interactive document clustering streams [Internet]. Proceedings. 2020 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/3399715.3399962
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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DANG, Anh et al. Toward understanding how users respond to rumours in social media. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/ASONAM.2016.7752326. Acesso em: 24 abr. 2024.
APA
Dang, A., Smit, M., Moh'd, A., Minghim, R., & Milios, E. (2016). Toward understanding how users respond to rumours in social media. In Proceedings. Piscataway: IEEE. doi:10.1109/ASONAM.2016.7752326
NLM
Dang A, Smit M, Moh'd A, Minghim R, Milios E. Toward understanding how users respond to rumours in social media [Internet]. Proceedings. 2016 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/ASONAM.2016.7752326
Vancouver
Dang A, Smit M, Moh'd A, Minghim R, Milios E. Toward understanding how users respond to rumours in social media [Internet]. Proceedings. 2016 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/ASONAM.2016.7752326
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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FERREIRA, Martha Dais e MELLO, Rodrigo Fernandes de. Time complexity evaluation of cover song identification algorithms. Applied Acoustics, v. 175, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.apacoust.2020.107777. Acesso em: 24 abr. 2024.
APA
Ferreira, M. D., & Mello, R. F. de. (2021). Time complexity evaluation of cover song identification algorithms. Applied Acoustics, 175, 1-11. doi:10.1016/j.apacoust.2020.107777
NLM
Ferreira MD, Mello RF de. Time complexity evaluation of cover song identification algorithms [Internet]. Applied Acoustics. 2021 ; 175 1-11.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
Vancouver
Ferreira MD, Mello RF de. Time complexity evaluation of cover song identification algorithms [Internet]. Applied Acoustics. 2021 ; 175 1-11.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SIKANSI, Fábio Henrique Gomes et al. Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts. Algorithms, v. No 2020, n. 11, p. 1-27, 2020Tradução . . Disponível em: https://doi.org/10.3390/a13110290. Acesso em: 24 abr. 2024.
APA
Sikansi, F. H. G., Silva, R. R. O. da, Cantareira, G. D., Etemad, E., & Paulovich, F. V. (2020). Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts. Algorithms, No 2020( 11), 1-27. doi:10.3390/a13110290
NLM
Sikansi FHG, Silva RRO da, Cantareira GD, Etemad E, Paulovich FV. Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts [Internet]. Algorithms. 2020 ; No 2020( 11): 1-27.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/a13110290
Vancouver
Sikansi FHG, Silva RRO da, Cantareira GD, Etemad E, Paulovich FV. Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts [Internet]. Algorithms. 2020 ; No 2020( 11): 1-27.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/a13110290
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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DANG, Anh et al. Reddit temporal n-gram corpus and its applications on paraphrase and semantic similarity in social media using a topic-based latent semantic analysis. 2016, Anais.. Stroudsburg: Association for Computational Linguistics - ACL, 2016. Disponível em: https://aclweb.org/anthology/C/C16/C16-1335.pdf. Acesso em: 24 abr. 2024.
APA
Dang, A., Moh'd, A., Islam, A., Minghim, R., Smit, M., & Milios, E. (2016). Reddit temporal n-gram corpus and its applications on paraphrase and semantic similarity in social media using a topic-based latent semantic analysis. In Proceedings. Stroudsburg: Association for Computational Linguistics - ACL. Recuperado de https://aclweb.org/anthology/C/C16/C16-1335.pdf
NLM
Dang A, Moh'd A, Islam A, Minghim R, Smit M, Milios E. Reddit temporal n-gram corpus and its applications on paraphrase and semantic similarity in social media using a topic-based latent semantic analysis [Internet]. Proceedings. 2016 ;[citado 2024 abr. 24 ] Available from: https://aclweb.org/anthology/C/C16/C16-1335.pdf
Vancouver
Dang A, Moh'd A, Islam A, Minghim R, Smit M, Milios E. Reddit temporal n-gram corpus and its applications on paraphrase and semantic similarity in social media using a topic-based latent semantic analysis [Internet]. Proceedings. 2016 ;[citado 2024 abr. 24 ] Available from: https://aclweb.org/anthology/C/C16/C16-1335.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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MAZUMDAR, Dipankar e POPOLIN NETO, Mário e PAULOVICH, Fernando Vieira. Random forest similarity maps: a scalable visual representation for global and local interpretation. Electronics, v. 10, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.3390/electronics10222862. Acesso em: 24 abr. 2024.
APA
Mazumdar, D., Popolin Neto, M., & Paulovich, F. V. (2021). Random forest similarity maps: a scalable visual representation for global and local interpretation. Electronics, 10, 1-20. doi:10.3390/electronics10222862
NLM
Mazumdar D, Popolin Neto M, Paulovich FV. Random forest similarity maps: a scalable visual representation for global and local interpretation [Internet]. Electronics. 2021 ; 10 1-20.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/electronics10222862
Vancouver
Mazumdar D, Popolin Neto M, Paulovich FV. Random forest similarity maps: a scalable visual representation for global and local interpretation [Internet]. Electronics. 2021 ; 10 1-20.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/electronics10222862
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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SPADON, Gabriel et al. Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, v. 44, n. 9, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2021.3076155. Acesso em: 24 abr. 2024.
APA
Spadon, G., Hong, S., Machado, B. B., Matwin, S., Rodrigues Junior, J. F., & Sun, J. (2022). Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, 44( 9), Se 2022. doi:10.1109/TPAMI.2021.3076155
NLM
Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
Vancouver
Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
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SILVA, Andréa Martins da et al. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors. Pediatric Blood and Cancer. Hoboken: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1002/pbc.29349. Acesso em: 24 abr. 2024. , 2021
APA
Silva, A. M. da, Popolin Neto, M., Paulovich, F. V., Salomão, K. B., Silva, K. R. da, Veronez, L. C., et al. (2021). Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors. Pediatric Blood and Cancer. Hoboken: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1002/pbc.29349
NLM
Silva AM da, Popolin Neto M, Paulovich FV, Salomão KB, Silva KR da, Veronez LC, Silva Junior WA da, Valera ET, Scrideli CA, Tone LG. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors [Internet]. Pediatric Blood and Cancer. 2021 ; No 2021( S5): S541-542.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1002/pbc.29349
Vancouver
Silva AM da, Popolin Neto M, Paulovich FV, Salomão KB, Silva KR da, Veronez LC, Silva Junior WA da, Valera ET, Scrideli CA, Tone LG. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors [Internet]. Pediatric Blood and Cancer. 2021 ; No 2021( S5): S541-542.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1002/pbc.29349
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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FERREIRA, Martha Dais et al. Neural network training fingerprint: visual analytics of the training process in classification neural networks. Journal of Visualization, v. 25, n. 3, p. 593-612, 2022Tradução . . Disponível em: https://doi.org/10.1007/s12650-021-00809-4. Acesso em: 24 abr. 2024.
APA
Ferreira, M. D., Cantareira, G. D., Mello, R. F. de, & Paulovich, F. V. (2022). Neural network training fingerprint: visual analytics of the training process in classification neural networks. Journal of Visualization, 25( 3), 593-612. doi:10.1007/s12650-021-00809-4
NLM
Ferreira MD, Cantareira GD, Mello RF de, Paulovich FV. Neural network training fingerprint: visual analytics of the training process in classification neural networks [Internet]. Journal of Visualization. 2022 ; 25( 3): 593-612.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s12650-021-00809-4
Vancouver
Ferreira MD, Cantareira GD, Mello RF de, Paulovich FV. Neural network training fingerprint: visual analytics of the training process in classification neural networks [Internet]. Journal of Visualization. 2022 ; 25( 3): 593-612.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s12650-021-00809-4
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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SOARES, Andrey Coatrini et al. Microfluidic E-tongue to diagnose bovine mastitis with milk samples using machine learning with decision tree models. Chemical Engineering Journal, v. 451, n. Ja 2023, p. 138523-1-138523-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cej.2022.138523. Acesso em: 24 abr. 2024.
APA
Soares, A. C., Soares, J. C., Popolin Neto, M., Mello, S. S. de, Pinto, D. D. S. C., Carvalho, W. A., et al. (2023). Microfluidic E-tongue to diagnose bovine mastitis with milk samples using machine learning with decision tree models. Chemical Engineering Journal, 451( Ja 2023), 138523-1-138523-9. doi:10.1016/j.cej.2022.138523
NLM
Soares AC, Soares JC, Popolin Neto M, Mello SS de, Pinto DDSC, Carvalho WA, Gilmore MS, Piazzetta MH de O, Gobbi AL, Brandão H de M, Paulovich FV, Oliveira Junior ON de, Mattoso LHC. Microfluidic E-tongue to diagnose bovine mastitis with milk samples using machine learning with decision tree models [Internet]. Chemical Engineering Journal. 2023 ; 451( Ja 2023): 138523-1-138523-9.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.cej.2022.138523
Vancouver
Soares AC, Soares JC, Popolin Neto M, Mello SS de, Pinto DDSC, Carvalho WA, Gilmore MS, Piazzetta MH de O, Gobbi AL, Brandão H de M, Paulovich FV, Oliveira Junior ON de, Mattoso LHC. Microfluidic E-tongue to diagnose bovine mastitis with milk samples using machine learning with decision tree models [Internet]. Chemical Engineering Journal. 2023 ; 451( Ja 2023): 138523-1-138523-9.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.cej.2022.138523
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES JUNIOR, José Fernando et al. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00113. Acesso em: 24 abr. 2024.
APA
Rodrigues Junior, J. F., Spadon, G., Machado, B. B., & Amer-Yahia, S. (2020). Lig-Doctor: real-world clinical prognosis using a bi-directional neural network. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00113
NLM
Rodrigues Junior JF, Spadon G, Machado BB, Amer-Yahia S. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network [Internet]. Proceedings. 2020 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00113
Vancouver
Rodrigues Junior JF, Spadon G, Machado BB, Amer-Yahia S. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network [Internet]. Proceedings. 2020 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00113
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES JUNIOR, José Fernando et al. LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Information Sciences, v. 545, p. 813-827, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.09.024. Acesso em: 24 abr. 2024.
APA
Rodrigues Junior, J. F., Gutierrez, M. A., Spadon, G., Machado, B. B., & Amer-Yahia, S. (2021). LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Information Sciences, 545, 813-827. doi:10.1016/j.ins.2020.09.024
NLM
Rodrigues Junior JF, Gutierrez MA, Spadon G, Machado BB, Amer-Yahia S. LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks [Internet]. Information Sciences. 2021 ; 545 813-827.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ins.2020.09.024
Vancouver
Rodrigues Junior JF, Gutierrez MA, Spadon G, Machado BB, Amer-Yahia S. LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks [Internet]. Information Sciences. 2021 ; 545 813-827.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ins.2020.09.024
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHERKAT, Ehsan et al. Interactive document clustering revisited: a visual analytics approach. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3172944.3172964. Acesso em: 24 abr. 2024.
APA
Sherkat, E., Nourashrafeddin, S., Milios, E. E., & Minghim, R. (2018). Interactive document clustering revisited: a visual analytics approach. In Proceedings. New York: ACM. doi:10.1145/3172944.3172964
NLM
Sherkat E, Nourashrafeddin S, Milios EE, Minghim R. Interactive document clustering revisited: a visual analytics approach [Internet]. Proceedings. 2018 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/3172944.3172964
Vancouver
Sherkat E, Nourashrafeddin S, Milios EE, Minghim R. Interactive document clustering revisited: a visual analytics approach [Internet]. Proceedings. 2018 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/3172944.3172964
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Daniel Mário de et al. Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-06427-2_37. Acesso em: 24 abr. 2024. , 2022
APA
Lima, D. M. de, Graves, C. de V., Gutierrez, M. A., Machado, B. B., & Rodrigues Junior, J. F. (2022). Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-06427-2_37
NLM
Lima DM de, Graves C de V, Gutierrez MA, Machado BB, Rodrigues Junior JF. Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI [Internet]. Lecture Notes in Computer Science. 2022 ; 13231 438-450.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-031-06427-2_37
Vancouver
Lima DM de, Graves C de V, Gutierrez MA, Machado BB, Rodrigues Junior JF. Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI [Internet]. Lecture Notes in Computer Science. 2022 ; 13231 438-450.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-031-06427-2_37
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANTAREIRA, Gabriel Dias e ETEMAD, Elham e PAULOVICH, Fernando Vieira. Exploring neural network hidden layer activity using vector fields. Information, v. 11, n. 9, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.3390/info11090426. Acesso em: 24 abr. 2024.
APA
Cantareira, G. D., Etemad, E., & Paulovich, F. V. (2020). Exploring neural network hidden layer activity using vector fields. Information, 11( 9), Se 2020. doi:10.3390/info11090426
NLM
Cantareira GD, Etemad E, Paulovich FV. Exploring neural network hidden layer activity using vector fields [Internet]. Information. 2020 ; 11( 9): Se 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/info11090426
Vancouver
Cantareira GD, Etemad E, Paulovich FV. Exploring neural network hidden layer activity using vector fields [Internet]. Information. 2020 ; 11( 9): Se 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/info11090426
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARCÍLIO-JR, Wilson E et al. ExplorerTree: a focus+context exploration approach for 2D embeddings. Big Data Research, v. 25, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bdr.2021.100239. Acesso em: 24 abr. 2024.
APA
Marcílio-Jr, W. E., Eler, D. M., Paulovich, F. V., Rodrigues Junior, J. F., & Artero, A. O. (2021). ExplorerTree: a focus+context exploration approach for 2D embeddings. Big Data Research, 25, 1-12. doi:10.1016/j.bdr.2021.100239
NLM
Marcílio-Jr WE, Eler DM, Paulovich FV, Rodrigues Junior JF, Artero AO. ExplorerTree: a focus+context exploration approach for 2D embeddings [Internet]. Big Data Research. 2021 ; 25 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.bdr.2021.100239
Vancouver
Marcílio-Jr WE, Eler DM, Paulovich FV, Rodrigues Junior JF, Artero AO. ExplorerTree: a focus+context exploration approach for 2D embeddings [Internet]. Big Data Research. 2021 ; 25 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.bdr.2021.100239
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POPOLIN NETO, Mário e PAULOVICH, Fernando Vieira. Explainable matrix: visualization for global and local interpretability of random forest classification ensembles. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 2, p. 1427-1437, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.3030354. Acesso em: 24 abr. 2024.
APA
Popolin Neto, M., & Paulovich, F. V. (2021). Explainable matrix: visualization for global and local interpretability of random forest classification ensembles. IEEE Transactions on Visualization and Computer Graphics, 27( 2), 1427-1437. doi:10.1109/TVCG.2020.3030354
NLM
Popolin Neto M, Paulovich FV. Explainable matrix: visualization for global and local interpretability of random forest classification ensembles [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 1427-1437.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
Vancouver
Popolin Neto M, Paulovich FV. Explainable matrix: visualization for global and local interpretability of random forest classification ensembles [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 1427-1437.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Sherlon Almeida da e MILIOS, Evangelos E e OLIVEIRA, Maria Cristina Ferreira de. Evaluating visual analytics for text information retrieval. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3472301.3484320. Acesso em: 24 abr. 2024.
APA
Silva, S. A. da, Milios, E. E., & Oliveira, M. C. F. de. (2021). Evaluating visual analytics for text information retrieval. In Proceedings. New York: ACM. doi:10.1145/3472301.3484320
NLM
Silva SA da, Milios EE, Oliveira MCF de. Evaluating visual analytics for text information retrieval [Internet]. Proceedings. 2021 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/3472301.3484320
Vancouver
Silva SA da, Milios EE, Oliveira MCF de. Evaluating visual analytics for text information retrieval [Internet]. Proceedings. 2021 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1145/3472301.3484320