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Artigo de periodico
Microfluidic E-tongue to diagnose bovine mastitis with milk samples using machine learning with decision tree models (2023)
Soares, Andrey Coatrini ; Soares, Juliana Coatrini ; Popolin Neto, Mário ; Mello, Suelen Scarpa de; Pinto, Danielle Dos Santos Cinelli; Carvalho, Wanessa Araújo; Gilmore, Michael Shaffer; Piazzetta, Maria Helena de Oliveira; Gobbi, Angelo Luiz ; Brandão, Humberto de Mello; Paulovich, Fernando Vieira ; Oliveira Junior, Osvaldo Novais de ; Mattoso, Luiz Henrique Capparelli
Fonte: Chemical Engineering Journal. Unidades: IFSC, ICMC
Assuntos: MASTITE ANIMAL, ELETROQUÍMICA, APRENDIZADO COMPUTACIONAL, PECUÁRIA LEITEIRA, MONITORAMENTO AMBIENTAL, STAPHYLOCOCCUS, SENSOR
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ABNT
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1016/j.cej.2022.138523
Trabalho de evento
Addressing the gap between current language models and key-term-based clustering (2023)
Cabral, Eric Macedo ; Rezaeipourfarsangi, Sima ; Oliveira, Maria Cristina Ferreira de ; Milios, Evangelos E ; Minghim, Rosane
Fonte: Proceedings. Nome do evento: ACM Symposium on Document Engineering - DocEng. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, REDES NEURAIS, VISUALIZAÇÃO
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CABRAL, Eric Macedo et al. Addressing the gap between current language models and key-term-based clustering. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3573128.3604900. Acesso em: 25 ago. 2024.
APA
Cabral, E. M., Rezaeipourfarsangi, S., Oliveira, M. C. F. de, Milios, E. E., & Minghim, R. (2023). Addressing the gap between current language models and key-term-based clustering. In Proceedings. New York: ACM. doi:10.1145/3573128.3604900
NLM
Cabral EM, Rezaeipourfarsangi S, Oliveira MCF de, Milios EE, Minghim R. Addressing the gap between current language models and key-term-based clustering [Internet]. Proceedings. 2023 ;[citado 2024 ago. 25 ] Available from: https://doi.org/10.1145/3573128.3604900
Vancouver
Cabral EM, Rezaeipourfarsangi S, Oliveira MCF de, Milios EE, Minghim R. Addressing the gap between current language models and key-term-based clustering [Internet]. Proceedings. 2023 ;[citado 2024 ago. 25 ] Available from: https://doi.org/10.1145/3573128.3604900
Artigo de periodico
Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space (2022)
Soares, Juliana Coatrini ; Soares, Andrey Coatrini ; Popolin Neto, Mário ; Paulovich, Fernando Vieira ; Oliveira Junior, Osvaldo Novais de ; Mattoso, Luiz Henrique Capparelli
Fonte: Sensors and Actuators Reports. Unidades: ICMC, IFSC
Assuntos: APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA, MASTITE ANIMAL, PECUÁRIA LEITEIRA, STAPHYLOCOCCUS
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SOARES, Juliana Coatrini et al. Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space. Sensors and Actuators Reports, v. No 2022, p. 100083-1-100083-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.snr.2022.100083. Acesso em: 25 ago. 2024.
APA
Soares, J. C., Soares, A. C., Popolin Neto, M., Paulovich, F. V., Oliveira Junior, O. N. de, & Mattoso, L. H. C. (2022). Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space. Sensors and Actuators Reports, No 2022, 100083-1-100083-10. doi:10.1016/j.snr.2022.100083
NLM
Soares JC, Soares AC, Popolin Neto M, Paulovich FV, Oliveira Junior ON de, Mattoso LHC. Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space [Internet]. Sensors and Actuators Reports. 2022 ; No 2022 100083-1-100083-10.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.snr.2022.100083
Vancouver
Soares JC, Soares AC, Popolin Neto M, Paulovich FV, Oliveira Junior ON de, Mattoso LHC. Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space [Internet]. Sensors and Actuators Reports. 2022 ; No 2022 100083-1-100083-10.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.snr.2022.100083
Artigo de periodico
Pay attention to evolution: time series forecasting with deep graph-evolution learning (2022)
Spadon, Gabriel ; Hong, Shenda ; Machado, Bruno Brandoli ; Matwin, Stan ; Rodrigues Junior, José Fernando ; Sun, Jimeng
Fonte: IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. Unidade: ICMC
Assuntos: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
Artigo de periodico
Neural network training fingerprint: visual analytics of the training process in classification neural networks (2022)
Ferreira, Martha Dais ; Cantareira, Gabriel Dias ; Mello, Rodrigo Fernandes de ; Paulovich, Fernando Vieira
Fonte: Journal of Visualization. Unidade: ICMC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO
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ABNT
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1007/s12650-021-00809-4
Trabalho de evento-anais periodico
Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI (2022)
Lima, Daniel Mário de ; Graves, Catharine de Vita ; Gutierrez, Marco Antonio ; Machado, Bruno Brandoli ; Rodrigues Junior, José Fernando
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Image Analysis and Processing - ICIAP. Unidades: EP, ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, DIAGNÓSTICO POR IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, TESTES DE FUNÇÃO CARDÍACA
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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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1007/978-3-031-06427-2_37
Artigo de periodico
CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy (2022)
Rodrigues Junior, José Fernando ; Bailly, Sebastien ; Pepin, Jean-Louis ; Goeuriot, Lorraine ; Spadon, Gabriel ; Amer-Yahia, Sihem
Fonte: Applied Sciences. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TECNOLOGIAS DA SAÚDE, TRANSTORNOS DO SONO, APNEIA DO SONO
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ABNT
RODRIGUES JUNIOR, José Fernando et al. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy. Applied Sciences, v. 12, n. 15, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12157618. Acesso em: 25 ago. 2024.
APA
Rodrigues Junior, J. F., Bailly, S., Pepin, J. -L., Goeuriot, L., Spadon, G., & Amer-Yahia, S. (2022). CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy. Applied Sciences, 12( 15), 1-17. doi:10.3390/app12157618
NLM
Rodrigues Junior JF, Bailly S, Pepin J-L, Goeuriot L, Spadon G, Amer-Yahia S. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy [Internet]. Applied Sciences. 2022 ; 12( 15): 1-17.[citado 2024 ago. 25 ] Available from: https://doi.org/10.3390/app12157618
Vancouver
Rodrigues Junior JF, Bailly S, Pepin J-L, Goeuriot L, Spadon G, Amer-Yahia S. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy [Internet]. Applied Sciences. 2022 ; 12( 15): 1-17.[citado 2024 ago. 25 ] Available from: https://doi.org/10.3390/app12157618
Parte de monografia/livro
An encryption methodology for enabling the use of data warehouses on the cloud (2021)
Lopes, Claudivan Cruz; Times, Valéria Cesário ; Matwin, Stan ; Ciferri, Cristina Dutra de Aguiar ; Ciferri, Ricardo Rodrigues
Fonte: Research Anthology on Artificial Intelligence Applications in Security. Unidade: ICMC
Assuntos: BANCO DE DADOS DISTRIBUÍDOS, COMPUTAÇÃO EM NUVEM, SEGURANÇA DE REDES, CRIPTOLOGIA
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ABNT
LOPES, Claudivan Cruz et al. An encryption methodology for enabling the use of data warehouses on the cloud. Research Anthology on Artificial Intelligence Applications in Security. Tradução . Hershey: IGI Global, 2021. . Disponível em: https://doi.org/10.4018/978-1-7998-7705-9.ch026. Acesso em: 25 ago. 2024.
APA
Lopes, C. C., Times, V. C., Matwin, S., Ciferri, C. D. de A., & Ciferri, R. R. (2021). An encryption methodology for enabling the use of data warehouses on the cloud. In Research Anthology on Artificial Intelligence Applications in Security. Hershey: IGI Global. doi:10.4018/978-1-7998-7705-9.ch026
NLM
Lopes CC, Times VC, Matwin S, Ciferri CD de A, Ciferri RR. An encryption methodology for enabling the use of data warehouses on the cloud [Internet]. In: Research Anthology on Artificial Intelligence Applications in Security. Hershey: IGI Global; 2021. [citado 2024 ago. 25 ] Available from: https://doi.org/10.4018/978-1-7998-7705-9.ch026
Vancouver
Lopes CC, Times VC, Matwin S, Ciferri CD de A, Ciferri RR. An encryption methodology for enabling the use of data warehouses on the cloud [Internet]. In: Research Anthology on Artificial Intelligence Applications in Security. Hershey: IGI Global; 2021. [citado 2024 ago. 25 ] Available from: https://doi.org/10.4018/978-1-7998-7705-9.ch026
Artigo de periodico
Time complexity evaluation of cover song identification algorithms (2021)
Ferreira, Martha Dais ; Mello, Rodrigo Fernandes de
Fonte: Applied Acoustics. Unidade: ICMC
Assuntos: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS, MÚSICA
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ABNT
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
Artigo de periodico
DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage (2021)
Machado, Bruno Brandoli ; Spadon, Gabriel ; Esau, Travis ; Hennessy, Patrick ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Amer-Yahia, Sihem ; Rodrigues Junior, José Fernando
Fonte: Computers and Electronics in Agriculture. Unidade: ICMC
Assuntos: COMPUTAÇÃO MÓVEL, PROCESSAMENTO DE IMAGENS, AGRICULTURA DE PRECISÃO, PESTICIDAS
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MACHADO, Bruno Brandoli et al. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture, v. 180, n. Ja 2021, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105906. Acesso em: 25 ago. 2024.
APA
Machado, B. B., Spadon, G., Esau, T., Hennessy, P., Carvalho, A. C. P. de L. F. de, Amer-Yahia, S., & Rodrigues Junior, J. F. (2021). DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture, 180( Ja 2021), 1-9. doi:10.1016/j.compag.2020.105906
NLM
Machado BB, Spadon G, Esau T, Hennessy P, Carvalho ACP de LF de, Amer-Yahia S, Rodrigues Junior JF. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage [Internet]. Computers and Electronics in Agriculture. 2021 ; 180( Ja 2021): 1-9.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.compag.2020.105906
Vancouver
Machado BB, Spadon G, Esau T, Hennessy P, Carvalho ACP de LF de, Amer-Yahia S, Rodrigues Junior JF. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage [Internet]. Computers and Electronics in Agriculture. 2021 ; 180( Ja 2021): 1-9.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.compag.2020.105906
Artigo de periodico
ExplorerTree: a focus+context exploration approach for 2D embeddings (2021)
Marcílio-Jr, Wilson E ; Eler, Danilo Medeiros ; Paulovich, Fernando Vieira ; Rodrigues Junior, José Fernando ; Artero, Almir Olivette
Fonte: Big Data Research. Unidade: ICMC
Assuntos: VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES
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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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1016/j.bdr.2021.100239
Artigo de periodico
LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks (2021)
Rodrigues Junior, José Fernando ; Gutierrez, Marco Antonio ; Spadon, Gabriel ; Machado, Bruno Brandoli ; Amer-Yahia, Sihem
Fonte: Information Sciences. Unidades: ICMC, EP
Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), PROGNÓSTICO, TECNOLOGIAS DA SAÚDE
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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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1016/j.ins.2020.09.024
Artigo de periodico
Polymerization shrinkage stress, internal adaptation, and dentin bond strength of bulk-fill restorative materials (2021)
Mendonça, Beatriz Curvello de; Romano, Beatriz de Cassia; Sebold, Maicon; Fronza, Bruna Marin ; Braga, Roberto Ruggiero ; Nima, Gabriel; Price, Richard Bengt; Giannini, Marcelo
Fonte: International Journal of Adhesion and Adhesives. Unidade: FO
Assuntos: RESINAS COMPOSTAS, RESTAURAÇÃO DENTÁRIA, RESISTÊNCIA A TRAÇÃO
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ABNT
MENDONÇA, Beatriz Curvello de et al. Polymerization shrinkage stress, internal adaptation, and dentin bond strength of bulk-fill restorative materials. International Journal of Adhesion and Adhesives, v. 111, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ijadhadh.2021.102964. Acesso em: 25 ago. 2024.
APA
Mendonça, B. C. de, Romano, B. de C., Sebold, M., Fronza, B. M., Braga, R. R., Nima, G., et al. (2021). Polymerization shrinkage stress, internal adaptation, and dentin bond strength of bulk-fill restorative materials. International Journal of Adhesion and Adhesives, 111. doi:10.1016/j.ijadhadh.2021.102964
NLM
Mendonça BC de, Romano B de C, Sebold M, Fronza BM, Braga RR, Nima G, Price RB, Giannini M. Polymerization shrinkage stress, internal adaptation, and dentin bond strength of bulk-fill restorative materials [Internet]. International Journal of Adhesion and Adhesives. 2021 ; 111[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.ijadhadh.2021.102964
Vancouver
Mendonça BC de, Romano B de C, Sebold M, Fronza BM, Braga RR, Nima G, Price RB, Giannini M. Polymerization shrinkage stress, internal adaptation, and dentin bond strength of bulk-fill restorative materials [Internet]. International Journal of Adhesion and Adhesives. 2021 ; 111[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.ijadhadh.2021.102964
Artigo de periodico
A graph-based approach for positive and unlabeled learning (2021)
Carnevali, Julio César ; Rossi, Rafael Geraldeli ; Milios, Evangelos ; Lopes, Alneu de Andrade
Fonte: Information Sciences. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
CARNEVALI, Julio César et al. A graph-based approach for positive and unlabeled learning. Information Sciences, v. No 2021, p. 655-672, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.08.099. Acesso em: 25 ago. 2024.
APA
Carnevali, J. C., Rossi, R. G., Milios, E., & Lopes, A. de A. (2021). A graph-based approach for positive and unlabeled learning. Information Sciences, No 2021, 655-672. doi:10.1016/j.ins.2021.08.099
NLM
Carnevali JC, Rossi RG, Milios E, Lopes A de A. A graph-based approach for positive and unlabeled learning [Internet]. Information Sciences. 2021 ; No 2021 655-672.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.ins.2021.08.099
Vancouver
Carnevali JC, Rossi RG, Milios E, Lopes A de A. A graph-based approach for positive and unlabeled learning [Internet]. Information Sciences. 2021 ; No 2021 655-672.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.ins.2021.08.099
Trabalho de evento-resumo periodico
Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors (2021)
Silva, Andréa Martins da; Popolin Neto, Mário ; Paulovich, Fernando Vieira ; Salomão, Karina Bezerra; Silva, Keteryne Rodrigues da ; Veronez, Luciana Chain ; Silva Junior, Wilson Araújo da ; Valera, Elvis Terci; Scrideli, Carlos Alberto ; Tone, Luiz Gonzaga
Fonte: Pediatric Blood and Cancer. Nome do evento: Congress of the International Society of Paediatric Oncology - SIOP. Unidades: ICMC, FMRP, FCFRP
Assuntos: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, BIOMARCADORES, NEOPLASIAS, MEDULOBLASTOMA, CRIANÇAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1002/pbc.29349
Artigo de periodico
Consequences of ankle joint immobilisation: insights from a morphometric analysis about fibre typification, intramuscular connective tissue, and muscle spindle in rats (2021)
Mayer, William P; Baptista, Josemberg da S; Oliveira, Flavia De; Mori, Matsuyoshi; Liberti, Edson A
Fonte: Histochemistry and Cell Biology. Unidade: FO
Assuntos: FIBRAS MUSCULARES, MÚSCULOS, TECIDO CONJUNTIVO, FUSOS MUSCULARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAYER, William P et al. Consequences of ankle joint immobilisation: insights from a morphometric analysis about fibre typification, intramuscular connective tissue, and muscle spindle in rats. Histochemistry and Cell Biology, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00418-021-02027-3. Acesso em: 25 ago. 2024.
APA
Mayer, W. P., Baptista, J. da S., Oliveira, F. D., Mori, M., & Liberti, E. A. (2021). Consequences of ankle joint immobilisation: insights from a morphometric analysis about fibre typification, intramuscular connective tissue, and muscle spindle in rats. Histochemistry and Cell Biology, Se 2021. doi:10.1007/s00418-021-02027-3
NLM
Mayer WP, Baptista J da S, Oliveira FD, Mori M, Liberti EA. Consequences of ankle joint immobilisation: insights from a morphometric analysis about fibre typification, intramuscular connective tissue, and muscle spindle in rats [Internet]. Histochemistry and Cell Biology. 2021 ; Se 2021.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1007/s00418-021-02027-3
Vancouver
Mayer WP, Baptista J da S, Oliveira FD, Mori M, Liberti EA. Consequences of ankle joint immobilisation: insights from a morphometric analysis about fibre typification, intramuscular connective tissue, and muscle spindle in rats [Internet]. Histochemistry and Cell Biology. 2021 ; Se 2021.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1007/s00418-021-02027-3
Artigo de periodico
Explainable matrix: visualization for global and local interpretability of random forest classification ensembles (2021)
Popolin Neto, Mário ; Paulovich, Fernando Vieira
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Assuntos: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
Artigo de periodico
DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification (2021)
Lima, Daniel Mário de ; Rodrigues Junior, José Fernando ; Machado, Bruno Brandoli ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Fonte: SN Computer Science. Unidade: ICMC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, NEOPLASIAS CUTÂNEAS, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Daniel Mário de et al. DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification. SN Computer Science, v. 2, n. 4, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1007/s42979-021-00641-5. Acesso em: 25 ago. 2024.
APA
Lima, D. M. de, Rodrigues Junior, J. F., Machado, B. B., Goeuriot, L., & Amer-Yahia, S. (2021). DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification. SN Computer Science, 2( 4), 1-13. doi:10.1007/s42979-021-00641-5
NLM
Lima DM de, Rodrigues Junior JF, Machado BB, Goeuriot L, Amer-Yahia S. DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification [Internet]. SN Computer Science. 2021 ; 2( 4): 1-13.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1007/s42979-021-00641-5
Vancouver
Lima DM de, Rodrigues Junior JF, Machado BB, Goeuriot L, Amer-Yahia S. DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification [Internet]. SN Computer Science. 2021 ; 2( 4): 1-13.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1007/s42979-021-00641-5
Artigo de periodico
Random forest similarity maps: a scalable visual representation for global and local interpretation (2021)
Mazumdar, Dipankar ; Popolin Neto, Mário ; Paulovich, Fernando Vieira
Fonte: Electronics. Unidade: ICMC
Assuntos: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.3390/electronics10222862
Trabalho de evento
Evaluating visual analytics for text information retrieval (2021)
Silva, Sherlon Almeida da ; Milios, Evangelos E ; Oliveira, Maria Cristina Ferreira de
Fonte: Proceedings. Nome do evento: Brazilian Symposium on Human Factors in Computing Systems - IHC. Unidade: ICMC
Assuntos: VISUALIZAÇÃO, RECUPERAÇÃO DA INFORMAÇÃO
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: 25 ago. 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 ago. 25 ] 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 ago. 25 ] Available from: https://doi.org/10.1145/3472301.3484320

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