ReP USP - Resultado da busca

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: 06 jun. 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 jun. 06 ] 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 jun. 06 ] Available from: https://doi.org/10.3390/app12157618
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: 06 jun. 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 jun. 06 ] 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 jun. 06 ] Available from: https://doi.org/10.1016/j.ins.2020.09.024
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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ABNT
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: 06 jun. 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 jun. 06 ] 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 jun. 06 ] Available from: https://doi.org/10.1016/j.compag.2020.105906
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
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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: 06 jun. 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 jun. 06 ] 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 jun. 06 ] Available from: https://doi.org/10.1007/s42979-021-00641-5
Monografia/livro-ed/org
[Book of abstracts] (2021)
Arrieta, José María (Organizador) ; Carvalho, Alexandre Nolasco de (Organizador) ; Fiedler, Bernold (Organizador) ; Joly, Romain (Organizador) ; Rocha, Carlos (Organizador) ; Yi, Yingfei (Organizador)
Nome do evento: ICMC Summer Meeting on Differential Equations. Unidade: ICMC
Assunto: EQUAÇÕES DIFERENCIAIS
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ABNT
[Book of abstracts]. . São Carlos: ICMC-USP. Disponível em: http://summer.icmc.usp.br/summers/summer21/pg_abstract.php. Acesso em: 06 jun. 2024. , 2021
APA
[Book of abstracts]. (2021). [Book of abstracts]. São Carlos: ICMC-USP. Recuperado de http://summer.icmc.usp.br/summers/summer21/pg_abstract.php
NLM
[Book of abstracts] [Internet]. 2021 ;[citado 2024 jun. 06 ] Available from: http://summer.icmc.usp.br/summers/summer21/pg_abstract.php
Vancouver
[Book of abstracts] [Internet]. 2021 ;[citado 2024 jun. 06 ] Available from: http://summer.icmc.usp.br/summers/summer21/pg_abstract.php
Trabalho de evento
Lig-Doctor: real-world clinical prognosis using a bi-directional neural network (2020)
Rodrigues Junior, José Fernando ; Spadon, Gabriel ; Machado, Bruno Brandoli ; Amer-Yahia, Sihem
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), PROGNÓSTICO, TECNOLOGIAS DA SAÚDE
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: 06 jun. 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 jun. 06 ] 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 jun. 06 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00113
Trabalho de evento
DermaDL: advanced convolutional neural networks for automated melanoma detection (2020)
Rodrigues Junior, José Fernando ; Machado, Bruno Brandoli ; Amer-Yahia, Sihem
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. 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
RODRIGUES JUNIOR, José Fernando e MACHADO, Bruno Brandoli e AMER-YAHIA, Sihem. DermaDL: advanced convolutional neural networks for automated melanoma detection. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00101. Acesso em: 06 jun. 2024.
APA
Rodrigues Junior, J. F., Machado, B. B., & Amer-Yahia, S. (2020). DermaDL: advanced convolutional neural networks for automated melanoma detection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00101
NLM
Rodrigues Junior JF, Machado BB, Amer-Yahia S. DermaDL: advanced convolutional neural networks for automated melanoma detection [Internet]. Proceedings. 2020 ;[citado 2024 jun. 06 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00101
Vancouver
Rodrigues Junior JF, Machado BB, Amer-Yahia S. DermaDL: advanced convolutional neural networks for automated melanoma detection [Internet]. Proceedings. 2020 ;[citado 2024 jun. 06 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00101
Trabalho de evento-anais periodico
Inferring FSM models of systems without reset (2019)
Groz, Roland ; Simão, Adenilso da Silva ; Petrenko, Alexandre ; Oriat, Catherine
Fonte: Lecture Notes in Computer Science. Nome do evento: International Dagstuhl Seminar 16172. Unidade: ICMC
Assuntos: ALGORITMOS ÚTEIS E ESPECÍFICOS, ENGENHARIA DE SOFTWARE, MÉTODOS DE ENSINO
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ABNT
GROZ, Roland et al. Inferring FSM models of systems without reset. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-96562-8_7. Acesso em: 06 jun. 2024. , 2019
APA
Groz, R., Simão, A. da S., Petrenko, A., & Oriat, C. (2019). Inferring FSM models of systems without reset. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-96562-8_7
NLM
Groz R, Simão A da S, Petrenko A, Oriat C. Inferring FSM models of systems without reset [Internet]. Lecture Notes in Computer Science. 2019 ; 11026 178-201.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1007/978-3-319-96562-8_7
Vancouver
Groz R, Simão A da S, Petrenko A, Oriat C. Inferring FSM models of systems without reset [Internet]. Lecture Notes in Computer Science. 2019 ; 11026 178-201.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1007/978-3-319-96562-8_7
Artigo de periodico
The Psychological science accelerator:: advancing psychology through a distributed collaborative network (2018)
Moshontz, Hannah ; Campbell, Lorne ; Ebersole, Charles R; IJzerman, Hans; Urry, Heather L ; Forscher, Patrick S; Grahe, Jon E ; McCarthy, Randy J; Musser, Erica D; Antfolk, Jan ; Castille, Christopher M ; Evans, Thomas Rhys ; Fiedler, Susann; Flake, Jessica Kay; Forero, Diego A ; Janssen, Steve M. J ; Keene, Justin Robert ; Protzko, John; Aczel, Balazs; Solas, Sara Álvarez; Ansari, Daniel; Awlia, Dana; Baskin, Ernest ; Batres, Carlota ; Borras-Guevara, Martha Lucia; Brick, Cameron; Chandel, Priyanka; Chatard, Armand; Chopik, William J; Clarance, David; Coles, Nicholas A ; Corker, Katherine S ; Dixson, Barnaby James Wyld; Dranseika, Vilius ; Dunham, Yarrow ; Fox, Nicholas W; Gardiner, Gwendolyn; Garrison, S. Mason; Gill, Tripat ; Hahn, Amanda C ; Jaeger, Bastian ; Kačmár, Pavol ; Kaminski, Gwenaël ; Kanske, Philipp ; Kekecs, Zoltan ; Kline, Melissa; Koehn, Monica A ; Kujur, Pratibha; Levitan, Carmel A ; Miller, Jeremy K ; Okan, Ceylan; Olsen, Jerome ; Oviedo-Trespalacios, Oscar ; Özdoğru, Asil Ali ; Pande, Babita ; Parganiha, Arti; Parveen, Noorshama; Pfuhl, Gerit; Pradhan, Sraddha; Ropovik, Ivan ; Rule, Nicholas O; Saunders, Blair; Schei, Vidar ; Schmidt, Kathleen; Singh, Margaret Messiah; Sirota, Miroslav ; Steltenpohl, Crystal N ; Stieger, Stefan ; Storage, Daniel ; Sullivan, Gavin Brent ; Szabelska, Anna ; Tamnes, Christian K ; Vadillo, Miguel A; Valentova, Jaroslava Varella ; Vanpaemel, Wolf ; Varella, Marco Antonio Correa ; Vergauwe, Evie; Verschoor, Mark ; Vianello, Michelangelo ; Voracek, Martin; Williams, Glenn P ; Wilson, John Paul ; Zickfeld, Janis H ; Arnal, Jack D; Aydin, Burak ; Chen, Sau-Chin ; DeBruine, Lisa M ; Fernandez, Ana Maria; Horstmann, Kai T ; Isager, Peder M ; Jones, Benedict; Kapucu, Aycan; Lin, Hause ; Mensink, Michael C; Navarrete, Gorka ; Silan, Miguel A ; Chartier, Christopher R
Fonte: Advances in Methods and Practices in Psychological Science. Unidade: IP
Assuntos: PESQUISA CIENTÍFICA, TEORIAS DA PSICOLOGIA, COOPERAÇÃO INTERNACIONAL, PSICOLOGIA BASEADA EM EVIDÊNCIAS
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ABNT
MOSHONTZ, Hannah et al. The Psychological science accelerator:: advancing psychology through a distributed collaborative network. Advances in Methods and Practices in Psychological Science, v. 1, n. 4, p. 501-515, 2018Tradução . . Disponível em: https://doi.org/10.1177/2515245918797607. Acesso em: 06 jun. 2024.
APA
Moshontz, H., Campbell, L., Ebersole, C. R., IJzerman, H., Urry, H. L., Forscher, P. S., et al. (2018). The Psychological science accelerator:: advancing psychology through a distributed collaborative network. Advances in Methods and Practices in Psychological Science, 1( 4), 501-515. doi:10.1177/2515245918797607
NLM
Moshontz H, Campbell L, Ebersole CR, IJzerman H, Urry HL, Forscher PS, Grahe JE, McCarthy RJ, Musser ED, Antfolk J, Castille CM, Evans TR, Fiedler S, Flake JK, Forero DA, Janssen SMJ, Keene JR, Protzko J, Aczel B, Solas SÁ, Ansari D, Awlia D, Baskin E, Batres C, Borras-Guevara ML, Brick C, Chandel P, Chatard A, Chopik WJ, Clarance D, Coles NA, Corker KS, Dixson BJW, Dranseika V, Dunham Y, Fox NW, Gardiner G, Garrison SM, Gill T, Hahn AC, Jaeger B, Kačmár P, Kaminski G, Kanske P, Kekecs Z, Kline M, Koehn MA, Kujur P, Levitan CA, Miller JK, Okan C, Olsen J, Oviedo-Trespalacios O, Özdoğru AA, Pande B, Parganiha A, Parveen N, Pfuhl G, Pradhan S, Ropovik I, Rule NO, Saunders B, Schei V, Schmidt K, Singh MM, Sirota M, Steltenpohl CN, Stieger S, Storage D, Sullivan GB, Szabelska A, Tamnes CK, Vadillo MA, Valentova JV, Vanpaemel W, Varella MAC, Vergauwe E, Verschoor M, Vianello M, Voracek M, Williams GP, Wilson JP, Zickfeld JH, Arnal JD, Aydin B, Chen S-C, DeBruine LM, Fernandez AM, Horstmann KT, Isager PM, Jones B, Kapucu A, Lin H, Mensink MC, Navarrete G, Silan MA, Chartier CR. The Psychological science accelerator:: advancing psychology through a distributed collaborative network [Internet]. Advances in Methods and Practices in Psychological Science. 2018 ; 1( 4): 501-515.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1177/2515245918797607
Vancouver
Moshontz H, Campbell L, Ebersole CR, IJzerman H, Urry HL, Forscher PS, Grahe JE, McCarthy RJ, Musser ED, Antfolk J, Castille CM, Evans TR, Fiedler S, Flake JK, Forero DA, Janssen SMJ, Keene JR, Protzko J, Aczel B, Solas SÁ, Ansari D, Awlia D, Baskin E, Batres C, Borras-Guevara ML, Brick C, Chandel P, Chatard A, Chopik WJ, Clarance D, Coles NA, Corker KS, Dixson BJW, Dranseika V, Dunham Y, Fox NW, Gardiner G, Garrison SM, Gill T, Hahn AC, Jaeger B, Kačmár P, Kaminski G, Kanske P, Kekecs Z, Kline M, Koehn MA, Kujur P, Levitan CA, Miller JK, Okan C, Olsen J, Oviedo-Trespalacios O, Özdoğru AA, Pande B, Parganiha A, Parveen N, Pfuhl G, Pradhan S, Ropovik I, Rule NO, Saunders B, Schei V, Schmidt K, Singh MM, Sirota M, Steltenpohl CN, Stieger S, Storage D, Sullivan GB, Szabelska A, Tamnes CK, Vadillo MA, Valentova JV, Vanpaemel W, Varella MAC, Vergauwe E, Verschoor M, Vianello M, Voracek M, Williams GP, Wilson JP, Zickfeld JH, Arnal JD, Aydin B, Chen S-C, DeBruine LM, Fernandez AM, Horstmann KT, Isager PM, Jones B, Kapucu A, Lin H, Mensink MC, Navarrete G, Silan MA, Chartier CR. The Psychological science accelerator:: advancing psychology through a distributed collaborative network [Internet]. Advances in Methods and Practices in Psychological Science. 2018 ; 1( 4): 501-515.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1177/2515245918797607

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