ReP USP - Resultado da busca

Artigo de periodico
Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market (2022)
Felizardo, Leonardo Kanashiro ; Brandimarte, Paolo; Del Moral Hernandez, Emilio ; Reali Costa, Anna Helena ; Matsumoto, Elia Yathie; Paiva, Francisco Caio Lima; Graves, Catharine de Vita
Source: Expert Systems with Applications. Unidade: EP
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 27 nov. 2025.
APA
Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Reali Costa, A. H., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 1-13. doi:10.1016/j.eswa.2022.117259
NLM
Felizardo LK, Brandimarte P, Del Moral Hernandez E, Reali Costa AH, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Vancouver
Felizardo LK, Brandimarte P, Del Moral Hernandez E, Reali Costa AH, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
Artigo de periodico
Forecasting US dollar exchange rate movement with computational models and human behavior (2022)
Matsumoto, Élia Yathie; Del Moral Hernandez, Emilio ; Yoshinaga, Claudia Emiko; Pinto, Afonso de Campos
Source: Expert Systems with Applications. Unidade: EP
Subjects: TAXA DE CÂMBIO, FINANÇAS, BEHAVIORISMO, APRENDIZADO COMPUTACIONAL
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ABNT
MATSUMOTO, Élia Yathie et al. Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, v. 194, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116521. Acesso em: 27 nov. 2025.
APA
Matsumoto, É. Y., Del Moral Hernandez, E., Yoshinaga, C. E., & Pinto, A. de C. (2022). Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, 194, 1-14. doi:10.1016/j.eswa.2022.116521
NLM
Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
Vancouver
Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
Parte de monografia/livro
How complex behavior emerges from spikes (2018)
Ranhel, João ; Del Moral Hernandez, Emilio ; Netto, Marcio Lobo
Source: Cognitive science: recent advances and recurring problems. Unidades: EP, RUSP
Assunto: COGNIÇÃO
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ABNT
RANHEL, João e DEL MORAL HERNANDEZ, Emilio e NETTO, Marcio Lobo. How complex behavior emerges from spikes. Cognitive science: recent advances and recurring problems. Tradução . Delaware: Vernon, 2018. . Disponível em: https://repositorio.usp.br/directbitstream/496b78f9-9f86-4274-9ed9-de752d1467e0/3204912.pdf. Acesso em: 27 nov. 2025.
APA
Ranhel, J., Del Moral Hernandez, E., & Netto, M. L. (2018). How complex behavior emerges from spikes. In Cognitive science: recent advances and recurring problems. Delaware: Vernon. Recuperado de https://repositorio.usp.br/directbitstream/496b78f9-9f86-4274-9ed9-de752d1467e0/3204912.pdf
NLM
Ranhel J, Del Moral Hernandez E, Netto ML. How complex behavior emerges from spikes [Internet]. In: Cognitive science: recent advances and recurring problems. Delaware: Vernon; 2018. [citado 2025 nov. 27 ] Available from: https://repositorio.usp.br/directbitstream/496b78f9-9f86-4274-9ed9-de752d1467e0/3204912.pdf
Vancouver
Ranhel J, Del Moral Hernandez E, Netto ML. How complex behavior emerges from spikes [Internet]. In: Cognitive science: recent advances and recurring problems. Delaware: Vernon; 2018. [citado 2025 nov. 27 ] Available from: https://repositorio.usp.br/directbitstream/496b78f9-9f86-4274-9ed9-de752d1467e0/3204912.pdf
Artigo de periodico
OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects (2018)
Sousa, Miguel Angelo de Abreu de; Del Moral Hernandez, Emilio ; Pires, Ricardo
Source: Neural Computing and Applications. Unidade: EP
Assunto: SISTEMAS EMBUTIDOS
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ABNT
SOUSA, Miguel Angelo de Abreu de e DEL MORAL HERNANDEZ, Emilio e PIRES, Ricardo. OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects. Neural Computing and Applications, v. 30, n. 12, p. 3759-3771, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00521-017-2957-0. Acesso em: 27 nov. 2025.
APA
Sousa, M. A. de A. de, Del Moral Hernandez, E., & Pires, R. (2018). OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects. Neural Computing and Applications, 30( 12), 3759-3771. doi:10.1007/s00521-017-2957-0
NLM
Sousa MA de A de, Del Moral Hernandez E, Pires R. OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects [Internet]. Neural Computing and Applications. 2018 ; 30( 12): 3759-3771.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s00521-017-2957-0
Vancouver
Sousa MA de A de, Del Moral Hernandez E, Pires R. OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects [Internet]. Neural Computing and Applications. 2018 ; 30( 12): 3759-3771.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s00521-017-2957-0
Artigo de periodico
Improving regression predictions using individual point reliability estimates based on critical error scenarios (2016)
Matsumoto, Élia Yathie; Del Moral Hernandez, Emilio
Source: Information Sciences. Unidade: EP
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZADO COMPUTACIONAL
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ABNT
MATSUMOTO, Élia Yathie e DEL MORAL HERNANDEZ, Emilio. Improving regression predictions using individual point reliability estimates based on critical error scenarios. Information Sciences, v. 374, p. 65-84, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.09.034. Acesso em: 27 nov. 2025.
APA
Matsumoto, É. Y., & Del Moral Hernandez, E. (2016). Improving regression predictions using individual point reliability estimates based on critical error scenarios. Information Sciences, 374, 65-84. doi:10.1016/j.ins.2016.09.034
NLM
Matsumoto ÉY, Del Moral Hernandez E. Improving regression predictions using individual point reliability estimates based on critical error scenarios [Internet]. Information Sciences. 2016 ; 374 65-84.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2016.09.034
Vancouver
Matsumoto ÉY, Del Moral Hernandez E. Improving regression predictions using individual point reliability estimates based on critical error scenarios [Internet]. Information Sciences. 2016 ; 374 65-84.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2016.09.034
Artigo de periodico
Architecture analysis of an FPGA-based hopfield neural network (2014)
Sousa, Miguel Angelo de Abreu de; Horta, Edson Lemos; Kofuji, Sergio Takeo ; Del Moral Hernandez, Emilio
Source: Advances in Artificial Neural Systems. Unidade: EP
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS
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ABNT
SOUSA, Miguel Angelo de Abreu de et al. Architecture analysis of an FPGA-based hopfield neural network. Advances in Artificial Neural Systems, v. 2014, p. 1-10, 2014Tradução . . Disponível em: https://doi.org/10.1155/2014/602325. Acesso em: 27 nov. 2025.
APA
Sousa, M. A. de A. de, Horta, E. L., Kofuji, S. T., & Del Moral Hernandez, E. (2014). Architecture analysis of an FPGA-based hopfield neural network. Advances in Artificial Neural Systems, 2014, 1-10. doi:10.1155/2014/602325
NLM
Sousa MA de A de, Horta EL, Kofuji ST, Del Moral Hernandez E. Architecture analysis of an FPGA-based hopfield neural network [Internet]. Advances in Artificial Neural Systems. 2014 ; 2014 1-10.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1155/2014/602325
Vancouver
Sousa MA de A de, Horta EL, Kofuji ST, Del Moral Hernandez E. Architecture analysis of an FPGA-based hopfield neural network [Internet]. Advances in Artificial Neural Systems. 2014 ; 2014 1-10.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1155/2014/602325
Artigo de periodico
Learning embedded data structure with self-organizing maps (2013)
Kitani, Edson Caoru; Del Moral Hernandez, Emilio ; Silva, Leandro Augusto da
Source: Advances in Intelligent Systems and Computing. Unidade: EP
Subjects: MAPAS, TOPOLOGIA
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ABNT
KITANI, Edson Caoru e DEL MORAL HERNANDEZ, Emilio e SILVA, Leandro Augusto da. Learning embedded data structure with self-organizing maps. Advances in Intelligent Systems and Computing, v. 198, p. 225-234, 2013Tradução . . Disponível em: https://doi.org/10.1007/978-3-642-35230-0_23. Acesso em: 27 nov. 2025.
APA
Kitani, E. C., Del Moral Hernandez, E., & Silva, L. A. da. (2013). Learning embedded data structure with self-organizing maps. Advances in Intelligent Systems and Computing, 198, 225-234. doi:10.1007/978-3-642-35230-0_23
NLM
Kitani EC, Del Moral Hernandez E, Silva LA da. Learning embedded data structure with self-organizing maps [Internet]. Advances in Intelligent Systems and Computing. 2013 ; 198 225-234.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-35230-0_23
Vancouver
Kitani EC, Del Moral Hernandez E, Silva LA da. Learning embedded data structure with self-organizing maps [Internet]. Advances in Intelligent Systems and Computing. 2013 ; 198 225-234.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-642-35230-0_23
Trabalho de evento
Digital image analysis to determine diameters distribution of nanofibers (2008)
Calíope, Priscila Braga; Del Moral Hernandez, Emilio ; Silva, Ana Neilde Rodrigues da
Source: SBMICRO 2008: Anais. Conference titles: International Symposium on Microelectronics Technology and Devices SBMICRO. Unidade: EP
Assunto: MICROELETRÔNICA
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ABNT
CALÍOPE, Priscila Braga e DEL MORAL HERNANDEZ, Emilio e SILVA, Ana Neilde Rodrigues da. Digital image analysis to determine diameters distribution of nanofibers. 2008, Anais.. Pennington: The Electrochemical Society, 2008. Disponível em: https://doi.org/10.1149/1.2956064. Acesso em: 27 nov. 2025.
APA
Calíope, P. B., Del Moral Hernandez, E., & Silva, A. N. R. da. (2008). Digital image analysis to determine diameters distribution of nanofibers. In SBMICRO 2008: Anais. Pennington: The Electrochemical Society. doi:10.1149/1.2956064
NLM
Calíope PB, Del Moral Hernandez E, Silva ANR da. Digital image analysis to determine diameters distribution of nanofibers [Internet]. SBMICRO 2008: Anais. 2008 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1149/1.2956064
Vancouver
Calíope PB, Del Moral Hernandez E, Silva ANR da. Digital image analysis to determine diameters distribution of nanofibers [Internet]. SBMICRO 2008: Anais. 2008 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1149/1.2956064
Trabalho de evento
Medical image categorization based on wavelet transform and self-organizing map (2007)
Silva, Leandro Augusto da; Moreno, Ramon Alfredo; Furuie, Sérgio Shiguemi ; Del Moral Hernandez, Emilio
Source: ISDA 2007: proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications. Unidade: EP
Assunto: IMAGEAMENTO (BIOENGENHARIA)
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ABNT
SILVA, Leandro Augusto da et al. Medical image categorization based on wavelet transform and self-organizing map. 2007, Anais.. New York: IEEE, 2007. Disponível em: https://doi.org/10.1109/ISDA.2007.100. Acesso em: 27 nov. 2025.
APA
Silva, L. A. da, Moreno, R. A., Furuie, S. S., & Del Moral Hernandez, E. (2007). Medical image categorization based on wavelet transform and self-organizing map. In ISDA 2007: proceedings. New York: IEEE. doi:10.1109/ISDA.2007.100
NLM
Silva LA da, Moreno RA, Furuie SS, Del Moral Hernandez E. Medical image categorization based on wavelet transform and self-organizing map [Internet]. ISDA 2007: proceedings. 2007 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ISDA.2007.100
Vancouver
Silva LA da, Moreno RA, Furuie SS, Del Moral Hernandez E. Medical image categorization based on wavelet transform and self-organizing map [Internet]. ISDA 2007: proceedings. 2007 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ISDA.2007.100
Trabalho de evento
CMOS encoder for scale-independent pattern recognition (2007)
Saldaña Pumarica, Julio ; Del Moral Hernandez, Emilio ; Silva Cárdenas, Carlos Bernardino
Source: SBCCI 2007: anais. Conference titles: Simpósio Brasileiro de Concepção de Circuitos Integrados. Unidade: EP
Assunto: CODIFICAÇÃO DA INFORMAÇÃO
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ABNT
SALDAÑA PUMARICA, Julio e DEL MORAL HERNANDEZ, Emilio e SILVA CÁRDENAS, Carlos Bernardino. CMOS encoder for scale-independent pattern recognition. 2007, Anais.. Porto Alegre: SBC, 2007. Disponível em: https://doi.org/10.1145/1284480.1284545. Acesso em: 27 nov. 2025.
APA
Saldaña Pumarica, J., Del Moral Hernandez, E., & Silva Cárdenas, C. B. (2007). CMOS encoder for scale-independent pattern recognition. In SBCCI 2007: anais. Porto Alegre: SBC. doi:10.1145/1284480.1284545
NLM
Saldaña Pumarica J, Del Moral Hernandez E, Silva Cárdenas CB. CMOS encoder for scale-independent pattern recognition [Internet]. SBCCI 2007: anais. 2007 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1145/1284480.1284545
Vancouver
Saldaña Pumarica J, Del Moral Hernandez E, Silva Cárdenas CB. CMOS encoder for scale-independent pattern recognition [Internet]. SBCCI 2007: anais. 2007 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1145/1284480.1284545
Trabalho de evento
Codificador CMOS orientado al reconocimiento de patrones con independencia de escala (2007)
Saldaña Pumarica, Julio ; Del Moral Hernandez, Emilio ; Silva Cárdenas, Carlos Bernardino
Source: IBERCHIP 2007: proceedings. Conference titles: IBERCHIP. Unidade: EP
Assunto: CODIFICAÇÃO DA INFORMAÇÃO
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ABNT
SALDAÑA PUMARICA, Julio e DEL MORAL HERNANDEZ, Emilio e SILVA CÁRDENAS, Carlos Bernardino. Codificador CMOS orientado al reconocimiento de patrones con independencia de escala. 2007, Anais.. Lima: PUC-Peru, 2007. . Acesso em: 27 nov. 2025.
APA
Saldaña Pumarica, J., Del Moral Hernandez, E., & Silva Cárdenas, C. B. (2007). Codificador CMOS orientado al reconocimiento de patrones con independencia de escala. In IBERCHIP 2007: proceedings. Lima: PUC-Peru.
NLM
Saldaña Pumarica J, Del Moral Hernandez E, Silva Cárdenas CB. Codificador CMOS orientado al reconocimiento de patrones con independencia de escala. IBERCHIP 2007: proceedings. 2007 ;[citado 2025 nov. 27 ]
Vancouver
Saldaña Pumarica J, Del Moral Hernandez E, Silva Cárdenas CB. Codificador CMOS orientado al reconocimiento de patrones con independencia de escala. IBERCHIP 2007: proceedings. 2007 ;[citado 2025 nov. 27 ]
Trabalho de evento
Pattern recovery in networks of recursive processing elements with continuous learning (2004)
Del Moral Hernandez, Emilio ; Sandmann, Humberto Rodrigo; Silva, Leandro Augusto da
Source: Proceedings. Conference titles: IEEE International Joint Conference on Neural Networks. Unidade: EP
Assunto: REDES NEURAIS
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ABNT
DEL MORAL HERNANDEZ, Emilio e SANDMANN, Humberto Rodrigo e SILVA, Leandro Augusto da. Pattern recovery in networks of recursive processing elements with continuous learning. 2004, Anais.. New York: IEEE, 2004. Disponível em: https://doi.org/10.1109/IJCNN.2004.1379877. Acesso em: 27 nov. 2025.
APA
Del Moral Hernandez, E., Sandmann, H. R., & Silva, L. A. da. (2004). Pattern recovery in networks of recursive processing elements with continuous learning. In Proceedings. New York: IEEE. doi:10.1109/IJCNN.2004.1379877
NLM
Del Moral Hernandez E, Sandmann HR, Silva LA da. Pattern recovery in networks of recursive processing elements with continuous learning [Internet]. Proceedings. 2004 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN.2004.1379877
Vancouver
Del Moral Hernandez E, Sandmann HR, Silva LA da. Pattern recovery in networks of recursive processing elements with continuous learning [Internet]. Proceedings. 2004 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN.2004.1379877
Trabalho de evento
Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures (2003)
Del Moral Hernandez, Emilio
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks. Unidade: EP
Assunto: REDES NEURAIS
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ABNT
DEL MORAL HERNANDEZ, Emilio. Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures. 2003, Anais.. New York: IEEE, 2003. Disponível em: https://doi.org/10.1109/IJCNN.2003.1223371. Acesso em: 27 nov. 2025.
APA
Del Moral Hernandez, E. (2003). Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures. In Proceedings. New York: IEEE. doi:10.1109/IJCNN.2003.1223371
NLM
Del Moral Hernandez E. Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures [Internet]. Proceedings. 2003 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN.2003.1223371
Vancouver
Del Moral Hernandez E. Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures [Internet]. Proceedings. 2003 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN.2003.1223371

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