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Trabalho de evento
Best modeling practices for optimal estimation of balanced and symmetric three-phase signals (2017)
Liboni, Luisa Helena Bartocci ; Silva, Ivan Nunes da ; Oliveira, Mauricio Carvalho de
Source: Proceedings. Conference titles: IEEE Power & Energy Society General Meeting. Unidades: EESC, EP
Subjects: FILTROS DE KALMAN, ENGENHARIA ELÉTRICA
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ABNT
LIBONI, Luisa Helena Bartocci e SILVA, Ivan Nunes da e OLIVEIRA, Mauricio Carvalho de. Best modeling practices for optimal estimation of balanced and symmetric three-phase signals. 2017, Anais.. Piscataway, NJ, USA: IEEE, 2017. . Acesso em: 16 dez. 2025.
APA
Liboni, L. H. B., Silva, I. N. da, & Oliveira, M. C. de. (2017). Best modeling practices for optimal estimation of balanced and symmetric three-phase signals. In Proceedings. Piscataway, NJ, USA: IEEE.
NLM
Liboni LHB, Silva IN da, Oliveira MC de. Best modeling practices for optimal estimation of balanced and symmetric three-phase signals. Proceedings. 2017 ;[citado 2025 dez. 16 ]
Vancouver
Liboni LHB, Silva IN da, Oliveira MC de. Best modeling practices for optimal estimation of balanced and symmetric three-phase signals. Proceedings. 2017 ;[citado 2025 dez. 16 ]
Trabalho de evento
Prefix and suffix invariant dynamic time warping (2016)
Silva, Diego Furtado ; Batista, Gustavo Enrique de Almeida Prado Alves; Keogh, Eamonn
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining - ICDM. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ALGORITMOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Diego Furtado e BATISTA, Gustavo Enrique de Almeida Prado Alves e KEOGH, Eamonn. Prefix and suffix invariant dynamic time warping. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICDM.2016.0161. Acesso em: 16 dez. 2025.
APA
Silva, D. F., Batista, G. E. de A. P. A., & Keogh, E. (2016). Prefix and suffix invariant dynamic time warping. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDM.2016.0161
NLM
Silva DF, Batista GE de APA, Keogh E. Prefix and suffix invariant dynamic time warping [Internet]. Proceedings. 2016 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1109/ICDM.2016.0161
Vancouver
Silva DF, Batista GE de APA, Keogh E. Prefix and suffix invariant dynamic time warping [Internet]. Proceedings. 2016 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1109/ICDM.2016.0161
Trabalho de evento
On the effect of endpoints on dynamic time warping (2016)
Silva, Diego Furtado ; Batista, Gustavo Enrique de Almeida Prado Alves; Keogh, Eamonn
Source: Proceedings. Conference titles: SIGKDD Workshop on Mining and Learning from Time Series - SIGKDD MiLeTS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
SILVA, Diego Furtado e BATISTA, Gustavo Enrique de Almeida Prado Alves e KEOGH, Eamonn. On the effect of endpoints on dynamic time warping. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/12345.67890. Acesso em: 16 dez. 2025.
APA
Silva, D. F., Batista, G. E. de A. P. A., & Keogh, E. (2016). On the effect of endpoints on dynamic time warping. In Proceedings. New York: ACM. doi:10.1145/12345.67890
NLM
Silva DF, Batista GE de APA, Keogh E. On the effect of endpoints on dynamic time warping [Internet]. Proceedings. 2016 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1145/12345.67890
Vancouver
Silva DF, Batista GE de APA, Keogh E. On the effect of endpoints on dynamic time warping [Internet]. Proceedings. 2016 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1145/12345.67890
Trabalho de evento
Applying machine learning and audio analysis techniques to insect recognition in intelligent traps (2013)
Silva, Diego Furtado ; Souza, Vinícius M. A. de; Batista, Gustavo Enrique de Almeida Prado Alves; Keogh, Eamonn; Ellis, Daniel P. W
Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
SILVA, Diego Furtado et al. Applying machine learning and audio analysis techniques to insect recognition in intelligent traps. 2013, Anais.. Los Alamitos: CPS/IEEE, 2013. Disponível em: https://doi.org/10.1109/ICMLA.2013.24. Acesso em: 16 dez. 2025.
APA
Silva, D. F., Souza, V. M. A. de, Batista, G. E. de A. P. A., Keogh, E., & Ellis, D. P. W. (2013). Applying machine learning and audio analysis techniques to insect recognition in intelligent traps. In Proceedings. Los Alamitos: CPS/IEEE. doi:10.1109/ICMLA.2013.24
NLM
Silva DF, Souza VMA de, Batista GE de APA, Keogh E, Ellis DPW. Applying machine learning and audio analysis techniques to insect recognition in intelligent traps [Internet]. Proceedings. 2013 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1109/ICMLA.2013.24
Vancouver
Silva DF, Souza VMA de, Batista GE de APA, Keogh E, Ellis DPW. Applying machine learning and audio analysis techniques to insect recognition in intelligent traps [Internet]. Proceedings. 2013 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1109/ICMLA.2013.24
Trabalho de evento
DTW-D: time series semi-supervised learning from a single example (2013)
Chen, Yanping; Hu, Bing; Keogh, Eamonn; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
CHEN, Yanping et al. DTW-D: time series semi-supervised learning from a single example. 2013, Anais.. New York: ACM, 2013. Disponível em: https://doi.org/10.1145/2487575.2487633. Acesso em: 16 dez. 2025.
APA
Chen, Y., Hu, B., Keogh, E., & Batista, G. E. de A. P. A. (2013). DTW-D: time series semi-supervised learning from a single example. In Proceedings. New York: ACM. doi:10.1145/2487575.2487633
NLM
Chen Y, Hu B, Keogh E, Batista GE de APA. DTW-D: time series semi-supervised learning from a single example [Internet]. Proceedings. 2013 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1145/2487575.2487633
Vancouver
Chen Y, Hu B, Keogh E, Batista GE de APA. DTW-D: time series semi-supervised learning from a single example [Internet]. Proceedings. 2013 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1145/2487575.2487633
Trabalho de evento
Data mining a trillion time series subsequences under dynamic time warping (2013)
Rakthanmanon, Thanawin; Campana, Bilson; Mueen, Abdullah; Batista, Gustavo Enrique de Almeida Prado Alves; Westover, Brandon; Qiang, Zhu; Zakaria, Jesin; Keogh, Eamonn
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAKTHANMANON, Thanawin et al. Data mining a trillion time series subsequences under dynamic time warping. 2013, Anais.. Menlo Park: AAAI Press, 2013. Disponível em: http://ijcai.org/papers13/Papers/IJCAI13-454.pdf. Acesso em: 16 dez. 2025.
APA
Rakthanmanon, T., Campana, B., Mueen, A., Batista, G. E. de A. P. A., Westover, B., Qiang, Z., et al. (2013). Data mining a trillion time series subsequences under dynamic time warping. In Proceedings. Menlo Park: AAAI Press. Recuperado de http://ijcai.org/papers13/Papers/IJCAI13-454.pdf
NLM
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Data mining a trillion time series subsequences under dynamic time warping [Internet]. Proceedings. 2013 ;[citado 2025 dez. 16 ] Available from: http://ijcai.org/papers13/Papers/IJCAI13-454.pdf
Vancouver
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Data mining a trillion time series subsequences under dynamic time warping [Internet]. Proceedings. 2013 ;[citado 2025 dez. 16 ] Available from: http://ijcai.org/papers13/Papers/IJCAI13-454.pdf
Trabalho de evento
A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets (2012)
Qiang, Zhu; Batista, Gustavo Enrique de Almeida Prado Alves; Rakthanmanon, Thanawin; Keogh, Eamonn
Source: Proceedings. Conference titles: SIAM International Conference on Data Mining. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QIANG, Zhu et al. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets. 2012, Anais.. Philadelphia: SIAM, 2012. Disponível em: http://siam.omnibooksonline.com/2012datamining/. Acesso em: 16 dez. 2025.
APA
Qiang, Z., Batista, G. E. de A. P. A., Rakthanmanon, T., & Keogh, E. (2012). A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets. In Proceedings. Philadelphia: SIAM. Recuperado de http://siam.omnibooksonline.com/2012datamining/
NLM
Qiang Z, Batista GE de APA, Rakthanmanon T, Keogh E. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets [Internet]. Proceedings. 2012 ;[citado 2025 dez. 16 ] Available from: http://siam.omnibooksonline.com/2012datamining/
Vancouver
Qiang Z, Batista GE de APA, Rakthanmanon T, Keogh E. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets [Internet]. Proceedings. 2012 ;[citado 2025 dez. 16 ] Available from: http://siam.omnibooksonline.com/2012datamining/
Trabalho de evento
Searching and mining trillions of time series subsequences under dynamic time warping (2012)
Rakthanmanon, Thanawin; Campana, Bilson; Mueen, Abdullah; Batista, Gustavo Enrique de Almeida Prado Alves; Westover, Brandon; Qiang, Zhu; Zakaria, Jesin; Keogh, Eamonn
Source: Proceedings. Conference titles: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAKTHANMANON, Thanawin et al. Searching and mining trillions of time series subsequences under dynamic time warping. 2012, Anais.. New York: ACM, 2012. Disponível em: https://doi.org/10.1145/2339530.2339576. Acesso em: 16 dez. 2025.
APA
Rakthanmanon, T., Campana, B., Mueen, A., Batista, G. E. de A. P. A., Westover, B., Qiang, Z., et al. (2012). Searching and mining trillions of time series subsequences under dynamic time warping. In Proceedings. New York: ACM. doi:10.1145/2339530.2339576
NLM
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Searching and mining trillions of time series subsequences under dynamic time warping [Internet]. Proceedings. 2012 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1145/2339530.2339576
Vancouver
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Searching and mining trillions of time series subsequences under dynamic time warping [Internet]. Proceedings. 2012 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1145/2339530.2339576
Trabalho de evento
Towards automatic classification on flying insects using inexpensive sensors (2011)
Batista, Gustavo Enrique de Almeida Prado Alves; Hao, Yuan; Keogh, Eamonn; Mafra-Neto, Agenor
Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATISTA, Gustavo Enrique de Almeida Prado Alves et al. Towards automatic classification on flying insects using inexpensive sensors. 2011, Anais.. Los Alamitos: IEEE Computer Society, 2011. Disponível em: https://doi.org/10.1109/ICMLA.2011.145. Acesso em: 16 dez. 2025.
APA
Batista, G. E. de A. P. A., Hao, Y., Keogh, E., & Mafra-Neto, A. (2011). Towards automatic classification on flying insects using inexpensive sensors. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ICMLA.2011.145
NLM
Batista GE de APA, Hao Y, Keogh E, Mafra-Neto A. Towards automatic classification on flying insects using inexpensive sensors [Internet]. Proceedings. 2011 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1109/ICMLA.2011.145
Vancouver
Batista GE de APA, Hao Y, Keogh E, Mafra-Neto A. Towards automatic classification on flying insects using inexpensive sensors [Internet]. Proceedings. 2011 ;[citado 2025 dez. 16 ] Available from: https://doi.org/10.1109/ICMLA.2011.145

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