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Trabalho de evento-anais periodico
Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques (2017)
Oliva, Jefferson Tales; Rosa, João Luís Garcia
Source: Lecture Notes in Artificial Intelligence. Conference titles: Banff International Research Station for Mathematical Innovation and Discovery Workshop - BIRS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ELETROENCEFALOGRAFIA, EPILEPSIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-69775-8_7. Acesso em: 16 nov. 2024. , 2017
APA
Oliva, J. T., & Rosa, J. L. G. (2017). Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-69775-8_7
NLM
Oliva JT, Rosa JLG. Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10344 134-145.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-69775-8_7
Vancouver
Oliva JT, Rosa JLG. Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10344 134-145.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-69775-8_7
Parte de monografia/livro
Differentiation between normal and epileptic EEG using k-nearest-neighbors technique (2016)
Oliva, Jefferson Tales; Rosa, João Luís Garcia
Source: Machine learning for health informatics : state-of-art and the future challenges. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, ELETROENCEFALOGRAFIA, EPILEPSIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Differentiation between normal and epileptic EEG using k-nearest-neighbors technique. Machine learning for health informatics : state-of-art and the future challenges. Tradução . Cham: Springer, 2016. . Disponível em: https://doi.org/10.1007/978-3-319-50478-0_7. Acesso em: 16 nov. 2024.
APA
Oliva, J. T., & Rosa, J. L. G. (2016). Differentiation between normal and epileptic EEG using k-nearest-neighbors technique. In Machine learning for health informatics : state-of-art and the future challenges. Cham: Springer. doi:10.1007/978-3-319-50478-0_7
NLM
Oliva JT, Rosa JLG. Differentiation between normal and epileptic EEG using k-nearest-neighbors technique [Internet]. In: Machine learning for health informatics : state-of-art and the future challenges. Cham: Springer; 2016. [citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-50478-0_7
Vancouver
Oliva JT, Rosa JLG. Differentiation between normal and epileptic EEG using k-nearest-neighbors technique [Internet]. In: Machine learning for health informatics : state-of-art and the future challenges. Cham: Springer; 2016. [citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-50478-0_7
Trabalho de evento-anais periodico
Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance (2016)
Oliva, Jefferson Tales; Rosa, João Luís Garcia
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, ELETROENCEFALOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-44778-0_35. Acesso em: 16 nov. 2024. , 2016
APA
Oliva, J. T., & Rosa, J. L. G. (2016). Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-44778-0_35
NLM
Oliva JT, Rosa JLG. Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance [Internet]. Lecture Notes in Computer Science. 2016 ; 9886 297-305.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-44778-0_35
Vancouver
Oliva JT, Rosa JLG. Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance [Internet]. Lecture Notes in Computer Science. 2016 ; 9886 297-305.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/978-3-319-44778-0_35

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