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Artigo de periodico
Detecting mild cognitive impairment in narratives in brazilian portuguese: first steps towards a fully automated system (2018)
Treviso, Marcos Vinícius; Santos, Leandro Borges dos; Shulby, Christopher; Hübner, Lilian Cristiane; Mansur, Letícia Lessa; Aluísio, Sandra Maria
Source: Letras de Hoje. Unidades: FM, ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, COMPROMETIMENTO COGNITIVO LEVE, DIAGNÓSTICO CLÍNICO, ANÁLISE DO DISCURSO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TREVISO, Marcos Vinícius et al. Detecting mild cognitive impairment in narratives in brazilian portuguese: first steps towards a fully automated system. Letras de Hoje, v. 53, n. ja-mar. 2018, p. 48-58, 2018Tradução . . Disponível em: https://doi.org/10.15448/1984-7726.2018.1.30955. Acesso em: 16 nov. 2024.
APA
Treviso, M. V., Santos, L. B. dos, Shulby, C., Hübner, L. C., Mansur, L. L., & Aluísio, S. M. (2018). Detecting mild cognitive impairment in narratives in brazilian portuguese: first steps towards a fully automated system. Letras de Hoje, 53( ja-mar. 2018), 48-58. doi:10.15448/1984-7726.2018.1.30955
NLM
Treviso MV, Santos LB dos, Shulby C, Hübner LC, Mansur LL, Aluísio SM. Detecting mild cognitive impairment in narratives in brazilian portuguese: first steps towards a fully automated system [Internet]. Letras de Hoje. 2018 ; 53( ja-mar. 2018): 48-58.[citado 2024 nov. 16 ] Available from: https://doi.org/10.15448/1984-7726.2018.1.30955
Vancouver
Treviso MV, Santos LB dos, Shulby C, Hübner LC, Mansur LL, Aluísio SM. Detecting mild cognitive impairment in narratives in brazilian portuguese: first steps towards a fully automated system [Internet]. Letras de Hoje. 2018 ; 53( ja-mar. 2018): 48-58.[citado 2024 nov. 16 ] Available from: https://doi.org/10.15448/1984-7726.2018.1.30955
Trabalho de evento
Sentence segmentation in narrative transcripts from neuropsychological tests using recurrent convolutional neural networks (2017)
Treviso, Marcos Vinícius; Shulby, Christopher; Aluísio, Sandra Maria
Source: Proceedings : long papers. Conference titles: Conference of the European Chapter of the Association for Computational Linguistics. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES NEURAIS, TESTES NEUROPSICOLÓGICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TREVISO, Marcos Vinícius e SHULBY, Christopher e ALUÍSIO, Sandra Maria. Sentence segmentation in narrative transcripts from neuropsychological tests using recurrent convolutional neural networks. 2017, Anais.. Stroudsburg: Association for Computational Linguistics, 2017. Disponível em: http://www.aclweb.org/anthology/E17-1030. Acesso em: 16 nov. 2024.
APA
Treviso, M. V., Shulby, C., & Aluísio, S. M. (2017). Sentence segmentation in narrative transcripts from neuropsychological tests using recurrent convolutional neural networks. In Proceedings : long papers. Stroudsburg: Association for Computational Linguistics. Recuperado de http://www.aclweb.org/anthology/E17-1030
NLM
Treviso MV, Shulby C, Aluísio SM. Sentence segmentation in narrative transcripts from neuropsychological tests using recurrent convolutional neural networks [Internet]. Proceedings : long papers. 2017 ;[citado 2024 nov. 16 ] Available from: http://www.aclweb.org/anthology/E17-1030
Vancouver
Treviso MV, Shulby C, Aluísio SM. Sentence segmentation in narrative transcripts from neuropsychological tests using recurrent convolutional neural networks [Internet]. Proceedings : long papers. 2017 ;[citado 2024 nov. 16 ] Available from: http://www.aclweb.org/anthology/E17-1030
Trabalho de evento
A method for the extraction of phonetically-rich triphone sentences (2014)
Mendonça, Gustavo; Candeias, Sara; Perdigão, Fernando; Shulby, Christopher; Toniazzo, Rean; Klautau, Aldebaro; Aluísio, Sandra Maria
Source: Proceedings. Conference titles: International Telecommunications Symposium - ITS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDONÇA, Gustavo et al. A method for the extraction of phonetically-rich triphone sentences. 2014, Anais.. Red Hook: IEEE, 2014. Disponível em: https://doi.org/10.1109/ITS.2014.6947957. Acesso em: 16 nov. 2024.
APA
Mendonça, G., Candeias, S., Perdigão, F., Shulby, C., Toniazzo, R., Klautau, A., & Aluísio, S. M. (2014). A method for the extraction of phonetically-rich triphone sentences. In Proceedings. Red Hook: IEEE. doi:10.1109/ITS.2014.6947957
NLM
Mendonça G, Candeias S, Perdigão F, Shulby C, Toniazzo R, Klautau A, Aluísio SM. A method for the extraction of phonetically-rich triphone sentences [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ITS.2014.6947957
Vancouver
Mendonça G, Candeias S, Perdigão F, Shulby C, Toniazzo R, Klautau A, Aluísio SM. A method for the extraction of phonetically-rich triphone sentences [Internet]. Proceedings. 2014 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ITS.2014.6947957

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