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Tese (Doutorado)
Unsupervised Learning Approaches for Non-Stationary Data Streams (2021)
Garcia, Kemilly Dearo; Carvalho, André Carlos Ponce de Leon Ferreira de (Orientador)
Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS, REDES NEURAIS, APLICATIVOS MÓVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo. Unsupervised Learning Approaches for Non-Stationary Data Streams. 2021. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062021-161645/. Acesso em: 11 set. 2024.
APA
Garcia, K. D. (2021). Unsupervised Learning Approaches for Non-Stationary Data Streams (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062021-161645/
NLM
Garcia KD. Unsupervised Learning Approaches for Non-Stationary Data Streams [Internet]. 2021 ;[citado 2024 set. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062021-161645/
Vancouver
Garcia KD. Unsupervised Learning Approaches for Non-Stationary Data Streams [Internet]. 2021 ;[citado 2024 set. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062021-161645/
Artigo de periodico
An ensemble of autonomous auto-encoders for human activity recognition (2021)
Garcia, Kemilly Dearo ; Sá, Cláudio Rebelo de ; Poel, Mannes ; Carvalho, Tiago de ; Mendes-Moreira, João ; Cardoso, João Manuel Paiva ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Kok, Joost N
Source: Neurocomputing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing, v. 439, p. 271-280, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2020.01.125. Acesso em: 11 set. 2024.
APA
Garcia, K. D., Sá, C. R. de, Poel, M., Carvalho, T. de, Mendes-Moreira, J., Cardoso, J. M. P., et al. (2021). An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing, 439, 271-280. doi:10.1016/j.neucom.2020.01.125
NLM
Garcia KD, Sá CR de, Poel M, Carvalho T de, Mendes-Moreira J, Cardoso JMP, Carvalho ACP de LF de, Kok JN. An ensemble of autonomous auto-encoders for human activity recognition [Internet]. Neurocomputing. 2021 ; 439 271-280.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.neucom.2020.01.125
Vancouver
Garcia KD, Sá CR de, Poel M, Carvalho T de, Mendes-Moreira J, Cardoso JMP, Carvalho ACP de LF de, Kok JN. An ensemble of autonomous auto-encoders for human activity recognition [Internet]. Neurocomputing. 2021 ; 439 271-280.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.neucom.2020.01.125
Trabalho de evento-anais periodico
A study on hyperparameter configuration for human activity recognition (2020)
Garcia, Kemilly Dearo; Carvalho, Tiago; Moreira, João Mendes; Cardoso, João M. P; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Advances in Intelligent Systems and Computing. Conference titles: International Conference on Soft Computing Models in Industrial and Environmental Applications - SOCO. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO MÓVEL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. A study on hyperparameter configuration for human activity recognition. Advances in Intelligent Systems and Computing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-20055-8_5. Acesso em: 11 set. 2024. , 2020
APA
Garcia, K. D., Carvalho, T., Moreira, J. M., Cardoso, J. M. P., & Carvalho, A. C. P. de L. F. de. (2020). A study on hyperparameter configuration for human activity recognition. Advances in Intelligent Systems and Computing. Cham: Springer. doi:10.1007/978-3-030-20055-8_5
NLM
Garcia KD, Carvalho T, Moreira JM, Cardoso JMP, Carvalho ACP de LF de. A study on hyperparameter configuration for human activity recognition [Internet]. Advances in Intelligent Systems and Computing. 2020 ; 950 47-56.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-20055-8_5
Vancouver
Garcia KD, Carvalho T, Moreira JM, Cardoso JMP, Carvalho ACP de LF de. A study on hyperparameter configuration for human activity recognition [Internet]. Advances in Intelligent Systems and Computing. 2020 ; 950 47-56.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-20055-8_5
Trabalho de evento-anais periodico
Online clustering for novelty detection and concept drift in data streams (2019)
Garcia, Kemilly Dearo; Poel, Mannes ; Kok, Joost N ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. Online clustering for novelty detection and concept drift in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_37. Acesso em: 11 set. 2024. , 2019
APA
Garcia, K. D., Poel, M., Kok, J. N., & Carvalho, A. C. P. de L. F. de. (2019). Online clustering for novelty detection and concept drift in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_37
NLM
Garcia KD, Poel M, Kok JN, Carvalho ACP de LF de. Online clustering for novelty detection and concept drift in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 448-459.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_37
Vancouver
Garcia KD, Poel M, Kok JN, Carvalho ACP de LF de. Online clustering for novelty detection and concept drift in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 448-459.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_37
Trabalho de evento-anais periodico
A cluster-based prototype reduction for online classification (2018)
Garcia, Kemilly Dearo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Moreira, João Mendes
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE ESTATÍSTICA DE DADOS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo e CARVALHO, André Carlos Ponce de Leon Ferreira de e MOREIRA, João Mendes. A cluster-based prototype reduction for online classification. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-03493-1_63. Acesso em: 11 set. 2024. , 2018
APA
Garcia, K. D., Carvalho, A. C. P. de L. F. de, & Moreira, J. M. (2018). A cluster-based prototype reduction for online classification. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-03493-1_63
NLM
Garcia KD, Carvalho ACP de LF de, Moreira JM. A cluster-based prototype reduction for online classification [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 603-610.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63
Vancouver
Garcia KD, Carvalho ACP de LF de, Moreira JM. A cluster-based prototype reduction for online classification [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 603-610.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_63
Trabalho de evento-anais periodico
Unsupervised domain adaptation for human activity recognition (2018)
Barbosa, Paulo; Garcia, Kemilly Dearo; Moreira, João Mendes; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBOSA, Paulo et al. Unsupervised domain adaptation for human activity recognition. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-03493-1_65. Acesso em: 11 set. 2024. , 2018
APA
Barbosa, P., Garcia, K. D., Moreira, J. M., & Carvalho, A. C. P. de L. F. de. (2018). Unsupervised domain adaptation for human activity recognition. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-03493-1_65
NLM
Barbosa P, Garcia KD, Moreira JM, Carvalho ACP de LF de. Unsupervised domain adaptation for human activity recognition [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 623-630.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_65
Vancouver
Barbosa P, Garcia KD, Moreira JM, Carvalho ACP de LF de. Unsupervised domain adaptation for human activity recognition [Internet]. Lecture Notes in Computer Science. 2018 ; 11314 623-630.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/978-3-030-03493-1_65

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