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Trabalho de evento
Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling (2025)
Pinto, Matheus Henrique de Cerqueira ; Silva, Nádia Felix Felipe da ; Souza, Ellen Polliana Ramos ; Albuquerque, Hidelberg Oliveira ; Dias, Márcio de Souza ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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ABNT
PINTO, Matheus Henrique de Cerqueira et al. Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.955. Acesso em: 12 dez. 2025.
APA
Pinto, M. H. de C., Silva, N. F. F. da, Souza, E. P. R., Albuquerque, H. O., Dias, M. de S., & Carvalho, A. C. P. de L. F. de. (2025). Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.955
NLM
Pinto MH de C, Silva NFF da, Souza EPR, Albuquerque HO, Dias M de S, Carvalho ACP de LF de. Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.955
Vancouver
Pinto MH de C, Silva NFF da, Souza EPR, Albuquerque HO, Dias M de S, Carvalho ACP de LF de. Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.955
Trabalho de evento
Opportunities and challenges for management and governance in smart cities in Brazil (2025)
Paseto, Luísa ; Corso, Márcia Regina Martins Martinez ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, CIDADES INTELIGENTES, GOVERNANÇA, POLÍTICAS PÚBLICAS
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PASETO, Luísa e CORSO, Márcia Regina Martins Martinez e CARVALHO, André Carlos Ponce de Leon Ferreira de. Opportunities and challenges for management and governance in smart cities in Brazil. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.1014. Acesso em: 12 dez. 2025.
APA
Paseto, L., Corso, M. R. M. M., & Carvalho, A. C. P. de L. F. de. (2025). Opportunities and challenges for management and governance in smart cities in Brazil. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.1014
NLM
Paseto L, Corso MRMM, Carvalho ACP de LF de. Opportunities and challenges for management and governance in smart cities in Brazil [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.1014
Vancouver
Paseto L, Corso MRMM, Carvalho ACP de LF de. Opportunities and challenges for management and governance in smart cities in Brazil [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.1014
Trabalho de evento
Applying active learning in named entity recognition corpora expansion in legal domain (2025)
Gouveia, Rafael Pereira ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Souza, Ellen Polliana Ramos ; Albuquerque, Hidelberg Oliveira ; Vitório, Douglas ; Silva, Nádia Felix Felipe da
Source: Proceedings. Conference titles: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL
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ABNT
GOUVEIA, Rafael Pereira et al. Applying active learning in named entity recognition corpora expansion in legal domain. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.945. Acesso em: 12 dez. 2025.
APA
Gouveia, R. P., Carvalho, A. C. P. de L. F. de, Souza, E. P. R., Albuquerque, H. O., Vitório, D., & Silva, N. F. F. da. (2025). Applying active learning in named entity recognition corpora expansion in legal domain. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.945
NLM
Gouveia RP, Carvalho ACP de LF de, Souza EPR, Albuquerque HO, Vitório D, Silva NFF da. Applying active learning in named entity recognition corpora expansion in legal domain [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.945
Vancouver
Gouveia RP, Carvalho ACP de LF de, Souza EPR, Albuquerque HO, Vitório D, Silva NFF da. Applying active learning in named entity recognition corpora expansion in legal domain [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.945
Trabalho de evento
Assessing rule-based document segmentation and word normalization for legal ruling classification (2025)
Godoi, Giliard Almeida de ; Rivolli, Adriano ; Freire, Daniela Lopes ; Pereira, Fabíola Souza Fernandes ; Ventura, Nubia Regina ; Almeida, Alex Marino de ; Garcia, Luís Paulo Faina ; Dias, Márcio de Souza ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, DECISÃO JUDICIAL
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ABNT
GODOI, Giliard Almeida de et al. Assessing rule-based document segmentation and word normalization for legal ruling classification. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.948. Acesso em: 12 dez. 2025.
APA
Godoi, G. A. de, Rivolli, A., Freire, D. L., Pereira, F. S. F., Ventura, N. R., Almeida, A. M. de, et al. (2025). Assessing rule-based document segmentation and word normalization for legal ruling classification. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.948
NLM
Godoi GA de, Rivolli A, Freire DL, Pereira FSF, Ventura NR, Almeida AM de, Garcia LPF, Dias M de S, Carvalho ACP de LF de. Assessing rule-based document segmentation and word normalization for legal ruling classification [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.948
Vancouver
Godoi GA de, Rivolli A, Freire DL, Pereira FSF, Ventura NR, Almeida AM de, Garcia LPF, Dias M de S, Carvalho ACP de LF de. Assessing rule-based document segmentation and word normalization for legal ruling classification [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.948
Trabalho de evento
Performance analysis of LLMs for abstractive summarization of brazilian legislative documents (2025)
Lucena, Danilo Carlos Gouveia de ; Souza, Ellen Polliana Ramos ; Albuquerque, Hidelberg Oliveira ; Silva, Nádia Felix Felipe da ; Oliveira, Adriano Lorena Inacio de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
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ABNT
LUCENA, Danilo Carlos Gouveia de et al. Performance analysis of LLMs for abstractive summarization of brazilian legislative documents. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.969. Acesso em: 12 dez. 2025.
APA
Lucena, D. C. G. de, Souza, E. P. R., Albuquerque, H. O., Silva, N. F. F. da, Oliveira, A. L. I. de, & Carvalho, A. C. P. de L. F. de. (2025). Performance analysis of LLMs for abstractive summarization of brazilian legislative documents. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.969
NLM
Lucena DCG de, Souza EPR, Albuquerque HO, Silva NFF da, Oliveira ALI de, Carvalho ACP de LF de. Performance analysis of LLMs for abstractive summarization of brazilian legislative documents [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.969
Vancouver
Lucena DCG de, Souza EPR, Albuquerque HO, Silva NFF da, Oliveira ALI de, Carvalho ACP de LF de. Performance analysis of LLMs for abstractive summarization of brazilian legislative documents [Internet]. Proceedings. 2025 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.59490/dgo.2025.969
Trabalho de evento
Nonparametric dimensionality reduction quality assessment based on sortedness of unrestricted neighborhood (2023)
Pereira-Santos, Davi ; Neves, Tácito Trindade de Araújo Tiburtino ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paulovich, Fernando Vieira
Source: Proceedings. Conference titles: EuroVis Workshop on Visual Analytics - EuroVA. Unidade: ICMC
Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
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ABNT
PEREIRA-SANTOS, Davi et al. Nonparametric dimensionality reduction quality assessment based on sortedness of unrestricted neighborhood. 2023, Anais.. Goslar: Eurographics Association, 2023. Disponível em: https://doi.org/10.2312/eurova.20231093. Acesso em: 12 dez. 2025.
APA
Pereira-Santos, D., Neves, T. T. de A. T., Carvalho, A. C. P. de L. F. de, & Paulovich, F. V. (2023). Nonparametric dimensionality reduction quality assessment based on sortedness of unrestricted neighborhood. In Proceedings. Goslar: Eurographics Association. doi:10.2312/eurova.20231093
NLM
Pereira-Santos D, Neves TT de AT, Carvalho ACP de LF de, Paulovich FV. Nonparametric dimensionality reduction quality assessment based on sortedness of unrestricted neighborhood [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.2312/eurova.20231093
Vancouver
Pereira-Santos D, Neves TT de AT, Carvalho ACP de LF de, Paulovich FV. Nonparametric dimensionality reduction quality assessment based on sortedness of unrestricted neighborhood [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.2312/eurova.20231093
Trabalho de evento
The strength of influence ties in stock networks: empirical analysis for portfolio selection (2023)
Ambiel, Thiago ; Castilho, Douglas; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS, MERCADO FINANCEIRO
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ABNT
AMBIEL, Thiago e CASTILHO, Douglas e CARVALHO, André Carlos Ponce de Leon Ferreira de. The strength of influence ties in stock networks: empirical analysis for portfolio selection. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICDMW60847.2023.00066. Acesso em: 12 dez. 2025.
APA
Ambiel, T., Castilho, D., & Carvalho, A. C. P. de L. F. de. (2023). The strength of influence ties in stock networks: empirical analysis for portfolio selection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW60847.2023.00066
NLM
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Vancouver
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Trabalho de evento
Feature selection using complex networks to support price trend forecast in energy markets (2023)
Castilho, Douglas; Santos, Moises Rocha dos ; Tinós, Renato ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paula, Marcos Basile Saviano de; Ladeira, Lucas; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Macedo Junior, Edmur A; Alipio, Lucas P
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA
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ABNT
CASTILHO, Douglas et al. Feature selection using complex networks to support price trend forecast in energy markets. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191426. Acesso em: 12 dez. 2025.
APA
Castilho, D., Santos, M. R. dos, Tinós, R., Carvalho, A. C. P. de L. F. de, Paula, M. B. S. de, Ladeira, L., et al. (2023). Feature selection using complex networks to support price trend forecast in energy markets. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191426
NLM
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Vancouver
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Trabalho de evento
Multi-agent city expansion with land use and transport (2023)
Santos, Luiz Fernando Silva Eugenio dos ; Aranha, Claus ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Conference on Artificial Life - ALIFE. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PLANEJAMENTO TERRITORIAL URBANO, TRANSPORTE URBANO
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ABNT
SANTOS, Luiz Fernando Silva Eugenio dos e ARANHA, Claus e CARVALHO, André Carlos Ponce de Leon Ferreira de. Multi-agent city expansion with land use and transport. 2023, Anais.. Cambridge: MIT Press, 2023. Disponível em: https://doi.org/10.1162/isal_a_00675. Acesso em: 12 dez. 2025.
APA
Santos, L. F. S. E. dos, Aranha, C., & Carvalho, A. C. P. de L. F. de. (2023). Multi-agent city expansion with land use and transport. In Proceedings. Cambridge: MIT Press. doi:10.1162/isal_a_00675
NLM
Santos LFSE dos, Aranha C, Carvalho ACP de LF de. Multi-agent city expansion with land use and transport [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1162/isal_a_00675
Vancouver
Santos LFSE dos, Aranha C, Carvalho ACP de LF de. Multi-agent city expansion with land use and transport [Internet]. Proceedings. 2023 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1162/isal_a_00675
Trabalho de evento
Machine learning approach for trend prediction to improve returns on brazilian energy market (2022)
Santos, Moises Rocha dos ; Braz, Douglas Donizeti de Castilho; Carvalho, André Carlos Ponce de Leon Ferreira de ; Tinós, Renato ; Paula, Marcos Basile Saviano de; Doretto, Gabriel; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Ferreira, Lorena E; Carmo Junior, José E
Source: Proceedings. Conference titles: IEEE Latin American Conference on Computational Intelligence - LA-CCI. Unidades: ICMC, FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA, POLÍTICA DE PREÇO
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ABNT
SANTOS, Moises Rocha dos et al. Machine learning approach for trend prediction to improve returns on brazilian energy market. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/LA-CCI54402.2022.9981846. Acesso em: 12 dez. 2025.
APA
Santos, M. R. dos, Braz, D. D. de C., Carvalho, A. C. P. de L. F. de, Tinós, R., Paula, M. B. S. de, Doretto, G., et al. (2022). Machine learning approach for trend prediction to improve returns on brazilian energy market. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LA-CCI54402.2022.9981846
NLM
Santos MR dos, Braz DD de C, Carvalho ACP de LF de, Tinós R, Paula MBS de, Doretto G, Guarnier E, Silva Filho D, Suiama DY, Ferreira LE, Carmo Junior JE. Machine learning approach for trend prediction to improve returns on brazilian energy market [Internet]. Proceedings. 2022 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/LA-CCI54402.2022.9981846
Vancouver
Santos MR dos, Braz DD de C, Carvalho ACP de LF de, Tinós R, Paula MBS de, Doretto G, Guarnier E, Silva Filho D, Suiama DY, Ferreira LE, Carmo Junior JE. Machine learning approach for trend prediction to improve returns on brazilian energy market [Internet]. Proceedings. 2022 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/LA-CCI54402.2022.9981846
Trabalho de evento
Fast and lightweight binary and multi-branch Hoeffding tree regressors (2021)
Mastelini, Saulo Martiello ; Montiel, Jacob ; Gomes, Heitor Murilo ; Bifet, Albert ; Pfahringer, Bernhard ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
MASTELINI, Saulo Martiello et al. Fast and lightweight binary and multi-branch Hoeffding tree regressors. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICDMW53433.2021.00053. Acesso em: 12 dez. 2025.
APA
Mastelini, S. M., Montiel, J., Gomes, H. M., Bifet, A., Pfahringer, B., & Carvalho, A. C. P. de L. F. de. (2021). Fast and lightweight binary and multi-branch Hoeffding tree regressors. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW53433.2021.00053
NLM
Mastelini SM, Montiel J, Gomes HM, Bifet A, Pfahringer B, Carvalho ACP de LF de. Fast and lightweight binary and multi-branch Hoeffding tree regressors [Internet]. Proceedings. 2021 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/ICDMW53433.2021.00053
Vancouver
Mastelini SM, Montiel J, Gomes HM, Bifet A, Pfahringer B, Carvalho ACP de LF de. Fast and lightweight binary and multi-branch Hoeffding tree regressors [Internet]. Proceedings. 2021 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/ICDMW53433.2021.00053
Trabalho de evento
Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series (2021)
Silvestre, Gabriel Dalforno; Santos, Moises Rocha dos ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
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ABNT
SILVESTRE, Gabriel Dalforno e SANTOS, Moises Rocha dos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/IJCNN52387.2021.9533644. Acesso em: 12 dez. 2025.
APA
Silvestre, G. D., Santos, M. R. dos, & Carvalho, A. C. P. de L. F. de. (2021). Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN52387.2021.9533644
NLM
Silvestre GD, Santos MR dos, Carvalho ACP de LF de. Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series [Internet]. Proceedings. 2021 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533644
Vancouver
Silvestre GD, Santos MR dos, Carvalho ACP de LF de. Seasonal-trend decomposition based on Loess + machine learning: hybrid forecasting for monthly univariate time series [Internet]. Proceedings. 2021 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533644
Trabalho de evento
Selecting the most relevant features for the identification of long non-coding RNAs in plants (2019)
Bonidia, Robson P ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, RNA
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ABNT
BONIDIA, Robson P et al. Selecting the most relevant features for the identification of long non-coding RNAs in plants. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00100. Acesso em: 12 dez. 2025.
APA
Bonidia, R. P., Carvalho, A. C. P. de L. F. de, Paschoal, A. R., & Sanches, D. S. (2019). Selecting the most relevant features for the identification of long non-coding RNAs in plants. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00100
NLM
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Vancouver
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Trabalho de evento
Explainable machine learning for breast cancer diagnosis (2019)
Brito-Sarracino, Tamires ; Santos, Moises Rocha dos ; Antunes, Eric Freire ; Santos, Iury Batista de Andrade; Kasmanas, Jonas Coelho ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, NEOPLASIAS MAMÁRIAS, TECNOLOGIAS DA SAÚDE
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ABNT
BRITO-SARRACINO, Tamires et al. Explainable machine learning for breast cancer diagnosis. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00124. Acesso em: 12 dez. 2025.
APA
Brito-Sarracino, T., Santos, M. R. dos, Antunes, E. F., Santos, I. B. de A., Kasmanas, J. C., & Carvalho, A. C. P. de L. F. de. (2019). Explainable machine learning for breast cancer diagnosis. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00124
NLM
Brito-Sarracino T, Santos MR dos, Antunes EF, Santos IB de A, Kasmanas JC, Carvalho ACP de LF de. Explainable machine learning for breast cancer diagnosis [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00124
Vancouver
Brito-Sarracino T, Santos MR dos, Antunes EF, Santos IB de A, Kasmanas JC, Carvalho ACP de LF de. Explainable machine learning for breast cancer diagnosis [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00124
Trabalho de evento
The influence of sampling on imbalanced data classification (2019)
Barella, Victor Hugo ; Garcia, Luís Paulo Faina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, RECONHECIMENTO DE PADRÕES, MATEMÁTICA DA COMPUTAÇÃO
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ABNT
BARELLA, Victor Hugo e GARCIA, Luís Paulo Faina e CARVALHO, André Carlos Ponce de Leon Ferreira de. The influence of sampling on imbalanced data classification. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00045. Acesso em: 12 dez. 2025.
APA
Barella, V. H., Garcia, L. P. F., & Carvalho, A. C. P. de L. F. de. (2019). The influence of sampling on imbalanced data classification. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00045
NLM
Barella VH, Garcia LPF, Carvalho ACP de LF de. The influence of sampling on imbalanced data classification [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00045
Vancouver
Barella VH, Garcia LPF, Carvalho ACP de LF de. The influence of sampling on imbalanced data classification [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00045
Trabalho de evento
Fraud detection using explainable machine learning algorithms (2019)
Andrade, Luciano Carli Moreira de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Machine Learning and Data Mining - MLDM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, FRAUDE BANCÁRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, Luciano Carli Moreira de e CARVALHO, André Carlos Ponce de Leon Ferreira de. Fraud detection using explainable machine learning algorithms. 2019, Anais.. Leipzig: Ibai Publishing, 2019. Disponível em: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf. Acesso em: 12 dez. 2025.
APA
Andrade, L. C. M. de, & Carvalho, A. C. P. de L. F. de. (2019). Fraud detection using explainable machine learning algorithms. In Proceedings. Leipzig: Ibai Publishing. Recuperado de http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
NLM
Andrade LCM de, Carvalho ACP de LF de. Fraud detection using explainable machine learning algorithms [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
Vancouver
Andrade LCM de, Carvalho ACP de LF de. Fraud detection using explainable machine learning algorithms [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: http://www.ibai-publishing.org/html/proceedings_2019/proceedings_book_MLDM_2019_Volume_1.pdf
Trabalho de evento
Qualitative data clustering: a new integer linear programming model (2019)
Lorena, Luiz Henrique Nogueira ; Quiles, Marcos Gonçalves ; Lorena, Luiz Antonio Nogueira ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Cespedes, Juliana Garcia
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: PROGRAMAÇÃO LINEAR, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LORENA, Luiz Henrique Nogueira et al. Qualitative data clustering: a new integer linear programming model. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IJCNN.2019.8851969. Acesso em: 12 dez. 2025.
APA
Lorena, L. H. N., Quiles, M. G., Lorena, L. A. N., Carvalho, A. C. P. de L. F. de, & Cespedes, J. G. (2019). Qualitative data clustering: a new integer linear programming model. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2019.8851969
NLM
Lorena LHN, Quiles MG, Lorena LAN, Carvalho ACP de LF de, Cespedes JG. Qualitative data clustering: a new integer linear programming model [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN.2019.8851969
Vancouver
Lorena LHN, Quiles MG, Lorena LAN, Carvalho ACP de LF de, Cespedes JG. Qualitative data clustering: a new integer linear programming model [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN.2019.8851969
Trabalho de evento
Unsupervised meta-learning for clustering algorithm recommendation (2019)
Pimentel, Bruno Almeida; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIMENTEL, Bruno Almeida e CARVALHO, André Carlos Ponce de Leon Ferreira de. Unsupervised meta-learning for clustering algorithm recommendation. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IJCNN.2019.8851989. Acesso em: 12 dez. 2025.
APA
Pimentel, B. A., & Carvalho, A. C. P. de L. F. de. (2019). Unsupervised meta-learning for clustering algorithm recommendation. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2019.8851989
NLM
Pimentel BA, Carvalho ACP de LF de. Unsupervised meta-learning for clustering algorithm recommendation [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN.2019.8851989
Vancouver
Pimentel BA, Carvalho ACP de LF de. Unsupervised meta-learning for clustering algorithm recommendation [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/IJCNN.2019.8851989
Trabalho de evento
Online local boosting: improving performance in online decision trees (2019)
Costa, Victor Guilherme Turrisi da ; Mastelini, Saulo Martiello ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Barbon Júnior, Sylvio
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Victor Guilherme Turrisi da et al. Online local boosting: improving performance in online decision trees. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00032. Acesso em: 12 dez. 2025.
APA
Costa, V. G. T. da, Mastelini, S. M., Carvalho, A. C. P. de L. F. de, & Barbon Júnior, S. (2019). Online local boosting: improving performance in online decision trees. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00032
NLM
Costa VGT da, Mastelini SM, Carvalho ACP de LF de, Barbon Júnior S. Online local boosting: improving performance in online decision trees [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00032
Vancouver
Costa VGT da, Mastelini SM, Carvalho ACP de LF de, Barbon Júnior S. Online local boosting: improving performance in online decision trees [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1109/BRACIS.2019.00032
Trabalho de evento
A non-negative matrix factorization approach to update communities in temporal networks using node features (2019)
Márquez, Renny; Weber, Richard; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, FATORIZAÇÃO DE MATRIZES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MÁRQUEZ, Renny e WEBER, Richard e CARVALHO, André Carlos Ponce de Leon Ferreira de. A non-negative matrix factorization approach to update communities in temporal networks using node features. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3341161.3343677. Acesso em: 12 dez. 2025.
APA
Márquez, R., Weber, R., & Carvalho, A. C. P. de L. F. de. (2019). A non-negative matrix factorization approach to update communities in temporal networks using node features. In Proceedings. New York: ACM. doi:10.1145/3341161.3343677
NLM
Márquez R, Weber R, Carvalho ACP de LF de. A non-negative matrix factorization approach to update communities in temporal networks using node features [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1145/3341161.3343677
Vancouver
Márquez R, Weber R, Carvalho ACP de LF de. A non-negative matrix factorization approach to update communities in temporal networks using node features [Internet]. Proceedings. 2019 ;[citado 2025 dez. 12 ] Available from: https://doi.org/10.1145/3341161.3343677

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