ReP USP - Resultado da busca

Artigo de periodico
Boosting meta-learning with simulated data complexity measures (2020)
Garcia, Luís Paulo Faina ; Rivolli, Adriano ; Alcobaça, Edesio ; Lorena, Ana Carolina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Intelligent Data Analysis. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS PARA PROCESSAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Luís Paulo Faina et al. Boosting meta-learning with simulated data complexity measures. Intelligent Data Analysis, v. 24, n. 5, p. 1011-1028, 2020Tradução . . Disponível em: https://doi.org/10.3233/IDA-194803. Acesso em: 11 nov. 2024.
APA
Garcia, L. P. F., Rivolli, A., Alcobaça, E., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2020). Boosting meta-learning with simulated data complexity measures. Intelligent Data Analysis, 24( 5), 1011-1028. doi:10.3233/IDA-194803
NLM
Garcia LPF, Rivolli A, Alcobaça E, Lorena AC, Carvalho ACP de LF de. Boosting meta-learning with simulated data complexity measures [Internet]. Intelligent Data Analysis. 2020 ; 24( 5): 1011-1028.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3233/IDA-194803
Vancouver
Garcia LPF, Rivolli A, Alcobaça E, Lorena AC, Carvalho ACP de LF de. Boosting meta-learning with simulated data complexity measures [Internet]. Intelligent Data Analysis. 2020 ; 24( 5): 1011-1028.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3233/IDA-194803
Artigo de periodico
MFE: towards reproducible meta-feature extraction (2020)
Alcobaça, Edesio ; Siqueira, Felipe Alves; Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Oliva, Jefferson Tales ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Journal of Machine Learning Research. Unidade: ICMC
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALCOBAÇA, Edesio et al. MFE: towards reproducible meta-feature extraction. Journal of Machine Learning Research, v. 21, p. 1-5, 2020Tradução . . Disponível em: http://www.jmlr.org/papers/volume21/19-348/19-348.pdf. Acesso em: 11 nov. 2024.
APA
Alcobaça, E., Siqueira, F. A., Rivolli, A., Garcia, L. P. F., Oliva, J. T., & Carvalho, A. C. P. de L. F. de. (2020). MFE: towards reproducible meta-feature extraction. Journal of Machine Learning Research, 21, 1-5. Recuperado de http://www.jmlr.org/papers/volume21/19-348/19-348.pdf
NLM
Alcobaça E, Siqueira FA, Rivolli A, Garcia LPF, Oliva JT, Carvalho ACP de LF de. MFE: towards reproducible meta-feature extraction [Internet]. Journal of Machine Learning Research. 2020 ; 21 1-5.[citado 2024 nov. 11 ] Available from: http://www.jmlr.org/papers/volume21/19-348/19-348.pdf
Vancouver
Alcobaça E, Siqueira FA, Rivolli A, Garcia LPF, Oliva JT, Carvalho ACP de LF de. MFE: towards reproducible meta-feature extraction [Internet]. Journal of Machine Learning Research. 2020 ; 21 1-5.[citado 2024 nov. 11 ] Available from: http://www.jmlr.org/papers/volume21/19-348/19-348.pdf
Trabalho de evento-anais periodico
Evaluation of error metrics for meta-learning label definition in the forecasting task (2020)
Santos, Moises Rocha dos ; Mundim, Leandro Resende ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Hybrid Artificial Intelligence Systems - HAIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Moises Rocha dos e MUNDIM, Leandro Resende e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluation of error metrics for meta-learning label definition in the forecasting task. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61705-9_33. Acesso em: 11 nov. 2024. , 2020
APA
Santos, M. R. dos, Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2020). Evaluation of error metrics for meta-learning label definition in the forecasting task. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61705-9_33
NLM
Santos MR dos, Mundim LR, Carvalho ACP de LF de. Evaluation of error metrics for meta-learning label definition in the forecasting task [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12344 397-409.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-61705-9_33
Vancouver
Santos MR dos, Mundim LR, Carvalho ACP de LF de. Evaluation of error metrics for meta-learning label definition in the forecasting task [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12344 397-409.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-61705-9_33
Artigo de periodico
CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems (2020)
Padilha, Victor Alexandre ; Alkhnbashi, Omer S ; Shah, Shiraz A ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Backofen, Rolf
Source: GigaScience. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, GENES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PADILHA, Victor Alexandre et al. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems. GigaScience, v. 9, n. 6, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1093/gigascience/giaa062. Acesso em: 11 nov. 2024.
APA
Padilha, V. A., Alkhnbashi, O. S., Shah, S. A., Carvalho, A. C. P. de L. F. de, & Backofen, R. (2020). CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems. GigaScience, 9( 6), 1-12. doi:10.1093/gigascience/giaa062
NLM
Padilha VA, Alkhnbashi OS, Shah SA, Carvalho ACP de LF de, Backofen R. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems [Internet]. GigaScience. 2020 ; 9( 6): 1-12.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1093/gigascience/giaa062
Vancouver
Padilha VA, Alkhnbashi OS, Shah SA, Carvalho ACP de LF de, Backofen R. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems [Internet]. GigaScience. 2020 ; 9( 6): 1-12.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1093/gigascience/giaa062
Artigo de periodico
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning (2020)
Rivolli, Adriano ; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Machine Learning. 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
RIVOLLI, Adriano et al. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, v. 109, n. 8, p. 1509-1563, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10994-020-05879-3. Acesso em: 11 nov. 2024.
APA
Rivolli, A., Read, J., Soares, C., Pfahringer, B., & Carvalho, A. C. P. de L. F. de. (2020). An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, 109( 8), 1509-1563. doi:10.1007/s10994-020-05879-3
NLM
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Vancouver
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Artigo de periodico
A two-stage regularization framework for heterogeneous event networks (2020)
Santos, Brucce Neves dos ; Rossi, Rafael Geraldeli ; Rezende, Solange Oliveira ; Marcacini, Ricardo Marcondes
Source: Pattern Recognition Letters. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, REDES SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Brucce Neves dos et al. A two-stage regularization framework for heterogeneous event networks. Pattern Recognition Letters, v. 138, p. 490-496, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.08.019. Acesso em: 11 nov. 2024.
APA
Santos, B. N. dos, Rossi, R. G., Rezende, S. O., & Marcacini, R. M. (2020). A two-stage regularization framework for heterogeneous event networks. Pattern Recognition Letters, 138, 490-496. doi:10.1016/j.patrec.2020.08.019
NLM
Santos BN dos, Rossi RG, Rezende SO, Marcacini RM. A two-stage regularization framework for heterogeneous event networks [Internet]. Pattern Recognition Letters. 2020 ; 138 490-496.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.patrec.2020.08.019
Vancouver
Santos BN dos, Rossi RG, Rezende SO, Marcacini RM. A two-stage regularization framework for heterogeneous event networks [Internet]. Pattern Recognition Letters. 2020 ; 138 490-496.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.patrec.2020.08.019
Trabalho de evento-anais periodico
Multi-objective basic variable neighborhood search for portfolio selection (2020)
Queiroz, Thiago Alves de ; Mundim, Leandro Resende ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Variable Neighborhood Search - ICVNS. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUEIROZ, Thiago Alves de e MUNDIM, Leandro Resende e CARVALHO, André Carlos Ponce de Leon Ferreira de. Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-44932-2_5. Acesso em: 11 nov. 2024. , 2020
APA
Queiroz, T. A. de, Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2020). Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-44932-2_5
NLM
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Vancouver
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Artigo de periodico
Reconstructing commuters network using machine learning and urban indicators (2019)
Spadon, Gabriel ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Rodrigues Junior, José Fernando ; Alves, Luiz Gustavo de Andrade
Source: Scientific Reports. Unidade: ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, MOBILIDADE URBANA, TRANSPORTE INTERURBANO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. Reconstructing commuters network using machine learning and urban indicators. Scientific Reports, v. 9, p. 11801-1-11801-13, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-48295-x. Acesso em: 11 nov. 2024.
APA
Spadon, G., Carvalho, A. C. P. de L. F. de, Rodrigues Junior, J. F., & Alves, L. G. de A. (2019). Reconstructing commuters network using machine learning and urban indicators. Scientific Reports, 9, 11801-1-11801-13. doi:10.1038/s41598-019-48295-x
NLM
Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF, Alves LG de A. Reconstructing commuters network using machine learning and urban indicators [Internet]. Scientific Reports. 2019 ; 9 11801-1-11801-13.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1038/s41598-019-48295-x
Vancouver
Spadon G, Carvalho ACP de LF de, Rodrigues Junior JF, Alves LG de A. Reconstructing commuters network using machine learning and urban indicators [Internet]. Scientific Reports. 2019 ; 9 11801-1-11801-13.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1038/s41598-019-48295-x
Trabalho de evento-anais periodico
Improving portfolio optimization using weighted link prediction in dynamic stock networks (2019)
Castilho, Douglas; Gama, João; Mundim, Leandro Resende; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM, ALGORITMOS ÚTEIS E ESPECÍFICOS, BOLSA DE VALORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTILHO, Douglas et al. Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22744-9_27. Acesso em: 11 nov. 2024. , 2019
APA
Castilho, D., Gama, J., Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2019). Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22744-9_27
NLM
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Vancouver
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Artigo de periodico
A new data characterization for selecting clustering algorithms using meta-learning (2019)
Pimentel, Bruno Almeida; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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. A new data characterization for selecting clustering algorithms using meta-learning. Information Sciences, v. 477, p. 203-219, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2018.10.043. Acesso em: 11 nov. 2024.
APA
Pimentel, B. A., & Carvalho, A. C. P. de L. F. de. (2019). A new data characterization for selecting clustering algorithms using meta-learning. Information Sciences, 477, 203-219. doi:10.1016/j.ins.2018.10.043
NLM
Pimentel BA, Carvalho ACP de LF de. A new data characterization for selecting clustering algorithms using meta-learning [Internet]. Information Sciences. 2019 ; 477 203-219.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.ins.2018.10.043
Vancouver
Pimentel BA, Carvalho ACP de LF de. A new data characterization for selecting clustering algorithms using meta-learning [Internet]. Information Sciences. 2019 ; 477 203-219.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.ins.2018.10.043
Parte de monografia/livro
Linear models for portfolio selection with real features (2019)
Queiroz, Thiago Alves de ; Mundim, Leandro Resende ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Advances in optimization and decision science for society, services and enterprises. Unidade: ICMC
Subjects: PROGRAMAÇÃO LINEAR, OTIMIZAÇÃO COMBINATÓRIA, BOLSA DE VALORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUEIROZ, Thiago Alves de e MUNDIM, Leandro Resende e CARVALHO, André Carlos Ponce de Leon Ferreira de. Linear models for portfolio selection with real features. Advances in optimization and decision science for society, services and enterprises. Tradução . Cham: Springer, 2019. . Disponível em: https://doi.org/10.1007/978-3-030-34960-8_4. Acesso em: 11 nov. 2024.
APA
Queiroz, T. A. de, Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2019). Linear models for portfolio selection with real features. In Advances in optimization and decision science for society, services and enterprises. Cham: Springer. doi:10.1007/978-3-030-34960-8_4
NLM
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Linear models for portfolio selection with real features [Internet]. In: Advances in optimization and decision science for society, services and enterprises. Cham: Springer; 2019. [citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-34960-8_4
Vancouver
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Linear models for portfolio selection with real features [Internet]. In: Advances in optimization and decision science for society, services and enterprises. Cham: Springer; 2019. [citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-34960-8_4
Artigo de periodico
Experimental correlation analysis of bicluster coherence measures and gene ontology information (2019)
Padilha, Victor Alexandre ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GENÉTICOS, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PADILHA, Victor Alexandre e CARVALHO, André Carlos Ponce de Leon Ferreira de. Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, v. 85, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105688. Acesso em: 11 nov. 2024.
APA
Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2019). Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, 85, 1-11. doi:10.1016/j.asoc.2019.105688
NLM
Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Vancouver
Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
Artigo de periodico
A meta-learning approach for selecting image segmentation algorithm (2019)
Aguiar, Gabriel Jones; Mantovani, Rafael Gomes ; Mastelini, Saulo Martiello ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Campos, Gabriel F. C; Barbon Júnior, Sylvio
Source: Pattern Recognition Letters. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Gabriel Jones et al. A meta-learning approach for selecting image segmentation algorithm. Pattern Recognition Letters, v. 128, p. 480-487, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2019.10.018. Acesso em: 11 nov. 2024.
APA
Aguiar, G. J., Mantovani, R. G., Mastelini, S. M., Carvalho, A. C. P. de L. F. de, Campos, G. F. C., & Barbon Júnior, S. (2019). A meta-learning approach for selecting image segmentation algorithm. Pattern Recognition Letters, 128, 480-487. doi:10.1016/j.patrec.2019.10.018
NLM
Aguiar GJ, Mantovani RG, Mastelini SM, Carvalho ACP de LF de, Campos GFC, Barbon Júnior S. A meta-learning approach for selecting image segmentation algorithm [Internet]. Pattern Recognition Letters. 2019 ; 128 480-487.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.018
Vancouver
Aguiar GJ, Mantovani RG, Mastelini SM, Carvalho ACP de LF de, Campos GFC, Barbon Júnior S. A meta-learning approach for selecting image segmentation algorithm [Internet]. Pattern Recognition Letters. 2019 ; 128 480-487.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.018
Trabalho de evento-anais periodico
CF4CF-META: hybrid collaborative filtering algorithm selection framework (2018)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Discory Science - DS. 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
CUNHA, Tiago e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. CF4CF-META: hybrid collaborative filtering algorithm selection framework. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-01771-2_8. Acesso em: 11 nov. 2024. , 2018
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). CF4CF-META: hybrid collaborative filtering algorithm selection framework. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-01771-2_8
NLM
Cunha T, Soares C, Carvalho ACP de LF de. CF4CF-META: hybrid collaborative filtering algorithm selection framework [Internet]. Lecture Notes in Artificial Intelligence. 2018 ; 11198 114-128.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-01771-2_8
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. CF4CF-META: hybrid collaborative filtering algorithm selection framework [Internet]. Lecture Notes in Artificial Intelligence. 2018 ; 11198 114-128.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/978-3-030-01771-2_8
Trabalho de evento
Statistical versus distance-based meta-features for clustering algorithm recommendation using meta-learning (2018)
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, RECONHECIMENTO DE PADRÕES
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. Statistical versus distance-based meta-features for clustering algorithm recommendation using meta-learning. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489182. Acesso em: 11 nov. 2024.
APA
Pimentel, B. A., & Carvalho, A. C. P. de L. F. de. (2018). Statistical versus distance-based meta-features for clustering algorithm recommendation using meta-learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489182
NLM
Pimentel BA, Carvalho ACP de LF de. Statistical versus distance-based meta-features for clustering algorithm recommendation using meta-learning [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489182
Vancouver
Pimentel BA, Carvalho ACP de LF de. Statistical versus distance-based meta-features for clustering algorithm recommendation using meta-learning [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489182
Artigo de periodico
Enhancing multilabel classification for food truck recommendation (2018)
Rivolli, Adriano; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Expert Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Enhancing multilabel classification for food truck recommendation. Expert Systems, v. 35, n. 4, p. 1-9, 2018Tradução . . Disponível em: https://doi.org/10.1111/exsy.12304. Acesso em: 11 nov. 2024.
APA
Rivolli, A., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). Enhancing multilabel classification for food truck recommendation. Expert Systems, 35( 4), 1-9. doi:10.1111/exsy.12304
NLM
Rivolli A, Soares C, Carvalho ACP de LF de. Enhancing multilabel classification for food truck recommendation [Internet]. Expert Systems. 2018 ; 35( 4): 1-9.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1111/exsy.12304
Vancouver
Rivolli A, Soares C, Carvalho ACP de LF de. Enhancing multilabel classification for food truck recommendation [Internet]. Expert Systems. 2018 ; 35( 4): 1-9.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1111/exsy.12304
Trabalho de evento
Data complexity measures for imbalanced classification tasks (2018)
Barella, Victor H; Garcia, Luís P. F; Souto, Marcílio P. de; Lorena, Ana Carolina; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARELLA, Victor H et al. Data complexity measures for imbalanced classification tasks. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489661. Acesso em: 11 nov. 2024.
APA
Barella, V. H., Garcia, L. P. F., Souto, M. P. de, Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2018). Data complexity measures for imbalanced classification tasks. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489661
NLM
Barella VH, Garcia LPF, Souto MP de, Lorena AC, Carvalho ACP de LF de. Data complexity measures for imbalanced classification tasks [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489661
Vancouver
Barella VH, Garcia LPF, Souto MP de, Lorena AC, Carvalho ACP de LF de. Data complexity measures for imbalanced classification tasks [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489661
Trabalho de evento
A study of biclustering coherence measures for gene expression data (2018)
Padilha, Victor A; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PADILHA, Victor A e CARVALHO, André Carlos Ponce de Leon Ferreira de. A study of biclustering coherence measures for gene expression data. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00100. Acesso em: 11 nov. 2024.
APA
Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2018). A study of biclustering coherence measures for gene expression data. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00100
NLM
Padilha VA, Carvalho ACP de LF de. A study of biclustering coherence measures for gene expression data [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/BRACIS.2018.00100
Vancouver
Padilha VA, Carvalho ACP de LF de. A study of biclustering coherence measures for gene expression data [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/BRACIS.2018.00100
Trabalho de evento
CF4CF: recommending collaborative filtering algorithms using collaborative filtering (2018)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: ACM Conference on Recommender Systems - RecSys. Unidade: ICMC
Subjects: SISTEMAS DE INFORMAÇÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUNHA, Tiago e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. CF4CF: recommending collaborative filtering algorithms using collaborative filtering. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3240323.3240378. Acesso em: 11 nov. 2024.
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). CF4CF: recommending collaborative filtering algorithms using collaborative filtering. In Proceedings. New York: ACM. doi:10.1145/3240323.3240378
NLM
Cunha T, Soares C, Carvalho ACP de LF de. CF4CF: recommending collaborative filtering algorithms using collaborative filtering [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1145/3240323.3240378
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. CF4CF: recommending collaborative filtering algorithms using collaborative filtering [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1145/3240323.3240378
Trabalho de evento
Label expansion for multi-label classification (2018)
Rivolli, Adriano; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Label expansion for multi-label classification. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00078. Acesso em: 11 nov. 2024.
APA
Rivolli, A., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). Label expansion for multi-label classification. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00078
NLM
Rivolli A, Soares C, Carvalho ACP de LF de. Label expansion for multi-label classification [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/BRACIS.2018.00078
Vancouver
Rivolli A, Soares C, Carvalho ACP de LF de. Label expansion for multi-label classification [Internet]. Proceedings. 2018 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/BRACIS.2018.00078

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Source title

Conference titles

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration