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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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: http://www.jmlr.org/papers/volume21/19-348/19-348.pdf
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.3233/IDA-194803
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1093/gigascience/giaa062
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)
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1007/978-3-030-61705-9_33
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1016/j.patrec.2020.08.019
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688
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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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
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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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] 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: 07 jun. 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 jun. 07 ] 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 jun. 07 ] Available from: https://doi.org/10.1109/BRACIS.2018.00078

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