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Trabalho de evento-resumo
Case recommender: a flexible and extensible Python framework for recommender systems (2018)
Costa, Arthur da; Fressato, Eduardo; Neto, Fernando; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: ACM Conference on Recommender Systems - RecSys. Unidade: ICMC
Subjects: SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, PYTHON
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ABNT
COSTA, Arthur da et al. Case recommender: a flexible and extensible Python framework for recommender systems. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3240323.3241611. Acesso em: 13 nov. 2024.
APA
Costa, A. da, Fressato, E., Neto, F., Manzato, M. G., & Campello, R. J. G. B. (2018). Case recommender: a flexible and extensible Python framework for recommender systems. In Proceedings. New York: ACM. doi:10.1145/3240323.3241611
NLM
Costa A da, Fressato E, Neto F, Manzato MG, Campello RJGB. Case recommender: a flexible and extensible Python framework for recommender systems [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3240323.3241611
Vancouver
Costa A da, Fressato E, Neto F, Manzato MG, Campello RJGB. Case recommender: a flexible and extensible Python framework for recommender systems [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3240323.3241611
Trabalho de evento
A unified framework of density-based clustering for semi-supervised classification (2018)
Gertrudes, Jadson Castro; Zimek, Arthur; Sander, Jörg; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: International Conference on Scientific and Statistical Database Management - SSDBM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
GERTRUDES, Jadson Castro et al. A unified framework of density-based clustering for semi-supervised classification. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3221269.3223037. Acesso em: 13 nov. 2024.
APA
Gertrudes, J. C., Zimek, A., Sander, J., & Campello, R. J. G. B. (2018). A unified framework of density-based clustering for semi-supervised classification. In Proceedings. New York: ACM. doi:10.1145/3221269.3223037
NLM
Gertrudes JC, Zimek A, Sander J, Campello RJGB. A unified framework of density-based clustering for semi-supervised classification [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3221269.3223037
Vancouver
Gertrudes JC, Zimek A, Sander J, Campello RJGB. A unified framework of density-based clustering for semi-supervised classification [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3221269.3223037
Trabalho de evento
CoRec: a co-training approach for recommender systems (2018)
Costa, Arthur F. da; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES
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ABNT
COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. CoRec: a co-training approach for recommender systems. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3167132.3167209. Acesso em: 13 nov. 2024.
APA
Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2018). CoRec: a co-training approach for recommender systems. In Proceedings. New York: ACM. doi:10.1145/3167132.3167209
NLM
Costa AF da, Manzato MG, Campello RJGB. CoRec: a co-training approach for recommender systems [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3167132.3167209
Vancouver
Costa AF da, Manzato MG, Campello RJGB. CoRec: a co-training approach for recommender systems [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3167132.3167209
Trabalho de evento
Efficient computation of multiple density-based clustering hierarchies (2017)
Araujo Neto, Antonio Cavalcante; Sander, Joerg; Campello, Ricardo José Gabrielli Barreto; Nascimento, Mario A
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining - ICDM. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, DESCOBERTA DE CONHECIMENTO
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ABNT
ARAUJO NETO, Antonio Cavalcante et al. Efficient computation of multiple density-based clustering hierarchies. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/ICDM.2017.127. Acesso em: 13 nov. 2024.
APA
Araujo Neto, A. C., Sander, J., Campello, R. J. G. B., & Nascimento, M. A. (2017). Efficient computation of multiple density-based clustering hierarchies. In Proceedings. Piscataway: IEEE. doi:10.1109/ICDM.2017.127
NLM
Araujo Neto AC, Sander J, Campello RJGB, Nascimento MA. Efficient computation of multiple density-based clustering hierarchies [Internet]. Proceedings. 2017 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ICDM.2017.127
Vancouver
Araujo Neto AC, Sander J, Campello RJGB, Nascimento MA. Efficient computation of multiple density-based clustering hierarchies [Internet]. Proceedings. 2017 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ICDM.2017.127
Trabalho de evento
On the evaluation of outlier detection and one-class classification methods (2016)
Swersky, Lorne; Marques, Henrique O; Sander, Jörg; Campello, Ricardo José Gabrielli Barreto; Zimek, Arthur
Source: Proceedings. Conference titles: IEEE International Conference on Data Science and Advanced Analytics - DSAA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
SWERSKY, Lorne et al. On the evaluation of outlier detection and one-class classification methods. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/DSAA.2016.8. Acesso em: 13 nov. 2024.
APA
Swersky, L., Marques, H. O., Sander, J., Campello, R. J. G. B., & Zimek, A. (2016). On the evaluation of outlier detection and one-class classification methods. In Proceedings. Los Alamitos: IEEE. doi:10.1109/DSAA.2016.8
NLM
Swersky L, Marques HO, Sander J, Campello RJGB, Zimek A. On the evaluation of outlier detection and one-class classification methods [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/DSAA.2016.8
Vancouver
Swersky L, Marques HO, Sander J, Campello RJGB, Zimek A. On the evaluation of outlier detection and one-class classification methods [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/DSAA.2016.8
Trabalho de evento
Exploiting different users' interactions for profiles enrichment in recommender systems (2016)
Costa, Arthur F. da; Martins, Rafael D; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS DE INFORMAÇÃO, WORLD WIDE WEB
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ABNT
COSTA, Arthur F. da et al. Exploiting different users' interactions for profiles enrichment in recommender systems. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2851613.2851923. Acesso em: 13 nov. 2024.
APA
Costa, A. F. da, Martins, R. D., Manzato, M. G., & Campello, R. J. G. B. (2016). Exploiting different users' interactions for profiles enrichment in recommender systems. In Proceedings. New York: ACM. doi:10.1145/2851613.2851923
NLM
Costa AF da, Martins RD, Manzato MG, Campello RJGB. Exploiting different users' interactions for profiles enrichment in recommender systems [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2851613.2851923
Vancouver
Costa AF da, Martins RD, Manzato MG, Campello RJGB. Exploiting different users' interactions for profiles enrichment in recommender systems [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2851613.2851923
Trabalho de evento
Active semi-supervised classification based on multiple clustering hierarchies (2016)
Batista, Antônio J. L; Campello, Ricardo José Gabrielli Barreto; Sander, Jörg
Source: Proceedings. Conference titles: IEEE International Conference on Data Science and Advanced Analytics - DSAA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
BATISTA, Antônio J. L e CAMPELLO, Ricardo José Gabrielli Barreto e SANDER, Jörg. Active semi-supervised classification based on multiple clustering hierarchies. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/DSAA.2016.9. Acesso em: 13 nov. 2024.
APA
Batista, A. J. L., Campello, R. J. G. B., & Sander, J. (2016). Active semi-supervised classification based on multiple clustering hierarchies. In Proceedings. Los Alamitos: IEEE. doi:10.1109/DSAA.2016.9
NLM
Batista AJL, Campello RJGB, Sander J. Active semi-supervised classification based on multiple clustering hierarchies [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/DSAA.2016.9
Vancouver
Batista AJL, Campello RJGB, Sander J. Active semi-supervised classification based on multiple clustering hierarchies [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/DSAA.2016.9
Trabalho de evento
Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking (2016)
Costa, Arthur F. da; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: MULTIMÍDIA INTERATIVA, SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES
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ABNT
COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2976796.2976852. Acesso em: 13 nov. 2024.
APA
Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2016). Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking. In Proceedings. New York: ACM. doi:10.1145/2976796.2976852
NLM
Costa AF da, Manzato MG, Campello RJGB. Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2976796.2976852
Vancouver
Costa AF da, Manzato MG, Campello RJGB. Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking [Internet]. Proceedings. 2016 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2976796.2976852
Trabalho de evento
On the internal evaluation of unsupervised outlier detection (2015)
Marques, Henrique O; Campello, Ricardo José Gabrielli Barreto; Zimek, Arthur; Sander, Jörg
Source: Proceedings. Conference titles: International Conference on Scientific and Statistical Database Management - SSDBM. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS
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ABNT
MARQUES, Henrique O et al. On the internal evaluation of unsupervised outlier detection. 2015, Anais.. New York: ACM, 2015. Disponível em: https://doi.org/10.1145/2791347.2791352. Acesso em: 13 nov. 2024.
APA
Marques, H. O., Campello, R. J. G. B., Zimek, A., & Sander, J. (2015). On the internal evaluation of unsupervised outlier detection. In Proceedings. New York: ACM. doi:10.1145/2791347.2791352
NLM
Marques HO, Campello RJGB, Zimek A, Sander J. On the internal evaluation of unsupervised outlier detection [Internet]. Proceedings. 2015 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2791347.2791352
Vancouver
Marques HO, Campello RJGB, Zimek A, Sander J. On the internal evaluation of unsupervised outlier detection [Internet]. Proceedings. 2015 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2791347.2791352
Trabalho de evento
A cluster based hybrid feature selection approach (2015)
Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS
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ABNT
JASKOWIAK, Pablo A e CAMPELLO, Ricardo José Gabrielli Barreto. A cluster based hybrid feature selection approach. 2015, Anais.. Los Alamitos: Conference Publishing Services, 2015. Disponível em: https://doi.org/10.1109/BRACIS.2015.14. Acesso em: 13 nov. 2024.
APA
Jaskowiak, P. A., & Campello, R. J. G. B. (2015). A cluster based hybrid feature selection approach. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2015.14
NLM
Jaskowiak PA, Campello RJGB. A cluster based hybrid feature selection approach [Internet]. Proceedings. 2015 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2015.14
Vancouver
Jaskowiak PA, Campello RJGB. A cluster based hybrid feature selection approach [Internet]. Proceedings. 2015 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2015.14
Trabalho de evento
Model selection for semi-supervised clustering (2014)
Pourrajabi, Mojgan; Moulavi, Davoud; Campello, Ricardo José Gabrielli Barreto; Zimek, Arthur; Sander, Jörg; Goebel, Randy
Source: Proceedings. Conference titles: International Conference on Extending Database Technology - EDBT. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
POURRAJABI, Mojgan et al. Model selection for semi-supervised clustering. 2014, Anais.. Konstanz: OpenProceedings, 2014. Disponível em: https://doi.org/10.5441/002/edbt.2014.31. Acesso em: 13 nov. 2024.
APA
Pourrajabi, M., Moulavi, D., Campello, R. J. G. B., Zimek, A., Sander, J., & Goebel, R. (2014). Model selection for semi-supervised clustering. In Proceedings. Konstanz: OpenProceedings. doi:10.5441/002/edbt.2014.31
NLM
Pourrajabi M, Moulavi D, Campello RJGB, Zimek A, Sander J, Goebel R. Model selection for semi-supervised clustering [Internet]. Proceedings. 2014 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.5441/002/edbt.2014.31
Vancouver
Pourrajabi M, Moulavi D, Campello RJGB, Zimek A, Sander J, Goebel R. Model selection for semi-supervised clustering [Internet]. Proceedings. 2014 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.5441/002/edbt.2014.31
Trabalho de evento
Data perturbation for outlier detection ensembles (2014)
Zimek, Arthur; Campello, Ricardo José Gabrielli Barreto; Sander, Jörg
Source: Proceedings. Conference titles: International Conference on Scientific and Statistical Database Management - SSDBM. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
ZIMEK, Arthur e CAMPELLO, Ricardo José Gabrielli Barreto e SANDER, Jörg. Data perturbation for outlier detection ensembles. 2014, Anais.. New York: ACM, 2014. Disponível em: https://doi.org/10.1145/2618243.2618257. Acesso em: 13 nov. 2024.
APA
Zimek, A., Campello, R. J. G. B., & Sander, J. (2014). Data perturbation for outlier detection ensembles. In Proceedings. New York: ACM. doi:10.1145/2618243.2618257
NLM
Zimek A, Campello RJGB, Sander J. Data perturbation for outlier detection ensembles [Internet]. Proceedings. 2014 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2618243.2618257
Vancouver
Zimek A, Campello RJGB, Sander J. Data perturbation for outlier detection ensembles [Internet]. Proceedings. 2014 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2618243.2618257
Trabalho de evento
Density-based clustering validation (2014)
Moulavi, Davoud; Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto; Zimek, Arthur; Sander, Jörg
Source: Proceedings. Conference titles: SIAM International Conference on Data Mining - SDM. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
MOULAVI, Davoud et al. Density-based clustering validation. 2014, Anais.. Philadelphia: SIAM, 2014. . Acesso em: 13 nov. 2024.
APA
Moulavi, D., Jaskowiak, P. A., Campello, R. J. G. B., Zimek, A., & Sander, J. (2014). Density-based clustering validation. In Proceedings. Philadelphia: SIAM.
NLM
Moulavi D, Jaskowiak PA, Campello RJGB, Zimek A, Sander J. Density-based clustering validation. Proceedings. 2014 ;[citado 2024 nov. 13 ]
Vancouver
Moulavi D, Jaskowiak PA, Campello RJGB, Zimek A, Sander J. Density-based clustering validation. Proceedings. 2014 ;[citado 2024 nov. 13 ]
Trabalho de evento
Subsampling for efficient and effective unsupervised outlier detection ensembles (2013)
Zimek, Arthur; Gaudet, Matthew; Campello, Ricardo José Gabrielli Barreto; Sander, Jörg
Source: Proceedings. Conference titles: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
ZIMEK, Arthur et al. Subsampling for efficient and effective unsupervised outlier detection ensembles. 2013, Anais.. New York: ACM, 2013. Disponível em: https://doi.org/10.1145/2487575.2487676. Acesso em: 13 nov. 2024.
APA
Zimek, A., Gaudet, M., Campello, R. J. G. B., & Sander, J. (2013). Subsampling for efficient and effective unsupervised outlier detection ensembles. In Proceedings. New York: ACM. doi:10.1145/2487575.2487676
NLM
Zimek A, Gaudet M, Campello RJGB, Sander J. Subsampling for efficient and effective unsupervised outlier detection ensembles [Internet]. Proceedings. 2013 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2487575.2487676
Vancouver
Zimek A, Gaudet M, Campello RJGB, Sander J. Subsampling for efficient and effective unsupervised outlier detection ensembles [Internet]. Proceedings. 2013 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2487575.2487676
Trabalho de evento
Distributed k-means clustering with low transmission cost (2013)
Naldi, Murilo Coelho; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NALDI, Murilo Coelho e CAMPELLO, Ricardo José Gabrielli Barreto. Distributed k-means clustering with low transmission cost. 2013, Anais.. Los Alamitos: Conference Publishing Services, 2013. Disponível em: https://doi.org/10.1109/BRACIS.2013.20. Acesso em: 13 nov. 2024.
APA
Naldi, M. C., & Campello, R. J. G. B. (2013). Distributed k-means clustering with low transmission cost. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2013.20
NLM
Naldi MC, Campello RJGB. Distributed k-means clustering with low transmission cost [Internet]. Proceedings. 2013 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2013.20
Vancouver
Naldi MC, Campello RJGB. Distributed k-means clustering with low transmission cost [Internet]. Proceedings. 2013 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/BRACIS.2013.20
Trabalho de evento
On the combination of relative clustering validity criteria (2013)
Vendramin, Lucas; Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: International Conference on Scientific and Statistical Database Management - SSDBM. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
VENDRAMIN, Lucas e JASKOWIAK, Pablo A e CAMPELLO, Ricardo José Gabrielli Barreto. On the combination of relative clustering validity criteria. 2013, Anais.. New York: ACM, 2013. Disponível em: https://doi.org/10.1145/2484838.2484844. Acesso em: 13 nov. 2024.
APA
Vendramin, L., Jaskowiak, P. A., & Campello, R. J. G. B. (2013). On the combination of relative clustering validity criteria. In Proceedings. New York: ACM. doi:10.1145/2484838.2484844
NLM
Vendramin L, Jaskowiak PA, Campello RJGB. On the combination of relative clustering validity criteria [Internet]. Proceedings. 2013 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2484838.2484844
Vancouver
Vendramin L, Jaskowiak PA, Campello RJGB. On the combination of relative clustering validity criteria [Internet]. Proceedings. 2013 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/2484838.2484844
Trabalho de evento
Combining information from distributed evolutionary k-means (2012)
Naldi, Murilo Coelho; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
NALDI, Murilo Coelho e CAMPELLO, Ricardo José Gabrielli Barreto. Combining information from distributed evolutionary k-means. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.11. Acesso em: 13 nov. 2024.
APA
Naldi, M. C., & Campello, R. J. G. B. (2012). Combining information from distributed evolutionary k-means. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.11
NLM
Naldi MC, Campello RJGB. Combining information from distributed evolutionary k-means [Internet]. Proceedings. 2012 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/SBRN.2012.11
Vancouver
Naldi MC, Campello RJGB. Combining information from distributed evolutionary k-means [Internet]. Proceedings. 2012 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/SBRN.2012.11
Trabalho de evento
Relative validity criteria for community mining algorithms (2012)
Rabbany, Reihaneh; Takaffoli, Mansoreh; Fagnan, Justin; Zaïane, Osmar R; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
RABBANY, Reihaneh et al. Relative validity criteria for community mining algorithms. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/ASONAM.2012.52. Acesso em: 13 nov. 2024.
APA
Rabbany, R., Takaffoli, M., Fagnan, J., Zaïane, O. R., & Campello, R. J. G. B. (2012). Relative validity criteria for community mining algorithms. In Proceedings. Piscataway: IEEE. doi:10.1109/ASONAM.2012.52
NLM
Rabbany R, Takaffoli M, Fagnan J, Zaïane OR, Campello RJGB. Relative validity criteria for community mining algorithms [Internet]. Proceedings. 2012 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ASONAM.2012.52
Vancouver
Rabbany R, Takaffoli M, Fagnan J, Zaïane OR, Campello RJGB. Relative validity criteria for community mining algorithms [Internet]. Proceedings. 2012 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ASONAM.2012.52
Trabalho de evento
Optimization of volterra models with asymmetrical kernels based on generalized orthonormal functions (2011)
Braga, Márcio Feliciano; Machado, Jeremias Barbosa; Campello, Ricardo José Gabrielli Barreto; Amaral, Wagner Caradori do
Source: Proceedings. Conference titles: Mediterranean Conference on Control and Automation. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
BRAGA, Márcio Feliciano et al. Optimization of volterra models with asymmetrical kernels based on generalized orthonormal functions. 2011, Anais.. Piscataway: IEEE, 2011. . Acesso em: 13 nov. 2024.
APA
Braga, M. F., Machado, J. B., Campello, R. J. G. B., & Amaral, W. C. do. (2011). Optimization of volterra models with asymmetrical kernels based on generalized orthonormal functions. In Proceedings. Piscataway: IEEE.
NLM
Braga MF, Machado JB, Campello RJGB, Amaral WC do. Optimization of volterra models with asymmetrical kernels based on generalized orthonormal functions. Proceedings. 2011 ;[citado 2024 nov. 13 ]
Vancouver
Braga MF, Machado JB, Campello RJGB, Amaral WC do. Optimization of volterra models with asymmetrical kernels based on generalized orthonormal functions. Proceedings. 2011 ;[citado 2024 nov. 13 ]
Trabalho de evento
Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data (2011)
Jaskowiak, Pablo Andretta; Campello, Ricardo José Gabrielli Barreto
Source: Proceedings. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JASKOWIAK, Pablo Andretta e CAMPELLO, Ricardo José Gabrielli Barreto. Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data. 2011, Anais.. Porto Alegre: SBC, 2011. . Acesso em: 13 nov. 2024.
APA
Jaskowiak, P. A., & Campello, R. J. G. B. (2011). Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data. In Proceedings. Porto Alegre: SBC.
NLM
Jaskowiak PA, Campello RJGB. Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data. Proceedings. 2011 ;[citado 2024 nov. 13 ]
Vancouver
Jaskowiak PA, Campello RJGB. Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data. Proceedings. 2011 ;[citado 2024 nov. 13 ]

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