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Artigo de periodico
Combining clustering and active learning for the detection and learning of new image classes (2019)
Coletta, Luiz Fernando Sommaggio ; Ponti, Moacir Antonelli ; Hruschka, Eduardo Raul ; Acharya, Ayan; Ghosh, Joydeep
Source: Neurocomputing. Unidades: ICMC, EP
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTA, Luiz Fernando Sommaggio et al. Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing, v. 358, p. Se 2019, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2019.04.070. Acesso em: 14 nov. 2024.
APA
Coletta, L. F. S., Ponti, M. A., Hruschka, E. R., Acharya, A., & Ghosh, J. (2019). Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing, 358, Se 2019. doi:10.1016/j.neucom.2019.04.070
NLM
Coletta LFS, Ponti MA, Hruschka ER, Acharya A, Ghosh J. Combining clustering and active learning for the detection and learning of new image classes [Internet]. Neurocomputing. 2019 ; 358 Se 2019.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.neucom.2019.04.070
Vancouver
Coletta LFS, Ponti MA, Hruschka ER, Acharya A, Ghosh J. Combining clustering and active learning for the detection and learning of new image classes [Internet]. Neurocomputing. 2019 ; 358 Se 2019.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.neucom.2019.04.070
Artigo de periodico
An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning (2014)
Acharya, Ayan; Hruschka, Eduardo Raul ; Ghosh, Joydeep; Acharyya, Sreangsu
Source: ACM Transactions on Knowledge Discovery from Data. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHARYA, Ayan et al. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning. ACM Transactions on Knowledge Discovery from Data, v. 9, n. 1, p. 1:1-1:35, 2014Tradução . . Disponível em: https://doi.org/10.1145/2601435. Acesso em: 14 nov. 2024.
APA
Acharya, A., Hruschka, E. R., Ghosh, J., & Acharyya, S. (2014). An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning. ACM Transactions on Knowledge Discovery from Data, 9( 1), 1:1-1:35. doi:10.1145/2601435
NLM
Acharya A, Hruschka ER, Ghosh J, Acharyya S. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning [Internet]. ACM Transactions on Knowledge Discovery from Data. 2014 ; 9( 1): 1:1-1:35.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2601435
Vancouver
Acharya A, Hruschka ER, Ghosh J, Acharyya S. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning [Internet]. ACM Transactions on Knowledge Discovery from Data. 2014 ; 9( 1): 1:1-1:35.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2601435
Artigo de periodico
A study of K-means-based algorithms for constrained clustering (2013)
Covões, Thiago Ferreira; Hruschka, Eduardo Raul ; Ghosh, Joydeep
Source: Intelligent Data Analysis. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago Ferreira e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. A study of K-means-based algorithms for constrained clustering. Intelligent Data Analysis, v. 17, n. 3, p. 485-505, 2013Tradução . . Disponível em: https://doi.org/10.3233/IDA-130590. Acesso em: 14 nov. 2024.
APA
Covões, T. F., Hruschka, E. R., & Ghosh, J. (2013). A study of K-means-based algorithms for constrained clustering. Intelligent Data Analysis, 17( 3), 485-505. doi:10.3233/IDA-130590
NLM
Covões TF, Hruschka ER, Ghosh J. A study of K-means-based algorithms for constrained clustering [Internet]. Intelligent Data Analysis. 2013 ; 17( 3): 485-505.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3233/IDA-130590
Vancouver
Covões TF, Hruschka ER, Ghosh J. A study of K-means-based algorithms for constrained clustering [Internet]. Intelligent Data Analysis. 2013 ; 17( 3): 485-505.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3233/IDA-130590
Trabalho de evento
Probabilistic combination of classifier and cluster ensembles for non-transductive learning (2013)
Acharya, Ayan; Hruschka, Eduardo Raul ; Ghosh, Joydeep; Sarwar, Badrul; Ruvini, Jean-David
Source: Proceedings. Conference titles: SIAM International Conference on Data Mining. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHARYA, Ayan et al. Probabilistic combination of classifier and cluster ensembles for non-transductive learning. 2013, Anais.. Philadelphia: SIAM, 2013. Disponível em: https://doi.org/10.1137/1.9781611972832.32. Acesso em: 14 nov. 2024.
APA
Acharya, A., Hruschka, E. R., Ghosh, J., Sarwar, B., & Ruvini, J. -D. (2013). Probabilistic combination of classifier and cluster ensembles for non-transductive learning. In Proceedings. Philadelphia: SIAM. doi:10.1137/1.9781611972832.32
NLM
Acharya A, Hruschka ER, Ghosh J, Sarwar B, Ruvini J-D. Probabilistic combination of classifier and cluster ensembles for non-transductive learning [Internet]. Proceedings. 2013 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1137/1.9781611972832.32
Vancouver
Acharya A, Hruschka ER, Ghosh J, Sarwar B, Ruvini J-D. Probabilistic combination of classifier and cluster ensembles for non-transductive learning [Internet]. Proceedings. 2013 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1137/1.9781611972832.32
Trabalho de evento-anais periodico
Transfer learning with cluster ensembles (2012)
Acharya, Ayan; Hruschka, Eduardo Raul ; Ghosh, Joydeep; Acharyya, Sreangsu
Source: JMLR: Workshop and Conference Proceedings. Conference titles: International Conference on Machine Learning - ICML. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHARYA, Ayan et al. Transfer learning with cluster ensembles. JMLR: Workshop and Conference Proceedings. Brookline: Microtome Publishing. Disponível em: http://jmlr.csail.mit.edu/proceedings/papers/v27/. Acesso em: 14 nov. 2024. , 2012
APA
Acharya, A., Hruschka, E. R., Ghosh, J., & Acharyya, S. (2012). Transfer learning with cluster ensembles. JMLR: Workshop and Conference Proceedings. Brookline: Microtome Publishing. Recuperado de http://jmlr.csail.mit.edu/proceedings/papers/v27/
NLM
Acharya A, Hruschka ER, Ghosh J, Acharyya S. Transfer learning with cluster ensembles [Internet]. JMLR: Workshop and Conference Proceedings. 2012 ; 27 123-133.[citado 2024 nov. 14 ] Available from: http://jmlr.csail.mit.edu/proceedings/papers/v27/
Vancouver
Acharya A, Hruschka ER, Ghosh J, Acharyya S. Transfer learning with cluster ensembles [Internet]. JMLR: Workshop and Conference Proceedings. 2012 ; 27 123-133.[citado 2024 nov. 14 ] Available from: http://jmlr.csail.mit.edu/proceedings/papers/v27/
Trabalho de evento
A privacy-aware Bayesian approach for combining classifier and cluster ensembles (2011)
Acharya, Ayan; Hruschka, Eduardo Raul ; Ghosh, Joydeep
Source: Proceedings. Conference titles: IEEE International Conference on Privacy, Security, Risk, and Trust - PASSAT. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHARYA, Ayan e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. A privacy-aware Bayesian approach for combining classifier and cluster ensembles. 2011, Anais.. Los Alamintos: IEEE Conference Publishing Services, 2011. Disponível em: https://doi.org/10.1109/PASSAT/SocialCom.2011.172. Acesso em: 14 nov. 2024.
APA
Acharya, A., Hruschka, E. R., & Ghosh, J. (2011). A privacy-aware Bayesian approach for combining classifier and cluster ensembles. In Proceedings. Los Alamintos: IEEE Conference Publishing Services. doi:10.1109/PASSAT/SocialCom.2011.172
NLM
Acharya A, Hruschka ER, Ghosh J. A privacy-aware Bayesian approach for combining classifier and cluster ensembles [Internet]. Proceedings. 2011 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/PASSAT/SocialCom.2011.172
Vancouver
Acharya A, Hruschka ER, Ghosh J. A privacy-aware Bayesian approach for combining classifier and cluster ensembles [Internet]. Proceedings. 2011 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/PASSAT/SocialCom.2011.172

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