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Trabalho de evento
Deep forests with tree-embeddings and label imputation for weak-label learning (2024)
Ilídio, Pedro ; Cerri, Ricardo ; Vens, Celine ; Nakano, Felipe Kenji
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: ICMC, IFSC
Subjects: APRENDIZADO COMPUTACIONAL, FÍSICA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ILÍDIO, Pedro et al. Deep forests with tree-embeddings and label imputation for weak-label learning. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650456. Acesso em: 14 nov. 2024.
APA
Ilídio, P., Cerri, R., Vens, C., & Nakano, F. K. (2024). Deep forests with tree-embeddings and label imputation for weak-label learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650456
NLM
Ilídio P, Cerri R, Vens C, Nakano FK. Deep forests with tree-embeddings and label imputation for weak-label learning [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650456
Vancouver
Ilídio P, Cerri R, Vens C, Nakano FK. Deep forests with tree-embeddings and label imputation for weak-label learning [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650456
Artigo de periodico
LargeNetVis: visual exploration of large temporal networks based on community taxonomies (2023)
Linhares, Claudio Douglas Gouveia ; Ponciano, Jean Roberto ; Pedro, Diogenes Silva; Rocha, Luis Enrique Correa da ; Traina, Agma Juci Machado ; Poco, Jorge
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINHARES, Claudio Douglas Gouveia et al. LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 203-213, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209477. Acesso em: 14 nov. 2024.
APA
Linhares, C. D. G., Ponciano, J. R., Pedro, D. S., Rocha, L. E. C. da, Traina, A. J. M., & Poco, J. (2023). LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 203-213. doi:10.1109/TVCG.2022.3209477
NLM
Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
Vancouver
Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
Trabalho de evento-anais periodico
Using spatiotemporal information to integrate heterogeneous biodiversity semantic data (2016)
Amanqui, Flor; Verborgh, Ruben; Mannens, Erik; Walle, Rik van de; Moreira, Dilvan de Abreu
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Web Engineering - ICWE. Unidade: ICMC
Subjects: WORLD WIDE WEB, WEB SEMÂNTICA, BIODIVERSIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMANQUI, Flor et al. Using spatiotemporal information to integrate heterogeneous biodiversity semantic data. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-38791-8_41. Acesso em: 14 nov. 2024. , 2016
APA
Amanqui, F., Verborgh, R., Mannens, E., Walle, R. van de, & Moreira, D. de A. (2016). Using spatiotemporal information to integrate heterogeneous biodiversity semantic data. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-38791-8_41
NLM
Amanqui F, Verborgh R, Mannens E, Walle R van de, Moreira D de A. Using spatiotemporal information to integrate heterogeneous biodiversity semantic data [Internet]. Lecture Notes in Computer Science. 2016 ; 9671 525-530.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-319-38791-8_41
Vancouver
Amanqui F, Verborgh R, Mannens E, Walle R van de, Moreira D de A. Using spatiotemporal information to integrate heterogeneous biodiversity semantic data [Internet]. Lecture Notes in Computer Science. 2016 ; 9671 525-530.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-319-38791-8_41
Trabalho de evento
A model of provenance applied to biodiversity datasets (2016)
Amanqui, Flor K; Nies, Tom de; Dimou, Anastasia; Verborgh, Ruben; Mannens, Erik; Walle, Rik van de; Moreira, Dilvan de Abreu
Source: Proceedings. Conference titles: IEEE International Conference on Enabling Technologies : Infrastructure for Collaborative Enterprises - WETICE. Unidade: ICMC
Subjects: WORLD WIDE WEB, SISTEMAS MULTIMÍDIA, WEB SEMÂNTICA, BIODIVERSIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMANQUI, Flor K et al. A model of provenance applied to biodiversity datasets. 2016, Anais.. Los Alamitos: Conference Publishing Services, 2016. Disponível em: https://doi.org/10.1109/WETICE.2016.59. Acesso em: 14 nov. 2024.
APA
Amanqui, F. K., Nies, T. de, Dimou, A., Verborgh, R., Mannens, E., Walle, R. van de, & Moreira, D. de A. (2016). A model of provenance applied to biodiversity datasets. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/WETICE.2016.59
NLM
Amanqui FK, Nies T de, Dimou A, Verborgh R, Mannens E, Walle R van de, Moreira D de A. A model of provenance applied to biodiversity datasets [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/WETICE.2016.59
Vancouver
Amanqui FK, Nies T de, Dimou A, Verborgh R, Mannens E, Walle R van de, Moreira D de A. A model of provenance applied to biodiversity datasets [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/WETICE.2016.59

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