SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Filipe Silva(dfilipeaugusto@poli.ufrj.br)
2 Débora Pina(dbpina@cos.ufrj.br)
3 Liliane Kunstmann(lneves@cos.ufrj.br)
4 Marta Mattoso(marta@cos.ufrj.br)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Gil, Y., Honaker, J., Gupta, S., Ma, Y., D’Orazio, V., Garijo, D., Gadewar, S., Yang, Q., and Jahanshad, N. (2019). Towards human-guided machine learning. In Proceedings of the 24th International Conference on Intelligent User Interfaces, pages 614–624.
2 Gunning, D. and Aha, D. (2019). Darpa’s explainable artificial intelligence (xai) program. AI Magazine, 40(2):44–58.
3 Huynh, T. D., Ebden, M., Fischer, J., Roberts, S., and Moreau, L. (2018). Provenance network analytics. Data Mining and Knowledge Discovery, 32(3):708–735.
4 Krizhevsky, A., Sutskever, I., and Hinton, G. E. (2017). Imagenet classification with deep convolutional neural networks. Commun. ACM, 60(6):84–90.
5 Kronthaler, F. and Zollner, S. (2021). Data Analysis with RStudio. Springer.
6 Moreau, L. and Groth, P. (2013). Provenance: an introduction to prov. Synthesis Lectures on the Semantic Web: Theory and Technology, 3(4):1–129.
7 Namaki, M. H., Floratou, A., Psallidas, F., Krishnan, S., Agrawal, A., Wu, Y., Zhu, Y., and Weimer, M. (2020). Vamsa: Automated provenance tracking in data science scripts. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 1542–1551.
8 Nilsback, M. . and Zisserman, A. (2006). A visual vocabulary for flower classification. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), volume 2, pages 1447–1454.
9 Pasquier, T., Lau, M. K., Trisovic, A., Boose, E. R., Couturier, B., Crosas, M., Ellison, A. M., Gibson, V., Jones, C. R., and Seltzer, M. (2017). If these data could talk. Scientific Data, 4(1):170114.
10 Pina, D. (2020). Captura de dados de proveniência para apoiar a análise de hiperparâmetros em redes de aprendizado profundo. Dissertação de mestrado PESC/COPPE/UFRJ.
11 Pina, D., Kunstmann, L., Oliveira, D., Valduriez, P., and Mattoso, M. (2020). Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas. In Anais do XXXV SBBD, pages 187–192.