An interoperable service for the provenance of machine learning experiments

Julio Cesar Duarte, Maria Cláudia Reis Cavalcanti, Igor de Souza Costa, Diego Esteves. An interoperable service for the provenance of machine learning experiments. In Amit P. Sheth, Axel Ngonga, Yin Wang, Elizabeth Chang, Dominik Slezak, Bogdan Franczyk, Rainer Alt, Xiaohui Tao, Rainer Unland, editors, Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017. pages 132-138, ACM, 2017. [doi]

@inproceedings{DuarteCCE17,
  title = {An interoperable service for the provenance of machine learning experiments},
  author = {Julio Cesar Duarte and Maria Cláudia Reis Cavalcanti and Igor de Souza Costa and Diego Esteves},
  year = {2017},
  doi = {10.1145/3106426.3106496},
  url = {http://doi.acm.org/10.1145/3106426.3106496},
  researchr = {https://researchr.org/publication/DuarteCCE17},
  cites = {0},
  citedby = {0},
  pages = {132-138},
  booktitle = {Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017},
  editor = {Amit P. Sheth and Axel Ngonga and Yin Wang and Elizabeth Chang and Dominik Slezak and Bogdan Franczyk and Rainer Alt and Xiaohui Tao and Rainer Unland},
  publisher = {ACM},
  isbn = {978-1-4503-4951-2},
}