Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering

Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard. Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering. In Naoki Abe, Huan Liu 0001, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu 0001, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz, editors, IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018. pages 943-950, IEEE, 2018. [doi]

@inproceedings{BarghiSSG18,
  title = {Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering},
  author = {Soudabeh Barghi and Lalet Scaria and Ali Salari and Tristan Glatard},
  year = {2018},
  doi = {10.1109/BigData.2018.8622095},
  url = {https://doi.org/10.1109/BigData.2018.8622095},
  researchr = {https://researchr.org/publication/BarghiSSG18},
  cites = {0},
  citedby = {0},
  pages = {943-950},
  booktitle = {IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018},
  editor = {Naoki Abe and Huan Liu 0001 and Calton Pu and Xiaohua Hu and Nesreen Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu 0001 and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey Saltz},
  publisher = {IEEE},
  isbn = {978-1-5386-5035-6},
}