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Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace

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Citation

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MLA
Sala, Davi Alberto, et al. “Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace.” 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2018, pp. 1419–26.
APA
Sala, D. A., Jalalvand, A., Van Yperen-De Deyne, A., & Mannens, E. (2018). Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace. In 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) (pp. 1419–1426). Orlando, USA.
Chicago author-date
Sala, Davi Alberto, Azarakhsh Jalalvand, A. Van Yperen-De Deyne, and Erik Mannens. 2018. “Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace.” In 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 1419–26.
Chicago author-date (all authors)
Sala, Davi Alberto, Azarakhsh Jalalvand, A. Van Yperen-De Deyne, and Erik Mannens. 2018. “Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace.” In 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 1419–1426.
Vancouver
1.
Sala DA, Jalalvand A, Van Yperen-De Deyne A, Mannens E. Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace. In: 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA). 2018. p. 1419–26.
IEEE
[1]
D. A. Sala, A. Jalalvand, A. Van Yperen-De Deyne, and E. Mannens, “Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace,” in 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), Orlando, USA, 2018, pp. 1419–1426.
@inproceedings{8588060,
  author       = {Sala, Davi Alberto and Jalalvand, Azarakhsh and Van Yperen-De Deyne, A. and Mannens, Erik},
  booktitle    = {2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA)},
  isbn         = {9781538668054},
  language     = {eng},
  location     = {Orlando, USA},
  pages        = {1419--1426},
  title        = {Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace},
  url          = {http://dx.doi.org/10.1109/ICMLA.2018.00231},
  year         = {2018},
}

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