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Positive blood culture detection in time series data using a BiLSTM network

Leen De Baets (UGent) , Joeri Ruyssinck (UGent) , Thomas Peiffer, Filip De Turck (UGent) , Femke Ongenae (UGent) , Tom Dhaene (UGent) and Johan Decruyenaere (UGent)
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The ignition of supernova explosions and neutrino nucleo synthesis.

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Chicago
De Baets, Leen, Joeri Ruyssinck, Thomas Peiffer, Filip De Turck, Femke Ongenae, Tom Dhaene, and Johan Decruyenaere. 2016. “Positive Blood Culture Detection in Time Series Data Using a BiLSTM Network.” In NIPS 2016 Workshop on Machine Learning for Health, Papers.
APA
De Baets, L., Ruyssinck, J., Peiffer, T., De Turck, F., Ongenae, F., Dhaene, T., & Decruyenaere, J. (2016). Positive blood culture detection in time series data using a BiLSTM network. NIPS 2016 Workshop on Machine Learning for Health, Papers. Presented at the NIPS 2016 Workshop on Machine Learning for Health (NIPS ML4HC) ; workshop at the 29th Annual conference on Neural Information Processing Systems (NIPS 2016).
Vancouver
1.
De Baets L, Ruyssinck J, Peiffer T, De Turck F, Ongenae F, Dhaene T, et al. Positive blood culture detection in time series data using a BiLSTM network. NIPS 2016 Workshop on Machine Learning for Health, Papers. 2016.
MLA
De Baets, Leen et al. “Positive Blood Culture Detection in Time Series Data Using a BiLSTM Network.” NIPS 2016 Workshop on Machine Learning for Health, Papers. 2016. Print.
@inproceedings{8606681,
  author       = {De Baets, Leen and Ruyssinck, Joeri and Peiffer, Thomas and De Turck, Filip and Ongenae, Femke and Dhaene, Tom and Decruyenaere, Johan},
  booktitle    = {NIPS 2016 Workshop on Machine Learning for Health, Papers},
  language     = {eng},
  location     = {Barcelona, Spain},
  title        = {Positive blood culture detection in time series data using a BiLSTM network},
  year         = {2016},
}